Coordination control method and device for secondary frequency modulation of power grid and storage medium

Abstract

The embodiment of the invention discloses a coordination control method and device for secondary frequency modulation of a power grid and a storage medium. The method comprises the following steps: acquiring operation state information of the power grid; according to the operation state information of the power grid, an active power distribution optimization model considering participation of wind and light storage in secondary frequency modulation of the power grid is used to calculate an active power distribution coefficient of each frequency modulation unit; calculating the adjusting power of each frequency modulation unit according to the power grid frequency difference and the active power distribution coefficient; and correspondingly controlling the power of each frequency modulation unit according to the regulation power of each frequency modulation unit, and considering the coordination control optimization of the wind and light storage participating in the secondary frequency modulation of the power grid, so that the frequency modulation cost can be reduced.

Description

Technical Field

[0001] This invention relates to the field of power technology, and in particular to a coordinated control method, device and storage medium for secondary frequency regulation of power grid. Background Technology

[0002] With the "dual carbon" target being incorporated into the overall layout of my country's ecological civilization construction, my country is accelerating its transformation towards a new type of power system dominated by new energy sources. The frequency response characteristics of new energy sources, represented by wind power, are different from those of traditional thermal power units.

[0003] Secondary frequency regulation in power systems is achieved through frequency regulators on generator units. Essentially, the frequency regulators shift the frequency characteristic curves of the generator units, altering their active power output until it balances with the system load, thus achieving a stable state. In a power system, units equipped with frequency regulators and having reserve capacity can participate in secondary frequency regulation. Different frequency-regulating units can influence each other during frequency control, directly impacting the performance of power system frequency control. Therefore, coordinating different types of frequency-regulating units to provide frequency regulation services to the power system becomes a problem that needs to be solved. Summary of the Invention

[0004] The main objective of this invention is to provide a coordinated control method for secondary frequency regulation of the power grid, which reduces the frequency regulation cost by considering the coordinated control optimization method for wind, solar and energy storage participation in secondary frequency regulation of the power grid.

[0005] To achieve the above objectives, the first aspect of this application provides a coordinated control method for secondary frequency regulation of a power grid, the method comprising:

[0006] Obtain power grid operation status information;

[0007] Based on the power grid operation status information, the active power allocation coefficient of each frequency regulation unit is calculated using an active power allocation optimization model that considers wind, solar and energy storage participation in the secondary frequency regulation of the power grid.

[0008] The regulating power of each frequency regulating unit is calculated based on the grid frequency difference and the active power allocation coefficient; the power of each frequency regulating unit is controlled accordingly based on the regulating power of each frequency regulating unit.

[0009] Optionally, calculating the initial weight of each energy storage system based on the adjustable capacity of each energy storage system includes:

[0010] Calculate the ratio of the adjustable capacity of each energy storage system to the sum of the adjustable capacities of all energy storage systems to obtain the initial weight of each energy storage system.

[0011] Optionally, before calculating the initial weights of the respective energy storage systems based on their adjustable capacities, the method further includes:

[0012] The total regulation power of the energy storage system is calculated based on the frequency difference of the power grid frequency.

[0013] The step of correcting the initial weights of each energy storage system based on the state of charge of each energy storage system to obtain the corrected weights includes:

[0014] Based on the total regulating power of the energy storage system and the state of charge of each energy storage system, determine the state of charge correction coefficient of each energy storage system;

[0015] The initial weights of each energy storage system are corrected using the state-of-charge correction coefficient of each energy storage system, thereby obtaining the corrected weights.

[0016] Optionally, determining the state-of-charge correction coefficient for each energy storage system based on the total regulating power of the energy storage system and the state of charge of each energy storage system includes:

[0017] When the total regulating power is greater than 0:

[0018] If the energy storage system is in a charging state, the state of charge correction factor of the energy storage system is 1;

[0019] If the energy storage system is in the discharge state and the SOC is greater than the first percentage threshold, the state of charge correction factor of the energy storage system is 1.

[0020] If the energy storage system is in a discharge state and the SOC is less than or equal to the first percentage threshold, the state of charge correction factor of the energy storage system is 0.

[0021] Optionally, determining the state-of-charge correction coefficient for each energy storage system based on the total regulating power of the energy storage system and the state of charge of each energy storage system includes:

[0022] When the total regulating power is less than 0:

[0023] If the energy storage system is in a discharging state, the state of charge correction factor of the energy storage system is 1;

[0024] If the energy storage system is in a charging state and the SOC is less than or equal to the second percentage threshold, the state of charge correction factor of the energy storage system is 1.

[0025] If the energy storage system is in the charging state and the SOC is greater than the second percentage threshold, the state of charge correction factor of the energy storage system is 0.

[0026] Optionally, the step of calculating the target allocation weight of each energy storage system based on the corrected weight of each energy storage system includes:

[0027] The target allocation weight of each energy storage system is obtained by calculating the ratio of the corrected weight of each energy storage system to the sum of all the corrected weights.

[0028] Optionally, the method further includes:

[0029] The grid operation status information is collected periodically, including the grid frequency, the adjustable capacity of each energy storage system, and the state of charge of each energy storage system.

[0030] To achieve the above objectives, a second aspect of this application provides a coordinated control device for secondary frequency regulation of a power grid, comprising:

[0031] The acquisition module is used to acquire power grid operating status information;

[0032] The first calculation module is used to calculate the active power allocation coefficient of each frequency regulation unit based on the power grid operation status information and using an active power allocation optimization model that considers wind, solar and energy storage participation in the secondary frequency regulation of the power grid.

[0033] The second calculation module is used to calculate the regulation power of each frequency regulation unit based on the grid frequency difference and the active power allocation coefficient.

[0034] The control module is used to control the power of each frequency modulation unit according to the adjustment power of each frequency modulation unit.

[0035] A third aspect of this application provides an electronic device including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform steps as described in the first aspect and any possible implementation thereof.

[0036] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of the method described in the first aspect.

[0037] This application provides a coordinated control method for secondary frequency regulation of a power grid. The method involves acquiring power grid operating status information; calculating the active power allocation coefficient for each frequency regulating unit using an active power allocation optimization model that considers wind, solar, and energy storage participation in secondary frequency regulation based on the power grid operating status information; calculating the regulation power of each frequency regulating unit based on the power grid frequency difference and the active power allocation coefficient; and controlling the power of each frequency regulating unit according to its regulation power. Under the unified coordinated control of an automatic generation control system, wind, solar, and energy storage resources assist traditional thermal power units in participating in secondary frequency regulation of the power grid. Compared with the traditional active power allocation scheme based on adjustable capacity, the coordinated control optimization method considering wind, solar, and energy storage participation in secondary frequency regulation in this application can reduce frequency regulation costs. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] in:

[0040] Figure 1 A flowchart illustrating a coordinated control method for secondary frequency regulation of a power grid provided in an embodiment of this application;

[0041] Figure 2 A flowchart illustrating a coordinated control method for grid secondary frequency regulation considering wind, solar, and energy storage participation, provided in an embodiment of this application.

[0042] Figure 3 A schematic diagram of the structure of a coordinated control device for secondary frequency regulation of a power grid provided in an embodiment of this application;

[0043] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0044] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0045] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0046] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0047] The "wind, solar, and energy storage" mentioned in this application refers to a new energy system that integrates wind power, photovoltaics, and energy storage. In order to utilize wind energy, solar energy, and realize energy storage, power systems typically include not only commonly used thermal power units but also corresponding wind turbine units, photovoltaic units, and energy storage units.

[0048] The thermal power unit involved in the embodiments of this application is a thermal power generator unit that uses coal, oil or combustible gas as fuel to heat water in a boiler, thereby increasing its temperature, and then uses steam with a certain pressure to drive a gas turbine to generate electricity.

[0049] The embodiments of this application are described below with reference to the accompanying drawings.

[0050] Please see Figure 1 This is a flowchart illustrating a coordinated control method for secondary frequency regulation of a power grid provided in an embodiment of this application. Figure 1 As shown, the method includes:

[0051] 101. Obtain power grid operation status information;

[0052] 102. Based on the above power grid operation status information, the active power allocation coefficient of each frequency regulation unit is calculated using the active power allocation optimization model that considers the participation of wind, solar and energy storage in the secondary frequency regulation of the power grid.

[0053] 103. Calculate the regulating power of each frequency regulating unit based on the grid frequency difference and the active power distribution coefficient mentioned above; control the power of each frequency regulating unit accordingly based on the regulating power of each frequency regulating unit.

[0054] The execution subject of the method in this application embodiment is a coordination control device for secondary frequency regulation of the power grid. In specific implementation, it can be a power control system, such as an automatic generation control (AGC) system.

[0055] Automatic generation control is one of the main components of power system dispatch automation. It utilizes a closed-loop control system composed of dispatch monitoring computers, channels, remote terminals, execution (distribution) devices, and generator set automation devices to monitor and adjust the power system frequency in order to control generator output.

[0056] Automatic Generation Control (AGC) is a paid ancillary service provided by grid-connected power plants. Within a specified output adjustment range, generating units track instructions issued by the power dispatching and trading agency and adjust their output in real time according to a certain adjustment rate to meet the power system frequency and tie-line power control requirements. Alternatively, AGC performs secondary adjustments to the output of some generating units in the grid to meet control objectives. Its basic functions include: Load Frequency Control (LFC), Economic Dispatch Control (EDC), Reserve Capacity Monitoring (RM), AGC Performance Monitoring (AGC PM), and Tie-line Deviation Control (TBC), etc., to achieve its basic objectives: ensuring a balance between generation output and load, ensuring the system frequency is at its rated value, ensuring net tie-line power flow matches the plan, and minimizing regional operating costs.

[0057] In this embodiment of the application, an active power allocation optimization model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the power grid is constructed to calculate the active power allocation coefficient of each frequency regulation unit in the system for power control.

[0058] The system can collect real-time grid operating status information, including grid frequency and the adjustable capacity of frequency-regulating units. An optimization algorithm is used to calculate the active power allocation coefficient for each frequency-regulating unit. Then, based on the grid frequency difference and the active power allocation coefficient, the regulation power ΔP of each frequency-regulating unit can be calculated, and the AGC system adjusts the output of each unit in real time. The aforementioned grid frequency difference can be the difference between the real-time collected (measured) grid frequency and the grid standard frequency (50Hz).

[0059] In an optional implementation, prior to step 101, the method further includes:

[0060] Based on the automatic generation control architecture of wind, solar and energy storage participating in the secondary frequency regulation of the power grid, a model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the power grid is constructed.

[0061] Based on the grid control performance and control objectives, the coordinated control strategy of the above model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the grid is determined, and the active power allocation optimization model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the grid is constructed.

[0062] Specifically, we can first analyze the AGC architecture for wind, solar, and energy storage participation in grid secondary frequency regulation and construct a model that considers their participation. Then, based on grid control performance and control objectives, we can design a coordinated control strategy that considers wind, solar, and energy storage participation in grid secondary frequency regulation and construct an active power allocation optimization model that considers their participation in grid secondary frequency regulation.

[0063] The aforementioned frequency regulation units may include: thermal power units, photovoltaic units, wind power units, energy storage units, and other types of units may also be installed. This application embodiment does not limit this.

[0064] In one optional implementation, the above-mentioned active power allocation optimization model includes an objective function and constraints; wherein:

[0065] The objective function described above includes the frequency regulation cost of the power grid;

[0066] The above constraints include, but are not limited to, the output constraints of each frequency regulation unit, the system power flow balance constraints, the node voltage constraints, and the system frequency constraints.

[0067] The objective function is the performance standard of the system. In the embodiments of this application, the objective function can be designed based on the frequency regulation cost of the power grid, which can be understood as the minimum frequency regulation cost of the power grid.

[0068] Optionally, the frequency regulation cost of the aforementioned power grid is calculated based on the total number of frequency regulation units in the system, as well as the frequency regulation output cost, reserve capacity cost, unit price of frequency regulation output cost, and unit price of reserve capacity cost of each frequency regulation unit. The aforementioned constraints can be set according to various system indicator controls and unit parameter controls. For example, the aforementioned output constraints of each frequency regulation unit may include maximum and minimum output constraints, which are not limited in this embodiment.

[0069] The power flow involved in the above system power flow balance constraints is the steady-state distribution of voltage (at each node) and power (active and reactive) (at each branch) in the power system.

[0070] The following example uses a power grid system comprising thermal power units, photovoltaic power units, wind power units, and energy storage units to illustrate a method for calculating the objective function of an active power allocation optimization model:

[0071]

[0072] C gres,i =Cpergres,i P Gi

[0073]

[0074] C pvres,i =Cper pvres,i P pvi

[0075]

[0076] C wtres,i =Cper wtres,i P wti

[0077]

[0078] C esres,i =Cper esres,i P esi

[0079]

[0080] Where, N g N pv N wt,i N es C represents the total number of thermal power units, photovoltaic units, wind power units, and energy storage units in the system, respectively. g,i C pv,i C wt,i C es,i Let C represent the frequency regulation output costs of the i-th thermal power unit, photovoltaic power unit, wind power unit, and energy storage unit, respectively. gres,i C pvres,i C wtres,i C esres,i Let Cper represent the standby capacity cost of the i-th thermal power unit, photovoltaic unit, wind power unit, and energy storage unit, respectively; g,i Cper pv,i Cper wt,i Cper es,i Cper represents the frequency regulation output cost per unit of the i-th thermal power unit, photovoltaic power unit, wind power unit, and energy storage unit, respectively. gres,i Cper pvres,i Cper wtres,i Cper esres,i K represents the standby capacity cost per unit for the i-th thermal power unit, photovoltaic unit, wind power unit, and energy storage unit, respectively; Gi K pvi K wti K esiLet ΔP represent the active power allocation coefficients of the i-th thermal power unit, photovoltaic power unit, wind power unit, and energy storage unit, respectively; L This indicates the increased load; the constraints mainly include the output constraints of each frequency regulation unit, the system power flow balance constraints, the node voltage constraints, and the system frequency constraints.

[0081] The objective function described above is merely an example and can be adjusted according to system requirements and architecture in practical applications. This application does not impose any restrictions on this.

[0082] In one optional implementation, step 102 includes:

[0083] Using the particle swarm optimization algorithm, based on the above-mentioned power grid operation status information, the active power allocation coefficient of each frequency regulation unit is calculated using the above-mentioned active power allocation optimization model that considers wind, solar and energy storage participation in the power grid secondary frequency regulation.

[0084] The particle swarm optimization (PSO) algorithm mentioned in this embodiment is also known as the micro-swarm algorithm. In this embodiment, the PSO algorithm can be used to solve for the optimal active power allocation coefficients of each frequency regulation unit. The process of solving for the optimal allocation coefficients using the PSO algorithm will be described later.

[0085] Furthermore, the above-mentioned particle swarm optimization algorithm is used to calculate the active power allocation coefficients of each frequency regulating unit based on the aforementioned power grid operating status information and the active power allocation optimization model considering wind, solar, and energy storage participation in secondary frequency regulation of the power grid. This includes:

[0086] Initialize the particle swarm optimization algorithm and its parameters.

[0087] Calculate the fitness value corresponding to each particle, and update the individual optimal value of each particle to the current fitness value of the corresponding particle. The global optimal value of the above particle swarm is updated to the optimal value among the current fitness values ​​of all particles. The above fitness value is calculated using the above objective function of the above active power allocation optimization model.

[0088] Update the particle swarm velocity and position; calculate the updated fitness value for each particle; compare the new fitness value with the original individual optimal value and the aforementioned global optimal value; and update the aforementioned individual optimal value and the aforementioned global optimal value of the particle swarm.

[0089] The algorithm takes the current global optimum as the optimum value and outputs the optimum value and its corresponding optimization variable value.

[0090] The update steps described above can be performed iteratively until the iteration ends.

[0091] The specific solution process for the allocation coefficients using the particle swarm optimization algorithm described in this embodiment can be summarized as follows:

[0092] (1) Real-time collection of power grid operating status information, including power grid frequency and adjustable capacity of frequency-regulating units that can participate in frequency regulation, etc., to initialize the particle swarm optimization algorithm and its relevant parameters, including learning factors and weighting factors. Assigning random initial positions to each particle with the allocation coefficients of each frequency-regulating unit initializes the relevant parameters of the particle swarm optimization algorithm, including learning factors and weighting factors. The collected power grid frequency can be used to calculate the frequency difference, and the adjustable capacity of the frequency-regulating units that can participate in frequency regulation is a constraint condition for unit regulation.

[0093] (2) Calculate the fitness value (i.e. the objective function value) of each particle, and update the individual optimal value of each particle to the current fitness value of the corresponding particle, and update the global optimal value of the particle swarm to the optimal value among all current particle fitness values.

[0094] (3) Update the particle swarm velocity and position according to the following formula; calculate the fitness value of the updated particles, compare the new fitness value with the original individual optimal value and the global optimal value, and update the individual optimal value and the global optimal value.

[0095]

[0096]

[0097] in, This represents the velocity of the i-th particle in the k-th iteration; This represents the individual optimal solution for the i-th particle in the k-th iteration; This represents the global optimal solution for all particles in the swarm at the k-th iteration. ω represents the position of the i-th particle after the k-th iteration; d As a weighting factor, its magnitude determines the extent to which the current velocity is inherited; it is optional and typically takes a value between 0.1 and 0.9. ω d The larger the value, the stronger the global optimization ability; the smaller the value, the stronger the local optimization ability. 1,d c 2,d This is called the learning factor, and it can generally be taken as c. 1,d =c 2,d =2; ξ d η d The values ​​are pseudo-random numbers between (0,1); the position and velocity of the particles are both limited to a certain range.

[0098] (4) If the number of iterations has not reached the maximum number of iterations set, return to step (3) and continue to iterate and update the individual optimal value and the group optimal value; otherwise, end the iteration process and proceed to step (5).

[0099] (5) Using the current global optimum as the optimum value obtained by the algorithm, output the optimum value and its corresponding optimization variable value, and the algorithm ends. In the embodiments of this application, the above-mentioned optimum value is the lowest frequency regulation cost of the power grid, and the corresponding optimization variable value is the optimal active power allocation coefficient of each frequency regulation unit.

[0100] Based on the foregoing description, embodiments of this application also provide a coordinated control method considering the participation of wind, solar, and energy storage in grid secondary frequency regulation. See also... Figure 2 ,like Figure 2 As shown, the method includes:

[0101] 1. Analyze the AGC architecture for wind, solar and energy storage participation in the secondary frequency regulation of the power grid, and construct a model that considers the participation of wind, solar and energy storage in the secondary frequency regulation of the power grid;

[0102] 2. Based on the power grid control performance and control objectives, design a coordinated control strategy that considers the participation of wind, solar and energy storage in the power grid's secondary frequency regulation, and construct an active power allocation optimization model that considers the participation of wind, solar and energy storage in the power grid's secondary frequency regulation.

[0103] 3. By optimizing the algorithm, the optimal active power allocation coefficient of each frequency regulation unit is obtained;

[0104] 4. Calculate the regulating power of each frequency regulating unit based on the grid frequency difference and active power distribution coefficient, and adjust the output of each frequency regulating unit in real time using the AGC system.

[0105] In this embodiment, the present invention optimizes the active power allocation coefficient of frequency-regulating units based on the minimum frequency regulation cost, and proposes a coordinated control optimization method that considers the participation of wind, solar, and energy storage in the secondary frequency regulation of the power grid. Under the unified coordinated control of the AGC system, wind, solar, and energy storage resources assist traditional thermal power units in participating in the secondary frequency regulation of the power grid. Compared with the traditional active power allocation scheme based on adjustable capacity, the coordinated control optimization method that considers the participation of wind, solar, and energy storage in the secondary frequency regulation of the power grid can reduce the frequency regulation cost.

[0106] Based on the description of the above-described coordinated control method for secondary frequency regulation of power grid, this application also discloses a coordinated control device for secondary frequency regulation of power grid.

[0107] Please see Figure 3 The diagram shows a structural schematic of a coordinated control device for secondary frequency regulation of a power grid. The coordinated control device 300 for secondary frequency regulation of the power grid includes:

[0108] The acquisition module 310 is used to acquire power grid operating status information;

[0109] The first calculation module 320 is used to calculate the active power allocation coefficient of each frequency regulation unit based on the power grid operation status information and using an active power allocation optimization model that considers wind, solar and energy storage participation in the secondary frequency regulation of the power grid.

[0110] The second calculation module 330 is used to calculate the regulation power of each frequency regulation unit based on the grid frequency difference and the active power allocation coefficient.

[0111] The control module 340 is used to control the power of each frequency modulation unit according to the adjustment power of each frequency modulation unit.

[0112] Understandably, this involves Figure 3 The relevant content of each module in the above method embodiments has been described in detail, and you can refer to the content of the method embodiments for details; that is... Figure 3 The provided coordinated control device 300 for secondary frequency regulation of a power grid can perform, for example... Figure 1 or Figure 2 Any steps in the illustrated embodiments will not be described in detail here.

[0113] The grid secondary frequency regulation coordination control device 300 in this embodiment can acquire grid operating status information; based on the grid operating status information, it calculates the active power allocation coefficient of each frequency regulation unit using an active power allocation optimization model that considers wind, solar and energy storage participation in grid secondary frequency regulation; it calculates the regulation power of each frequency regulation unit based on the grid frequency difference and the active power allocation coefficient; and it controls the power of each frequency regulation unit according to the regulation power of each frequency regulation unit. Under the unified coordination and control of the automatic generation control system, wind, solar and energy storage resources assist traditional thermal power units in participating in grid secondary frequency regulation. Compared with the traditional active power allocation scheme based on adjustable capacity, the coordination control optimization method considering wind, solar and energy storage participation in grid secondary frequency regulation in this application can reduce frequency regulation costs.

[0114] In one embodiment of this application, an electronic device is also provided. See also... Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 400 includes a processor 401 and a memory 402. The memory 402 stores a computer program, which, when executed by the processor 401, will perform actions such as... Figure 1 or Figure 2 Any step in the method embodiment shown. The electronic device 400 may also include input / output devices, etc. In specific embodiments, the electronic device may be a server, terminal device, etc.

[0115] In one embodiment, a computer-readable storage medium is also provided, which stores a computer program that, when executed by a processor 401, causes the processor 401 to perform any of the steps in the above method embodiments.

[0116] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0117] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0118] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A coordinated control method for secondary frequency regulation of a power grid, characterized in that, The method includes: Obtain power grid operation status information; Based on the power grid operation status information, the active power allocation coefficient of each frequency regulation unit is calculated using an active power allocation optimization model that considers wind, solar and energy storage participation in the secondary frequency regulation of the power grid. The regulating power of each frequency regulating unit is calculated based on the grid frequency difference and the active power allocation coefficient; the power of each frequency regulating unit is controlled accordingly based on the regulating power of each frequency regulating unit.

2. The coordinated control method for secondary frequency regulation of the power grid according to claim 1, characterized in that, The active power allocation optimization model includes an objective function and constraints; wherein: The objective function includes the frequency regulation cost of the power grid; The constraints include, but are not limited to, the output constraints of each frequency-regulating unit, the system power flow balance constraints, the node voltage constraints, and the system frequency constraints.

3. The coordinated control method for secondary frequency regulation of the power grid according to claim 2, characterized in that, The power grid operating status information includes, but is not limited to: power grid frequency and the adjustable capacity of frequency regulating units participating in frequency regulation; The active power allocation coefficients of each frequency-regulating unit are calculated using an active power allocation optimization model that considers wind, solar, and energy storage participation in secondary frequency regulation of the power grid, based on the power grid operating status information. This includes: Using the particle swarm optimization algorithm, based on the power grid operating status information, the active power allocation coefficient of each frequency regulation unit is calculated using the active power allocation optimization model that considers wind, solar and energy storage participation in the power grid secondary frequency regulation.

4. The coordinated control method for secondary frequency regulation of the power grid according to claim 3, characterized in that, The process employs a particle swarm optimization algorithm to calculate the active power allocation coefficients for each frequency-regulating unit based on the grid operating status information and the active power allocation optimization model considering wind, solar, and energy storage participation in secondary frequency regulation. This includes: Initialize the particle swarm optimization algorithm and its parameters. Calculate the fitness value corresponding to each particle, and update the individual optimal value of each particle to the current fitness value of the corresponding particle. The global optimal value of the particle swarm is updated to the optimal value among the current fitness values ​​of all particles. The fitness value is calculated using the objective function of the active power allocation optimization model. Update the particle swarm velocity and position; calculate the fitness value corresponding to the updated particles, compare the new fitness value with the original individual optimal value and the global optimal value, and update the individual optimal value and the global optimal value of the particle swarm. The current global optimum is used as the optimum value obtained by the algorithm, and the optimum value and its corresponding optimization variable value are output.

5. The coordinated control method for secondary frequency regulation of the power grid according to claim 1, characterized in that, Before acquiring the power grid operating status information, the method further includes: Based on the automatic generation control architecture of wind, solar and energy storage participating in the secondary frequency regulation of the power grid, a model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the power grid is constructed. Based on the grid control performance and control objectives, the coordinated control strategy of the model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the grid is determined, and the active power allocation optimization model considering the participation of wind, solar and energy storage in the secondary frequency regulation of the grid is constructed.

6. The coordinated control method for secondary frequency regulation of the power grid according to claim 1, characterized in that, The frequency regulation units include: thermal power units, photovoltaic units, wind power units, and energy storage units.

7. The coordinated control method for secondary frequency regulation of the power grid according to claim 2, characterized in that, The frequency regulation cost of the power grid is calculated based on the total number of frequency regulation units in the system, as well as the frequency regulation output cost, reserve capacity cost, unit price of frequency regulation output cost, and unit price of reserve capacity cost of each frequency regulation unit.

8. A coordinated control device for secondary frequency regulation of a power grid, characterized in that, include: The acquisition module is used to acquire power grid operating status information; The first calculation module is used to calculate the active power allocation coefficient of each frequency regulation unit based on the power grid operation status information and using an active power allocation optimization model that considers wind, solar and energy storage participation in the secondary frequency regulation of the power grid. The second calculation module is used to calculate the regulation power of each frequency regulation unit based on the grid frequency difference and the active power allocation coefficient. The control module is used to control the power of each frequency modulation unit according to the adjustment power of each frequency modulation unit.

9. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, the processor performs the steps of the method as described in any one of claims 1-7.

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