A method and device for optimizing operation of a user-side integrated energy system

Abstract

The present application discloses an operation optimization method and device for a user-side integrated energy system, specifically, constructing an optimized operation model of the user-side integrated energy system taking into account the power demand response; solving the optimized operation model to obtain an optimized operation mode of the user-side integrated energy system. Through this optimized operation mode, the corresponding power generation equipment can respond sensitively to the power demand of the power grid, improving the flexibility of the power grid, and improving the optimization effect of the user-side integrated energy system through the above measures.

Description

Technical Field

[0001] The present application relates to the technical field of electric power equipment, and more specifically, to an operation optimization method and device for a user-side integrated energy system. Background Art

[0002] At present, my country is vigorously developing the construction of integrated energy systems. Integrated energy systems can improve terminal energy efficiency and promote the consumption of distributed renewable energy, which also leads to the user-side integrated energy system having multiple energy inputs and energy demands, and there are also multiple energy production equipment and energy conversion equipment inside. If the various equipment inside the user-side integrated energy system is not reasonably optimized, the integrated energy system will not be able to play its own advantages of multi-energy complementarity, which is not conducive to the consumption of internal distributed renewable energy and causes waste of resources.

[0003] On the other hand, the user-side integrated energy system often has power generation equipment and power storage equipment because of its electricity demand. It can actively implement demand response for the power grid and flexibly adjust its own electricity demand according to the needs of the power grid dispatch. In this way, it can provide backup for the power grid and enhance the flexibility and reliability of the power grid.

[0004] However, traditional operation optimization schemes mainly consider the operation mode of the user-side integrated energy system under a fixed external environment, and lack consideration of grid linkage and participation in power demand response, resulting in poor optimization results. Summary of the invention

[0005] In view of this, the present application provides a method and device for optimizing the operation of a user-side integrated energy system, which are used to improve the optimization effect of the user-side integrated energy system.

[0006] In order to achieve the above objectives, the proposed solution is as follows:

[0007] An operation optimization method for a user-side integrated energy system, the operation optimization method comprising the steps of:

[0008] Construct an optimal operation model of the user-side integrated energy system considering power demand response;

[0009] Solve the optimization operation model to obtain the optimized operation mode of the user-side integrated energy system.

[0010] Optionally, the construction of an optimized operation model of a user-side integrated energy system considering power demand response comprises the following steps:

[0011] Construct a device model of user-side integrated energy system energy considering power demand response;

[0012] The optimized operation model is constructed based on the equipment model.

[0013] Optionally, the equipment model includes a production equipment model, a conversion equipment model and a storage equipment model.

[0014] An operation optimization device for a user-side integrated energy system, the operation optimization device comprising:

[0015] A model building module is configured to build an optimal operation model of a user-side integrated energy system considering power demand response;

[0016] The model solving model is configured to solve the optimization operation model to obtain the optimized operation mode of the user-side integrated energy system.

[0017] Optionally, the model building module includes:

[0018] A first construction unit is configured to construct a device model of energy of a user-side integrated energy system considering power demand response;

[0019] The second construction unit is configured to construct the optimization operation model based on the equipment model.

[0020] Optionally, the equipment model includes a production equipment model, a conversion equipment model and a storage equipment model.

[0021] It can be seen from the above technical solutions that the present application discloses an operation optimization method and device for a user-side integrated energy system, specifically, constructing an optimized operation model of the user-side integrated energy system that takes into account the power demand response; solving the optimized operation model to obtain the optimized operation mode of the user-side integrated energy system. Through this optimized operation mode, the corresponding power generation equipment can respond sensitively to the power demand of the power grid, improving the flexibility of the power grid, and the above measures improve the optimization effect of the user-side integrated energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 A flowchart of an operation optimization method of a user-side integrated energy system according to an embodiment of the present application;

[0024] Figure 2 A topological diagram of the user-side integrated energy system of an embodiment of the present application;

[0025] Figure 3The operating condition of the gas turbine after the optimized operation of the embodiment of the present application;

[0026] Figure 4 The operation status of the energy storage battery after the optimized operation of the embodiment of the present application;

[0027] Figure 5 is the operating condition of the refrigeration air conditioner after the optimized operation of the embodiment of the present application;

[0028] Figure 6 This is a block diagram of an operation optimization device for a user-side integrated energy system according to an embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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 are within the scope of protection of this application.

[0030] Embodiment 1

[0031] Figure 1 This is a flow chart of a method for optimizing the operation of a user-side integrated energy system according to an embodiment of the present application.

[0032] like Figure 1 As shown, this embodiment provides an operation optimization method, which is applied to the user-side integrated energy system of the power grid, and the operation optimization method specifically includes the following steps:

[0033] S1. Construct an optimized operation model of the user-side integrated energy system.

[0034] Specifically, an optimal operation model of the user-side integrated energy system considering power demand response is constructed. The specific process constructed here is:

[0035] First, the device model of the user-side energy system considering power demand response is constructed. The device models here are production device model, conversion device model and storage device model. The specific construction process is as follows:

[0036] Step 1: Construct an energy production equipment model of the user-side integrated energy system considering power demand response.

[0037] Among the energy production equipment in the user-side integrated energy system, the gas turbine needs to establish an operation model that takes into account the power demand response. The input of the gas turbine is natural gas, and the output is electricity and heat. Its operation formula is:

[0038]

[0039] Where, t is the time period number; G is the gas turbine number; is the power generated by the gas turbine G at time t; is the heat production power of the gas turbine G at time t; is the natural gas consumption rate of the gas turbine G at time t; Indicates power generation efficiency; represents the heat generation efficiency; gas is the calorific value of natural gas. Heat generation power and natural gas consumption rate is the variable value, power generation efficiency Heat generation efficiency and natural gas calorific value λ gas is a known parameter that is determined.

[0040] The operating constraints of the gas turbine considering power demand response are:

[0041]

[0042] In the formula, is the power demand response synchronization reserve capacity reserved by the gas turbine G at time t; is the power demand response and frequency regulation reserve capacity reserved by the gas turbine G at time t; is the maximum power generation capacity of gas turbine G; is the minimum power generation capacity of gas turbine G; is the maximum heat production power of gas turbine G; is the minimum heat production power of the gas turbine G. [Power demand response synchronous reserve capacity and power demand response frequency regulation reserve capacity is the variable value, the maximum power generation Minimum power generation Maximum heat generation power and minimum heat generation power is a known parameter that is determined.

[0043] The ramping constraint of the gas turbine is:

[0044]

[0045] In the formula, is the power generation of gas turbine G at time t-1; is the maximum climbing power of gas turbine G; is the maximum downhill power of the gas turbine G. and maximum down-climbing power is a known parameter that is determined.

[0046] The constraints for gas turbine power demand response are:

[0047]

[0048]

[0049] Where D SR is the dispatch period of the synchronous reserve capacity in response to power demand; D SS is the dispatch period of the power demand response frequency regulation reserve capacity. SR and the dispatch period D of the power demand response frequency regulation reserve capacity SS are known parameters that have been determined.

[0050] Step 2: Construct an energy conversion equipment model of the user-side integrated energy system considering power demand response.

[0051] Among the energy conversion equipment in the user-side integrated energy system, refrigeration and air conditioning are the ones that need to establish an operation model that takes into account the power demand response. The input of refrigeration and air conditioning is electrical energy, and the output is cold energy. Its operation formula is:

[0052]

[0053] In the formula, C is the refrigeration air conditioning number; is the power consumption of the refrigeration air conditioner C at time t; is the cooling power of the air conditioner C at time t; I C Indicates cooling efficiency. and cooling power is the variable value, cooling efficiency I C is a known parameter that is determined.

[0054] The operating constraints of refrigeration and air conditioning considering power demand response are:

[0055]

[0056] In the formula, is the power demand response synchronization reserve capacity reserved by the refrigeration air conditioner C at time t; is the power demand response frequency regulation reserve capacity reserved by refrigeration and air conditioning C at time t; is the maximum power consumption of refrigeration and air conditioning C. [Power demand response synchronous reserve capacity and power demand response frequency regulation reserve capacity is the variable value, the maximum power consumption is a known parameter that is determined.

[0057] The constraints for power demand response for refrigeration and air conditioning are:

[0058]

[0059]

[0060] Step 3: Construct a user-side integrated energy system energy storage device model that considers power demand response.

[0061] Among the energy storage devices in the user-side integrated energy system, the energy storage battery needs to establish an operation model that takes into account the power demand response. The input of the energy storage battery is electrical energy, and the output is also electrical energy. The operating formula of its charging and discharging process is:

[0062]

[0063] Where, S is the refrigeration air conditioner number; S t is the storage capacity of the energy storage battery at time t; S t+1 is the storage capacity of the energy storage battery at time t+1; is the charging power of the energy storage battery at time t; is the discharge power of the energy storage battery at time t; σ is the self-consumption coefficient of the energy storage battery; η s is the charging efficiency of the energy storage battery; η r is the discharge efficiency of the energy storage battery; S max is the maximum storage capacity of the energy storage battery; S min is the minimum storage capacity of the energy storage battery; S start is the storage capacity of the energy storage battery at the beginning of the optimization cycle; S end It is the storage capacity of the energy storage battery at the end of the optimization cycle. t and S t+1 , Charging power and discharge power is the variable value, self-loss coefficient σ, charging efficiency η s 、Discharge efficiency η r , Maximum storage capacity S max , minimum storage capacity S min , the storage capacity S of the energy storage battery at the beginning of the optimization cycle start And the storage capacity S of the energy storage battery at the end of the optimization cycle end is a known parameter that is determined.

[0064] The operating constraints of the energy storage battery considering power demand response are:

[0065]

[0066] In the formula, is the power demand response synchronous reserve capacity reserved by the energy storage battery S at time t; is the power demand response and frequency regulation reserve capacity reserved by the energy storage battery S at time t; It is a 0-1 variable. When the energy storage battery S is charged, the value is 1, otherwise it is 0; It is also a 0-1 variable. When the energy storage battery S is discharged, the value is 1, otherwise it is 0; is the maximum charging power of the energy storage battery S; is the maximum discharge power of the energy storage battery S. Power demand response synchronous backup capacity Power demand response frequency regulation reserve capacity 0-1 variables and is a variable value, the maximum charging power and maximum discharge power are known parameters that have been determined.

[0067] The constraints of the power demand response of the energy storage battery are:

[0068]

[0069]

[0070] Then, an optimized operation model is built based on the equipment model.

[0071] On the basis of obtaining the above-mentioned production equipment model, conversion equipment model and storage equipment model, an optimization operation model is constructed based on these equipment models.

[0072] The goal of optimizing the operation of the user-side integrated energy system considering power demand response is to minimize the sum of the external energy acquisition cost and the demand response cost. The optimization operation model is as follows:

[0073]

[0074]

[0075] In the formula, is the cost of system operation at time t; is the cost of the system participating in the power demand response at time t; T is the step time of the optimization operation simulation; is the power of electric energy input from the power grid to the user-side integrated energy system at time t; F t is the rate at which the external natural gas system inputs natural gas to the user-side integrated energy system at time t; is the rate at which the external hot steam network inputs hot steam to the user-side integrated energy system at time t; is the unit cost of the electric energy input from the power grid to the user-side integrated energy system at time t;gas is the unit cost of natural gas input from the external natural gas system to the user-side integrated energy system; steam It is the unit cost of the external hot steam network inputting hot steam to the user-side integrated energy system; SR t It is the power demand response synchronization reserve capacity reserved by all devices in the user-side integrated energy system at time t; RR t It is the power demand response and frequency regulation reserve capacity reserved by all devices in the user-side integrated energy system at time t; It is the unit cost of the user-side integrated energy system providing the power grid with synchronous reserve capacity for power demand response at time t; It is the unit cost of the user-side integrated energy system providing the power grid with power demand response and frequency regulation reserve capacity at time t.

[0076] The cost of running the system The cost of system participation in electricity demand response Input power The rate of natural gas input F t , the rate of hot steam input Reserved demand response synchronous reserve capacity SR t and reserved power demand response frequency reserve capacity RR t is the variable value, step time T, unit cost of input electrical energy Unit cost of natural gas inputξ gas , Unit cost of input hot steamξ steam , Unit cost of synchronous reserve capacity for power demand response and the unit cost of demand response and frequency regulation reserve capacity are known parameters that have been determined.

[0077] Based on the above optimization operation objectives, the model constraints include not only the equipment operation constraints in steps 1, 2, and 3, but also the system energy balance constraints:

[0078]

[0079] In the formula, is the power generation of the photovoltaic device of the user-side integrated energy system at time t; L t is the electric energy load of the user-side integrated energy system at time t; is the thermal steam load of the integrated energy system on the user side at time t; is the hot water load of the integrated energy system on the user side at time t; It is the cooling energy load of the user-side integrated energy system at time t.

[0080] Photovoltaic power generation Power load Lt , hot steam load Hot water load and cooling energy load are known parameters that have been determined.

[0081] S2. Solve the optimization operation model.

[0082] Based on the required control objectives, the above-mentioned optimization operation model is solved to obtain the optimized operation mode of the user-side integrated energy system.

[0083] It can be seen from the above technical solution that this embodiment provides an operation optimization method for the user-side integrated energy system, specifically, constructing an optimized operation model of the user-side integrated energy system that takes into account the power demand response; solving the optimized operation model to obtain the optimized operation mode of the user-side integrated energy system. Through this optimized operation mode, the corresponding power generation equipment can respond sensitively to the power demand of the power grid, improve the flexibility of the power grid, and improve the optimization effect of the user-side integrated energy system through the above measures.

[0084] The following content is a simulation of optimizing the operation of a user-side integrated energy system using the present invention. The topology of the system is as follows: Figure 2 The system optimization operation cycle is set to one day, that is, 24 hours, and the step time of the optimization operation simulation is 15 minutes. The known parameters are shown in Tables 1 and 2.

[0085] Table 1 Equipment parameters Table 1

[0086]

[0087] Table 2 Equipment parameters Table 2

[0088]

[0089] After establishing the device model of the user-side integrated energy system considering power demand response and the user-side integrated energy system optimization operation model considering power demand response in this embodiment according to the present invention, CPLEX is used to solve and obtain the optimized operation status of each device.

[0090] Figure 3 It is the operating condition of the gas turbine. Figure 4 This is the operating status of the energy storage battery. It can be seen from the figure that the energy storage battery provides power demand response and frequency regulation backup for the power system. Figure 5It is the operation status of the refrigeration and air conditioning. It can be seen from the figure that the refrigeration and air conditioning provides the power system with power demand response frequency modulation standby and power demand response synchronization standby. Therefore, the present invention can optimize the equipment running the user-side integrated energy system and actively implement demand response behavior for the power grid. According to the needs of power grid dispatching, the power demand of the user-side integrated energy system is flexibly adjusted to provide standby for the power grid, thereby enhancing the flexibility and reliability of the power grid.

[0091] Embodiment 2

[0092] Figure 6 This is a block diagram of an operation optimization device for a user-side integrated energy system according to an embodiment of the present application.

[0093] like Figure 6 As shown, this embodiment provides an operation optimization device, which is applied to a user-side integrated energy system of a power grid, and specifically includes a model building module 10 and a model solving module 20.

[0094] The model building module is used to build an optimized operation model of the user-side integrated energy system.

[0095] Specifically, an optimization operation model of the user-side integrated energy system considering the power demand response is constructed. The model construction module specifically includes a first construction unit and a second construction unit.

[0096] The first construction unit is used to construct the device model of the user-side energy system considering the power demand response. The device models here are the production device model, the conversion device model and the storage device model. The specific construction process is as follows:

[0097] Step 1: Construct an energy production equipment model of the user-side integrated energy system considering power demand response.

[0098] Among the energy production equipment in the user-side integrated energy system, the gas turbine needs to establish an operation model that takes into account the power demand response. The input of the gas turbine is natural gas, and the output is electricity and heat. Its operation formula is:

[0099]

[0100] Where, t is the time period number; G is the gas turbine number; is the power generated by the gas turbine G at time t; is the heat production power of the gas turbine G at time t; is the natural gas consumption rate of the gas turbine G at time t; Indicates power generation efficiency; represents the heat generation efficiency; gas is the calorific value of natural gas. Heat generation power and natural gas consumption rate is the variable value, power generation efficiency Heat generation efficiency and natural gas calorific value λ gas is a known parameter that is determined.

[0101] The operating constraints of the gas turbine considering power demand response are:

[0102]

[0103] In the formula, is the power demand response synchronization reserve capacity reserved by the gas turbine G at time t; is the power demand response and frequency regulation reserve capacity reserved by the gas turbine G at time t; is the maximum power generation capacity of gas turbine G; is the minimum power generation capacity of gas turbine G; is the maximum heat production power of gas turbine G; is the minimum heat production power of the gas turbine G. [Power demand response synchronous reserve capacity and power demand response frequency regulation reserve capacity is the variable value, the maximum power generation Minimum power generation Maximum heat generation power and minimum heat generation power is a known parameter that is determined.

[0104] The ramping constraint of the gas turbine is:

[0105]

[0106] In the formula, is the power generation of gas turbine G at time t-1; is the maximum climbing power of gas turbine G; is the maximum downhill power of the gas turbine G. and maximum down-climbing power is a known parameter that is determined.

[0107] The constraints for the gas turbine power demand response are:

[0108]

[0109]

[0110] Where D SR is the dispatch period of the synchronous reserve capacity in response to power demand; D SSis the dispatch period of the power demand response frequency regulation reserve capacity. SR and the dispatch period D of the power demand response frequency regulation reserve capacity SS are known parameters that have been determined.

[0111] Step 2: Construct an energy conversion equipment model of the user-side integrated energy system considering power demand response.

[0112] Among the energy conversion equipment in the user-side integrated energy system, refrigeration and air conditioning are the ones that need to establish an operation model that takes into account the power demand response. The input of refrigeration and air conditioning is electrical energy, and the output is cold energy. Its operation formula is:

[0113]

[0114] In the formula, C is the refrigeration air conditioning number; is the power consumption of the refrigeration air conditioner C at time t; is the cooling power of the air conditioner C at time t; I C Indicates cooling efficiency. and cooling power is the variable value, cooling efficiency I C is a known parameter that is determined.

[0115] The operating constraints of refrigeration and air conditioning considering power demand response are:

[0116]

[0117] In the formula, is the power demand response synchronization reserve capacity reserved by the refrigeration air conditioner C at time t; is the power demand response frequency regulation reserve capacity reserved by refrigeration air conditioner C at time t; is the maximum power consumption of refrigeration and air conditioning C. [Power demand response synchronous reserve capacity and power demand response frequency regulation reserve capacity is the variable value, the maximum power consumption is a known parameter that is determined.

[0118] The constraints of power demand response for refrigeration and air conditioning are:

[0119]

[0120]

[0121] Step 3: Construct a user-side integrated energy system energy storage device model that considers power demand response.

[0122] Among the energy storage devices in the user-side integrated energy system, the energy storage battery needs to establish an operation model that takes into account the power demand response. The input of the energy storage battery is electrical energy, and the output is also electrical energy. The operating formula of its charging and discharging process is:

[0123]

[0124] Where, S is the refrigeration air conditioner number; S t is the storage capacity of the energy storage battery at time t; S t+1 is the storage capacity of the energy storage battery at time t+1; is the charging power of the energy storage battery at time t; is the discharge power of the energy storage battery at time t; σ is the self-consumption coefficient of the energy storage battery; η s is the charging efficiency of the energy storage battery; η r is the discharge efficiency of the energy storage battery; S max is the maximum storage capacity of the energy storage battery; S min is the minimum storage capacity of the energy storage battery; S start is the storage capacity of the energy storage battery at the beginning of the optimization cycle; S end It is the storage capacity of the energy storage battery at the end of the optimization cycle. t and S t+1 , Charging power and discharge power is the variable value, self-loss coefficient σ, charging efficiency η s 、Discharge efficiency η r , Maximum storage capacity S max , minimum storage capacity S min , the storage capacity S of the energy storage battery at the beginning of the optimization cycle start And the storage capacity S of the energy storage battery at the end of the optimization cycle end is a known parameter that is determined.

[0125] The operating constraints of the energy storage battery considering power demand response are:

[0126]

[0127] In the formula, is the power demand response synchronous reserve capacity reserved by the energy storage battery S at time t; is the power demand response and frequency regulation reserve capacity reserved by the energy storage battery S at time t; It is a 0-1 variable. When the energy storage battery S is charged, the value is 1, otherwise it is 0; It is also a 0-1 variable. When the energy storage battery S is discharged, the value is 1, otherwise it is 0; is the maximum charging power of the energy storage battery S; is the maximum discharge power of the energy storage battery S. Power demand response synchronous backup capacity Power demand response frequency regulation reserve capacity 0-1 variables and is a variable value, the maximum charging power and maximum discharge power are known parameters that have been determined.

[0128] The constraints of the power demand response of the energy storage battery are:

[0129]

[0130]

[0131] Then, an optimized operation model is built based on the equipment model.

[0132] On the basis of obtaining the above-mentioned production equipment model, conversion equipment model and storage equipment model, an optimization operation model is constructed based on these equipment models.

[0133] The goal of optimizing the operation of the user-side integrated energy system considering power demand response is to minimize the sum of the external energy acquisition cost and the demand response cost. The optimization operation model is as follows:

[0134]

[0135]

[0136] In the formula, is the cost of system operation at time t; is the cost of the system participating in the power demand response at time t; T is the step time of the optimization operation simulation; is the power of electric energy input from the power grid to the user-side integrated energy system at time t; F t is the rate at which the external natural gas system inputs natural gas to the user-side integrated energy system at time t; is the rate at which the external hot steam network inputs hot steam to the user-side integrated energy system at time t; is the unit cost of the electric energy input from the power grid to the user-side integrated energy system at time t; gas is the unit cost of natural gas input from the external natural gas system to the user-side integrated energy system; steam It is the unit cost of the external hot steam network inputting hot steam to the user-side integrated energy system; SR t It is the power demand response synchronization reserve capacity reserved by all devices in the user-side integrated energy system at time t; RR t It is the power demand response and frequency regulation reserve capacity reserved by all devices in the user-side integrated energy system at time t; It is the unit cost of the user-side integrated energy system providing the power grid with synchronous reserve capacity for power demand response at time t; It is the unit cost of the user-side integrated energy system providing the power grid with power demand response and frequency regulation reserve capacity at time t.

[0137] The cost of running the system The cost of system participation in electricity demand response Input power The rate of natural gas input F t , the rate of hot steam input Reserved demand response synchronous reserve capacity SR t and reserved power demand response frequency reserve capacity RR t is the variable value, step time T, unit cost of input electrical energy Unit cost of natural gas inputξ gas , Unit cost of input hot steamξ steam , Unit cost of synchronous reserve capacity for power demand response and the unit cost of demand response and frequency regulation reserve capacity are known parameters that have been determined.

[0138] Based on the above optimization operation objectives, the model constraints include not only the equipment operation constraints in steps 1, 2, and 3, but also the system energy balance constraints:

[0139]

[0140] In the formula, is the power generation of the photovoltaic device of the user-side integrated energy system at time t; L t is the electric energy load of the user-side integrated energy system at time t; is the thermal steam load of the integrated energy system on the user side at time t; is the hot water load of the integrated energy system on the user side at time t; It is the cooling energy load of the user-side integrated energy system at time t.

[0141] Photovoltaic power generation Power load L t , hot steam load Hot water load and cooling energy load are known parameters that have been determined.

[0142] The model solving module is used to solve the optimization operation model.

[0143] Based on the required control objectives, the above-mentioned optimization operation model is solved to obtain the optimized operation mode of the user-side integrated energy system.

[0144] It can be seen from the above technical solution that this embodiment provides an operation optimization device for the user-side integrated energy system, specifically, constructing an optimized operation model of the user-side integrated energy system that takes into account the power demand response; solving the optimized operation model to obtain the optimized operation mode of the user-side integrated energy system. Through this optimized operation mode, the corresponding power generation equipment can respond sensitively to the power demand of the power grid, improving the flexibility of the power grid, and the above measures improve the optimization effect of the user-side integrated energy system.

[0145] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0146] It will be appreciated by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0147] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks 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 terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal 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.

[0148] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including 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.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement 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.

[0150] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0151] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal 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, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0152] The technical solution provided by the present invention is introduced in detail above. Specific examples are used in this article to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for optimizing the operation of a user-side integrated energy system, characterized in that: The operation optimization method comprises the steps of: Construct an optimal operation model of the user-side integrated energy system considering power demand response; Solving the optimization operation model to obtain the optimization operation mode of the user-side integrated energy system; The construction of an optimized operation model of a user-side integrated energy system considering power demand response comprises the following steps: Construct a device model of user-side integrated energy system energy considering power demand response; Building the optimization operation model based on the equipment model; The equipment model includes a production equipment model, a conversion equipment model and a storage equipment model; Among the energy production equipment in the user-side integrated energy system, the gas turbine is the one that establishes an operation model that takes into account the power demand response, and its operation formula is: Where, t is the time period number; G is the gas turbine number; is the power generated by the gas turbine G at time t; is the heat production power of the gas turbine G at time t; is the natural gas consumption rate of the gas turbine G at time t; Indicates power generation efficiency; represents the heat generation efficiency; gas is the calorific value of natural gas; The operating constraints of the gas turbine considering power demand response are: In the formula, is the power demand response synchronization reserve capacity reserved by the gas turbine G at time t; is the power demand response and frequency regulation reserve capacity reserved by the gas turbine G at time t; is the maximum power generation capacity of gas turbine G; is the minimum power generation capacity of gas turbine G; is the maximum heat production power of gas turbine G; is the minimum heat production power of the gas turbine G; The ramping constraint of the gas turbine is: In the formula, is the power generation of gas turbine G at time t-1; is the maximum climbing power of gas turbine G; is the maximum down-climb power of the gas turbine G; The constraints for the gas turbine power demand response are: Where D SR is the dispatch period of the synchronous reserve capacity in response to power demand; D RR It is the dispatch period of the power demand response frequency regulation reserve capacity.

2. An operation optimization device for a user-side integrated energy system, characterized in that: The operation optimization device comprises: A model building module is configured to build an optimal operation model of a user-side integrated energy system considering power demand response; A model solving model is configured to solve the optimization operation model to obtain an optimized operation mode of the user-side integrated energy system; Wherein, the model building module includes: A first construction unit is configured to construct a device model of energy of a user-side integrated energy system considering power demand response; A second construction unit is configured to construct the optimization operation model based on the device model; Wherein, the equipment model includes a production equipment model, a conversion equipment model and a storage equipment model; Among the energy production equipment in the user-side integrated energy system, the gas turbine is the one that establishes an operation model that takes into account the power demand response, and its operation formula is: Where, t is the time period number; G is the gas turbine number; is the power generated by the gas turbine G at time t; is the heat production power of the gas turbine G at time t; is the natural gas consumption rate of the gas turbine G at time t; Indicates power generation efficiency; represents the heat generation efficiency; gas is the calorific value of natural gas; The operating constraints of the gas turbine considering power demand response are: In the formula, is the power demand response synchronization reserve capacity reserved by the gas turbine G at time t; is the power demand response and frequency regulation reserve capacity reserved by the gas turbine G at time t; is the maximum power generation capacity of gas turbine G; is the minimum power generation capacity of gas turbine G; is the maximum heat production power of gas turbine G; is the minimum heat production power of the gas turbine G; The ramping constraint of the gas turbine is: In the formula, is the power generation of gas turbine G at time t-1; is the maximum climbing power of gas turbine G; is the maximum down-climb power of the gas turbine G; The constraints for the gas turbine power demand response are: Where D SR is the dispatch period of the synchronous reserve capacity in response to power demand; D RR It is the dispatch period of the power demand response frequency regulation reserve capacity.

Images