Frequency modulation control method for load side resource cooperation based on carbon emission

Abstract

The invention provides a load side resource collaborative frequency modulation control method based on carbon emission, and the method comprises the steps: constructing a temperature control load frequency modulation model which is used for simulating the changes of the upper and lower frequency modulation capacities of a temperature control load along with the operation state; constructing an electric vehicle load frequency modulation model for simulating the change of upper and lower frequency modulation capacities of the electric vehicle along with the charge state; constructing an optimization model considering carbon emission, wherein the optimization model is used for simulating changes of power grid frequency modulation total cost and generating capacity; constructing constraint groups corresponding to the models respectively; and under the limitation of the constraint group, solving the temperature control load frequency modulation model and the electric vehicle load frequency modulation model through a commercial solver by taking the minimization of the total operation cost of the model as an objective function, and obtaining operation decisions of the temperature control load and the electric vehicle and responses participating in frequency modulation control. According to the method, the problem of high carbon emission caused by coping with system frequency modulation through reserved spare capacity of the generator set in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system frequency regulation, and in particular to a frequency regulation control method, a frequency regulation control device, a computer-readable storage medium, a processor and a power dispatching system for load-side resource coordination based on carbon emissions. Background Art

[0002] In the context of global climate change and energy crisis, the low-carbon operation of power systems has attracted more and more attention. Traditional power systems usually rely on fossil fuels such as coal, oil and natural gas, which produce a large amount of carbon dioxide during combustion, thereby polluting the environment. Therefore, reducing carbon emissions from power systems has become an urgent task to mitigate climate change. In order to promote the low-carbon operation of power systems, clean new energy sources such as wind power, solar power, and tidal power have been introduced on a large scale in power systems, which not only improves the ecological environment, but also brings many challenges to the safe and stable operation of power systems due to the uncertainty and intermittency of new energy generation. One of the major challenges is frequency stability. The frequency of the power system reflects the balance of active power, and frequency fluctuations will endanger the safety and stability of the power system.

[0003] The frequency regulation of traditional power systems mainly relies on generators, which is mainly suitable for situations where the power generation of renewable energy is small. However, as the installed capacity of renewable energy gradually increases, traditional generators are unable to meet the frequency regulation needs of the system due to the limitation of the ramp rate, thus endangering the stable operation of the system. Therefore, it is necessary to tap the resources on the demand side of the power system, such as temperature control loads, electric vehicle loads, etc., to maintain the frequency stability of the power system with high penetration of renewable energy. Traditional generators leave a part of the spare capacity during operation to meet the needs of system frequency regulation, so their carbon emissions are relatively high. If a variety of load-side resources are reasonably used to participate in frequency regulation, the rotating reserve capacity of the generator set can be reduced, thereby reducing carbon emissions. Summary of the invention

[0004] The main purpose of the present application is to provide a frequency regulation control method, a frequency regulation control device, a computer-readable storage medium, a processor and a power dispatching system for load-side resource coordination based on carbon emissions, so as to at least solve the problem of higher carbon emissions in the prior art of reserving spare capacity of generator sets to cope with system frequency regulation.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a frequency regulation control method for load-side resource coordination based on carbon emissions is provided, the method being applied to a power frequency regulation system with multiple load-side resources, the power frequency regulation system comprising a dispatching center, a load aggregator and load-side resources, the dispatching center controlling the load aggregator through automatic power generation control, the load aggregator controlling the load-side resources according to the control instructions of the dispatching center, the load-side resources being load-controllable devices at the end of the power grid, the method comprising: constructing a temperature-controlled load frequency regulation model, the temperature-controlled load frequency regulation model being used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; constructing an electric vehicle load frequency regulation model, the electric vehicle load frequency regulation model being used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; constructing a carbon emission cost model based on the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model, the carbon emission cost model being used to simulate the total grid frequency regulation cost changing with the power frequency regulation system satisfying the temperature-controlled load and the electric vehicle load frequency regulation model. The invention relates to a method for calculating the change trend of power generation under the demand of electric vehicles; constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency modulation model, the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency modulation model, the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, the third constraint group is used to limit the operating parameters of each node in the power frequency modulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint; under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with the minimization of the output value of the carbon emission cost model as the objective function, the operating parameters of the temperature control load and the electric vehicle are obtained, and the frequency modulation control instruction is generated based on the operating parameters; the frequency modulation control instruction is sent to the load aggregator to control the operation of the temperature control load and the electric vehicle.

[0006] Optionally, constructing a temperature control load frequency modulation model includes: constructing a first target formula The first target formula is used to simulate the change trend of indoor temperature with the heating / cooling capacity of the temperature control load: and is the indoor temperature at time t+1 and t, and T t out is the outdoor temperature at time t+1 and time t, Q t is the heating / cooling capacity of the temperature control load, in Q t>0, the temperature control load is cooling, Q t <0 temperature control load for heating, C is the equivalent specific heat capacity of the room, R is the equivalent thermal resistance of the room, Δt is the time interval between t+1 and t; construct the second target formula The second objective formula is used to simulate the changing trend of the heating / cooling capacity of the temperature control load with the temperature control load power, wherein i represents the load aggregator, j represents the load side resources, and the load side resources at least include the temperature control load, Q i,j,t is the cooling / heating of the jth temperature-controlled load of load aggregator i at time t; η i,j is the energy efficiency conversion coefficient of the jth temperature control load of load aggregator i; is the power of the jth temperature-controlled load of load aggregator i at time t; construct the third objective formula The third objective formula is used to simulate the variation trend of the aggregated temperature control load of the load aggregator with the temperature control load power, wherein: is the aggregate temperature control load of the load aggregator i at time t, is the set of temperature control loads of load aggregator i; construct the fourth objective formula And the fifth goal formula The fourth target formula is used to simulate the change trend of the upper frequency regulation capacity of the temperature control load with the aggregate temperature control load, and the fifth target formula is used to simulate the change trend of the lower frequency regulation capacity of the temperature control load with the operating state of the temperature control load, wherein, is the rated power of the jth temperature-controlled load of the load aggregator i, and They are respectively the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load; the temperature control load frequency regulation model is obtained by combining the first target formula, the second target formula, the third target formula, the fourth target formula and the fifth target formula.

[0007] Optionally, constructing an electric vehicle load frequency regulation model includes: constructing a sixth target formula The sixth target formula is used to simulate the change trend of the state of charge of the electric vehicle with the charging and discharging power, wherein SOC i,j,t+1 and SOC i,j,t are the charge states of the j-th electric vehicle of the load aggregator i at time t+1 and time t, respectively. and are the charging and discharging power of the j-th electric vehicle of the load aggregator i at time t, η ch and η dis are the efficiency of charge and discharge, E i,j represents the capacity of the j-th electric vehicle of the load aggregator i; construct the seventh objective formula The seventh objective formula is used to simulate the variation trend of the aggregated electric vehicle load of the load aggregator with the charging and discharging power of the electric vehicle, wherein: is the aggregated electric vehicle load of the load aggregator i at time t, is the electric vehicle load set of the load aggregator i; construct the eighth objective formula And the ninth goal formula The eighth target formula is used to simulate the change trend of the upper frequency regulation capacity of the electric vehicle with the aggregate temperature control load, and the ninth target formula is used to simulate the change trend of the lower frequency regulation capacity of the electric vehicle with the operating state of the temperature control load, wherein, and are the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle respectively, and are the maximum values ​​of the charging and discharging power respectively; the sixth target formula, the seventh target formula, the eighth target formula and the ninth target formula are combined to obtain the electric vehicle load frequency regulation model.

[0008] Optionally, a carbon emission cost model is constructed based on the temperature control load frequency modulation model and the electric vehicle load frequency modulation model, including: constructing a tenth target formula The tenth objective formula is used to simulate the change trend of the active power of the node in the power frequency modulation system with the aggregated temperature control load and the aggregated electric vehicle load, where E N is the set of nodes in the power grid, pf ki,t is the active power flowing from node k to node i at time t, pf ih,t is the active power flowing from node i to node h at time t, is the active power of the generator at node i at time t, is the active base load of node i at time t, is the frequency modulation power change instruction of node i at time t; is the remaining capacity after the frequency regulation fails at node i at time t; construct the eleventh objective formula Twelfth Target Formula and the thirteenth goal formula The eleventh target formula is used to simulate the changing trend of power generation cost with the active power, the twelfth target formula is used to simulate the changing trend of carbon emission cost with the active power, and the thirteenth target formula is used to simulate the changing trend of frequency regulation failure cost with the remaining capacity of frequency regulation failure, wherein C gen is the power generation cost, C carbon is the carbon emission cost, C fail is the frequency modulation failure cost, a i and bi is the preset coefficient of the power generation cost, c tax represents the tax per unit of carbon emissions, is the carbon emission factor of the generator at node i, c fail is the frequency regulation failure cost per unit flux; constructing a fourteenth objective formula, the fourteenth objective formula is used to simulate the variation trend of the total frequency regulation cost of the power grid with the power generation cost, the carbon emission cost and the frequency regulation failure cost: C total =C gen +C carbon +C fail Among them, C total is the total cost of the grid frequency regulation; the tenth target formula, the eleventh target formula, the twelfth target formula, the thirteenth target formula and the fourteenth target formula are combined to obtain the carbon emission cost model.

[0009] Optionally, constructing the first constraint group includes: constructing the temperature control load operation state constraint corresponding to each temperature control load to obtain a first target constraint: in, is the power of the jth temperature-controlled load of the load aggregator i at time t, s i,j,t and i,j,t-1 are the working states of the jth temperature control load of the load aggregator i at time t and t-1 respectively, and are the minimum and maximum allowable indoor temperatures of the jth temperature-controlled load of the load aggregator i, respectively. and satisfy: Among them, δ i,j represents the allowable temperature deviation of the jth temperature-controlled load of the load aggregator i, Set the temperature for the user; construct the temperature control load power constraint corresponding to each temperature control load to obtain the second target constraint: The first constraint group is constructed according to the first target constraint and the second target constraint.

[0010] Optionally, constructing the second constraint group includes: constructing the state of charge constraint corresponding to each electric vehicle to obtain a third target constraint: in, and is the maximum and minimum value of the state of charge of the j-th electric vehicle of the load aggregator i; construct the charging and discharging power constraints corresponding to each electric vehicle to obtain the fourth target constraint: Among them, η ch and η disare the efficiency of charge and discharge respectively; construct the operating state constraints corresponding to each electric vehicle to obtain the fifth objective constraint: in, and A binary variable is a charge and discharge state of the charging load of the electric vehicle; and the second constraint group is constructed according to the third target constraint, the fourth target constraint and the fifth target constraint.

[0011] Optionally, constructing the third constraint group includes: constructing the reactive power balance constraint corresponding to the power frequency regulation system to obtain a sixth target constraint: Among them, qf ih,t is the reactive power flowing from node i to node h at time t, is the reactive power of the generator at node i at time t, represents the reactive basic load of node i at time t; constructing the generator power generation constraint corresponding to the power frequency regulation system, and obtaining the seventh target constraint: in, and are the maximum and minimum active powers of the generator at node i respectively; and are the maximum and minimum reactive power of the generator at node i respectively; represents the maximum ramp rate of the generator at node i; constructing the power flow calculation constraint corresponding to the power frequency regulation system, and obtaining the eighth target constraint: Among them, V i,t is the square of the voltage amplitude of node i at time t, r ih Indicates the line ih resistance, x ih Represents the line ih reactance, V i max and V i min represents the maximum and minimum values ​​of the square of the voltage amplitude at node i, represents the maximum apparent power of line ih (correct); constructing the third constraint group according to the sixth target constraint, the seventh target constraint and the eighth target constraint.

[0012] According to another aspect of the present application, a frequency regulation control device for load-side resource coordination based on carbon emissions is provided, and the device is applied to a power frequency regulation system with multiple load-side resources, wherein the power frequency regulation system comprises a dispatching center, a load aggregator and load-side resources, wherein the dispatching center controls the load aggregator through automatic power generation control, and the load aggregator controls the load-side resources according to the control instructions of the dispatching center, and the load-side resources are load-controllable devices at the end of the power grid, and the device comprises: a first construction unit, which is used to construct a temperature-controlled load frequency regulation model, and the temperature-controlled load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; a second construction unit, which is used to construct an electric vehicle load frequency regulation model, and the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; a third construction unit, which is used to construct a carbon emission cost model according to the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model, and the carbon emission cost model is used to simulate the change trend of the total grid frequency regulation cost with the power frequency regulation system in meeting the temperature-controlled load and the state of charge of the electric vehicle. a fourth construction unit, for constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency modulation model, the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency modulation model, the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, the third constraint group is used to limit the operating parameters of each node in the power frequency modulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint; a calculation unit, for solving the temperature control load frequency modulation model and the electric vehicle load frequency modulation model through a commercial solver under the constraints of the first constraint group, the second constraint group and the third constraint group, with the minimization of the output value of the carbon emission cost model as the objective function, to obtain the operating parameters of the temperature control load and the electric vehicle, and generate a frequency modulation control instruction based on the operating parameters; and sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the electric vehicle operation.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, characterized in that the computer-readable storage medium includes a stored program, wherein when the program is executed, any one of the methods described in the device where the computer-readable storage medium is located is controlled.

[0014] According to another aspect of the present application, a power dispatching system is provided, characterized in that it includes: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the described methods.

[0015] Applying the technical solution of the present application, in a frequency regulation control method for coordinated load-side resources based on carbon emissions, it is applied to a power frequency regulation system with multiple load-side resources, the power frequency regulation system includes a dispatching center, a load aggregator and load-side resources, the dispatching center controls the load aggregator through automatic power generation control, the load aggregator controls the load-side resources according to the control instructions of the dispatching center, the load-side resources are load-controllable devices at the end of the power grid, first, a temperature-controlled load frequency regulation model is constructed, the temperature-controlled load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; then, an electric vehicle load frequency regulation model is constructed, the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; thereafter, a carbon emission cost model is constructed according to the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model, the carbon emission cost model is used to simulate the total cost of power grid frequency regulation as the power frequency regulation system meets the needs of the temperature-controlled load and the electric vehicle. the changing trend of power generation; then, constructing a first constraint group, a second constraint group and a third constraint group, the first constraint group is used to limit the operating parameters of the temperature control load frequency modulation model, the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency modulation model, the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, the third constraint group is used to limit the operating parameters of each node in the power frequency modulation system, the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint; then, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with the objective function of minimizing the output value of the carbon emission cost model, the operating parameters of the temperature control load and the electric vehicle are obtained, and the frequency modulation control instruction is generated based on the operating parameters; finally, the frequency modulation control instruction is sent to the load aggregator to control the operation of the temperature control load and the electric vehicle. This application introduces a variety of load-side resources, such as air conditioners and electric vehicles, into the grid frequency regulation control to reduce the rotating reserve capacity of the generator, thereby reducing carbon emissions, establishes corresponding numerical models for load-side resources for simulation, and introduces carbon emissions and engine power generation to build a cost numerical model. In order to minimize the cost numerical model, the numerical model is optimized through a commercial solver to obtain control instructions, and the control instructions are sent to the corresponding load-side resources. This method solves the problem of high carbon emissions in the prior art of reserving spare capacity to cope with system frequency regulation by generator sets. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1A hardware structure block diagram of a mobile terminal according to a frequency modulation control method for load-side resource coordination based on carbon emissions provided in an embodiment of the present application is shown;

[0017] Figure 2 A flow chart of a frequency modulation control method for load-side resource coordination based on carbon emissions provided in accordance with an embodiment of the present application is shown;

[0018] Figure 3 A structural block diagram of a frequency regulation control device for load-side resource coordination based on carbon emissions provided according to an embodiment of the present application is shown.

[0019] The above drawings include the following reference numerals:

[0020] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] As introduced in the background technology, in the prior art, traditional generator sets reserve a part of spare capacity during operation to meet the needs of system frequency regulation, so their carbon emissions are relatively high. In order to solve the problem of high carbon emissions caused by reserving spare capacity by generator sets to meet the needs of system frequency regulation, the embodiments of the present application provide a frequency regulation control method, frequency regulation control device, computer-readable storage medium, processor and power dispatching system based on carbon emissions and load-side resource coordination.

[0025] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0026] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal of a frequency modulation control method based on load-side resource coordination of carbon emissions according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0027] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the display method of device information in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a frequency control method for load-side resource coordination based on carbon emissions is provided, which runs on a mobile terminal, a computer terminal or a similar computing device. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Figure 2 FIG. 1 is a flow chart of a method for frequency modulation control based on load-side resource coordination based on carbon emissions according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0030] Step S201, constructing a temperature control load frequency modulation model, wherein the temperature control load frequency modulation model is used to simulate the change trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature control load along with the operation state of the temperature control load;

[0031] Specifically, the temperature control load, i.e., air conditioner and other load electrical appliances that can adjust indoor temperature, uses the temperature control load frequency regulation model to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load as the operating state of the temperature control load changes, and utilizes the thermal inertia of the temperature control load to participate in auxiliary frequency regulation.

[0032] Step S202, constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0033] Specifically, the electric vehicle load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle, so that the electric vehicle load can choose to charge or discharge according to the frequency regulation demand to assist the frequency regulation. The electric vehicle can not only be charged from the power grid, but also discharge to the power grid using the bidirectional charging mode.

[0034] Step S203, constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0035] Specifically, a carbon emission cost model is constructed based on the above-mentioned temperature control load frequency regulation model and the above-mentioned electric vehicle load frequency regulation model, and a carbon emission cost model is constructed based on the changing trends of power generation cost and carbon emission cost with node active power in the above-mentioned power frequency regulation system, the changing trends of frequency regulation failure cost with the remaining capacity of frequency regulation failure, and the changing trends of the above-mentioned total power grid frequency regulation cost with the above-mentioned power generation cost, the above-mentioned carbon emission cost and the above-mentioned frequency regulation failure cost.

[0036] Step S204, constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0037] Specifically, the temperature-controlled load power constraint is used to limit the output power of the temperature-controlled load, and the temperature-controlled load operating state constraint is used to limit the operating mode of the temperature-controlled load, so that it remains within the temperature range set by the user and continuously switches the on / off state. The temperature-controlled load can only be in one of the charging state, discharging state and idle state within a time period, and conversion can occur between different states.

[0038] Similarly, the electric vehicle power constraint is used to limit the charging and discharging power of the electric vehicle, the charge state constraint is used to limit the battery power of the electric vehicle, and the electric vehicle operating state constraint is used to limit the charging and discharging state of the electric vehicle. The above-mentioned electric vehicle load can only be in one of the charging state, discharging state and idle state within a time period, and conversion can occur between different states.

[0039] Step S205, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and generate frequency modulation control instructions based on the operating parameters;

[0040] Specifically, within the first constraint group mentioned above, that is, the temperature control load operates within the working range set by the user, the second constraint group, that is, the range corresponding to the state of charge, charging and discharging power and operating state of the electric vehicle, and the third constraint group, that is, the reactive balance, generator power and flow calculation range of the power frequency regulation system, the carbon emission cost model is solved directly using a commercial solver with the minimum carbon emission cost as the objective function to obtain the operating parameters of the temperature control load and the electric vehicle, and frequency regulation control instructions are generated based on the operating parameters.

[0041] Step S206, sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle;

[0042] Specifically, the dispatching center of the power system sends frequency regulation instructions to load aggregators through automatic power generation control to control various load-side resources.

[0043] Through this embodiment, first, a temperature-controlled load frequency regulation model is constructed, and the above-mentioned temperature-controlled load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; then, an electric vehicle load frequency regulation model is constructed, and the above-mentioned electric vehicle load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the above-mentioned electric vehicle; then, a carbon emission cost model is constructed according to the above-mentioned temperature-controlled load frequency regulation model and the above-mentioned electric vehicle load frequency regulation model, and the above-mentioned carbon emission cost model is used to simulate the changing trend of the total grid frequency regulation cost with the power generation of the power frequency regulation system under the condition of meeting the above-mentioned temperature-controlled load and the needs of the electric vehicle; then, a first constraint group, a second constraint group and a third constraint group are constructed, and the above-mentioned first constraint group is used to limit the operating parameters of the above-mentioned temperature-controlled load frequency regulation model, and the above-mentioned first constraint group at least includes the temperature-controlled load power Constraints and temperature-controlled load operating state constraints, the above-mentioned second constraint group is used to limit the operating parameters of the above-mentioned electric vehicle load frequency regulation model, the above-mentioned second constraint group at least includes charge state constraints, charge and discharge power constraints and operating state constraints, the above-mentioned third constraint group is used to limit the operating parameters of each node in the above-mentioned power frequency regulation system, the above-mentioned third constraint group at least includes reactive power balance constraints, generator power generation constraints and power flow calculation constraints; then, under the constraints of the above-mentioned first constraint group, the above-mentioned second constraint group and the above-mentioned third constraint group, the above-mentioned temperature-controlled load frequency regulation model and the above-mentioned electric vehicle load frequency regulation model are solved by a commercial solver with the objective function of minimizing the output value of the above-mentioned carbon emission cost model, and the operating parameters of the temperature-controlled load and the electric vehicle are obtained, and the frequency regulation control instructions are generated based on the above-mentioned operating parameters; finally, the above-mentioned frequency regulation control instructions are sent to the above-mentioned load aggregator to control the temperature-controlled load and the electric vehicle operation. This application introduces a variety of load-side resources, such as air conditioners and electric vehicles, into the grid frequency regulation control to reduce the rotating reserve capacity of the generator, thereby reducing carbon emissions, establishes corresponding numerical models for load-side resources for simulation, and introduces carbon emissions and engine power generation to build a cost numerical model. In order to minimize the cost numerical model, the numerical model is optimized through a commercial solver to obtain control instructions, and the control instructions are sent to the corresponding load-side resources. This method solves the problem of high carbon emissions in the prior art of reserving spare capacity to cope with system frequency regulation by generator sets.

[0044] In order to construct a temperature control load frequency modulation model, in an optional implementation, the above step S201 includes:

[0045] Step S2011, construct the first target formula The first objective formula is used to simulate the change trend of indoor temperature with the heating / cooling capacity of the temperature control load, where: and T t in is the indoor temperature at time t+1 and t, and T t out is the outdoor temperature at time t+1 and time t, Q t is the heating / cooling capacity of the temperature control load, in Q t >0, the temperature control load is cooling, Q t <0 temperature control load for heating, C is the equivalent specific heat capacity of the room, R is the equivalent thermal resistance of the room, Δt is the time interval between t+1 and t;

[0046] Furthermore, the modeling of temperature control load usually adopts a first-order equivalent thermal parameter model to describe the change of indoor temperature. The formula of the equivalent thermal parameter model is as follows:

[0047]

[0048] Where C is the equivalent heat capacity, R is the equivalent thermal resistance, T t in and T t out represent the indoor and outdoor ambient temperatures at time t, respectively, Q t is the cooling / heating capacity of the air conditioner at time t, when Q t >0, the air conditioner is in cooling mode. t When <0, the air conditioner is in heating working state.

[0049] Discretization is performed on the basis of the above formula to construct the above first target formula.

[0050] Step S2012, construct the second target formula The second objective formula is used to simulate the change trend of the heating / cooling capacity of the temperature control load with the temperature control load power, where i represents the load aggregator, j represents the load side resources, and the load side resources at least include the temperature control load, Q i,j,t is the cooling / heating of the jth temperature-controlled load of load aggregator i at time t; η i,j is the energy efficiency conversion coefficient of the jth temperature control load of load aggregator i; is the power of the jth temperature-controlled load of load aggregator i at time t;

[0051] Specifically, the second target formula is constructed according to the correlation between the air conditioning cooling capacity and the air conditioning output power.

[0052] Step S2013, construct the third target formula The third objective formula is used to simulate the variation trend of the aggregated temperature control load of the load aggregator with the temperature control load power, where: is the aggregate temperature control load of the load aggregator i at time t, is the collection of temperature control loads of load aggregator i;

[0053] Specifically, the temperature control load powers corresponding to the temperature control loads are aggregated based on an aggregation quotient to obtain the above-mentioned aggregated temperature control load.

[0054] Step S2014, construct the fourth target formula And the fifth goal formula The fourth target formula is used to simulate the change trend of the upper frequency regulation capacity of the temperature control load with the above-mentioned aggregate temperature control load, and the fifth target formula is used to simulate the change trend of the lower frequency regulation capacity of the temperature control load with the operating state of the temperature control load, wherein, is the rated power of the jth temperature-controlled load of the load aggregator i, and They are the above-mentioned upper frequency regulation capacity and the above-mentioned lower frequency regulation capacity of the temperature control load respectively;

[0055] Specifically, based on the fourth target formula, the above-mentioned upper frequency regulation capacity of the temperature control load participating in the system frequency regulation can be simulated. and the above lower frequency modulation capacity The correlation with the aggregate temperature control load of the aggregator.

[0056] Step S2015, combining the first target formula, the second target formula, the third target formula, the fourth target formula and the fifth target formula to obtain the temperature control load frequency modulation model.

[0057] Specifically, by establishing the temperature control load frequency regulation model, the thermal inertia of the temperature control load can be used to participate in auxiliary frequency regulation.

[0058] In order to construct an electric vehicle load frequency regulation model, in an optional implementation, the above step S202 includes:

[0059] Step S2021, construct the sixth target formula The sixth objective formula is used to simulate the change trend of the state of charge of the electric vehicle with the charging and discharging power, where SOC i,j,t+1 and SOC i,j,t are the charge states of the j-th electric vehicle of the load aggregator i at time t+1 and time t, respectively. and are the charging and discharging power of the j-th electric vehicle of the load aggregator i at time t, η ch and η dis are the efficiency of charge and discharge, E i,j represents the capacity of the j-th EV of the above load aggregator i;

[0060] Specifically, in the embodiment of the present invention, the electric vehicle load in the automatic power generation control mode is mainly considered, and the electric vehicle load is divided into a charging state, a discharging state and an idle state, and the electric vehicle can only be in one state in a time period, and different states can be converted. On this basis, based on the correlation between the state of charge of the electric vehicle and the charging and discharging power, the above sixth target formula is constructed.

[0061] Step S2022, construct the seventh target formula The seventh objective formula is used to simulate the variation trend of the aggregated electric vehicle load of the load aggregator as the charging and discharging power of the electric vehicle, wherein: is the aggregated electric vehicle load of the load aggregator i at time t, is the electric vehicle load collection of the load aggregator i above;

[0062] Specifically, the charging and discharging powers corresponding to the electric vehicles are aggregated based on an aggregator to obtain the above-mentioned aggregated electric vehicle load.

[0063] Step S2023, construct the eighth target formula And the ninth goal formula The eighth objective formula is used to simulate the change trend of the upper frequency regulation capacity of the electric vehicle with the above-mentioned aggregate temperature control load, and the ninth objective formula is used to simulate the change trend of the lower frequency regulation capacity of the electric vehicle with the operating state of the temperature control load, wherein, and are the above-mentioned upper frequency regulation capacity and the above-mentioned lower frequency regulation capacity of electric vehicles, respectively. and are the maximum values ​​of charge and discharge power respectively;

[0064] Specifically, based on the eighth objective formula, the above-mentioned upper frequency regulation capacity of the electric vehicle load participating in the frequency regulation can be simulated. and the above lower frequency modulation capacity The association with the aggregated EV load of the aggregator.

[0065] Step S2024, combining the sixth target formula, the seventh target formula, the eighth target formula and the ninth target formula to obtain the electric vehicle load frequency regulation model.

[0066] Specifically, the electric vehicle load frequency regulation model is constructed according to the sixth target formula, the seventh target formula, the eighth target formula and the ninth target formula.

[0067] In order to construct a carbon emission cost model, in an optional implementation, step S203 includes:

[0068] Step S2031, construct the tenth target formula The above tenth objective formula is used to simulate the change trend of the active power of the node in the above power frequency modulation system with the aggregated temperature control load and the aggregated electric vehicle load, where E N is the set of nodes in the power grid, pf ki,t is the active power flowing from node k to node i at time t, pf ih,t is the active power flowing from node i to node h at time t, is the active power of the generator at node i at time t, is the active base load of node i at time t, is the frequency modulation power change instruction of node i at time t, is the remaining capacity after frequency regulation failure at node i at time t;

[0069] Specifically, based on the influence of temperature control load regulation and electric vehicle regulation on the power generation of the power grid, an active power balance formula of each node of the above power grid is constructed to obtain the above tenth target formula.

[0070] Step S2032, construct the eleventh target formula Twelfth Target Formula and the thirteenth goal formula The above eleventh target formula is used to simulate the changing trend of power generation cost with the above active power, the above twelfth target formula is used to simulate the changing trend of carbon emission cost with the above active power, and the above thirteenth target formula is used to simulate the changing trend of frequency regulation failure cost with the above remaining capacity of frequency regulation failure, where C gen is the above power generation cost, C carbon is the above carbon emission cost, C fail is the above-mentioned frequency regulation failure cost, a i and b i is the preset coefficient of the above power generation cost, c tax represents the tax per unit of carbon emissions, is the carbon emission factor of the generator at node i, c fail is the frequency regulation failure cost per unit flux;

[0071] Specifically, the present application simplifies the cost of the power frequency regulation system into three parts, namely, power generation cost, carbon emission cost and frequency regulation failure penalty cost, and constructs corresponding formulas based on the correlation between the above costs and active power and reproductive capacity to simulate the above correlation, and obtains the above eleventh target formula, the twelfth target formula and the above thirteenth target formula.

[0072] Step S2033, construct the fourteenth target formula C total =C gen +Ccarbon +C fail , the fourteenth objective formula is used to simulate the changing trend of the total cost of the power grid frequency regulation with the power generation cost, the carbon emission cost and the frequency regulation failure cost, where C total is the total cost of the above power grid frequency regulation;

[0073] Specifically, based on the correlation between the total power frequency regulation cost and the above-mentioned power generation cost, the above-mentioned carbon emission cost and the above-mentioned frequency regulation failure cost, the above-mentioned fourteenth target formula is constructed.

[0074] Step S2034, combining the tenth target formula, the eleventh target formula, the twelfth target formula, the thirteenth target formula and the fourteenth target formula to obtain the carbon emission cost model.

[0075] Specifically, the carbon emission cost model is constructed according to the tenth target formula, the eleventh target formula, the twelfth target formula, the thirteenth target formula and the fourteenth target formula.

[0076] In order to construct the first constraint group, in an optional implementation, step S204 includes:

[0077] Step S20411, construct the above temperature control load operation state constraints corresponding to each temperature control load to obtain the first target constraint:

[0078]

[0079] in, is the power of the jth temperature-controlled load of the load aggregator i at time t, s i,j,t and i,j,t-1 are the working states of the jth temperature control load of the load aggregator i at time t and t-1, respectively. and are the minimum and maximum allowable indoor temperatures of the jth temperature-controlled load of the load aggregator i, respectively. and Respectively meet:

[0080]

[0081] Among them, δ i,j represents the allowable temperature deviation of the jth temperature-controlled load of the above load aggregator i, Set the temperature for the user;

[0082] Specifically, based on the indoor temperature, the user set temperature, the cooling capacity of the temperature control load and the heating / cooling power of the temperature control load, the operating state of the temperature control load is associated with the above parameters to obtain the above first target constraint.

[0083] Furthermore, since the above constraints are nonlinear constraints, in order to facilitate solving, the present application converts the above nonlinear constraints into linear constraints for representation, specifically including:

[0084] Introduce 3 auxiliary binary variables To represent the indicator variable of indoor temperature. The relationship between the auxiliary variable and temperature is as follows:

[0085]

[0086] Among them, M represents a very large number used to relax the constraints.

[0087] Then, the first objective constraint is transformed as follows:

[0088]

[0089] Step S20412: construct the above temperature control load power constraints corresponding to each temperature control load to obtain the second target constraint:

[0090]

[0091] Specifically, the second target constraint is used to limit the output power of the temperature control load to be between an upper limit and a lower limit.

[0092] Step S20413: construct the first constraint group according to the first target constraint and the second target constraint.

[0093] Specifically, the first objective constraint and the second objective constraint are combined to construct the first constraint group.

[0094] In order to construct the second constraint group, in an optional implementation, step S204 includes:

[0095] Step S20421, construct the above-mentioned state of charge constraints corresponding to each electric vehicle to obtain the third target constraint:

[0096]

[0097] in, and is the maximum and minimum state of charge of the j-th electric vehicle of the above load aggregator i;

[0098] Specifically, the third target constraint is used to limit the state of charge of the on-board battery of the electric vehicle to prevent the on-board battery from being overcharged or over-discharged.

[0099] Step S20422, construct the above charging and discharging power constraints corresponding to each electric vehicle to obtain the fourth target constraint:

[0100]

[0101] Among them, η ch and η dis are the efficiency of charge and discharge respectively;

[0102] Specifically, the fourth target constraint is used to limit the charging and discharging power of the electric vehicle to be less than the rated power.

[0103] Step S20423, construct the above operating state constraints corresponding to each electric vehicle to obtain the fifth target constraint:

[0104]

[0105] in, and is a binary variable of the charging and discharging state of the charging load of the electric vehicle;

[0106] Specifically, and A binary variable is used to represent the charging and discharging status of the electric vehicle charging load (1 for charging / discharging, 0 for not charging / discharging).

[0107] Step S20424: construct the second constraint group according to the third target constraint, the fourth target constraint and the fifth target constraint.

[0108] Specifically, the third objective constraint, the fourth objective constraint and the fifth objective constraint are combined to construct the second constraint group.

[0109] In order to construct the third constraint group, in an optional implementation, step S204 includes:

[0110] Step S20431, construct the reactive power balance constraint corresponding to the power frequency regulation system to obtain the sixth target constraint:

[0111]

[0112] Among them, qf ih,t is the reactive power flowing from node i to node h at time t, is the reactive power of the generator at node i at time t, is the reactive base load of node i at time t;

[0113] Specifically, each node of the above-mentioned power grid needs to satisfy reactive power balance while satisfying active power balance. On this basis, the above-mentioned sixth target constraint is constructed based on the reactive power balance of each node of the power grid.

[0114] Step S20432, construct the generator power generation constraint corresponding to the power frequency regulation system to obtain the seventh target constraint:

[0115]

[0116] in, and are the maximum and minimum active powers of the generator at node i respectively; and are the maximum and minimum reactive power of the generator at node i, respectively. represents the maximum ramp rate of the generator at node i;

[0117] Specifically, the seventh target constraint is obtained by constraining the operating state of the generator at each node of the power grid.

[0118] Step S20433, construct the power flow calculation constraint corresponding to the power frequency modulation system to obtain the eighth target constraint:

[0119]

[0120] Among them, V i,t is the square of the voltage amplitude of node i at time t, r ih represents the resistance of the circuit ih, x ih Represents the reactance of line ih, V i max and V i min represents the maximum and minimum values ​​of the square of the voltage amplitude at node i, Indicates the maximum apparent power of line ih (correct);

[0121] Specifically, the linearized Distflow model is used to represent the power flow equation of the power system without considering network losses to obtain the above formula, and the node voltage and power flow constraints are further constructed based on the power flow equation to obtain the above eighth target constraint.

[0122] Step S20434, constructing the third constraint group according to the sixth target constraint, the seventh target constraint and the eighth target constraint.

[0123] Specifically, the sixth objective constraint, the seventh objective constraint and the eighth objective constraint are combined to construct the third constraint group.

[0124] In the above embodiment, the frequency regulation instruction indicates the power that the load aggregator needs to increase or decrease at a specific moment. Through the optimization model we proposed, the frequency regulation power that each load aggregator should bear can be accurately determined based on their current status and capabilities under the overall AGC frequency regulation instruction. This approach enables a more efficient allocation of frequency regulation responsibilities and reduces reliance on traditional generator sets, thereby reducing the spinning reserve capacity of generators. Ultimately, this not only improves the frequency regulation efficiency of the power system, but also reduces the overall carbon emissions of the system and promotes the low-carbon economic operation of the power system.

[0125] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0126] The embodiment of the present application also provides a frequency regulation control device for load-side resource coordination based on carbon emissions. It should be noted that the frequency regulation control device for load-side resource coordination based on carbon emissions in the embodiment of the present application can be used to execute the frequency regulation control method for load-side resource coordination based on carbon emissions provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0127] The following introduces the frequency regulation control device for load-side resource coordination based on carbon emissions provided in an embodiment of the present application.

[0128] Figure 3 is a structural block diagram of a frequency modulation control device for load-side resource coordination based on carbon emissions according to an embodiment of the present application. Figure 3 As shown, the device comprises:

[0129] A first construction unit 10 is used to construct a temperature control load frequency regulation model, wherein the temperature control load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load with the operating state of the temperature control load;

[0130] Specifically, the temperature control load, i.e., air conditioner and other load electrical appliances that can adjust indoor temperature, uses the temperature control load frequency regulation model to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load as the operating state of the temperature control load changes, and utilizes the thermal inertia of the temperature control load to participate in auxiliary frequency regulation.

[0131] A second construction unit 20 is used to construct an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0132] Specifically, the electric vehicle load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle, so that the electric vehicle load can choose to charge or discharge according to the frequency regulation demand to assist the frequency regulation. The electric vehicle can not only be charged from the power grid, but also discharge to the power grid using the bidirectional charging mode.

[0133] A third construction unit 30 is used to construct a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the change trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0134] Specifically, a carbon emission cost model is constructed based on the above-mentioned temperature control load frequency regulation model and the above-mentioned electric vehicle load frequency regulation model, and a carbon emission cost model is constructed based on the changing trends of power generation cost and carbon emission cost with node active power in the above-mentioned power frequency regulation system, the changing trends of frequency regulation failure cost with the remaining capacity of frequency regulation failure, and the changing trends of the above-mentioned total power grid frequency regulation cost with the above-mentioned power generation cost, the above-mentioned carbon emission cost and the above-mentioned frequency regulation failure cost.

[0135] The fourth construction unit 40 is used to construct a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0136] Specifically, the temperature-controlled load power constraint is used to limit the output power of the temperature-controlled load, and the temperature-controlled load operating state constraint is used to limit the operating mode of the temperature-controlled load, so that it remains within the temperature range set by the user and continuously switches the on / off state. The electric vehicle load can only be in one of the charging state, discharging state and idle state within a time period, and conversions can occur between different states.

[0137] The calculation unit 50 is used to solve the temperature control load frequency modulation model and the electric vehicle load frequency modulation model through a commercial solver under the constraints of the first constraint group, the second constraint group and the third constraint group, taking the minimization of the output value of the carbon emission cost model as the objective function, obtain the operating parameters of the temperature control load and the electric vehicle, and generate the frequency modulation control instruction based on the operating parameters;

[0138] Specifically, within the first constraint group mentioned above, that is, the temperature control load operates within the working range set by the user, the second constraint group, that is, the range corresponding to the state of charge, charging and discharging power and operating state of the electric vehicle, and the third constraint group, that is, the reactive balance, generator power and flow calculation range of the power frequency regulation system, the carbon emission cost model is solved directly using a commercial solver with the minimum carbon emission cost as the objective function to obtain the operating parameters of the temperature control load and the electric vehicle, and frequency regulation control instructions are generated based on the operating parameters.

[0139] The sending unit 60 sends the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle;

[0140] Specifically, the dispatching center of the power system sends frequency regulation instructions to load aggregators through automatic power generation control to control various load-side resources.

[0141] Through this embodiment, the first construction unit constructs a temperature-controlled load frequency modulation model, and the temperature-controlled load frequency modulation model is used to simulate the changing trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; the second construction unit constructs an electric vehicle load frequency modulation model, and the electric vehicle load frequency modulation model is used to simulate the changing trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the electric vehicle with the charge state of the electric vehicle; the third construction unit constructs a carbon emission cost model based on the temperature-controlled load frequency modulation model and the electric vehicle load frequency modulation model, and the carbon emission cost model is used to simulate the changing trend of the total grid frequency modulation cost with the power generation of the power frequency modulation system under the condition of meeting the needs of the temperature-controlled load and the electric vehicle; the fourth construction unit constructs a first constraint group, a second constraint group and a third constraint group, and the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency modulation model, and the first constraint group at least includes the temperature The second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes charge state constraint, charge and discharge power constraint and operating state constraint. The third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes reactive power balance constraint, generator power generation constraint and flow calculation constraint. The calculation unit solves the temperature control load frequency regulation model and the electric vehicle load frequency regulation model through a commercial solver under the constraints of the first constraint group, the second constraint group and the third constraint group, taking the minimization of the output value of the carbon emission cost model as the objective function, and obtains the operating parameters of the temperature control load and the electric vehicle, and generates a frequency control instruction based on the operating parameters. The sending unit sends the frequency control instruction to the load aggregator to control the temperature control load and the electric vehicle operation. This application introduces a variety of load-side resources, such as air conditioners and electric vehicles, into the grid frequency regulation control to reduce the rotating reserve capacity of the generator, thereby reducing carbon emissions, establishes corresponding numerical models for load-side resources for simulation, and introduces carbon emissions and engine power generation to build a cost numerical model. In order to minimize the cost numerical model, the numerical model is optimized through a commercial solver to obtain control instructions, and the control instructions are sent to the corresponding load-side resources. This method solves the problem of high carbon emissions in the prior art of reserving spare capacity to cope with system frequency regulation by generator sets.

[0142] The frequency regulation control device for load-side resource coordination based on carbon emissions comprises a processor and a memory, wherein the first construction unit, the second construction unit, the third construction unit, the fourth construction unit, the calculation unit, etc. are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions. The above modules are all located in the same processor; or, the above modules are located in different processors in any combination.

[0143] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the frequency modulation control efficiency of the load-side resource coordination based on carbon emissions can be improved by adjusting the kernel parameters.

[0144] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0145] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the frequency modulation control method for load-side resource coordination based on carbon emissions.

[0146] Specifically, the frequency regulation control method based on load-side resource coordination of carbon emissions includes:

[0147] Step S201, constructing a temperature control load frequency modulation model, wherein the temperature control load frequency modulation model is used to simulate the change trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature control load along with the operation state of the temperature control load;

[0148] Step S202, constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0149] Step S203, constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0150] Step S204, constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0151] Step S205, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and generate frequency modulation control instructions based on the operating parameters;

[0152] Step S206, sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle;

[0153] Specifically, the dispatching center of the power system sends frequency regulation instructions to load aggregators through automatic power generation control to control various load-side resources.

[0154] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes the frequency modulation control method for load-side resource coordination based on carbon emissions when running.

[0155] Specifically, the frequency regulation control method based on load-side resource coordination of carbon emissions includes:

[0156] Step S201, constructing a temperature control load frequency modulation model, wherein the temperature control load frequency modulation model is used to simulate the change trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature control load along with the operation state of the temperature control load;

[0157] Step S202, constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0158] Step S203, constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0159] Step S204, constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0160] Step S205, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and generate frequency modulation control instructions based on the operating parameters;

[0161] Step S206, sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle.

[0162] An embodiment of the present invention provides a power dispatching system, the dispatching system comprising a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the following steps are implemented:

[0163] Step S201, constructing a temperature control load frequency modulation model, wherein the temperature control load frequency modulation model is used to simulate the change trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature control load along with the operation state of the temperature control load;

[0164] Step S202, constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0165] Step S203, constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0166] Step S204, constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0167] Step S205, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and generate frequency modulation control instructions based on the operating parameters;

[0168] Step S206, sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle.

[0169] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0170] Step S201, constructing a temperature control load frequency modulation model, wherein the temperature control load frequency modulation model is used to simulate the change trend of the upper frequency modulation capacity and the lower frequency modulation capacity of the temperature control load along with the operation state of the temperature control load;

[0171] Step S202, constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle;

[0172] Step S203, constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle;

[0173] Step S204, constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature control load frequency regulation model, and the first constraint group at least includes the temperature control load power constraint and the temperature control load operating state constraint, the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group at least includes the state of charge constraint, the charge and discharge power constraint and the operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group at least includes the reactive power balance constraint, the generator power generation constraint and the power flow calculation constraint;

[0174] Step S205, under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and generate frequency modulation control instructions based on the operating parameters;

[0175] Step S206, sending the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle.

[0176] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0177] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0178] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0179] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0180] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0181] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0182] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0183] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0184] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0185] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0186] 1) A frequency regulation control method for load-side resource coordination based on carbon emissions of the present application, first, construct a temperature-controlled load frequency regulation model, the temperature-controlled load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; then, construct an electric vehicle load frequency regulation model, the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; then, according to the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model, a carbon emission cost model is constructed, the carbon emission cost model is used to simulate the change trend of the total grid frequency regulation cost with the power generation of the power frequency regulation system under the condition of meeting the needs of the temperature-controlled load and the electric vehicle; then, a first constraint group, a second constraint group and a third constraint group are constructed, the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model, and the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model. The group includes at least a temperature-controlled load power constraint and a temperature-controlled load operating state constraint, the above-mentioned second constraint group is used to limit the operating parameters of the above-mentioned electric vehicle load frequency regulation model, the above-mentioned second constraint group includes at least a state of charge constraint, a charge and discharge power constraint and an operating state constraint, the above-mentioned third constraint group is used to limit the operating parameters of each node in the above-mentioned power frequency regulation system, and the above-mentioned third constraint group includes at least a reactive power balance constraint, a generator power generation constraint and a flow calculation constraint; then, under the constraints of the above-mentioned first constraint group, the above-mentioned second constraint group and the above-mentioned third constraint group, the above-mentioned temperature-controlled load frequency regulation model and the above-mentioned electric vehicle load frequency regulation model are solved by a commercial solver with the objective function of minimizing the output value of the above-mentioned carbon emission cost model, and the operating parameters of the temperature-controlled load and the electric vehicle are obtained, and the frequency regulation control instructions are generated based on the above-mentioned operating parameters; finally, the above-mentioned frequency regulation control instructions are sent to the above-mentioned load aggregator to control the temperature-controlled load and the electric vehicle operation. This application introduces a variety of load-side resources, such as air conditioners and electric vehicles, into the grid frequency regulation control to reduce the rotating reserve capacity of the generator, thereby reducing carbon emissions, establishes corresponding numerical models for load-side resources for simulation, and introduces carbon emissions and engine power generation to build a cost numerical model. In order to minimize the cost numerical model, the numerical model is optimized through a commercial solver to obtain control instructions, and the control instructions are sent to the corresponding load-side resources. This method solves the problem of high carbon emissions in the prior art of reserving spare capacity to cope with system frequency regulation by generator sets.

[0187] 2) A frequency regulation control device for load-side resource coordination based on carbon emissions of the present application, wherein the first construction unit constructs a temperature-controlled load frequency regulation model, and the temperature-controlled load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature-controlled load with the operating state of the temperature-controlled load; the second construction unit constructs an electric vehicle load frequency regulation model, and the electric vehicle load frequency regulation model is used to simulate the changing trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the state of charge of the electric vehicle; the third construction unit constructs a carbon emission cost model based on the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model, and the carbon emission cost model is used to simulate the changing trend of the total grid frequency regulation cost with the power generation of the power frequency regulation system under the condition of meeting the needs of the temperature-controlled load and the electric vehicle; the fourth construction unit constructs a first constraint group, a second constraint group and a third constraint group, and the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model, and the upper constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model. The first constraint group includes at least a temperature-controlled load power constraint and a temperature-controlled load operating state constraint. The second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model. The second constraint group includes at least a state of charge constraint, a charge and discharge power constraint, and an operating state constraint. The third constraint group is used to limit the operating parameters of each node in the power frequency regulation system. The third constraint group includes at least a reactive balance constraint, a generator power generation constraint, and a flow calculation constraint. Under the constraints of the first constraint group, the second constraint group, and the third constraint group, the calculation unit solves the temperature-controlled load frequency regulation model and the electric vehicle load frequency regulation model through a commercial solver with the objective function of minimizing the output value of the carbon emission cost model, obtains the operating parameters of the temperature-controlled load and the electric vehicle, and generates a frequency regulation control instruction based on the operating parameters. The sending unit sends the frequency regulation control instruction to the load aggregator to control the temperature-controlled load and the electric vehicle operation. This application introduces a variety of load-side resources, such as air conditioners and electric vehicles, into the grid frequency regulation control to reduce the rotating reserve capacity of the generator, thereby reducing carbon emissions, establishes corresponding numerical models for load-side resources for simulation, and introduces carbon emissions and engine power generation to build a cost numerical model. In order to minimize the cost numerical model, the numerical model is optimized through a commercial solver to obtain control instructions, and the control instructions are sent to the corresponding load-side resources. This method solves the problem of high carbon emissions in the prior art of reserving spare capacity to cope with system frequency regulation by generator sets.

[0188] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A frequency modulation control method based on load-side resource coordination of carbon emissions, characterized in that: The method is applied to a power frequency regulation system with multiple load-side resources, the power frequency regulation system comprising a dispatching center, a load aggregator and load-side resources, the dispatching center controls the load aggregator through automatic power generation control, the load aggregator controls the load-side resources according to the control instructions of the dispatching center, the load-side resources are load-controllable devices at the end of the power grid, and the method comprises: Constructing a temperature control load frequency regulation model, wherein the temperature control load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load along with the operation state of the temperature control load; Constructing an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; Constructing a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the variation trend of the total grid frequency regulation cost with the power generation of the power frequency regulation system when meeting the needs of the temperature control load and the electric vehicle; Constructing a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model, and the first constraint group includes at least a temperature-controlled load power constraint and a temperature-controlled load operating state constraint, and the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group includes at least a state of charge constraint, a charge and discharge power constraint and an operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group includes at least a reactive balance constraint, a generator power generation constraint and a power flow calculation constraint; Under the constraints of the first constraint group, the second constraint group and the third constraint group, the temperature control load frequency modulation model and the electric vehicle load frequency modulation model are solved by a commercial solver with minimization of the output value of the carbon emission cost model as the objective function to obtain operating parameters of the temperature control load and the electric vehicle, and frequency modulation control instructions are generated based on the operating parameters; The frequency modulation control instruction is sent to the load aggregator to control the temperature control load and the electric vehicle operation.

2. The method according to claim 1, characterized in that Construct a temperature control load frequency modulation model, including: Constructing the first target formula The first target formula is used to simulate the change trend of indoor temperature with the heating / cooling capacity of the temperature control load, wherein, and T t in is the indoor temperature at time t+1 and t, and T t out is the outdoor temperature at time t+1 and time t, Q t is the heating / cooling capacity of the temperature control load, in Q t >0, the temperature control load is cooling, Q t <0 temperature control load for heating, C is the equivalent specific heat capacity of the room, R is the equivalent thermal resistance of the room, Δt is the time interval between t+1 and t; Constructing the second target formula The second objective formula is used to simulate the changing trend of the heating / cooling capacity of the temperature control load with the temperature control load power, wherein i represents the load aggregator, j represents the load side resources, and the load side resources at least include the temperature control load, Q i,j,t is the cooling / heating of the jth temperature-controlled load of load aggregator i at time t; η i,j is the energy efficiency conversion coefficient of the jth temperature control load of load aggregator i; is the power of the jth temperature-controlled load of load aggregator i at time t; Constructing the third target formula The third objective formula is used to simulate the variation trend of the aggregated temperature control load of the load aggregator with the temperature control load power, wherein: is the aggregate temperature control load of the load aggregator i at time t, is the collection of temperature control loads of load aggregator i; Constructing the fourth goal formula And the fifth goal formula The fourth target formula is used to simulate the change trend of the upper frequency regulation capacity of the temperature control load with the aggregate temperature control load, and the fifth target formula is used to simulate the change trend of the lower frequency regulation capacity of the temperature control load with the operating state of the temperature control load, wherein, is the rated power of the jth temperature-controlled load of the load aggregator i, and are the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load respectively; The temperature control load frequency modulation model is obtained by combining the first target formula, the second target formula, the third target formula, the fourth target formula and the fifth target formula.

3. The method according to claim 2, characterized in that Construct an electric vehicle load frequency regulation model, including: Constructing the Sixth Target Formula The sixth target formula is used to simulate the change trend of the state of charge of the electric vehicle with the charging and discharging power, wherein SOC i,j,t+1 and SOC i,j,t are the charge states of the j-th electric vehicle of the load aggregator i at time t+1 and time t, respectively. and are the charging and discharging power of the j-th electric vehicle of the load aggregator i at time t, η ch and η dis are the efficiency of charge and discharge, E i,j represents the capacity of the j-th electric vehicle of the load aggregator i; Constructing the Seventh Goal Formula The seventh objective formula is used to simulate the variation trend of the aggregated electric vehicle load of the load aggregator with the charging and discharging power of the electric vehicle, wherein: is the aggregated electric vehicle load of the load aggregator i at time t, is the electric vehicle load set of the load aggregator i; Construct the eighth target formula, And the ninth goal formula The eighth target formula is used to simulate the change trend of the upper frequency regulation capacity of the electric vehicle with the aggregate temperature control load, and the ninth target formula is used to simulate the change trend of the lower frequency regulation capacity of the electric vehicle with the operating state of the temperature control load, wherein, and are the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle respectively, and are the maximum values ​​of charge and discharge power respectively; The sixth target formula, the seventh target formula, the eighth target formula and the ninth target formula are combined to obtain the electric vehicle load frequency regulation model.

4. The method according to claim 3, characterized in that A carbon emission cost model is constructed according to the temperature control load frequency modulation model and the electric vehicle load frequency modulation model, including: Constructing the Tenth Target Formula The tenth objective formula is used to simulate the change trend of the active power of the node in the power frequency modulation system with the aggregated temperature control load and the aggregated electric vehicle load, where E N is the set of nodes in the power grid, pf ki,t is the active power flowing from node k to node i at time t, pf ih,t is the active power flowing from node i to node h at time t, is the active power of the generator at node i at time t, is the active base load of node i at time t, is the frequency modulation power change instruction of node i at time t; is the remaining capacity after frequency regulation failure at node i at time t; Constructing the Eleventh Target Formula Twelfth Target Formula and the thirteenth goal formula The eleventh target formula is used to simulate the changing trend of power generation cost with the active power, the twelfth target formula is used to simulate the changing trend of carbon emission cost with the active power, and the thirteenth target formula is used to simulate the changing trend of frequency regulation failure cost with the remaining capacity of frequency regulation failure, wherein C gen is the power generation cost, C carbon is the carbon emission cost, C fail is the frequency modulation failure cost, a i and b i is the preset coefficient of the power generation cost, c tax represents the tax per unit of carbon emissions, c fail is the frequency regulation failure cost per unit flux; Construct the fourteenth target formula C total =C gen +C carbon +C fail The fourteenth objective formula is used to simulate the changing trend of the total cost of the power grid frequency regulation with the power generation cost, the carbon emission cost and the frequency regulation failure cost, wherein C total is the total cost of frequency regulation of the power grid; The carbon emission cost model is obtained by combining the tenth target formula, the eleventh target formula, the twelfth target formula, the thirteenth target formula and the fourteenth target formula.

5. The method according to any one of claims 1 to 4, characterized in that: Construct the first constraint group, including: The temperature control load operation state constraints corresponding to each temperature control load are constructed to obtain the first target constraint: in, is the power of the jth temperature-controlled load of the load aggregator i at time t, s i,j,t and i,j,t-1 are the working states of the jth temperature control load of the load aggregator i at time t and t-1 respectively, where and Respectively meet: Among them, δ i,j represents the allowable temperature deviation of the jth temperature-controlled load of the load aggregator i, Set the temperature for the user; The temperature control load power constraint corresponding to each temperature control load is constructed to obtain the second target constraint: The first constraint group is constructed according to the first target constraint and the second target constraint.

6. The method according to claim 3, characterized in that Construct the second constraint group, including: Construct the state of charge constraints corresponding to each electric vehicle to obtain the third target constraint in, and is the maximum and minimum value of the state of charge of the j-th electric vehicle of the load aggregator i; Construct the charging and discharging power constraints corresponding to each electric vehicle to obtain the fourth target constraint Among them, η ch and η dis are the efficiency factors for charging and discharging, respectively; Construct the operating state constraints corresponding to each electric vehicle to obtain the fifth target constraint in, and is a binary variable of the charging and discharging state of the charging load of the electric vehicle; The second constraint group is constructed according to the third objective constraint, the fourth objective constraint and the fifth objective constraint.

7. The method according to claim 4, characterized in that Construct the third constraint group, including: Construct the reactive power balance constraint corresponding to the power frequency regulation system to obtain the sixth target constraint Among them, qf ih,t is the reactive power flowing from node i to node h at time t, is the reactive power of the generator at node i at time t, is the reactive base load of node i at time t; Construct the generator power generation constraint corresponding to the power frequency regulation system to obtain the seventh objective constraint in, and are the maximum and minimum active powers of the generator at node i respectively; and are the maximum and minimum reactive power of the generator at node i respectively; represents the maximum ramp rate of the generator at node i; Construct the power flow calculation constraint corresponding to the power frequency regulation system to obtain the eighth target constraint Among them, V i,t is the square of the voltage amplitude of node i at time t, r ih represents the resistance of the circuit ih, x ih Represents the reactance of line ih, V i max and V i min represents the maximum and minimum values ​​of the square of the voltage amplitude at node i, Indicates the maximum apparent power of line ih; The third constraint group is constructed according to the sixth objective constraint, the seventh objective constraint and the eighth objective constraint.

8. A frequency control device based on carbon emission load-side resource coordination, characterized in that: The device is applied to a power frequency regulation system with multiple load side resources, the power frequency regulation system includes a dispatching center, a load aggregator and load side resources, the dispatching center controls the load aggregator through automatic power generation control, the load aggregator controls the load side resources according to the control instructions of the dispatching center, the load side resources are load controllable devices at the end of the power grid, and the device includes: A first construction unit is used to construct a temperature control load frequency regulation model, wherein the temperature control load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the temperature control load with the operating state of the temperature control load; A second construction unit is used to construct an electric vehicle load frequency regulation model, wherein the electric vehicle load frequency regulation model is used to simulate the change trend of the upper frequency regulation capacity and the lower frequency regulation capacity of the electric vehicle with the charge state of the electric vehicle; A third construction unit is used to construct a carbon emission cost model according to the temperature control load frequency regulation model and the electric vehicle load frequency regulation model, wherein the carbon emission cost model is used to simulate the change trend of the total grid frequency regulation cost as the power generation of the power frequency regulation system meets the needs of the temperature control load and the electric vehicle; A fourth construction unit is used to construct a first constraint group, a second constraint group and a third constraint group, wherein the first constraint group is used to limit the operating parameters of the temperature-controlled load frequency regulation model, and the first constraint group includes at least a temperature-controlled load power constraint and a temperature-controlled load operating state constraint, and the second constraint group is used to limit the operating parameters of the electric vehicle load frequency regulation model, and the second constraint group includes at least a state of charge constraint, a charge and discharge power constraint and an operating state constraint, and the third constraint group is used to limit the operating parameters of each node in the power frequency regulation system, and the third constraint group includes at least a reactive balance constraint, a generator power generation constraint and a power flow calculation constraint; a calculation unit, configured to solve the temperature control load frequency regulation model and the electric vehicle load frequency regulation model by a commercial solver under the constraints of the first constraint group, the second constraint group and the third constraint group, taking minimization of the output value of the carbon emission cost model as the objective function, obtain operating parameters of the temperature control load and the electric vehicle, and generate a frequency regulation control instruction based on the operating parameters; A sending unit is used to send the frequency modulation control instruction to the load aggregator to control the temperature control load and the operation of the electric vehicle.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A power dispatching system, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of claims 1 to 7.

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