Optimization method and device for wind-solar-storage system power supply, medium and electronic equipment

Abstract

The application discloses a wind-solar-storage system power supply optimization method and device, a medium and an electronic equipment. The method comprises the following steps: determining the target power generation of each wind-solar-storage equipment in the group distributed wind-solar-storage according to the comprehensive control optimization target of the power distribution network and the electrical quantity constraint condition; determining the active power target power generation and the reactive power target power generation of the wind-solar-storage equipment according to the target power generation and the current power generation of each wind-solar-storage equipment; and determining the voltage control amount output by the wind-solar-storage equipment to the power distribution network according to the active power target power generation and the reactive power target power generation.

Description

Technical Field

[0001] This invention relates to the field of new energy technology, and more specifically, to an optimization method, apparatus, medium, and electronic equipment for power supply of a wind-solar-storage system. Background Technology

[0002] Existing research on new energy control algorithms mainly focuses on control strategies and algorithms for individual wind, solar, and energy storage systems or wind power. However, there are significant differences in results between individual optimization and group optimization. In some cases, optimal individual power generation may result in a poor overall group effect. Given the current trend of large-scale new energy development, the optimized control characteristics of group-based new energy clearly have greater industrial applicability, especially after large-scale wind, solar, and energy storage are connected to the grid. The interaction between the dynamic characteristics of the power grid itself and the dynamic characteristics of wind, solar, and energy storage brings more complex control optimization challenges. Distributed wind, solar, and energy storage power generation is greatly affected by the climate environment and exhibits fluctuations in power generation. Currently, after large-scale wind, solar, and energy storage are connected to the grid, they bring huge power fluctuations and uncontrollability to the large power grid. The adoption of traditional inertia storage methods has led to a surge in grid operating costs. When facing load power fluctuations and faults in the grid, wind, solar, and energy storage power stations can only passively defend and withstand them. The fragility and shock resistance of power electronic control equipment lead to huge cost losses in new energy power generation, lacking effective active response control. The technical integration and harmonious development of new energy control and the stability of the large power grid is a major research issue that urgently needs to be addressed. On the other hand, the large number of power electronic control devices gives wind, solar and energy storage power stations highly efficient electrical control characteristics. In response to grid load fluctuations, uncertain faults or other electrical power fluctuations caused by wind, solar and energy storage power stations, the effective application of a large number of wind, solar and energy storage power electronic control devices for active response control will enable wind, solar and energy storage power stations to have fast and efficient electrical control potential. In response to grid power fluctuations, if a certain group active response control strategy is adopted to deal with the fluctuations in electrical quantities such as power in the grid, the control strategy that comprehensively optimizes the overall goal and individual characteristics, takes into account both global optimal and individual optimal factors, and is of great industrial applicability. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides an optimized method, apparatus, medium, and electronic equipment for power supply in wind, solar, and energy storage systems.

[0004] According to one aspect of the present invention, an optimized method for power supply of a wind-solar-storage system is provided, comprising:

[0005] Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined.

[0006] Based on the target power generation and current power generation of each wind, solar and energy storage device, determine the target active power generation and target reactive power generation of that device.

[0007] Based on the target active power generation and the target reactive power generation, determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network.

[0008] Optionally, based on the comprehensive control optimization objectives of the distribution network and electrical quantity constraints, the operation for determining the target power generation of each wind-solar-storage device in the distributed wind-solar-storage system includes:

[0009] Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target active power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined.

[0010] Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target reactive power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined.

[0011] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target active power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0012]

[0013]

[0014] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i It is the weight of the target power generation change of the i-th wind, solar and energy storage device. ΔP is the target active power generation change of the i-th wind, solar and energy storage device. total The overall target is the change in active power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target of active power.

[0015] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0016]

[0017]

[0018] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i It is the weight of the target power generation change of the i-th wind, solar and energy storage device. ΔQ is the target reactive power change of the i-th wind-solar-storage unit.total The overall target is the change in reactive power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target for reactive power.

[0019] Optionally, the operation of determining the target active power generation and target reactive power generation of each wind, solar, and energy storage device based on its target power generation and current power generation includes:

[0020] The target active power generation of each wind, solar and energy storage device is determined based on its target active power generation and current active power generation.

[0021] The target reactive power generation of each wind, solar and energy storage device is determined based on its target reactive power generation and current reactive power generation.

[0022] Optionally, the operation of determining the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation includes:

[0023] Based on the target active power generation, determine the D-axis voltage control quantity input from the wind, solar and energy storage equipment to the distribution network;

[0024] Based on the target reactive power generation, determine the Q-axis voltage control quantity output by the wind, solar and energy storage equipment to the distribution network.

[0025] Optionally, based on the target active power generation and the target reactive power generation, the calculation formula for the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network is as follows:

[0026]

[0027] in, and These are the proportional-integral coefficients for the PI control of the i-th wind, solar, and energy storage device, e d and e q The three-phase grid voltage E for connecting wind, solar and energy storage power generation equipment to the grid a E b E c In the (d, q) coordinate system, the dq axis components, i d and i q The inverter outputs three-phase current i of the wind, solar and energy storage power generation equipment. a i b i c In the (d, q) coordinate system, the dq axis components, P i * The active power target power generation of the i-th wind, solar and energy storage device. It is the target reactive power generation of the i-th wind, solar and energy storage device.

[0028] According to another aspect of the present invention, an optimization device for power supply of a wind-solar-storage system is provided, comprising:

[0029] The first determining module is used to determine the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints.

[0030] The second determining module is used to determine the target active power generation and target reactive power generation of each wind, solar and energy storage device based on the target power generation and the current power generation of each device.

[0031] The third determining module is used to determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation.

[0032] According to another aspect of the present invention, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the methods described in any of the above aspects of the present invention.

[0033] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method described in any of the preceding aspects of the present invention.

[0034] Therefore, this application uses real-time adaptive adjustment of control parameters to track the system based on the dynamic changes in electrical quantities such as grid power, load, and voltage, thereby optimizing the comprehensive dynamic response characteristics of the grid's electrical quantities. The control system with the comprehensive optimization objective possesses robust characteristics of adaptability and error tolerance, reducing the impact of uncertainties, including model errors. This significantly improves the response speed and precision of wind, solar, and energy storage devices to fluctuations in grid electrical quantities. Attached Figure Description

[0035] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0036] Figure 1 This is a flowchart illustrating an exemplary embodiment of the present invention for optimizing the power supply of a wind-solar-storage system.

[0037] Figure 2 This is a simulation example diagram of multiple wind, solar and energy storage provided by an exemplary embodiment of the present invention;

[0038] Figure 3 This is a schematic diagram of a wind, solar and energy storage device provided in an exemplary embodiment of the present invention;

[0039] Figure 4This is a comparison diagram of active power fluctuation response provided by an exemplary embodiment of the present invention;

[0040] Figure 5 This is a distributed wind-solar-storage power response differentiation characteristic curve with different weighting factors provided by an exemplary embodiment of the present invention;

[0041] Figure 6 This is a comparison of wind, solar, and storage current characteristics under active load power waveforms provided by an exemplary embodiment of the present invention.

[0042] Figure 7 This is a comparison of wind, solar, and storage current characteristics under active load power waveforms provided by an exemplary embodiment of the present invention.

[0043] Figure 8 This is a schematic diagram of the structure of an optimized power supply device for a wind-solar-storage system provided in an exemplary embodiment of the present invention;

[0044] Figure 9 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. Detailed Implementation

[0045] Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments of the present invention. It should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0046] It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0047] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of the present invention are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0048] It should also be understood that in the embodiments of the present invention, "multiple" can refer to two or more, and "at least one" can refer to one, two or more.

[0049] It should also be understood that any component, data or structure mentioned in the embodiments of the present invention can generally be understood as one or more unless explicitly defined or given contrary instructions in the context.

[0050] Furthermore, the term "and / or" in this invention is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this invention generally indicates that the preceding and following related objects have an "or" relationship.

[0051] It should also be understood that the description of the various embodiments in this invention emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0052] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0053] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0054] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the specification.

[0055] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0056] The embodiments of this invention can be applied to electronic devices such as terminal devices, computer systems, and servers, and can operate together with a wide range of other general-purpose or special-purpose computing system environments or configurations. Well-known examples of terminal devices, computing systems, environments, and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, and servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments including any of the above systems, etc.

[0057] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in distributed cloud computing environments, where tasks are executed by remote processing devices linked through communication networks. In distributed cloud computing environments, program modules can reside on local or remote computing system storage media, including storage devices.

[0058] Exemplary methods

[0059] Figure 1 This is a flowchart illustrating an optimized power supply method for a wind-solar-storage system according to an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as… Figure 1 As shown, the optimization method 100 for power supply of wind-solar-storage systems includes the following steps:

[0060] Step 101: Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, determine the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system.

[0061] Step 102: Determine the target active power generation and target reactive power generation of each wind, solar and energy storage device based on the target power generation and current power generation.

[0062] Step 103: Determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation.

[0063] Specifically, the number of wind, solar and energy storage devices participating in the optimization of the distributed wind, solar and energy storage system can be selected according to priority, or all of them can participate.

[0064] Among them, reference Figure 2 As shown, distributed wind, solar and energy storage power response control is used to cope with grid power fluctuations, and a multi-functional grid-connected inverter is used to suppress and regulate grid transient power fluctuations.

[0065] Therefore, this application uses real-time adaptive adjustment of control parameters to track the system based on the dynamic changes in electrical quantities such as grid power, load, and voltage, thereby optimizing the comprehensive dynamic response characteristics of the grid's electrical quantities. The control system with the comprehensive optimization objective possesses robust characteristics of adaptability and error tolerance, reducing the impact of uncertainties, including model errors. This significantly improves the response speed and precision of wind, solar, and energy storage devices to fluctuations in grid electrical quantities.

[0066] Furthermore, it can allocate group wind, solar, and energy storage regulation sub-objectives according to priority and minimum quantity principles, ensuring that the group's power electronic equipment does not suffer excessive wear and tear from frequent and wasteful adjustments. Simultaneously, it achieves flexible, refined, and cost-effective implementation of overall control objectives, demonstrating significant control advantages. It is applicable to the development of control system chips such as microcontrollers, greatly improving control efficiency and reducing the overall operating cost of the power system.

[0067] Optionally, based on the comprehensive control optimization objectives of the distribution network and electrical quantity constraints, the operation for determining the target power generation of each wind-solar-storage device in the distributed wind-solar-storage system includes:

[0068] Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target active power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined.

[0069] Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target reactive power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined.

[0070] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target active power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0071]

[0072]

[0073] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i ΔP is the weight of the target power generation change of the i-th wind, solar and energy storage device. i * ΔP is the target active power generation change of the i-th wind, solar and energy storage device. total The overall target is the change in active power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target of active power.

[0074] Where, λ i It is the weight of the target power generation change of the i-th wind, solar and energy storage device, where The closer the wind, solar, and energy storage equipment is to the target adjustment point, the greater its weight in terms of power generation changes. i It is the distance from the target adjustment point, calculated using the following formula:

[0075]

[0076] In addition, refer to Figure 2As shown, for example, in a simulation example of wind, solar, and energy storage integration with the power grid, a power load fluctuation occurs within 0.6 seconds, resulting in a significant drop in active power. The wind, solar, and energy storage cluster adopts a group response control strategy to address this active power fluctuation. Based on the characteristics of active power fluctuations, the design calculates the active power regulation margin of different wind, solar, and energy storage power stations, as well as the inherent characteristics of the wind, solar, and energy storage control system and the number of power stations, while meeting the overall active power fluctuation difference control objective. This achieves the target optimization control strategy.

[0077] In addition, the number N of wind, solar and energy storage power stations participating in this round of regulation and the active power output regulation target ΔP for each wind, solar and energy storage unit are first determined. i * Adjustment weight factor λ i Different types of wind, solar and energy storage systems adjust their power response based on their own characteristics and optimization results, achieving flexible adjustment of the overall control objectives.

[0078] Furthermore, based on the target active power generation, we can also obtain:

[0079] P i * =P i +ΔP i *

[0080]

[0081] Among them, P i * P is the target power generation of the i-th wind, solar and energy storage device. i P is the current power generation of the i-th wind, solar, and energy storage unit. total N represents the overall target power generation capacity, and N is the number of wind, solar, and energy storage power generation devices.

[0082] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0083]

[0084]

[0085] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i ΔQ is the weight of the target power generation change of the i-th wind, solar and energy storage device. i * ΔQ is the target reactive power change of the i-th wind-solar-storage unit. total The overall target is the change in reactive power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target for reactive power.

[0086] The calculation method for the target reactive power generation is the same as that for the target active power generation. Therefore, it will not be repeated here.

[0087] Optionally, the operation of determining the target active power generation and target reactive power generation of each wind, solar, and energy storage device based on its target power generation and current power generation includes:

[0088] The target active power generation of each wind, solar and energy storage device is determined based on its target active power generation and current active power generation.

[0089] The target reactive power generation of each wind, solar and energy storage device is determined based on its target reactive power generation and current reactive power generation.

[0090] Optionally, the operation of determining the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation includes:

[0091] Based on the target active power generation, determine the D-axis voltage control quantity input from the wind, solar and energy storage equipment to the distribution network;

[0092] Based on the target reactive power generation, determine the Q-axis voltage control quantity output by the wind, solar and energy storage equipment to the distribution network.

[0093] Optionally, based on the target active power generation and the target reactive power generation, the calculation formula for the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network is as follows:

[0094]

[0095] in, and These are the proportional-integral coefficients for the PI control of the i-th wind, solar, and energy storage device, e d and e q The three-phase grid voltage E for connecting wind, solar and energy storage power generation equipment to the grid a E b E c In the (d, q) coordinate system, the dq axis components, i d and i q The inverter outputs three-phase current i of the wind, solar and energy storage power generation equipment. a i b i c The dq axis components in the (d, q) coordinate system The active power target power generation of the i-th wind, solar and energy storage device. It is the target reactive power generation of the i-th wind, solar and energy storage device.

[0096] Specifically, refer to Figure 3 As shown, for a certain i-th wind-solar-storage power station: Let e d and e q The three-phase grid voltage E for connecting wind, solar and energy storage power generation equipment to the grid a E b E c In the (d, q) coordinate system, the dq axis components, i d and i q The inverter outputs three-phase current i of the wind, solar and energy storage power generation equipment. a i b i c dq axis components in the (d, q) coordinate system. i * The active power target power generation of the i-th wind, solar and energy storage device. The reactive power target generation of the i-th wind, solar and energy storage device

[0097] The superscript 'i' refers to the typhoon-solar-storage power generation equipment. For the i-th typhoon-solar-storage power generation equipment, its feedforward decoupling control system logic is as follows:

[0098]

[0099]

[0100] Substituting the two formulas above, we can obtain the following formula:

[0101]

[0102] and These are the proportional-integral coefficients for the PI control of the i-th wind, solar, and energy storage device. (8) can be used to... The regulation adjusts the active and reactive power input to the grid from each wind, solar, and energy storage power generation device according to the power target of the control command, so as to achieve the overall power control target.

[0103] Therefore, this invention addresses the collective response control of wind, solar, and energy storage systems (FSS) due to power, voltage, and frequency fluctuations caused by various factors such as load. It proposes a comprehensive and optimized control strategy based on the electrical quantity adjustment margins of different FSS stations, the inherent characteristics of the FSS control system, and electrical distance, while meeting the overall electrical quantity fluctuation control target. The system adjusts according to the weights of different FSS, solar, and energy storage components, achieving rapid and effective attainment of overall electrical quantity targets such as active power. This optimizes adjustment efficiency and ensures that the FSS power electronic equipment does not suffer excessive wear and tear from frequent and wasteful adjustments. Simultaneously, it achieves flexible, refined, and cost-effective overall control, demonstrating significant control advantages. It is applicable to the development of microcontroller and other control system chips, greatly improving control efficiency.

[0104] In addition, the effects of individual wind-solar-storage power stations and the overall power grid, such as power, voltage, and current, are analyzed and compared. Figures 4-7 As can be seen from the simulated waveform, a power fluctuation occurred in the grid at 0.6 seconds, resulting in a significant loss of active power. To maintain good transient characteristics of the power system, based on the comprehensive optimization control strategy of this patent, and considering factors such as the power reserves, electrical distance, and control characteristics of the wind, solar, and energy storage power stations, the three highest-priority high-power wind, solar, and energy storage power stations were selected for power target adjustment. Different weighting factors were assigned to the wind, solar, and energy storage power stations based on their unique characteristics to optimize the control system, effectively achieving the overall control power difference target. The waveform comparison shows that the control strategy exhibits excellent transient response characteristics, with the power waveform flexibly returning to the target region without causing power oscillations or under-regulation. Furthermore, it uses a minimal number of wind, solar, and energy storage units for regulation, avoiding the impact on system stability caused by large-scale power fluctuations. The control strategy and algorithm proposed in this patent are industrially practical, highly efficient, and economical, effectively realizing the group active response control of large-scale wind, solar, and energy storage integration into the power grid, promoting the reliable compatibility and integrated development of new energy technologies and grid stability technologies.

[0105] This invention is applicable to the regulation of electrical quantities in the power grid by various wind, solar, and energy storage power plants. These electrical quantities include, but are not limited to, active power, reactive power, voltage, and frequency. Applicable electrical equipment includes, but is not limited to, wind, solar, and energy storage power generation equipment, and is also suitable for simple reactive power regulation devices such as SVG and SVC. Furthermore, it is applicable to the usage rules of control system chips such as microcontrollers, significantly improving control efficiency and reducing the overall operating cost of the power system.

[0106] Therefore, this invention proposes a comprehensive and optimized group control strategy. This strategy addresses the group response control of wind, solar, and energy storage systems (FSS) due to various factors such as load, including fluctuations in active power, reactive power, voltage, and frequency. While meeting the overall electrical quantity fluctuation control objective, it proposes a comprehensive and optimized control strategy based on the electrical quantity regulation margins of different FSS stations, the inherent characteristics of the FSS control system, and electrical distance. This strategy determines the number of FSS stations participating in the current regulation cycle and the output regulation targets and regulation weighting factors for each FSS unit, such as active power. Furthermore, it optimizes the control strategy based on the different FSS units. The weighted optimization control system adjusts the overall electrical quantity targets, such as active power, to achieve them quickly and effectively, optimizing the adjustment efficiency. Different wind, solar, and energy storage power stations are assigned differentiated targets and weights based on the load fluctuation location and the characteristics of the wind, solar, and energy storage themselves. The group wind, solar, and energy storage adjustment sub-targets are allocated according to priority (e.g., based on weight settings, or all wind, solar, and energy storage can participate in the optimization, which is not limited in this invention) and the principle of minimizing the number of targets. This ensures that the wind, solar, and energy storage power electronic equipment will not be wastefully adjusted frequently and excessively damaged. At the same time, it achieves the overall control target with flexibility, refinement, and minimum cost, which has significant control advantages.

[0107] Exemplary device

[0108] Figure 8 This is a schematic diagram of the structure of an optimized power supply device for a wind-solar-storage system provided in an exemplary embodiment of the present invention. For example... Figure 8 As shown, the device 800 includes:

[0109] The first determining module 810 is used to determine the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage group based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints.

[0110] The second determining module 820 is used to determine the target active power generation and target reactive power generation of each wind, solar and energy storage device based on the target power generation and the current power generation of each device.

[0111] The third determining module 830 is used to determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation.

[0112] Optionally, the first determining module 810 includes:

[0113] The first determining submodule is used to determine the target active power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage group based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints.

[0114] The second determining submodule is used to determine the target reactive power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints.

[0115] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target active power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0116]

[0117]

[0118] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i It is the weight of the target power generation change of the i-th wind, solar and energy storage device. ΔP is the target active power generation change of the i-th wind, solar and energy storage device. total The overall target is the change in active power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target of active power.

[0119] Optionally, based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage system is as follows:

[0120]

[0121]

[0122] Where γ is the margin coefficient for each wind, solar, and energy storage generation, 0 < γ ≤ 1, λ i ΔQ is the weight of the target power generation change of the i-th wind, solar and energy storage device. i * ΔQ is the target reactive power change of the i-th wind-solar-storage unit. total The overall target is the change in reactive power generation, where N is the number of wind, solar, and energy storage power generation devices. It is the overall optimization target for reactive power.

[0123] Optionally, the second determining module 820 includes:

[0124] The third determination submodule is used to determine the target active power generation of each wind, solar and energy storage device based on the target active power generation and the current active power generation.

[0125] The fourth determination submodule is used to determine the target reactive power generation of each wind, solar and energy storage device based on the target reactive power generation and the current reactive power generation.

[0126] Optionally, the third determining module 830 includes:

[0127] The fifth determination submodule is used to determine the D-axis voltage control quantity input by the wind, solar and energy storage equipment to the distribution network based on the target active power generation.

[0128] The sixth determination submodule is used to determine the Q-axis voltage control quantity output by the wind, solar and energy storage equipment to the distribution network based on the target reactive power generation.

[0129] Optionally, based on the target active power generation and the target reactive power generation, the calculation formula for the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network is as follows:

[0130]

[0131] in, and These are the proportional-integral coefficients for the PI control of the i-th wind, solar, and energy storage device, e d and e q The three-phase grid voltage E for connecting wind, solar and energy storage power generation equipment to the grid a E b E c In the (d, q) coordinate system, the dq axis components, i d and i q The inverter outputs three-phase current i of the wind, solar and energy storage power generation equipment. a i b i c In the (d, q) coordinate system, the dq axis components, P i * It is the active power target power generation of the i-th wind, solar and energy storage device, Qi * It is the target reactive power generation of the i-th wind, solar and energy storage device.

[0132] Exemplary electronic devices

[0133] Figure 9 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. For example... Figure 9 As shown, the electronic device 90 includes one or more processors 91 and memory 92.

[0134] The processor 91 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0135] The memory 92 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 91 may execute the program instructions to implement the methods of the software programs of the various embodiments of the present invention described above, and / or other desired functions. In one example, the electronic device may also include an input device 93 and an output device 94, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0136] In addition, the input device 93 may also include, for example, a keyboard, a mouse, etc.

[0137] The output device 94 can output various information to the outside. The output device 94 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0138] Of course, for the sake of simplicity, Figure 9 Only some of the components of the electronic device relevant to the present invention are shown, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device may include any other suitable components depending on the specific application.

[0139] Exemplary computer program products and computer-readable storage media

[0140] In addition to the methods and apparatus described above, embodiments of the present invention may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0141] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0142] Furthermore, embodiments of the present invention may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the methods for information mining of historical change records according to various embodiments of the present invention as described in the "Exemplary Methods" section above.

[0143] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0144] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0145] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0146] The block diagrams of devices, systems, devices, and systems involved in this invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, systems, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0147] The methods and systems of the present invention may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of the present invention are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, the present invention may also be implemented as a program recorded on a recording medium, the program comprising machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers recording media storing programs for performing the methods according to the present invention.

[0148] It should also be noted that in the systems, apparatus, and methods of the present invention, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered equivalents of the present invention. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the invention. Therefore, the invention is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0149] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the invention to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. An optimized method for power supply in a wind-solar-storage system, characterized in that, include: Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system is determined. Based on the target power generation and current power generation of each wind, solar and energy storage device, determine the target active power generation and target reactive power generation of that device. Based on the target active power generation and the target reactive power generation, determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network; The operation of determining the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation includes: Based on the target active power generation, the input power from the wind, solar, and energy storage equipment to the distribution network is determined. D Shaft voltage control quantity; Based on the target reactive power generation, the output power of the wind, solar, and energy storage equipment to the distribution network is determined. Q Shaft voltage control quantity; Based on the target active power generation and the target reactive power generation, the calculation formula for the voltage control quantity output by the wind, solar, and energy storage equipment to the distribution network is as follows: in, It is the first i Weighting of target power generation changes for typhoon-fed solar-storage systems. and They are the first i The proportional-integral coefficient of PI control for typhoon-fed solar-storage equipment. and Three-phase voltage of the power grid for connecting wind, solar and energy storage power generation equipment to the grid , , exist( d、 q coordinate system dq Axial components, and It is the three-phase current output of the inverter of the wind, solar and energy storage power generation equipment. , , exist( d, q coordinate system dq Axial components, It is the first i Target active power generation of typhoon-fed solar-storage equipment It is the first i Target reactive power generation of typhoon-powered solar-storage equipment.

2. The method according to claim 1, characterized in that, Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the operation for determining the target power generation of each wind-solar-storage device in the distributed wind-solar-storage system includes: Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target active power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage group is determined. Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage group is determined.

3. The method according to claim 2, characterized in that, Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target active power generation of each wind-solar-storage device in the distributed wind-solar-storage group is as follows: in, It is the margin coefficient for each wind, solar, and energy storage generation capacity. , It is the first i Weighting of target power generation changes for typhoon-fed solar-storage systems. It is the first i Changes in target active power generation from typhoon-fed solar-storage systems. It is the overall target of active power generation variation. N It refers to the number of wind, solar, and energy storage power generation devices. It is the overall optimization target of active power.

4. The method according to claim 2, characterized in that, Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage group is as follows: Among them, among them, It is the margin coefficient for each wind, solar, and energy storage generation capacity. , It is the first i Weighting of target power generation changes for typhoon-fed solar-storage systems. It is the first i The target reactive power generation change of the typhoon-fed solar-storage system. The overall target is the change in reactive power generation. N It refers to the number of wind, solar, and energy storage power generation devices. It is the overall optimization target for reactive power.

5. The method according to claim 2, characterized in that, The operation of determining the target active power generation and target reactive power generation of each wind, solar, and energy storage device based on the target power generation and current power generation includes: The target active power generation of each wind, solar and energy storage device is determined based on the target active power generation and the current active power generation. The target reactive power generation of each wind, solar, and energy storage device is determined based on the target reactive power generation and the current reactive power generation.

6. An optimization device for power supply of a wind-solar-storage system, used to implement the method of claim 1, characterized in that, include: The first determining module is used to determine the target power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage system based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints. The second determining module is used to determine the target active power generation and target reactive power generation of each wind, solar and energy storage device based on the target power generation and the current power generation of each device. The third determining module is used to determine the voltage control quantity output by the wind, solar and energy storage equipment to the distribution network based on the target active power generation and the target reactive power generation.

7. The apparatus according to claim 6, characterized in that, The first determining module includes: Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target active power generation of each wind, solar and energy storage device in the distributed wind, solar and energy storage group is determined. Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the target reactive power generation of each wind-solar-storage device in the distributed wind-solar-storage group is determined.

8. The apparatus according to claim 7, characterized in that, Based on the comprehensive control optimization objectives of the distribution network and the electrical quantity constraints, the formula for determining the target active power generation of each wind-solar-storage device in the distributed wind-solar-storage group is as follows: in, It is the margin coefficient for each wind, solar, and energy storage generation capacity. , It is the first i Weighting of target power generation changes for typhoon-fed solar-storage systems. It is the first i Changes in target active power generation from typhoon-fed solar-storage systems. It is the overall target of active power generation variation. N It refers to the number of wind, solar, and energy storage power generation devices. It is the overall optimization target of active power.

9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for performing the method described in any one of claims 1-5.

10. An electronic device, characterized in that, The electronic device includes: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-5.

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