Island micro-grid energy storage configuration method and device for wind and light storage and combustion bundling

Abstract

The invention provides an island micro-grid energy storage configuration method and device oriented to wind, light and fuel storage bundling, and the method comprises the steps: constructing an energy storage configuration constraint condition which is used for constraining the rated power and rated energy of configured energy storage equipment; the optimization problem is solved based on the constraint condition, an energy storage configuration result of the island microgrid is obtained, the energy storage configuration result comprises rated power and rated energy values of energy storage equipment, and a target function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result; wherein the island micro-grid comprises a plurality of energy management nodes, each energy management node corresponds to one turbine generator, and photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the island micro-grid are connected to alternating current grid-connected points of the turbine generators in the energy management nodes through converters. According to the method, the effect of reducing the energy storage configuration cost of the offshore island micro-grid can be achieved.

Description

Technical Field

[0001] The present invention relates to the field of microgrids, and in particular to an energy storage configuration method and device for an isolated microgrid in which wind, solar, storage and fuel are bundled. Background Art

[0002] Offshore microgrids have a wide range of application scenarios, typically encompassing artificial energy islands, natural islands, large ships, offshore ranches, and various offshore platforms. Most offshore microgrids are located far from land, making connecting them to the main onshore grid via submarine cables uneconomical. Therefore, they operate as isolated microgrids, requiring stable off-grid power supply. Traditional turbine generators have drawbacks such as high power supply costs and high carbon emissions. The introduction of renewable energy sources such as wind and photovoltaic power has become an important means of addressing the energy needs of offshore island microgrids. However, deep-sea wind and solar energy are subject to high volatility due to extreme weather and complex sea conditions, necessitating the integration of energy storage devices to respond to fluctuations in wind and photovoltaic power.

[0003] In existing technology, when planning and configuring energy storage devices in isolated microgrids, a fixed ratio configuration is often used. However, the operation of energy storage devices is limited by energy storage constraints and power operating limits. The greater the rated energy and power of the energy storage device, the stronger its regulation capability, but this also increases the investment cost of energy storage. The traditional fixed ratio energy storage configuration model is likely to result in redundant energy storage capacity and high investment costs. Summary of the Invention

[0004] The present invention provides an energy storage configuration method and device for an isolated island microgrid suitable for wind, solar, storage and fuel bundling, so as to solve the defect of high cost of using fixed ratio configuration energy storage equipment in the existing technology, and reduce the energy storage configuration cost of the isolated island microgrid.

[0005] The present invention provides an energy storage configuration method for an isolated microgrid bundled with wind, solar, storage and fuel. The isolated microgrid includes multiple energy management nodes, each of which corresponds to a turbine generator. The photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the isolated microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter. The method comprises: Constructing energy storage configuration constraints, wherein the constraints are used to constrain the rated power and rated energy of the configured energy storage device; The optimization problem is solved based on the constraints to obtain the energy storage configuration result of the isolated island microgrid. The energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage equipment. The objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result.

[0006] According to the present invention, a method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel bundling is provided, wherein the constraint conditions include a first constraint condition and a second constraint condition; The first constraint condition is used to constrain the rated power and rated energy of the configured energy storage device to not exceed the limit value; The second constraint condition is used to constrain the energy-to-power ratio of the configured energy storage device to be within a limited range.

[0007] According to a method for configuring energy storage in an island microgrid for wind, solar, storage and fuel-fired bundling provided by the present invention, the constraint conditions also include a third constraint condition, which is used to constrain the power deviation of the energy management node configured with energy storage to not exceed the allowable limit in the wind power and photovoltaic fluctuation test scenario.

[0008] According to the energy storage configuration method for an isolated microgrid with wind, solar, storage and fuel-fired bundling provided by the present invention, the third constraint condition is: ; in, is the root mean square error between the power of the energy management node and the target power setting value of the energy management node; is the output power of the energy management node at the i-th power measurement point in the response process; is the reference value of the target tracking power of the energy management node; n is the number of power measurement points; for The upper limit value of .

[0009] According to a method for configuring energy storage in an islanded microgrid for wind, solar, storage and fuel-fired bundling provided by the present invention, solving the objective function based on the constraint conditions includes: Solving the objective function under the constraints by using a particle swarm optimization algorithm; In the particle swarm optimization algorithm, the position of each particle corresponds to a set of values ​​of energy storage rated power and rated energy, and the fitness value of each particle is determined based on the objective function.

[0010] According to a method for configuring energy storage in an islanded microgrid for wind, solar, storage and fuel-fired bundling provided by the present invention, solving the objective function under the constraints using a particle swarm optimization algorithm includes: generating a penalty function based on the second constraint condition and the third constraint condition, rewriting the objective function based on the penalty function to obtain an augmented objective function, and using the augmented objective function as a fitness function in the particle swarm optimization algorithm; The particle position and velocity are updated based on the fitness function under the first constraint condition.

[0011] The present invention also provides an energy storage configuration device for an isolated microgrid for wind, solar, storage and fuel bundling. The isolated microgrid includes multiple energy management nodes, each of which corresponds to a turbine generator. The photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the isolated microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter. The device comprises: A constraint module, used to construct energy storage configuration constraint conditions, wherein the constraint conditions are used to constrain the rated power and rated energy of the configured energy storage device; A solution module is used to solve the optimization problem based on the constraint conditions to obtain an energy storage configuration result of the isolated island microgrid, wherein the energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage device, and the objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements any of the above-mentioned methods for configuring energy storage in an island microgrid for wind, solar, storage and fuel bundling.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements any of the above-mentioned methods for configuring energy storage in an island microgrid for wind, solar, storage and fuel bundling.

[0014] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel bundling.

[0015] The present invention provides an island microgrid energy storage configuration method and device for wind, solar, storage and fuel bundling. By bundling wind, solar, storage and fuel, the turbine generators in the hierarchical, photovoltaic, energy storage and crude oil energy management nodes of the island microgrid system are controlled as equivalent generators, thereby avoiding the update of the deep-sea island microgrid energy management system. At the same time, based on the setting of operating constraints of the energy storage equipment, the optimization problem with the energy storage configuration cost as the objective function is solved, thereby achieving the effect of reducing the energy storage configuration cost of the offshore island microgrid. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 It is a flow chart of the energy storage configuration method for isolated microgrids bundled with wind, solar, storage and fuel provided by the present invention.

[0018] Figure 2 This is a structural diagram of the energy management system of the isolated microgrid in the energy storage configuration method of the isolated microgrid for wind, solar, storage and fuel bundling provided by the present invention.

[0019] Figure 3 This is the architecture diagram of the isolated microgrid in the experimental example of the isolated microgrid energy storage configuration method for wind, solar, storage and fuel bundling provided by the present invention.

[0020] Figure 4 This is a diagram showing the experimental results of the isolated microgrid energy storage configuration method for wind, solar, storage and fuel-fired bundling provided by the present invention.

[0021] Figure 5 This is a structural schematic diagram of the isolated microgrid energy storage configuration device for wind, solar, storage and fuel bundling provided by the present invention.

[0022] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0024] The following combination Figure 1-4 The present invention describes the energy storage configuration method for isolated microgrids with wind, solar, storage and fuel bundling. Figure 1 As shown, the method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel bundling provided by the present invention includes the following steps: S110: Constructing energy storage configuration constraints, where the constraints are used to constrain the rated power and rated energy of the configured energy storage device; S120. Solve the objective function based on the constraint conditions to obtain the energy storage configuration result of the island microgrid. The energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage device. The objective function is determined based on the cost corresponding to the energy storage configuration result.

[0025] The method provided by the present invention is applied to an isolated island microgrid, wherein the isolated island microgrid includes multiple energy management nodes, each energy management node corresponds to a turbine generator, and the photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the isolated island microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter.

[0026] The present invention provides an island microgrid energy storage configuration method for wind, solar, storage and fuel bundling. By bundling wind, solar, storage and fuel, the turbine generators in the hierarchical, photovoltaic, energy storage and crude oil energy management nodes of the island microgrid system are controlled as equivalent generators, thereby avoiding the update of the deep-sea island microgrid energy management system. At the same time, based on the setting of operating constraints of the energy storage equipment, the optimization problem with the energy storage configuration cost as the objective function is solved, thereby achieving the effect of reducing the energy storage configuration cost of the offshore island microgrid.

[0027] Specifically, in the deep-sea island microgrid energy management system, turbine generators and key load equipment can be used as separate energy management nodes for status monitoring and power regulation by the deep-sea island microgrid control center. Some offshore island microgrids have been in operation for years or even decades, and their energy management system software and hardware deployments are relatively stable. Incorporating wind power, photovoltaic power, and energy storage as new energy management nodes into the deep-sea island microgrid requires updating the existing energy management system, which presents numerous challenges such as data integration and migration, ensuring system compatibility, and increasing economic costs. The method provided by the present invention, however, utilizes a wind-solar-storage-combustion bundled operation mode, coordinating wind turbines, photovoltaic power, and energy storage with the turbine generators within the system's existing energy management nodes as equivalent generators for coordinated control. This maintains the number of energy management nodes in the deep-sea island microgrid, thus eliminating the need for updates to the deep-sea island microgrid's energy management system. This achieves a grid-connected solution for offshore wind power, photovoltaic power, and energy storage without changing the existing operating mode, and is compatible with the deep-sea island microgrid's existing energy management system.

[0028] Taking the turbine generator at the energy management node i as an example, the wind-solar-storage-fuel bundled operation mode in the method provided by the present invention is as follows: Figure 2 As shown, for a specific turbine generator management node, the photovoltaic, wind turbine, and energy storage system are connected to the turbine generator's AC grid connection point via a converter. The energy management system manages the equipment at this grid connection point as a single equivalent generator. The wind, solar, and fuel-storage devices within the equivalent generator track the target power setting at this node through regulation. This demonstrates that the wind, solar, and fuel-storage bundled operation mode in the method provided by this invention does not change the existing energy management node configuration or energy management process, thereby largely preserving the original operating mode of the offshore island microgrid.

[0029] Energy storage equipment plays an important role in smoothing out wind power and photovoltaic fluctuations in the wind-solar-storage-fuel bundled control model, but the operation of energy storage is limited by energy storage constraints and power operating limits. The greater the rated energy and rated power of the energy storage, the stronger its regulation ability, which is conducive to the equivalent generator tracking the target power setting value at the energy management node. However, the investment cost of energy storage will also increase accordingly. In the method provided by the present invention, based on the setting of the operating constraints of the energy storage equipment, an optimization problem with the energy storage configuration cost as the objective function is solved to achieve the purpose of reducing the energy storage configuration cost.

[0030] Taking a deep-sea island microgrid dominated by turbine generators as an example, energy storage is divided into power-type energy storage (such as supercapacitors) and energy-type energy storage (such as lithium-ion batteries). In order to plan the energy storage configuration, the collected parameters include the deep-sea island microgrid load status, topology, irradiance and wind speed in the nearby sea area, as well as the physical parameters of energy storage, photovoltaic, wind turbine and other equipment.

[0031] When determining the energy storage planning solution, the objective function is determined based on the cost corresponding to the energy storage configuration result, as follows: (1) Where: The investment cost of energy storage; and are the rated power and rated energy of the energy storage, respectively, which are the decision variables of the optimization problem; and are the investment costs of energy storage unit rated power and rated energy respectively.

[0032] In the process of solving the optimization problem with the optimization goal of minimizing the energy storage investment cost, it is necessary to consider the actual operating constraints of the energy storage configuration. In the method provided by the present invention, the constraint conditions of the energy storage configuration are constructed to constrain the rated power and rated energy of the configured energy storage equipment.

[0033] In one possible implementation, the constraint condition includes a first constraint condition and a second constraint condition, wherein the first constraint condition is used to constrain the rated power and rated energy of the configured energy storage device to not exceed a limit value, and the second constraint condition is used to constrain the energy-to-power ratio of the configured energy storage device to be within a limited range.

[0034] Specifically, the rated power of the energy storage and rated energy There are upper limits and , that is, it needs to satisfy the constraints shown in formulas (2) to (3). The energy-to-power ratio of energy storage also has certain limitations, that is, it needs to satisfy the constraints shown in formula (4).

[0035] (2) (3) (4) Where: and They are the upper and lower limits of the energy-to-power ratio of energy storage respectively.

[0036] Since energy storage equipment needs to provide the function of power deviation suppression in scenarios where wind power and photovoltaic power generation fluctuate, in a possible implementation of the method provided by the present invention, the constraint conditions also include a third constraint condition, which is used to constrain the power deviation of the energy management node configured with energy storage to not exceed the integration limit in the wind power and photovoltaic power generation fluctuation test scenario.

[0037] Specifically, in the corresponding wind power and photovoltaic fluctuation test scenarios, the equivalent generator power deviation should not exceed the allowable limit, which can be expressed by the following formula: (5) Where: is the root mean square error between the equivalent generator power and the target power setting value of the energy management node; is the output power of the equivalent generator at the i-th power measurement point in the response process; is the reference value of the target tracking power of the energy management node; n is the number of power measurement points; for The upper limit value of .

[0038] From formula (5), we can see that In fact, it is the decision variable for energy storage configuration of deep-sea island microgrid and The strongly nonlinear function cannot be processed using existing commercial solvers. The particle swarm optimization algorithm has advantages such as simple principle, few parameters, and low information dependence, and can handle nonlinear problems. Therefore, in one possible implementation of the method provided by the present invention, the particle swarm optimization algorithm is used to solve the energy storage planning problem of deep-sea island microgrids. That is, solving the objective function based on the constraints includes: Solve the objective function under constraints through particle swarm optimization algorithm; In the particle swarm optimization algorithm, the position of each particle corresponds to a set of energy storage rated power and rated energy values, and the fitness value of each particle is determined based on the objective function.

[0039] The position coordinate vector of each particle in the particle swarm optimization algorithm is the energy storage configuration decision variable and The particle fitness corresponds to the objective function. The particle swarm optimization algorithm continuously updates the position and velocity of each particle in the iteration, and gradually approaches the optimal solution through continuous search.

[0040] Furthermore, the energy storage energy power ratio constraint shown in formula (4) and the equivalent generator power deviation constraint shown in formula (5) involve a multivariable coupling relationship. In order to improve the solution efficiency of the particle swarm optimization algorithm, the method provided by the present invention solves the objective function under the constraint conditions by using the particle swarm optimization algorithm, including: Generate a penalty function based on the second and third constraints, rewrite the objective function based on the penalty function to obtain an augmented objective function, and use the augmented objective function as the fitness function in the particle swarm optimization algorithm; The particle position and velocity are updated based on the fitness function under the first constraint condition.

[0041] The penalty function method is used to add the energy storage energy power ratio constraint shown in formula (4) and the equivalent generator power deviation constraint shown in formula (5) to the original objective function (1) of energy storage investment cost to form the augmented objective function , as shown below: (6) (7) (8) (9) Where: 、 and They represent the penalty functions corresponding to the equivalent generator power deviation constraint, the upper and lower limit constraints of the energy storage energy-to-power ratio respectively; 、 and They are 、 and The penalty coefficient is a relatively large positive number; 、 and Penalty functions 、 and The power parameter is a positive number greater than 1; represents the minimum value of x and y. Formulas (7) to (9) show that when the energy storage configuration variable 、 When the value of is within the constraints (4) and (5), the penalty function takes the value of 0. When the limit is exceeded, the corresponding penalty function becomes a positive number, and the more severe the limit is, the larger the value of the penalty function. In this way, the offshore island microgrid energy storage planning model is transformed into: (10) Furthermore, the adaptive particle swarm optimization algorithm can be used to solve the problem shown in formula (10). The update formulas for the position and velocity of each particle are as follows: (11) Where: and are the velocity and position of the i-th particle at the k-th iteration respectively; is the inertia factor of the particle swarm at the kth iteration; and are the neighborhood factor and global factor of the particle respectively; and is the random parameter of the particle swarm at the kth iteration, and its value range is [0,1]; and They are the optimal position in the current neighborhood of the i-th particle and the global optimal position after the k-th iteration, where the current neighborhood refers to the other particles closest to the i-th particle. n k A collection of particles.

[0042] The adaptive performance of the particle swarm algorithm is that the parameters are adjusted accordingly with the iteration results after each iteration, as shown below: (12) (13) (14) Where: is the number of particles; , represents the initial neighborhood size, where is the selected neighborhood size factor, Represents the largest integer not greater than x; is the optimal augmented objective function value after the kth iteration. In particular, is the optimal augmented objective function value in the initial particle swarm; and are the maximum and minimum limits of the inertia factor respectively. If the kth iteration does not make the augmented objective function better, it is said that iterative sticking occurs. In the minimum optimization problem, iterative sticking is manifested as ; is an iterative sticky counter, where ; and It is the sticky parameter for the selected phased iteration.

[0043] Formula (12) can be intuitively understood as follows: when iterative viscosity occurs, the neighborhood size of each particle will be expanded by a certain increment, but the maximum does not exceed Formula (13) can be intuitively understood as follows: in the initial stage of iterative stickiness, the inertia factor will be increased within the limit to search for the energy storage capacity configuration scheme of the offshore island microgrid in a larger space; after continuous iterative stickiness, the inertia factor will be reduced within the limit to accelerate the convergence speed of the energy storage optimization configuration solution.

[0044] In order to verify the effectiveness of the method provided by the present invention, a certain offshore island microgrid is used as a research object for verification. The system structure and equipment parameters of the research object are as follows: Figure 3 As shown, the energy storage, 50kW photovoltaic power generation, and 4MW wind turbine are connected to the same DC operating point via DC / DC and AC / DC converters, respectively. The shared DC / AC converter then joins the AC network of the offshore island microgrid. The wind power, photovoltaic power generation, and energy storage are bundled with a 5MW gas turbine generator on platform 2-2 to form an equivalent generator.

[0045] The above system structure and the proposed wind-solar-storage-fuel bundling control strategy were modeled in Matlab / Simulink. In order to verify the effectiveness of the energy storage configuration method provided by the present invention, the method provided by the present invention was compared with the capacity calculation method based on energy storage charge and discharge throughput in the existing literature. A scenario with a large step drop in wind speed was selected, and the equivalent generator power deviation limit was used. =0.112pu as an example, the four energy storage configuration strategies shown in Table 1 are compared. Under different energy storage configuration strategies, the energy storage capacity optimization solution results and the corresponding investment costs are shown in Table 1. Figure 4 shown.

[0046] Table 1

[0047] The above results show that the investment cost of configuration strategy 2 is reduced by 72.6% compared with configuration strategy 1, and the investment cost of configuration strategy 4 is reduced by 72.3% compared with configuration strategy 3. This shows that regardless of whether lithium-ion batteries or supercapacitors are configured, the method provided by the present invention can significantly reduce the energy storage investment cost on the basis of existing methods, thereby verifying the effectiveness of the method provided by the present invention in different energy storage technologies. The reason is that the capacity calculation method based on the energy storage charge and discharge throughput uses the charge and discharge power peak during the test period as the design benchmark for the rated power, and the resulting configuration scheme is usually conservative. The method provided by the present invention continuously iterates and searches for energy storage capacity configuration schemes within the power tracking error constraint, thereby being able to obtain a more economical energy storage configuration scheme while meeting the equivalent generator control target.

[0048] The following describes the isolated microgrid energy storage configuration device for wind, solar, storage and fuel bundling provided by the present invention. The isolated microgrid energy storage configuration device for wind, solar, storage and fuel bundling described below and the isolated microgrid energy storage configuration method for wind, solar, storage and fuel bundling described above can be used for reference. Figure 5 As shown, the energy storage configuration device for wind, solar, storage and fuel-fired bundled island microgrid provided by the present invention includes the following modules: A constraint module 510 is used to construct energy storage configuration constraint conditions, where the constraint conditions are used to constrain the rated power and rated energy of the configured energy storage device; Solving module 520 is used to solve the optimization problem based on the constraints to obtain the energy storage configuration result of the isolated island microgrid. The energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage equipment. The objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result.

[0049] Figure 6 An example of a physical structure diagram of an electronic device is shown below. Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communications bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communications bus 640. The processor 610 may call logic instructions in the memory 630 to execute an energy storage configuration method for an isolated microgrid bundled with wind, solar, storage, and fuel. The method includes: establishing energy storage configuration constraints, where the constraints are used to constrain the rated power and rated energy of the configured energy storage devices; solving an optimization problem based on the constraints to obtain an energy storage configuration result for the isolated microgrid, where the energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage devices; and determining the objective function of the optimization problem based on the cost corresponding to the energy storage configuration result. The isolated microgrid includes multiple energy management nodes, each of which corresponds to a turbine generator. The photovoltaic power generation equipment, wind power generation equipment, and energy storage equipment in the isolated microgrid are connected to the AC grid connection point of the turbine generator in the energy management node via a converter.

[0050] Furthermore, the logic instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0051] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the island microgrid energy storage configuration method for wind, solar, storage and fuel bundling provided by the above methods. The method includes: constructing energy storage configuration constraints, which are used to constrain the rated power and rated energy of the configured energy storage equipment; solving the optimization problem based on the constraints to obtain the energy storage configuration result of the island microgrid, which includes the values ​​of the rated power and rated energy of the energy storage equipment, and the objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result; the island microgrid includes multiple energy management nodes, each energy management node corresponds to a turbine generator, and the photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the island microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter.

[0052] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned methods for executing the energy storage configuration method of an island microgrid for wind, solar, storage and fuel bundling, the method comprising: constructing energy storage configuration constraints, the constraints being used to constrain the rated power and rated energy of the configured energy storage equipment; solving the optimization problem based on the constraints to obtain the energy storage configuration result of the island microgrid, the energy storage configuration result including the values ​​of the rated power and rated energy of the energy storage equipment, and the objective function of the optimization problem being determined based on the cost corresponding to the energy storage configuration result; the island microgrid comprising multiple energy management nodes, each energy management node corresponding to a turbine generator, the photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the island microgrid being connected to the AC grid connection point of the turbine generator in the energy management node through a converter.

[0053] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0054] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel-fired bundling, characterized in that: The isolated island microgrid includes a plurality of energy management nodes, each of which corresponds to a turbine generator, and the photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the isolated island microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter; The method comprises: Constructing energy storage configuration constraints, wherein the constraints are used to constrain the rated power and rated energy of the configured energy storage device; The optimization problem is solved based on the constraints to obtain the energy storage configuration result of the isolated island microgrid. The energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage equipment. The objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result.

2. The energy storage configuration method for isolated microgrids for wind, solar, storage and fuel bundling according to claim 1 is characterized in that: The constraint conditions include a first constraint condition and a second constraint condition; The first constraint condition is used to constrain the rated power and rated energy of the configured energy storage device to not exceed the limit value; The second constraint condition is used to constrain the energy-to-power ratio of the configured energy storage device to be within a limited range.

3. The method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel bundling according to claim 2, characterized in that: The constraint conditions also include a third constraint condition, which is used to constrain the power deviation of the energy management node configured with energy storage to not exceed an allowable limit in a wind power and photovoltaic fluctuation test scenario.

4. The method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel bundling according to claim 3 is characterized in that: The third constraint condition is: ； in, is the root mean square error between the power of the energy management node and the target power setting value of the energy management node; is the output power of the energy management node at the i-th power measurement point in the response process; is the reference value of the target tracking power of the energy management node; n is the number of power measurement points; for The upper limit value of .

5. The method for configuring energy storage in an isolated microgrid for wind, solar, storage and fuel-fired bundling according to claim 3 is characterized in that: Solving the objective function based on the constraint conditions includes: Solving the objective function under the constraints by using a particle swarm optimization algorithm; In the particle swarm optimization algorithm, the position of each particle corresponds to a set of values ​​of energy storage rated power and rated energy, and the fitness value of each particle is determined based on the objective function.

6. The method for configuring energy storage for isolated microgrids bundled with wind, solar, storage and fuel according to claim 5, characterized in that: Solving the objective function under the constraints by using a particle swarm optimization algorithm includes: generating a penalty function based on the second constraint condition and the third constraint condition, rewriting the objective function based on the penalty function to obtain an augmented objective function, and using the augmented objective function as a fitness function in the particle swarm optimization algorithm; The particle position and velocity are updated based on the fitness function under the first constraint condition.

7. An energy storage configuration device for an isolated microgrid for wind, solar, storage and fuel bundling, characterized in that: The isolated island microgrid includes a plurality of energy management nodes, each of which corresponds to a turbine generator, and the photovoltaic power generation equipment, wind power generation equipment and energy storage equipment in the isolated island microgrid are connected to the AC grid connection point of the turbine generator in the energy management node through a converter; The device comprises: A constraint module, used to construct energy storage configuration constraint conditions, wherein the constraint conditions are used to constrain the rated power and rated energy of the configured energy storage device; A solution module is used to solve the optimization problem based on the constraint conditions to obtain an energy storage configuration result of the isolated island microgrid, wherein the energy storage configuration result includes the values ​​of the rated power and rated energy of the energy storage device, and the objective function of the optimization problem is determined based on the cost corresponding to the energy storage configuration result.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the isolated microgrid energy storage configuration method for wind, solar, storage and fuel bundling as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for configuring energy storage in an island microgrid for wind, solar, storage and fuel bundling as described in any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for configuring energy storage in an island microgrid for wind, solar, storage and fuel bundling as described in any one of claims 1 to 6 is implemented.

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