New energy power generation and energy storage cooperative control method and device

Abstract

The invention relates to the technical field of power grid stable operation control, and particularly provides a new energy power generation and energy storage cooperative control method and device, and the method comprises the steps: solving a pre-constructed new energy power grid and energy storage cooperative control model, and obtaining an optimization result; and obtaining a new energy power grid and energy storage cooperative control scheme based on the optimization result, and performing new energy power generation and energy storage cooperative control by using the new energy power grid and energy storage cooperative control scheme. Wherein the energy constraint of an energy storage system is introduced into the pre-constructed new energy power grid and energy storage cooperative control model, and the optimization result comprises at least one of the following: the output power of a thermal power generating unit, the output power of a wind turbine generator, the output power of a photovoltaic generator set and the charging and discharging power of the energy storage system. According to the scheme, the phenomena of uneconomical and unstable operation of the power grid caused by wind and light output fluctuation are improved, and then the power impact and power angle stability risk brought by renewable energy to the power grid at the sending end are reduced.

Description

Technical Field

[0001] This invention relates to the field of power grid stable operation control technology, specifically to a method and device for coordinated control of new energy power generation and energy storage. Background Technology

[0002] Against the backdrop of building a clean and low-carbon power system, the installed capacity of renewable energy continues to increase. To address the challenges to the power angle stability of the new energy transmission system caused by large-scale renewable energy grid connection, and to ensure the safe and reliable operation of the AC / DC hybrid transmission network, the introduction of electrochemical energy storage systems (ESS) with active and reactive power transfer and power support functions has become an effective means to improve the voltage stability limit of the renewable energy transmission grid and enhance the grid's transmission capacity.

[0003] Based on this, engineers proposed addressing the technical challenges posed by the large-scale penetration of renewable energy into the power grid by configuring electrochemical energy storage systems (ESS) within the grid. Electrochemical ESS features rapid power control and bidirectional control capabilities. Engineers can optimize the scheduling of these systems in conjunction with renewable energy grids to promote the absorption of renewable energy generation, contribute to grid carbon reduction, and resolve the power angle stability issue in the sending-end grid.

[0004] However, there is still no good collaborative control strategy for how to achieve a balance between economy and environment from the grid side dispatching, on the basis of complementary and coordinated control of grid and energy storage, while simultaneously satisfying the power angle stability of the system and promoting the participation of wind, solar and energy storage in grid dispatching. Summary of the Invention

[0005] To overcome the above-mentioned shortcomings, this invention proposes a method and device for coordinated control of new energy power generation and energy storage.

[0006] Firstly, a method for coordinated control of new energy power generation and energy storage is provided, the method comprising:

[0007] Solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results;

[0008] Based on the optimization results, a collaborative control scheme for new energy power grid and energy storage is obtained, and the collaborative control scheme for new energy power generation and energy storage is used for collaborative control.

[0009] The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

[0010] Preferably, the pre-built collaborative control model for new energy power grid and energy storage includes:

[0011] The objectives are: a first objective function aimed at minimizing overall cost; a second objective function aimed at maximizing energy utilization; a third objective function aimed at minimizing carbon emissions; energy constraints and conventional constraints of the energy storage system.

[0012] Furthermore, the first objective function is as follows:

[0013]

[0014] In the above formula, T is the scheduling period, and P is the period of time. G,t Let a be the output power of the thermal power unit during time period t. G ,b G ,c G These are the fuel cost coefficients for thermal power units, c ESS For the unit power operation and maintenance cost of ESS, c wt ,c pv Let F1 and F2 be the operation and maintenance coefficients for wind power and solar power, respectively, where F1 is the value of the first objective function, f1 is the operating cost of traditional units, f2 is the operation and maintenance cost of wind, solar and energy storage, and P is the value of the operation and maintenance coefficients for wind power and solar power. WT,t P represents the output power of the wind turbine during time period t. PV,t P represents the output power of the photovoltaic generator set during time period t. ESS,t The charging and discharging power of the energy storage system during time period t is given.

[0015] Furthermore, the second objective function is as follows:

[0016]

[0017] In the above formula, F2 is the value of the second objective function, and P L,t and P R,t These represent the load demand of the power grid and the demand of the receiving-end power grid during time period t, respectively.

[0018] Furthermore, the third objective function is as follows:

[0019]

[0020] In the above formula, F3 is the value of the third objective function, and α G ,β G ,γ G These are the primary coefficient, secondary coefficient, and constant coefficient for pollutant emissions from thermal power units, respectively.

[0021] Furthermore, the energy constraints of the energy storage system are as follows:

[0022] -P dis,max ≤P ESS,t ≤P ch,max

[0023]

[0024] In the above formula, P dis,max P is the maximum discharge power of the energy storage system. ch,max P is the maximum charging power of the energy storage system. ESS,t+1 E represents the charging and discharging power of the energy storage system during time period t+1. t and E t+1 α represents the amount of electricity generated by the energy storage system during time period t and time period t+1, respectively. ESS η is the self-loss rate of the energy storage system equipment. ch ,η dis E represents the charging and discharging efficiency of the energy storage system. max This represents the maximum capacity of the energy storage system.

[0025] Furthermore, the general constraints are as follows:

[0026]

[0027] P G,min ≤P G,t ≤P G,max

[0028]

[0029] 0≤P WT,t ≤P WT,max

[0030] 0≤P PV,t ≤P PV,max

[0031] In the above formula, U i,t and U j,t P represents the voltages at nodes i and j of the sending-end power grid at time t. i,t and Q i,t G represents the active and reactive power of the sending-end grid node i at time t. ij B ij and θ ij P represents the conductance, susceptance, and phase difference angle between nodes i and j, respectively. G,min ,P G,max These represent the minimum and maximum output power of the thermal power unit, P. G,t-1 P represents the output power of the thermal power unit during time period t-1. G,U and P i,D These represent the upper and lower limits of the ramping power of thermal power units, P WT,max P is the maximum permissible output power of the wind turbine. PV,max This represents the maximum permissible output power of photovoltaic power generation.

[0032] Secondly, a new energy power generation and energy storage coordinated control device is provided, the new energy power generation and energy storage coordinated control device comprising:

[0033] The analysis module is used to solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results;

[0034] The control module is used to obtain a coordinated control scheme for new energy power grid and energy storage based on the optimization results, and to use the coordinated control scheme for new energy power generation and energy storage to perform coordinated control of new energy power generation and energy storage.

[0035] The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

[0036] Thirdly, a computer device is provided, comprising: one or more processors;

[0037] The processor is used to execute one or more programs;

[0038] When the one or more programs are executed by the one or more processors, the new energy power generation and energy storage coordinated control method is implemented.

[0039] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the aforementioned new energy power generation and energy storage coordinated control method is implemented.

[0040] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects:

[0041] This invention provides a method and apparatus for coordinated control of new energy power generation and energy storage, comprising: solving a pre-constructed coordinated control model of new energy power grid and energy storage to obtain optimization results; obtaining a coordinated control scheme of new energy power grid and energy storage based on the optimization results, and using the coordinated control scheme of new energy power grid and energy storage for coordinated control of new energy power generation and energy storage; wherein, the pre-constructed coordinated control model of new energy power grid and energy storage incorporates energy constraints of the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system. The technical solution provided by this invention can utilize electrochemical energy storage systems to alleviate the power angle stability problem of the power grid, reduce the phenomenon of renewable energy curtailment, improve the uneconomical and unstable operation of the power grid caused by fluctuations in wind and solar power output, and thus reduce the power surge and power angle stability risks brought by renewable energy to the sending-end power grid. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the main steps of the new energy power generation and energy storage coordinated control method according to an embodiment of the present invention;

[0043] Figure 2 This is a simplified diagram of the power grid at the new energy sending end according to an embodiment of the present invention;

[0044] Figure 3 This is a system structure diagram of an embodiment of the present invention.

[0045] Figure 4 This is a flowchart illustrating the solution process in an embodiment of the present invention. Detailed Implementation

[0046] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Example 1

[0049] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a new energy power generation and energy storage coordinated control method according to an embodiment of the present invention. Figure 1 As shown, the new energy power generation and energy storage coordinated control method in this embodiment of the invention mainly includes the following steps:

[0050] Step S101: Solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results;

[0051] Step S102: Based on the optimization results, a collaborative control scheme for new energy power grid and energy storage is obtained, and the collaborative control scheme for new energy power generation and energy storage is used to perform collaborative control of new energy power generation and energy storage.

[0052] The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

[0053] In this embodiment, a simplified diagram of the renewable energy transmission grid including wind power (WT), photovoltaic (PV), and ESS is shown below. Figure 2As shown.

[0054] The equivalent generator rotor motion equation of the system is shown below:

[0055]

[0056] In the formula: M1 and M2 are the moments of inertia of conventional thermal power units G1 and G2, respectively; P G1 and P G2 δ1 and δ2 represent the active power delivered by conventional generator sets G1 and G2, respectively; δ1 and δ2 represent the phase angles of the equivalent busbars on both sides of conventional generator sets G1 and G2, respectively; P WT and P PV These represent the active power generated by wind power and solar power, respectively; x 12 U1 is the reactance of the tie line; U2 and U1 are the voltages of the two busbars, respectively.

[0057] Subtracting the two equations above, we obtain the rotor motion equation characterized by the power angle difference between the two equivalent generators:

[0058]

[0059] In the formula; δ′ is the difference in equal work angles on both sides, P ESS This refers to the charging and discharging power of the energy storage system.

[0060] The equivalent mechanical power and electromagnetic power in the above formula can be expressed as:

[0061]

[0062] In the formula: P Teq P is the equivalent mechanical power; Eeq This is the equivalent electromagnetic power.

[0063] As can be seen from the above equation, the increased active power output of wind and solar power units increases the equivalent mechanical power, causing the sending-end units to accelerate faster and with a larger acceleration area, which is detrimental to the transient power angle stability of the system. Therefore, it is advisable to introduce electrochemical ESS (Electrochemical Power Supply) into the sending-end grid. ESS can not only absorb load power when wind and solar power output increases, but also provide power when wind and solar power output is insufficient, helping to reduce the amplitude of equivalent mechanical power fluctuations and improve the power angle stability of the sending-end grid.

[0064] In this embodiment, the pre-built collaborative control model for new energy power grid and energy storage includes:

[0065] The objectives are: a first objective function aimed at minimizing overall cost; a second objective function aimed at maximizing energy utilization; a third objective function aimed at minimizing carbon emissions; energy constraints and conventional constraints of the energy storage system.

[0066] In one implementation, the first objective function is as follows:

[0067]

[0068] In the above formula, T is the scheduling period, and P is the period of time. G,t Let a be the output power of the thermal power unit during time period t. G ,b G ,c G These are the fuel cost coefficients for thermal power units, c ESS For the unit power operation and maintenance cost of ESS, c wt ,c pv Let F1 and F2 be the operation and maintenance coefficients for wind power and solar power, respectively, where F1 is the value of the first objective function, f1 is the operating cost of traditional units, f2 is the operation and maintenance cost of wind, solar and energy storage, and P is the value of the operation and maintenance coefficients for wind power and solar power. WT,t P represents the output power of the wind turbine during time period t. PV,t P represents the output power of the photovoltaic generator set during time period t. ESS,t The charging and discharging power of the energy storage system during time period t is given.

[0069] In one implementation, the second objective function is as follows:

[0070]

[0071] In the above formula, F2 is the value of the second objective function, and P L,t and P R,t These represent the load demand of the power grid and the demand of the receiving-end power grid during time period t, respectively.

[0072] In one implementation, the third objective function is as follows:

[0073]

[0074] In the above formula, F3 is the value of the third objective function, and α G ,β G ,γ G These are the primary coefficient, secondary coefficient, and constant coefficient for pollutant emissions from thermal power units, respectively.

[0075] In one embodiment, the energy constraint of the energy storage system is as follows:

[0076] -P dis,max ≤P ESS,t ≤P ch,max

[0077]

[0078] In the above formula, P dis,max P is the maximum discharge power of the energy storage system. ch,max P is the maximum charging power of the energy storage system.ESS,t+1 E represents the charging and discharging power of the energy storage system during time period t+1. t and E t+1 α represents the amount of electricity generated by the energy storage system during time period t and time period t+1, respectively. ESS η is the self-loss rate of the energy storage system equipment. ch ,η dis E represents the charging and discharging efficiency of the energy storage system. max This represents the maximum capacity of the energy storage system.

[0079] In one implementation, the conventional constraints are as follows:

[0080]

[0081] P G,min ≤P G,t ≤P G,max

[0082]

[0083] 0≤P WT,t ≤P WT,max

[0084] 0≤P PV,t ≤P PV,max

[0085] In the above formula, U i,t and U j,t P represents the voltages at nodes i and j of the sending-end power grid at time t. i,t and Q i,t G represents the active and reactive power of the sending-end grid node i at time t. ij B ij and θ ij P represents the conductance, susceptance, and phase difference angle between nodes i and j, respectively. G,min ,P G,max These represent the minimum and maximum output power of the thermal power unit, P. G,t-1 P represents the output power of the thermal power unit during time period t-1. G,U and P i,D These represent the upper and lower limits of the ramping power of thermal power units, P WT,max P is the maximum permissible output power of the wind turbine. PV,max This represents the maximum permissible output power of photovoltaic power generation.

[0086] In this embodiment, the basic structure of the new energy transmission-end power grid system is as follows: Figure 3As shown, the system includes a thermal power output module, a wind power output module, a photovoltaic power output module, and an ESS (Energy Storage System) module. The load power demand is met by the discharge power of thermal power, wind power, photovoltaic power, and energy storage. While optimizing the multi-objective problem, a control strategy corresponding to renewable energy was designed, enabling the ESS device to control the grid-connected wind and photovoltaic power generation, thus stabilizing renewable energy output and reducing the impact of renewable energy output fluctuations.

[0087] In one embodiment, the present invention employs an improved grey wolf optimization (GWO) algorithm, introducing population chaos initialization and nonlinear convergence factor strategies to enhance the global search capability of GWO, specifically:

[0088] The GWO algorithm is a swarm intelligence algorithm that simulates the hierarchical structure and hunting behavior of gray wolves to solve optimization problems. The algorithm solves a pre-built collaborative control model of a new energy power grid and energy storage, classifying the wolves into four categories: alpha wolf, second-in-command, subordinates, and observers, mimicking a hierarchical structure in nature. Key steps of GWO include prey search, encirclement, and attack, converging to the optimal solution by adjusting the wolf positions. Specifically:

[0089] (1) Population Chaos Initialization

[0090] The initial population is improved using the Bernoulli chaotic mapping method to enhance the search performance of the Grey Wolf algorithm.

[0091] (2) Improvement of convergence factor and control parameters

[0092] In the mathematical model of the Grey Wolf algorithm, an exponential convergence factor is introduced as an update strategy to improve the control parameters. This strategy can better fit the actual nonlinear change process of the convergence factor.

[0093] (3) Improvement of the position update formula

[0094] To better develop the search capabilities of GWO, and to balance the different guiding effects of the best three wolves on the position updates of the remaining gray wolves, and to prevent premature stagnation in the local search, a linearly decreasing dynamic weight factor is first introduced, followed by an adaptive scaling factor.

[0095] Improved GWO solution process, such as Figure 4 As shown. The specific solution steps are as follows:

[0096] (1) Obtain system data and set improved GWO parameters: Input parameters of each unit of the new energy sending-end power grid, source, load and other related parameters, and set the gray wolf population size, maximum number of iterations, etc.

[0097] (2) Algorithm initialization: The position and velocity of the wolf pack are initialized according to the chaotic algorithm, and the leader wolf in the wolf pack is set as a reference for the optimal solution of the population.

[0098] (3) Fitness value evaluation and ranking: calculate the fitness of each individual, and rank the wolf pack individuals in a non-dominated order according to the fitness value to find the optimal solution.

[0099] (4) Wolf pack search and position update: Based on the current best solution and guidance strategy, update the current position and speed of each wolf according to the improved formula, and recalculate the objective function value of the new individual.

[0100] (5) Iteration Termination and Optimal Solution Selection: Repeat position updates and fitness evaluations until the maximum number of iterations or the convergence criterion is reached. Select the optimal compromise solution from the Pareto front using the entropy weight method to determine the final scheduling scheme.

[0101] Example 2

[0102] Based on the same inventive concept, the present invention also provides a new energy power generation and energy storage coordinated control device, the new energy power generation and energy storage coordinated control device comprising:

[0103] The analysis module is used to solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results;

[0104] The control module is used to obtain a coordinated control scheme for new energy power grid and energy storage based on the optimization results, and to use the coordinated control scheme for new energy power generation and energy storage to perform coordinated control of new energy power generation and energy storage.

[0105] The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

[0106] Preferably, the pre-built collaborative control model for new energy power grid and energy storage includes:

[0107] The objectives are: a first objective function aimed at minimizing overall cost; a second objective function aimed at maximizing energy utilization; a third objective function aimed at minimizing carbon emissions; energy constraints and conventional constraints of the energy storage system.

[0108] Furthermore, the first objective function is as follows:

[0109]

[0110] In the above formula, T is the scheduling period, and P is the period of time. G,t Let a be the output power of the thermal power unit during time period t.G ,b G ,c G These are the fuel cost coefficients for thermal power units, c ESS For the unit power operation and maintenance cost of ESS, c wt ,c pv Let F1 and F2 be the operation and maintenance coefficients for wind power and solar power, respectively, where F1 is the value of the first objective function, f1 is the operating cost of traditional units, f2 is the operation and maintenance cost of wind, solar and energy storage, and P is the value of the operation and maintenance coefficients for wind power and solar power. WT,t P represents the output power of the wind turbine during time period t. PV,t P represents the output power of the photovoltaic generator set during time period t. ESS,t The charging and discharging power of the energy storage system during time period t is given.

[0111] Furthermore, the second objective function is as follows:

[0112]

[0113] In the above formula, F2 is the value of the second objective function, and P L,t and P R,t These represent the load demand of the power grid and the demand of the receiving-end power grid during time period t, respectively.

[0114] Furthermore, the third objective function is as follows:

[0115]

[0116] In the above formula, F3 is the value of the third objective function, and α G ,β G ,γ G These are the primary coefficient, secondary coefficient, and constant coefficient for pollutant emissions from thermal power units, respectively.

[0117] Furthermore, the energy constraints of the energy storage system are as follows:

[0118] -P dis,max ≤P ESS,t ≤P ch,max

[0119]

[0120] In the above formula, P dis,max P is the maximum discharge power of the energy storage system. ch,max P is the maximum charging power of the energy storage system. ESS,t+1 E represents the charging and discharging power of the energy storage system during time period t+1. t and E t+1 α represents the amount of electricity generated by the energy storage system during time period t and time period t+1, respectively. ESS η is the self-loss rate of the energy storage system equipment. ch ,η disE represents the charge and discharge efficiency of the energy storage system. max This represents the maximum capacity of the energy storage system.

[0121] Furthermore, the general constraints are as follows:

[0122]

[0123] P G,min ≤P G,t ≤P G,max

[0124]

[0125] 0≤P WT,t ≤P WT,max

[0126] 0≤P PV,t ≤P PV,max

[0127] In the above formula, U i,t and U j,t P represents the voltages at nodes i and j of the sending-end power grid at time t. i,t and Q i,t G represents the active and reactive power of the sending-end grid node i at time t. ij B ij and θ ij P represents the conductance, susceptance, and phase difference angle between nodes i and j, respectively. G,min ,P G,max These represent the minimum and maximum output power of the thermal power unit, P. G,t-1 P represents the output power of the thermal power unit during time period t-1. G,U and P i,D These represent the upper and lower limits of the ramping power of thermal power units, P WT,max P is the maximum permissible output power of the wind turbine. PV,max This represents the maximum permissible output power of photovoltaic power generation.

[0128] Example 3

[0129] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve corresponding method flows or corresponding functions, thereby implementing the steps of the new energy power generation and energy storage coordinated control method in the above embodiments.

[0130] Example 4

[0131] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the new energy power generation and energy storage coordinated control method in the above embodiments.

[0132] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0133] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0134] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0135] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for coordinated control of new energy power generation and energy storage, characterized in that, The method includes: Solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results; Based on the optimization results, a collaborative control scheme for new energy power grid and energy storage is obtained, and the collaborative control scheme for new energy power generation and energy storage is used for collaborative control. The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

2. The method as described in claim 1, characterized in that, The pre-built collaborative control model for new energy power grid and energy storage includes: The objectives are: a first objective function aimed at minimizing overall cost; a second objective function aimed at maximizing energy utilization; a third objective function aimed at minimizing carbon emissions; energy constraints and conventional constraints of the energy storage system.

3. The method as described in claim 2, characterized in that, The first objective function is as follows: In the above formula, T is the scheduling period, and P is the period of time. G,t Let a be the output power of the thermal power unit during time period t. G ,b G ,c G These are the fuel cost coefficients for thermal power units, c ESS For the unit power operation and maintenance cost of ESS, c wt ,c pv Let F1 and F2 be the operation and maintenance coefficients for wind power and solar power, respectively, where F1 is the value of the first objective function, f1 is the operating cost of traditional units, f2 is the operation and maintenance cost of wind, solar and energy storage, and P is the value of the operation and maintenance coefficients for wind power and solar power. WT,t P represents the output power of the wind turbine during time period t. PV,t P represents the output power of the photovoltaic generator set during time period t. ESS,t The charging and discharging power of the energy storage system during time period t is given.

4. The method as described in claim 3, characterized in that, The second objective function is as follows: In the above formula, F2 is the value of the second objective function, and P L,t and P R,t These represent the load demand of the power grid and the demand of the receiving-end power grid during time period t, respectively.

5. The method as described in claim 4, characterized in that, The third objective function is as follows: In the above formula, F3 is the value of the third objective function, and α G ,β G ,γ G These are the primary coefficient, secondary coefficient, and constant coefficient for pollutant emissions from thermal power units, respectively.

6. The method as described in claim 5, characterized in that, The energy constraints of the energy storage system are as follows: -P dis,max ≤P ESS,t ≤P ch,max In the above formula, P dis,max P is the maximum discharge power of the energy storage system. ch,max P is the maximum charging power of the energy storage system. ESS,t+1 E represents the charging and discharging power of the energy storage system during time period t+1. t and E t+1 α represents the amount of electricity generated by the energy storage system during time period t and time period t+1, respectively. ESS η is the self-loss rate of the energy storage system equipment. ch ,η dis E represents the charge and discharge efficiency of the energy storage system. max This represents the maximum capacity of the energy storage system.

7. The method as described in claim 6, characterized in that, The general constraints are as follows: P G,min ≤P G,t ≤P G,max 0≤P WT,t ≤P WT,max 0≤P PV,t ≤P PV,max In the above formula, U i,t and U j,t P represents the voltages at nodes i and j of the sending-end power grid at time t. i,t and Q i,t G represents the active and reactive power of the sending-end grid node i at time t. ij B ij and θ ij P represents the conductance, susceptance, and phase difference angle between nodes i and j, respectively. G,min ,P G,max These represent the minimum and maximum output power of the thermal power unit, P. G,t-1 P represents the output power of the thermal power unit during time period t-1. G,U and P i,D These represent the upper and lower limits of the ramping power of thermal power units, P WT,max P is the maximum permissible output power of the wind turbine. PV,max This represents the maximum permissible output power of photovoltaic power generation.

8. An apparatus based on the new energy power generation and energy storage coordinated control method according to any one of claims 1-7, characterized in that, The device includes: The analysis module is used to solve the pre-built collaborative control model of new energy power grid and energy storage to obtain the optimization results; The control module is used to obtain a coordinated control scheme for new energy power grid and energy storage based on the optimization results, and to use the coordinated control scheme for new energy power generation and energy storage to perform coordinated control of new energy power generation and energy storage. The pre-constructed new energy power grid and energy storage collaborative control model introduces energy constraints for the energy storage system, and the optimization results include at least one of the following: the output power of thermal power units, the output power of wind power units, the output power of photovoltaic power units, and the charging and discharging power of the energy storage system.

9. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the new energy power generation and energy storage coordinated control method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the new energy power generation and energy storage coordinated control method as described in any one of claims 1 to 7.

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