METHOD, DEVICE AND ELECTRONIC EQUIPMENT FOR RESPIRATORY POWER ADJUSTMENT OF AN INTEGRATED FIELD STATION FOR A WIND POWER PLANT, A PHOTOVOLTAIC PLANT AND AN ENERGY STORAGE UNIT

Description

Field of the invention

[0001] The present application relates to the technical field of power control, in particular to a method, a device and an electronic equipment for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit. State of the art

[0002] With the rapid increase in single-unit capacity and the number of grid connections of wind turbines and photovoltaics in the power system, the problem of reactive power distribution of integrated field stations for wind turbines, photovoltaics, and energy storage units has become complex. Therefore, how to implement reactive power adjustment at large-scale integrated field stations for wind turbines, photovoltaics, and energy storage units has become an important research topic.

[0003] The current state of the art is still in the research stage of reactive power adjustment at wind farm stations and does not include reactive power adjustment at large-scale integrated field stations for a wind turbine, a photovoltaic system, and an energy storage unit. If the wind farm station reactive power adjustment method is simply applied to a large-scale integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit, the reactive power adjustment effect cannot be guaranteed.

[0004] US 2020 / 203951 A1 discloses an energy supply network with various electricity suppliers, including wind power, photovoltaics and battery storage, and the provision of reactive power from these sources, taking into account the resulting costs, including opportunity costs. Object of the invention

[0005] The present application provides a method, an apparatus, and an electronic equipment for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit, thereby solving the defects that the prior art cannot guarantee the reactive power adjustment effect on the integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit.

[0006] According to the first aspect of the present application, a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic and an energy storage unit is provided, comprising: Collecting performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information includes the performance prediction data of the wind turbine, the performance prediction data of the photovoltaic system, and the performance data of the energy storage unit; Determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit;Determining a plurality of reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, wherein the reactive power setting solutions comprise a reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG;Determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, photovoltaic system, energy storage unit, and SVG and characterized by each reactive power control solution, wherein the evaluation result is used to characterize the reactive power adjustment cost corresponding to the reactive power adjustment solution; selecting a target reactive power adjustment solution from among multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution, and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaic system, and energy storage unit according to the target reactive power adjustment solution.

[0007] Optionally, it is provided that the power prediction data of the wind turbine comprise an active power prediction value of the wind turbine, that the power prediction data of the photovoltaics comprise an active power prediction value of the photovoltaics, that the power data of the energy storage unit comprise an active power value of the energy storage unit, that the determination of the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit according to the power information of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, which comprises the following steps: Determining a maximum adjustable reactive power of the wind turbine according to the active power prediction value of the wind turbine and the nominal capacity of the wind turbine; Determining a maximum adjustable reactive power of the photovoltaics according to the active power prediction value of the photovoltaics and a nominal capacity of the photovoltaics; Determining a maximum adjustable reactive power of the energy storage unit according to the active power prediction value of the energy storage unit and the nominal capacity of the energy storage unit.

[0008] Optionally, it is provided that determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG and characterized by each reactive power control solution, comprising: determining the equivalent economic benefit of the reactive power adjustment solution according to the reactive power and the active power corresponding to the wind turbine, the photovoltaic system and the energy storage unit characterized by the reactive power adjustment solution for each of the reactive power adjustment solutions;

[0009] The evaluation result of the reactive power adjustment solution is determined based on the predefined evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power output of the SVG, and the network loss corresponding to the integrated field station for the wind turbine, photovoltaics, and energy storage unit. Optionally, the determination of the equivalent economic benefit of the reactive power adjustment solution according to the reactive power output and the active power output corresponding to the wind turbine, photovoltaics, and energy storage unit characterized by the reactive power adjustment solution comprises the following steps: Calculate the equivalent economic benefit of the reactive power control solution according to the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery

[0010] Where P replace represents the equivalent economic benefit of the reactive power adjustment solution, Q wind represents the reactive power of the wind turbine, Q PV represents the reactive power of the photovoltaic system, Q battery represents the reactive power of the energy storage unit, k 1 represents the conversion coefficient of the reactive power to the SVG cost, and k 2 represents the conversion coefficient of the SVG cost to the active power;

[0011] Optionally, determining the evaluation result of the reactive power adjustment solution based on the preset evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit comprises the following steps: Determining an evaluation result of the reactive power adjustment solution based on the following evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic and the energy storage unit; f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max

[0012] Where, f (Q wind , Q PV , Q battery , Q SVG ) represents the evaluation result of the reactive power adjustment solution, P loss_group represents the network loss corresponding to the integrated field station for the wind turbine, photovoltaics and energy storage unit, Q SVG represents the reactive power capacity of the SVG, λ 1 represents the displacement coefficient of the reactive power capacity of the SVG, λ 2 represents the weight coefficient of the reactive power capacity of the SVG, P wind represents the active power capacity of the wind turbine, P PV represents the active power capacity of the photovoltaics, P battery represents the active power capacity of the energy storage unit, S wind_N represents the rated capacity of the wind turbine, S PV_N represents the rated capacity of the photovoltaics, S battery_N represents the rated capacity of the energy storage unit and Q SVG_max represents the maximum adjustable reactive power of the SVG.

[0013] Optionally, the method also includes the following steps: determining a network loss corresponding to the integrated field station for the wind turbine, the photovoltaics and the energy storage unit according to the following formula: P loss_group = ∑ i = 1 N T G Ti U i 2 + ∑ j = 1 N L R j P j 2 + Q j 2 U j 2

[0014] Where NT represents the total number of transformers of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, NL represents the total number of collector lines of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, G Ti represents the conductivity of the i-th transformer, U i represents the voltage of the node in which the i-th transformer is located, R j represents the resistance of the j-line, U j represents the voltage of the destination node on the j-line, P j represents the active power injected by the destination node and Q j represents the reactive power injected by the destination node.

[0015] Optionally, it is provided that determining several reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, which comprises the following steps: Determining a set of initial reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit and the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit; Determining a network loss corresponding to each initial reactive power setting solution in the set of initial reactive power setting solutions; Selecting multiple reactive power setting solutions in a set of initial reactive power setting solutions according to the network loss corresponding to each of the initial reactive power setting solutions.

[0016] According to the second aspect of the present application, a device for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic and an energy storage unit is provided, comprising: a detection module for detecting performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information includes the power prediction data of the wind turbine, the power prediction data of the photovoltaic system, and the power data of the energy storage unit; a first determination module for determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit;a second determination module for determining a plurality of reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit, and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the reactive power setting solutions include a reactive power corresponding to the wind turbine, the photovoltaic system, the energy storage unit, and the SVG;An evaluation module for determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, photovoltaics, energy storage unit, and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used to characterize the reactive power adjustment cost corresponding to the reactive power adjustment solution; An adjustment module for selecting the target reactive power adjustment solution from among multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaics, and energy storage units according to the target reactive power adjustment solution.

[0017] Optionally, it is provided that the power prediction data of the wind turbine includes an active power prediction value of the wind turbine, that the power prediction data of the photovoltaics includes an active power prediction value of the photovoltaics, that the power data of the energy storage unit includes an active power value of the energy storage unit, that the first determination module is specifically used for: Determining a maximum adjustable reactive power of the wind turbine according to the active power prediction value of the wind turbine and the nominal capacity of the wind turbine; Determining a maximum adjustable reactive power of the photovoltaics according to the active power prediction value of the photovoltaics and a nominal capacity of the photovoltaics; Determining a maximum adjustable reactive power of the energy storage unit according to the active power prediction value of the energy storage unit and the nominal capacity of the energy storage unit. Optionally, the evaluation module is specifically used for: Determining the equivalent economic benefit of the reactive power adjustment solution according to the reactive power and the active power corresponding to the wind turbine, the photovoltaics, and the energy storage unit characterized by the reactive power adjustment solution for each of the reactive power adjustment solutions;

[0018] The evaluation result of the reactive power adjustment solution is determined based on the predefined evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power capacity of the SVG, and the network loss corresponding to the integrated field station for the wind turbine, photovoltaic system, and energy storage unit. Alternatively, the evaluation module is specifically designed to calculate the equivalent economic benefit of the reactive power adjustment solution according to the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery

[0019] Where P replace represents the equivalent economic benefit of the reactive power adjustment solution, Q wind represents the reactive power of the wind turbine, Q PV represents the reactive power of the photovoltaic system, Q battery represents the reactive power of the energy storage unit, k 1 represents the conversion coefficient of the reactive power to the SVG cost, and k 2 represents the conversion coefficient of the SVG cost to the active power;

[0020] Optionally, the evaluation module is specifically intended to: determine an evaluation result of the reactive power adjustment solution based on the following evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic and the energy storage unit; f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max

[0021] Where, f (Q wind , Q PV , Q battery , Q SVG ) represents the evaluation result of the reactive power adjustment solution, P loss_group represents the network loss corresponding to the integrated field station for the wind turbine, photovoltaics and energy storage unit, Q SVG represents the reactive power capacity of the SVG, λ 1 represents the displacement coefficient of the reactive power capacity of the SVG, λ 2 represents the weight coefficient of the reactive power capacity of the SVG, P wind represents the active power capacity of the wind turbine, P PV represents the active power capacity of the photovoltaics, P battery represents the active power capacity of the energy storage unit, S wind_N represents the rated capacity of the wind turbine, S PV_N represents the rated capacity of the photovoltaics, S battery_N represents the rated capacity of the energy storage unit and Q SVG_max represents the maximum adjustable reactive power of the SVG.

[0022] Optionally, the device also comprises the following components: a network loss determination module for determining the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit according to the following formula: P loss_group = ∑ i = 1 N T G Ti U i 2 + ∑ j = 1 N L R j P j 2 + Q j 2 U j 2

[0023] Where NT represents the total number of transformers of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, NL represents the total number of collector lines of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, Gri represents the conductivity of the i-th transformer, U i represents the voltage of the node in which the i-th transformer is located, R j represents the resistance of the j-line, U j represents the voltage of the destination node on the j-line, P j represents the active power injected by the destination node and Q j represents the reactive power injected by the destination node.

[0024] Optionally, the second determination module is used specifically for: Determining a set of initial reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit and the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit; Determining a network loss corresponding to each initial reactive power setting solution in the set of initial reactive power setting solutions; Selecting multiple reactive power setting solutions in a set of initial reactive power setting solutions according to the network loss corresponding to each of the initial reactive power setting solutions.According to the third aspect of the present application, electronic equipment is provided, comprising at least one processor and a memory, the memory storing a computer execution instruction, the at least one processor executing the computer execution instruction stored in the memory, so that the at least one processor carries out the method according to the first aspect and according to various possible embodiments of the first aspect.

[0025] According to the fourth aspect of the present application, a computer-readable storage medium is provided, wherein computer execution instructions are stored in the computer-readable storage medium, whereby a method according to the first aspect and according to various possible embodiments of the first aspect is carried out when the processor executes the computer execution instruction.

[0026] The technical solution of the present application has the following advantages: The present application provides a method, a device, and electronic equipment for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit, comprising the following steps: acquiring performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information includes the performance prediction data of the wind turbine, the performance prediction data of the photovoltaic system, and the performance data of the energy storage unit; determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine,the photovoltaics and the energy storage unit; determining a plurality of reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, wherein the reactive power adjustment solutions comprise a reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG; determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used,to characterize the reactive power adjustment costs corresponding to the reactive power adjustment solution; an adjustment module for selecting the target reactive power adjustment solution from multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaics, and energy storage units according to the target reactive power adjustment solution. The method according to the above solution is a reactive power adjustment method provided for this application scenario of the integrated field station for the wind turbine, photovoltaics, and energy storage units. By coordinating the reactive power performance of wind turbines, photovoltaics, energy storage units, and SVG with the aim of reducing reactive power adjustment costs, the reactive power adjustment capability of the wind turbine,the photovoltaic and energy storage units are fully utilized, thereby reducing the reactive power adjustment costs while ensuring the reactive power adjustment effect of the integrated field station for the wind turbine, photovoltaics, and energy storage units. Brief description of the drawings

[0027] In order to more clearly describe the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings based on these drawings. Fig. 1is a schematic diagram of a structure of a reactive power adjustment system of an integrated field station for a wind turbine, a photovoltaic, and an energy storage unit according to an embodiment of the present application; Fig. 2 is a schematic flow diagram of a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic and an energy storage unit according to an embodiment of the present application; Fig. 3 is a schematic diagram of a structure of a reactive power adjustment device of an integrated field station for a wind turbine, a photovoltaic, and an energy storage unit according to an embodiment of the present application; Fig. 4 is a schematic diagram of a structure of electronic equipment according to an embodiment of the present application.

[0028] Specific embodiments of the present application have been shown by the above drawings, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the disclosed concept in any way, but rather to illustrate the concept of the present application to those skilled in the art by reference to specific embodiments. Description of the preferred embodiments

[0029] In order to clarify the purpose, technical solution, and advantages of the embodiments of the present application, the technical solution in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments and not all embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by one skilled in the art without creative work fall within the scope of the present application.

[0030] Furthermore, the terms "first," "second," and so on are used for descriptive purposes only and should not be understood to indicate or imply relative importance or to imply the number of specified technical features. In the description of the following embodiments, the meaning of "multiple" is more than two unless expressly and specifically defined otherwise.

[0031] With the rapid increase in the single-machine capacity and the number of grid connections of wind turbines and photovoltaic systems, the problem of reactive power distribution in the power system has become more complex. Currently, the single-machine capacity and the number of units of large-scale onshore wind farm stations have significantly improved compared to the past. Doubly fed induction wind turbines with a single-machine capacity of up to 5.5 MW have also been gradually put into operation in some areas.

[0032] Most existing reactive power control technologies only perform reactive power optimization for large-scale wind farm stations (groups) and do not include reactive power optimization for onshore field stations (groups) for a wind turbine, a photovoltaic system, and an energy storage unit. Furthermore, reactive power optimization of the wind turbine does not consider coordination with other reactive power compensation devices in the field station (group) and the optimization of investment and operating costs, which severely limits these optimization algorithms. To illustrate the technical problems solved in this application, the following analysis is performed: (1) At present, the newly built integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit is generally a large-capacity cluster grid connection and has the characteristics of larger single-machine capacity and wider ground area, so the collector line of the field station (group) has a longer length and a more complicated topology. (2) In order to suppress and manage the influence of the volatility, randomness, and intermittent nature of the new energy output on the operation stability of the field station (group), most of the large-capacity energy storage units and reactive power compensation devices SVG are arranged in the integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit.However, the current state of the art does not improve the operating economics of the field station through coordinated optimization control from the perspective of reactive power optimization and wind turbine and photovoltaic power prediction. (3) The integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit is equipped with power generation units for a wind turbine, a photovoltaic system, and a large-capacity energy storage unit. The common feature is that the power electronic converter is connected to the grid, so that continuous reactive power adjustment can be achieved by the power control system, which has a beneficial effect on the local reactive power balancing of the field station (group).However, the control coordination of the three is very complicated, and it is also necessary to consider the coordination relationship of commonly used reactive power compensation devices such as SVG, which poses a great challenge for the reactive power adjustment of the integrated field station for wind turbines, photovoltaics, and energy storage units. (4) Most reactive power optimization methods for wind farm stations are only optimized for grid losses and have not been improved according to the characteristics of the current new energy field stations (groups), and are no longer applicable.

[0033] With regard to reactive power optimization of a large-scale integrated onshore field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit, the reactive power adjustment means, reactive power optimization targets, and reactive power optimization methods of the field station (group) must be considered separately. These aspects are explained below.

[0034] First, in the large-scale integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit, the wind turbines, photovoltaic systems, energy storage units, and step-up transformers of the field stations (groups) can participate in reactive power adjustment, so the reactive power adjustment mechanism of the wind turbine, photovoltaic systems, energy storage units, and the SVG is the same. That is, the reactive power output by the converter is controlled by power electronic technology, so that the inductive reactive power or the capacitive reactive power output by the converter is controlled according to requirements, and the reactive power can be continuously adjusted within a certain range.In contrast, adjusting the boost transformer branch only changes the reactive power distribution of the regional power grid, which cannot supply reactive power. Due to the intermittent adjustment of the branch and the high adjustment costs, the reactive power optimization effect within the field station (group) is very limited. Therefore, the influence of the boost transformer branch is not considered for the reactive power optimization of a large-scale integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit.

[0035] However, due to the uncertainty of the output power of wind turbines and photovoltaics, reactive power adjustment has great limitations. When the active power of the wind turbine and photovoltaics is large, the corresponding reactive power adjustment capability is low. When the power of the wind turbine and photovoltaics is small, the corresponding reactive power adjustment capability is large. The main role of the energy storage in the integrated field station (group) for a wind turbine, a photovoltaic, and an energy storage unit is to achieve active power balance, so excessive participation in reactive power will affect the active power adjustment. As a power electronic device with reactive power compensation as the main control goal, SVG can achieve continuous reactive power adjustment.However, the high cost limits its application in new power systems with new energy as the main component in the future. In summary, the reactive power optimization of the integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit must comprehensively consider the advantages and disadvantages of the above-mentioned reactive power adjustment equipment for coordinated optimization control.

[0036] Second, the goal of traditional reactive power optimization is to achieve the lowest active grid loss. However, the large-scale integrated field station (group) for a wind turbine, a photovoltaic system, and an energy storage unit differs greatly from conventional power plants and even regional power systems in terms of energy input form, grid connection method, and topology. Therefore, based on the lowest active grid loss, it can be considered that the investment cost can be converted into electricity, so that the reactive power adjustment cost can be integrated into the reactive power optimization objective through additional weights.

[0037] In view of the above problems, according to the embodiments of the present application, a method, a device, and an electronic equipment for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit are provided, comprising the following steps: acquiring performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information includes the performance prediction data of the wind turbine, the performance prediction data of the photovoltaic system, and the performance data of the energy storage unit; determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine,the photovoltaics and the energy storage unit; determining a plurality of reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, wherein the reactive power adjustment solutions comprise a reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG; determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used,to characterize the reactive power adjustment costs corresponding to the reactive power adjustment solution; an adjustment module for selecting the target reactive power adjustment solution from multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaics, and energy storage units according to the target reactive power adjustment solution. The method according to the above solution is a reactive power adjustment method provided for this application scenario of the integrated field station for the wind turbine, photovoltaics, and energy storage units. By coordinating the reactive power performance of wind turbines, photovoltaics, energy storage units, and SVG with the aim of reducing reactive power adjustment costs, the reactive power adjustment capability of the wind turbine,the photovoltaic and energy storage units are fully utilized, thereby reducing the reactive power adjustment costs while ensuring the reactive power adjustment effect of the integrated field station for the wind turbine, photovoltaics, and energy storage units.

[0038] The following specific embodiments may be combined with each other, so that the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application are described below in conjunction with the drawings.

[0039] First, the structure of the reactive power adjustment system of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit according to the present application is described. According to the embodiments of the present application, a method, an apparatus, and an electronic equipment for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit are provided, which are suitable for the reactive power optimization adjustment of the large-scale integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit.

[0040] Fig. 1is a schematic diagram of a structure of a reactive power adjustment system of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to an embodiment of the present application, which mainly includes an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit, a data collection device, and a reactive power adjustment device of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit. Specifically, the power information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit can be collected by the data collection device, and the collected data can be sent to the reactive power adjustment device of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit.The reactive power adjustment device of the integrated field station for wind turbine, photovoltaic, and energy storage unit determines the target reactive power adjustment solution for the integrated field station for wind turbine, photovoltaic, and energy storage unit according to the obtained data and the preset relevant information, and performs corresponding reactive power adjustment at the integrated field station for wind turbine, photovoltaic, and energy storage unit according to the target reactive power adjustment solution.

[0041] According to the embodiments of the present application, a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit is provided for performing reactive power optimization adjustment for a large-scale integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit. The embodiment of the embodiment of the present application is electronic equipment, such as a server, a desktop computer, a laptop, a tablet, and other electronic devices, that can be used to perform reactive power adjustment control at the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit. Fig. 2is a schematic flow diagram of a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit according to an embodiment of the present application, comprising the following steps: Step 201: Acquiring power information of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit.

[0042] Wherein the performance information of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit includes performance prediction data of the wind turbine, performance prediction data of the photovoltaics and performance data of the energy storage unit.

[0043] It should be noted that the wind turbine power prediction data and the photovoltaic power prediction data may include the active power prediction values ​​of the wind turbine and photovoltaic for a certain period in the future, so that the active power performance of the wind turbine and photovoltaic for a certain period in the future can be characterized.

[0044] Step 202: Determine the maximum adjustable reactive power of the wind turbine, photovoltaics and energy storage unit according to the power information of the integrated field station for the wind turbine, photovoltaics and energy storage unit.

[0045] It should be noted that the greater the active power output of the wind turbine, photovoltaics and energy storage unit, the less reactive power can be output.

[0046] Specifically, the maximum adjustable reactive power of the wind turbine, photovoltaics, and energy storage unit can be derived according to the active power efficiency of the wind turbine, photovoltaics, and energy storage unit, which are characterized by the power information of the integrated field station for the wind turbine, photovoltaics, and energy storage unit. Step 203: Determine multiple reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, photovoltaics, and energy storage unit, and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, photovoltaics, and energy storage unit.

[0047] Wherein the reactive power adjustment solutions include reactive power corresponding with the wind turbine, photovoltaic, energy storage unit and SVG, so that the maximum adjustable reactive power of the SVG can be determined according to the comprehensive evaluation results of various factors such as the installed capacity of the field station, the ratio of wind turbine, photovoltaic and energy storage unit and the reactive power adjustment requirement.

[0048] It should be noted that the selection of constraints can be divided into equality constraints and inequality constraints. The equality constraint is the preset power flow equation that the integrated field station satisfies for a wind turbine, a photovoltaic system, and an energy storage unit: P m − U m ∑ n = 1 N U n G mn cosδ mn + B mn sinδ mn = 0 Q m − U m ∑ n = 1 N U n G mn sinδ mn + B mn cosδ mn = 0

[0049] Where Pm represents the active power injected by node m in the integrated field station for wind turbine, photovoltaics and energy storage unit, Qm represents the reactive power injected by node m, N represents the total set of nodes included in the integrated field station for wind turbine, photovoltaics and energy storage unit, and is also the total set of branches of the integrated field station for wind turbine, photovoltaics and energy storage unit, Um represents the voltage amplitude of node m, Un represents the voltage amplitude of node n in the integrated field station for wind turbine, photovoltaics and energy storage unit, Gmn represents the conductance between node m and node n, Bmn represents the acceptance between node m and node n and δmn represents the phase angle difference between node m and node n.

[0050] Inequality constraints include upper and lower limit constraints for the power of each wind turbine, each photovoltaic and each energy storage unit, upper and lower limit constraints for the node voltage and upper and lower limit constraints for the reactive power of the reactive power compensation device SVG: P wind_min ≤ P wind ≤ P wind_max Q wind_min ≤ Q wind ≤ Q wind_max P PV_min ≤ P PV ≤ P PV_max Q PV_min ≤ Q PV ≤ Q PV_max P battery_min ≤ P battery ≤ P battery_max Q battery_min ≤ Q battery ≤ Q battery_max Q SVG_min ≤ Q SVG ≤ Q SVG_max

[0051] Where P wind_min represents the minimum active power of the wind turbine, P wind_max represents the maximum active power of the wind turbine, Q wind_min represents the minimum reactive power of the wind turbine, Q wind_max represents the maximum reactive power of the wind turbine, P PV_min represents the minimum active power of the photovoltaics, P PV_max represents the maximum active power of the photovoltaics, Q PV_min represents the minimum reactive power of the photovoltaics, Q PV_max represents the maximum reactive power of the photovoltaics, P battery_min represents the minimum active power of the energy storage unit, P battery_max represents the maximum active power of the energy storage unit, Q battery_min represents the minimum reactive power of the energy storage unit, Q battery_max represents the maximum reactive power of the energy storage unit,Q SVG_min represents the minimum reactive power of the SVG, and Q SVG_max represents the maximum reactive power of the SVG. The maximum reactive power of the wind turbine, photovoltaics, energy storage unit, and SVG is the above-mentioned maximum adjustable reactive power, which can be determined based on the above-mentioned design example. The maximum active power can be inversely derived based on the maximum reactive power. The minimum reactive power and the minimum active power can be determined according to the basic operating requirements of the integrated field station for the wind turbine, photovoltaics, and energy storage unit.

[0052] Step 204: Determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaic system, the energy storage unit, and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used to characterize the reactive power adjustment cost corresponding to the reactive power adjustment solution.

[0053] Specifically, after formulating multiple reactive power adjustment solutions based on the above embodiments, the active power performance corresponding to the wind turbine, photovoltaics, and energy storage units can be determined based on the reactive power performance of the wind turbine, the reactive power performance of the photovoltaics, the reactive power performance of the energy storage units, and the reactive power performance of the SVG guided by each reactive power adjustment solution. According to the active power performance and reactive power performance of each equipment, the reactive power adjustment cost corresponding to each reactive power adjustment solution is analyzed to obtain the evaluation results of each reactive power adjustment solution.

[0054] Step 205: Selecting a target reactive power adjustment solution among multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution, and performing reactive power adjustment at the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit according to the target reactive power adjustment solution.

[0055] In particular, according to the reactive power adjustment cost characterized by the evaluation results of each reactive power adjustment solution, the reactive power adjustment solution with the lowest reactive power adjustment cost can be determined as the target reactive power adjustment solution to reduce the reactive power adjustment cost of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit.

[0056] Based on the above embodiment, it is provided that the power prediction data of the wind turbine include an active power prediction value of the wind turbine, that the power prediction data of the photovoltaics include an active power prediction value of the photovoltaics, and that the power data of the energy storage unit include an active power value of the energy storage unit. As an implementable manner, it is provided in one embodiment that the determination of the maximum adjustable reactive power of the wind turbine, the photovoltaics, and the energy storage unit is carried out according to the power information of the integrated field station for the wind turbine, the photovoltaics, and the energy storage unit, comprising: Step 2021: Determine a maximum adjustable reactive power of the wind turbine according to the active power prediction value of the wind turbine and the nominal capacity of the wind turbine; Step 2022: Determine a maximum adjustable reactive power of the photovoltaic system according to the active power prediction value of the photovoltaic system and a nominal capacity of the photovoltaic system; Step 2023: Determine a maximum adjustable reactive power of the energy storage unit according to the active power prediction value of the energy storage unit and the nominal capacity of the energy storage unit. In particular, the maximum adjustable reactive power Q wind_max of the wind turbine can be determined according to the following formula: Q wind_max = a × S wind_N 2 − b × P wind_predict 2

[0057] Where S wind_N represents the rated capacity of the wind turbine, and P wind_predict represents the active power prediction value of the wind turbine. Since there may be a certain error in the power prediction of wind turbine and photovoltaic power, the actual power value can be estimated according to the prediction value according to the error of 20%, that is, the error compensation coefficient b = 1 + 20% = 1.2. Since the capacity of the converter on the grid side of the doubly fed onshore wind turbine is generally 30% of the capacity of the wind turbine, the adjustable reactive power of the wind turbine is only 30% of the calculated reactive power value, that is, the weight coefficient a = 30%.

[0058] Furthermore, the maximum adjustable reactive power Q PV_max of the photovoltaics can be determined according to the following formula: Q PV_max = S PV_N 2 − 1.2 × P PV_predict 2

[0059] Where S PV_N represents the nominal capacity of the photovoltaic system and P PV_predict represents the active power prediction value of the photovoltaic system.

[0060] Furthermore, the maximum adjustable reactive power Q battery_max of the energy storage unit can be determined according to the following formula: Q battery_max = S battery_N 2 − P battery_predict 2

[0061] Where S battery_N represents the rated capacity of the energy storage unit, and P battery_predict represents the active power prediction value of the energy storage unit. The active power of the energy storage unit can generally be accurately determined and is mainly used to achieve functions such as smoothing, peaking, and primary frequency modulation of wind turbine and photovoltaic power prediction.

[0062] Based on the above example, the simplified method of equating a new power field station to a PQ node is no longer applicable, because the increase in the single-machine capacity of the wind turbine and photovoltaic power plants leads to an increase in the reactive power loss of the step-up transformer and cable. Furthermore, with the rapid increase in the installed capacity of wind farm stations and photovoltaic power plants, the length of the collector lines within the new power field station also increases, so the corresponding reactive power loss further increases. Therefore, the reactive power optimization method that considers the internal structure of the new electric power field and collector line has become an important topic in current research.

[0063] As an implementable manner, in an embodiment based on the above embodiment, it is provided that determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG and characterized by each reactive power control solution, comprising: Step 2041: Determine the equivalent economic benefit of the reactive power adjustment solution according to the reactive power and active power corresponding to the wind turbine, photovoltaic, and energy storage unit characterized by the reactive power adjustment solution for each of the reactive power adjustment solutions; Step 2042: Determine the evaluation result of the reactive power adjustment solution based on the preset evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power of the SVG, and the network loss corresponding to the integrated field station for the wind turbine, photovoltaic, and energy storage unit.

[0064] It should be noted that the equivalent economic benefit of the reactive power control solution mainly refers to the equivalent economic benefits generated by replacing part of the SVG capacity with wind turbines, photovoltaics, and energy storage units. Specifically, in one embodiment, the equivalent economic benefit of the reactive power control solution can be calculated according to the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery

[0065] Where P replace represents the equivalent economic benefit of the reactive power adjustment solution, Q wind represents the reactive power of the wind turbine, Q PV represents the reactive power of the photovoltaic system, Q battery represents the reactive power of the energy storage unit, k 1 represents the conversion coefficient of the reactive power to the SVG cost, and k 2 represents the conversion coefficient of the SVG cost to the active power;

[0066] Furthermore, in one embodiment, it is provided that determining an evaluation result of the reactive power adjustment solution based on the following evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic and the energy storage unit: f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max

[0067] Where, f (Q wind , Q PV , Q battery , Q SVG ) represents the evaluation result of the reactive power adjustment solution, P loss_group represents the network loss corresponding to the integrated field station for the wind turbine, photovoltaics and energy storage unit, Q SVG represents the reactive power capacity of the SVG, λ 1 represents the displacement coefficient of the reactive power capacity of the SVG, λ 2 represents the weight coefficient of the reactive power capacity of the SVG, P wind represents the active power capacity of the wind turbine, P PV represents the active power capacity of the photovoltaics, P battery represents the active power capacity of the energy storage unit, S wind_N represents the rated capacity of the wind turbine, S PV_N represents the rated capacity of the photovoltaics, S battery_N represents the rated capacity of the energy storage unit and Q SVG_max represents the maximum adjustable reactive power of the SVG.

[0068] It should be noted that most new energy field stations are currently equipped with SVG, which has the advantage of fast bidirectional continuous reactive power adjustment capability and the disadvantage of high construction cost. Since the reactive power adjustment mechanism of the wind turbine, photovoltaics, and energy storage unit is similar to the SVG, the capacity of the SVG configuration can be reduced based on the constraints provided by the above embodiment, thereby reducing the construction cost. However, since the wind turbine, photovoltaics, and energy storage unit are mainly used for active power generation, providing reactive power support in the case of large or even full active power capacity for the wind turbine and photovoltaics will correspondingly lose part of the active power capacity.Therefore, it is necessary to comprehensively consider the reactive power performance costs of the three and conduct coordinated optimization control. Therefore, it is necessary to estimate the reactive power adjustment cost in combination with the power forecast data of the wind turbine and photovoltaic systems. In particular, in the case of large or even full active power for wind turbines and photovoltaic systems, the adjustable reactive power of the wind turbine and photovoltaic systems may be small. Therefore, the focus in this case is on substituting energy storage units for SVG. Since the structure of the converter on the grid side of the energy storage unit is the same as that of SVG, it can be approximated that the reactive power adjustment capability of the two is the same.

[0069] It should be noted that the definition of λ 1 and λ 2 mainly considers the sharing of the reactive power adjustment pressure of SVG by increasing the reactive power adjustment capability of wind turbines, photovoltaics, and energy storage units, thereby reducing the voltage adjustment cost of the field station. From the above formula, it can be seen that the larger the actual reactive power of the wind turbine, photovoltaics, and energy storage unit, that is, the larger the reactive power capacity of the wind turbine, photovoltaics, and energy storage unit, the larger λ 1 and λ 2 are. Since f (Q wind , Q PV , Q battery , Q SVG ) is a minimum value, the role of λ 1 and λ 2 during the optimization process is to limit the actual reactive power of the wind turbine, photovoltaics, and energy storage unit, that is,to ensure that reactive power is reduced in the event of high active power output from the wind turbine and photovoltaics.

[0070] Furthermore, in one embodiment, the network loss corresponding to the integrated field station for the wind turbine, the photovoltaics and the energy storage unit can be determined according to the following formula: P loss_group = ∑ i = 1 N T G Ti U i 2 + ∑ j = 1 N L R j P j 2 + Q j 2 U j 2

[0071] Where NT represents the total number of transformers of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, NL represents the total number of collector lines of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, G Ti represents the conductivity of the i-th transformer, U i represents the voltage of the node in which the i-th transformer is located, R j represents the resistance of the j-line, U j represents the voltage of the destination node on the j-line, P j represents the active power injected by the destination node and Q j represents the reactive power injected by the destination node.

[0072] It should be noted that network loss increases with the increase in the capacity and number of wind turbines, photovoltaic arrays, and energy storage units. On the one hand, each wind turbine, each photovoltaic array sequence, and the step-up transformer at the output of each energy storage unit generates network loss, so the increase in the number of transformers leads to an increase in network loss. On the other hand, the increase in the number of wind turbines and photovoltaic array sequences leads to an increase in the length of the collector line in the field station, and the use of cables greatly increases the network loss of the collector line.Therefore, compared with the reactive power optimization of conventional wind turbines, the setting target of the reactive power optimization of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit needs to include the network loss generated by the transformer and the collector line. Based on the above embodiment, the target reactive power setting solution can be quickly determined. As an implementable manner, it is provided in one embodiment that determining a plurality of reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, comprising the following steps: . Step 2031: Determine a plurality of reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit, and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit; Step 2032: Determine a network loss corresponding to each initial reactive power adjustment solution in the set of initial reactive power adjustment solutions; Step 2033: Select a plurality of reactive power adjustment solutions in a set of initial reactive power adjustment solutions according to the network loss corresponding to each of the initial reactive power adjustment solutions.

[0073] It should be noted that the network loss corresponding to each initial reactive power adjustment solution in the initial reactive power adjustment solution set can be calculated based on the above network loss calculation formula.

[0074] Specifically, an exhaustive method or the like may be used, e.g., determining a set of initial reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, photovoltaics, and energy storage unit, and the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, photovoltaics, and energy storage unit. Then, according to the network loss corresponding to each initial reactive power adjustment solution in the initial reactive power adjustment solution set, the initial reactive power adjustment solution set is roughly selected to select multiple reactive power adjustment solutions, which can finally be input into the calculation of the evaluation function.

[0075] For example, a reactive power adjustment solution with a network loss smaller than the preset network loss threshold may be selected in the initial reactive power adjustment solution set according to the magnitude of the network loss corresponding to each initial reactive power adjustment solution in the initial reactive power adjustment solution set. Or, according to the magnitude of the network loss corresponding to each initial reactive power adjustment solution, the initial reactive power adjustment solution in the initial reactive power adjustment solution set is sorted in ascending order to select the reactive power adjustment solution whose preset ratio is sorted in the initial reactive power adjustment solution set.In the case where the reactive power adjustment method of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to the embodiment of the present application is solved based on the immunogenetic algorithm, the reactive power adjustment solution in the initial reactive power adjustment solution set can be selected according to the initial population size N of the immunogenetic algorithm, wherein the initial population size N is generally determined according to the size of the actual example, so that a reactive power control solution that satisfies the initial population size N of the immunogenetic algorithm can be selected and sorted.

[0076] The reactive power adjustment method of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to the embodiment of the present application can be specifically solved based on the immunogenetic algorithm, that is, the calculation of the evaluation function is realized based on the immunogenetic algorithm, and the target reactive power adjustment solution is determined to perform the following adaptive configuration of the immunogenetic algorithm: (1) Coding: Since the equipment involved in reactive power adjustment in the field station can continuously adjust the reactive power output, the antibody is coded accordingly. The specific forms of the antibody gene are: A = wind 1 ⋯ N 1 , PV 1 ⋯ N 2 battery 1 ⋯ N 3 SVG 1 ⋯ N 4 Where N1, N2, N3, and N4 represent the number of wind turbines, photovoltaics, energy storage units, and SVG, respectively. (2) Selection of antibodies: There are a large number of power generation units for one wind turbine, one photovoltaic, and one energy storage unit in large-scale integrated field stations for one wind turbine, one photovoltaic, and one energy storage unit. According to the topology of the collector line in the field station, power generation units with similar electrical spacing are integrated according to a certain clustering principle, which reduces the complexity of the antibody and improves the optimization speed. For the wind turbine, all units on the same collector line are equivalent to one unit with the same capacity. For photovoltaics, it is necessary to divide the photovoltaic array, considering the actual connection method of the photovoltaic group sequence.For the energy storage unit, an energy storage box is generally a power generation unit, and the power generation unit involved in reactive power is directly used as an antibody. (3) Fitness function: The above evaluation function is used as the fitness function. (4) Adaptive improvement of cross operator, mutation operator, and immune selection: Since the reactive power adjustment principle of wind turbines, photovoltaics, energy storage units, and SVG is the same, it is not necessary to consider the differences in different gene sequence segments when mutating individual crosses.

[0077] The application process of the immunogenetic algorithm according to the embodiments of the present application is as follows: (1) Input of initial parameter values ​​for reactive power optimization: It mainly includes the population size (ie, the sum of the number of wind turbines, the number of photovoltaic and energy storage units, and the number of SVG equipment), the number of cloned cells, the cloning multiplier, the number of immune supplements, the initial cross-breeding rate, the initial mutation rate, the size of the vaccinated population, the accuracy requirements, and the maximum number of iterations. (2) According to the random number method, a uniformly distributed initial population is generated, and the fitness value of each antibody is calculated according to the above evaluation function. The reactive power adjustment commands of the wind turbine, photovoltaic, energy storage unit, and SVG that obtain the optimal reactive power optimization target (target reactive power adjustment solution) are selected as immune vaccines.The antibody with the highest affinity to the antigen is stored as a memory cell. The number of iterations is t=1. (3) Combined with the adaptive improvement strategy of the cross operator, the mutation operator, and immune selection according to the above embodiments, the calculation of the expected value, the selection and amplification of cloned cells, and the selection of crossovers, mutations, and immunity are performed according to the conventional method. (4) It is judged whether the maximum number of iterations has been reached. If it is satisfied, it ends; otherwise, it sets t=t+1 and jumps to step (3).

[0078] According to the embodiments of the present application, a method for adjusting the reactive power of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit is provided, comprising the following steps: Acquiring performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information includes the performance prediction data of the wind turbine, the performance prediction data of the photovoltaic system, and the performance data of the energy storage unit; Determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine,the photovoltaics and the energy storage unit; determining a plurality of reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaics and the energy storage unit and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, wherein the reactive power adjustment solutions comprise a reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG; determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, the photovoltaics, the energy storage unit and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used,to characterize the reactive power adjustment costs corresponding to the reactive power adjustment solution; selecting a target reactive power adjustment solution from among multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution, and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaics, and energy storage unit according to the target reactive power adjustment solution. The method according to the above solution is a reactive power adjustment method provided for this application scenario of the integrated field station for the wind turbine, photovoltaics, and energy storage unit. By coordinating the reactive power performance of wind turbines, photovoltaics, energy storage units, and SVG with the goal of reducing reactive power adjustment costs, the reactive power adjustment capability of the wind turbine,of the photovoltaic and energy storage unit, thereby reducing the reactive power adjustment cost, while ensuring the reactive power adjustment effect of the integrated field station for the wind turbine, photovoltaic and energy storage unit, which has high feasibility and cost-effectiveness in practical applications.

[0079] According to the embodiments of the present application, a device for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit is provided in order to carry out a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit according to the above embodiment.

[0080] Fig. 330 is a schematic diagram of a structure of a reactive power adjustment device for an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to an embodiment of the present application. The reactive power adjustment device 30 for an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit comprises a detection module 301, a first determination module 302, a second determination module 303, an evaluation module 304, and a setting module 305.

[0081] Wherein a detection module for detecting performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the performance information comprises the performance prediction data of the wind turbine, the performance prediction data of the photovoltaic system, and the performance data of the energy storage unit; a first determination module for determining the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit according to the performance information of the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit;a second determination module for determining a plurality of reactive power setting solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, the photovoltaic system, and the energy storage unit, and according to the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit, wherein the reactive power setting solutions include a reactive power corresponding to the wind turbine, the photovoltaic system, the energy storage unit, and the SVG;An evaluation module for determining an evaluation result of each reactive power adjustment solution based on a preset evaluation function and according to the reactive power corresponding to the wind turbine, photovoltaics, energy storage unit, and the SVG and characterized by each reactive power control solution, wherein the evaluation result is used to characterize the reactive power adjustment cost corresponding to the reactive power adjustment solution; An adjustment module for selecting the target reactive power adjustment solution from among multiple reactive power adjustment solutions according to the evaluation results of each reactive power adjustment solution and performing reactive power adjustment at the integrated field station for the wind turbine, photovoltaics, and energy storage units according to the target reactive power adjustment solution.

[0082] In particular, in one embodiment, it is provided that the power prediction data of the wind turbine comprise an active power prediction value of the wind turbine, that the power prediction data of the photovoltaics comprise an active power prediction value of the photovoltaics, that the power data of the energy storage unit comprise an active power value of the energy storage unit, that the first determination module is specifically used for: Determining a maximum adjustable reactive power of the wind turbine according to the active power prediction value of the wind turbine and the nominal capacity of the wind turbine; Determining a maximum adjustable reactive power of the photovoltaics according to the active power prediction value of the photovoltaics and a nominal capacity of the photovoltaics; Determining a maximum adjustable reactive power of the energy storage unit according to the active power prediction value of the energy storage unit and the nominal capacity of the energy storage unit.

[0083] In particular, one embodiment provides that the evaluation module is used specifically for: Determining the equivalent economic benefit of the reactive power adjustment solution according to the reactive power and active power corresponding to the wind turbine, photovoltaics, and energy storage unit characterized by the reactive power adjustment solution for each of the reactive power adjustment solutions; Determining the evaluation result of the reactive power adjustment solution based on the preset evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power of the SVG, and the network loss corresponding to the integrated field station for the wind turbine, photovoltaics, and energy storage unit. In particular, in one embodiment, the evaluation module is specifically used for: The equivalent economic benefit of the reactive power adjustment solution is calculated according to the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery Where P replace represents the equivalent economic benefit of the reactive power adjustment solution, Q wind represents the reactive power of the wind turbine, Q PV represents the reactive power of the photovoltaic system, Q battery represents the reactive power of the energy storage unit, k 1 represents the conversion coefficient of the reactive power to the SVG costs, and k 2 represents the conversion coefficient of the SVG costs to the active power; In particular, in one embodiment, the evaluation module is specifically used to: determine an evaluation result of the reactive power adjustment solution based on the following evaluation function and according to the equivalent economic benefit of the reactive power adjustment solution, the reactive power of the SVG, and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system, and the energy storage unit: f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max

[0084] Where, f (Q wind , Q PV , Q battery , Q SVG ) represents the evaluation result of the reactive power adjustment solution, P loss_group represents the network loss corresponding to the integrated field station for the wind turbine, photovoltaics and energy storage unit, Q SVG represents the reactive power capacity of the SVG, λ 1 represents the displacement coefficient of the reactive power capacity of the SVG, λ 2 represents the weight coefficient of the reactive power capacity of the SVG, P wind represents the active power capacity of the wind turbine, P PV represents the active power capacity of the photovoltaics, P battery represents the active power capacity of the energy storage unit, S wind_N represents the rated capacity of the wind turbine, S PV_N represents the rated capacity of the photovoltaics, S battery_N represents the rated capacity of the energy storage unit and Q SVG_max represents the maximum adjustable reactive power of the SVG.

[0085] In particular, in one embodiment, the device also comprises the following components: a network loss determination module for determining the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit according to the following formula: P loss_group = ∑ i = 1 N T G Ti U i 2 + ∑ j = 1 N L R j P j 2 + Q j 2 U j 2

[0086] Where NT represents the total number of transformers of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, NL represents the total number of collector lines of the integrated field station for the wind turbine, the photovoltaics and the energy storage unit, G Ti represents the conductivity of the i-th transformer, U i represents the voltage of the node in which the i-th transformer is located, R j represents the resistance of the j-line, U j represents the voltage of the destination node on the j-line, P j represents the active power injected by the destination node and Q j represents the reactive power injected by the destination node.

[0087] In particular, in one embodiment, it is provided that the second determination module is specifically used for: Determining a set of initial reactive power adjustment solutions based on preset constraints and according to the maximum adjustable reactive power of the wind turbine, photovoltaics, and energy storage unit and the maximum adjustable reactive power of the SVG in the integrated field station for the wind turbine, photovoltaics, and energy storage unit; Determining a network loss corresponding to each initial reactive power adjustment solution in the set of initial reactive power adjustment solutions;

[0088] Selecting multiple reactive power setting solutions in a set from the initial reactive power setting solutions according to the network loss corresponding to each of the initial reactive power setting solutions.

[0089] With respect to the reactive power adjustment apparatus of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit in the present embodiment, the specific method for carrying out the operation of each module in the embodiment of the method has been described in detail and will not be described in detail here.

[0090] According to the embodiments of the present application, a device for adjusting the reactive power of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit is provided to carry out a method for adjusting the reactive power of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to the above embodiment. The implementation is the same as the principle and will not be repeated.

[0091] According to the embodiments of the present application, electronic equipment is provided to carry out a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit according to the above embodiment.

[0092] Fig. 4 is a schematic diagram of a structure of electronic equipment according to an embodiment of the present application. The electronic equipment 40 includes at least a processor 41 and a memory 42.

[0093] That the memory stores a computer execution instruction, that the at least one processor executes the computer execution instruction stored in the memory, so that the at least one processor executes a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit according to the above embodiment.

[0094] According to the embodiments of the present application, electronic equipment is provided for implementing a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to the above embodiment. The implementation is the same as the principle and will not be repeated.

[0095] According to the embodiments of the present application, a computer-readable storage medium is provided, wherein computer execution instructions are stored in the computer-readable storage medium, whereby a method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to any of the above embodiments is executed when the processor executes the computer execution instruction.

[0096] The storage medium according to an embodiment of the present application, which contains a computer execution instruction, can be used to store a computer execution instruction of the method for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system, and an energy storage unit according to the above embodiment. The implementation is the same as the principle and will not be repeated.

[0097] In several embodiments according to the present application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, embodiments of the device described above are only schematic. For example, the division of the unit is only a logical division of functions, which may have a different type of division in the actual implementation. For example, several units or components may be combined or integrated into another system, or some features may be ignored or not implemented. At another point, the indicated or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices, or units, which may be electrical, mechanical, or in another form.

[0098] The unit described as a separating element may or may not be physically separate. The components displayed as units may or may not be physical units, meaning they may be located in one location or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in the present embodiment.

[0099] Additionally, in each embodiment of the present application, each functional unit may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented either in the form of hardware or as a functional unit of hardware and software.

[0100] The integrated unit described above, implemented in the form of a functional unit of the software, can be stored in a computer-readable storage medium. The functional unit of the software is stored in a storage medium and contains a plurality of instructions for performing some steps of the method according to various embodiments of the present application by a computing device (which may be a personal computer, a server, or a network device) or a processor. The storage media described above include a U disk, a portable hard disk, a read-only memory (ROM), a random access memory (RAM), a hard disk, or an optical disk capable of storing program code.

[0101] Those skilled in the art will clearly understand that, for convenience and simplicity of description, the division of the above functional modules is only exemplary. In practical applications, the above functions can be assigned by different functional modules as needed. The internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above may refer to the corresponding process in the embodiment of the above method and will not be repeated here. Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, rather than to limit it.Notwithstanding the detailed description of the present application with reference to the above embodiments, it should be understood that one of ordinary skill in the art may still modify the technical solutions described in the above embodiments or substitute some or all of these technical features with equivalents. These modifications or substitutions do not deviate the essence of the corresponding technical solution from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for adjusting the reactive power of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit, characterised in that the method comprises the following steps: capturing power information (201) of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, wherein the power information comprises the power prediction data of the wind turbine, the power prediction data of the photovoltaic system and the power data of the energy storage unit; determining the maximum settable reactive power (202) of the wind turbine, of the photovoltaic system and of the energy storage unit in accordance with the power information of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit; determining a plurality of reactive power setting solutions (203) on the basis of preset restrictions and in accordance with the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit and in accordance with the maximum settable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, wherein the reactive power setting solutions comprise a reactive power performance corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG; determining an evaluation result (204) of each reactive power setting solution on the basis of a preset assessment function and in accordance with the reactive power performance corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG and characterised by each reactive power control solution, wherein the evaluation result is used to characterise the reactive power setting costs corresponding to the reactive power setting solution; selecting a target reactive power setting solution from a plurality of reactive power setting solutions (205) in accordance with the evaluation results of each reactive power setting solution and carrying out a reactive power adjustment at the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit in accordance with the target reactive power setting solution; wherein the determination of an evaluation result of each reactive power setting solution (204) on the basis of a preset evaluation function and in accordance with the reactive power performance corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG and characterised by each reactive power control solution comprises the following steps: determining the equivalent economical use of the reactive power setting solution in accordance with the reactive power performance and the active power performance corresponding to the wind turbine, the photovoltaic system and the energy storage unit, which are characterised by the reactive power setting solution for each of the reactive power setting solutions; in that the determination of the evaluation result of the reactive power setting solution (204) on the basis of the preset evaluation function and in accordance with the equivalent economical use of the reactive power setting solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit; in that the determination of the equivalent economical use of the reactive power setting solution in accordance with the reactive power performance and the active power performance corresponding to the wind turbine, the photovoltaic system and the energy storage unit, which are characterised by the reactive power setting solution, comprises the following steps: calculating the equivalent economical use of the reactive power setting solution in accordance with the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery where Preplace represents the equivalent economical use of the reactive power setting solution, Qwind represents the reactive power performance of the wind turbine, QPV represents the reactive power performance of the photovoltaic system, Qbattery represents the reactive power performance of the energy storage unit, k1 represents the conversion coefficient of the reactive power performance to the SVG costs, and k2 represents the conversion coefficient of the SVG costs to the active power performance, in that the determination of the evaluation result of the reactive power setting solution (204) on the basis of the preset evaluation function and in accordance with the equivalent economical use of the reactive power setting solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, comprises the following steps: determining an evaluation result of the reactive power setting solution on the basis of the following evaluation function and in accordance with the equivalent economical use of the reactive power setting solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage system; f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max where f(Qwind, QPV, Qbattery, QSVG) represents the evaluation result of the reactive power setting solution, Ploss_group represents the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, QSVG represents the reactive power performance of the SVG, λ1 represents the displacement coefficient of the reactive power capacity of the SVG, λ2 represents the weighting coefficient of the reactive power performance of the SVG, Pwind represents the active power performance of the wind turbine, PPV represents the active power performance of the photovoltaic system, Pbattery represents the active power performance of the energy storage unit, Swind_N represents the nominal capacity of the wind turbine, SPV_N represents the nominal capacity of the photovoltaic system, Sbattery_N represents the nominal capacity of the energy storage unit and QSVG_max represents the maximum settable reactive power of the SVG.

2. The method according to claim 1, characterised in that the power prediction data of the wind turbine comprise an active power performance prediction value of the wind turbine, in that the power prediction data of the photovoltaic system comprise an active power performance prediction value of the photovoltaic system, in that the power data of the energy storage unit comprise an active power performance value of the energy storage unit, in that the determination of the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit in accordance with the power information of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit comprises the following steps: determining a maximum settable reactive power of the wind turbine in accordance with the active power performance prediction value of the wind turbine and the nominal capacity of the wind turbine; determining a maximum settable reactive power of the photovoltaic system in accordance with the active power performance prediction value of the photovoltaic system and a nominal capacity of the photovoltaic system; determining a maximum settable reactive power of the energy storage unit in accordance with the active power performance prediction value of the energy storage unit and the nominal capacity of the energy storage unit.

3. The method according to claim 1, characterised in that the method also comprises the following steps: determining a network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit in accordance with the following formula: P loss_group ∑ i = 1 N T G Ti U i 2 + ∑ j = 1 N L R j P j 2 + Q j 2 U j 2 where NT represents the total amount of transformers of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, NL represents the total amount of collector lines of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, GTi represents the conductivity of the i-th transformer, Ui represents the voltage of the node in which the i-th transformer is located, Rj represents the resistance of the j-line, Uj represents the voltage of the target node on the j-line, Pj represents the active power injected from the target node, and Qj represents the reactive power injected from the target node.

4. The method according to claim 3, characterised in that the determination of a plurality of reactive power setting solutions (203) on the basis of preset restrictions and in accordance with the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit and in accordance with the maximum settable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit comprises the following steps: determining a set of the initial reactive power setting solutions on the basis of the preset restrictions and in accordance with the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit and the maximum settable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit; determining a network loss corresponding to each initial reactive power setting solution in the set of the initial reactive power setting solutions; selecting a plurality of reactive power setting solutions in a set of the initial reactive power setting solutions in accordance with the network loss corresponding to each of the initial reactive power setting solutions.

5. A device for reactive power adjustment of an integrated field station for a wind turbine, a photovoltaic system and an energy storage unit, characterised in that it comprises the following components: a detection module (301) for detecting power information of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, wherein the power information comprises the power prediction data of the wind turbine, the power prediction information of the photovoltaic system and the power data of energy storage unit; a first determination module (302) for determining the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit in accordance with the power information of the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit; a second determination module (303) for determining a plurality of reactive power setting solutions on the basis of preset restrictions and in accordance with the maximum settable reactive power of the wind turbine, the photovoltaic system and the energy storage unit and in accordance with the maximum settable reactive power of the SVG in the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, wherein the reactive power setting solutions comprises a reactive power performance corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG; an evaluation module (304) for determining an evaluation result of each reactive power setting solution on the basis of a preset evaluation function and in accordance with the reactive power performance corresponding to the wind turbine, the photovoltaic system, the energy storage unit and the SVG and characterised by each reactive power control solution, wherein the evaluation result is used to characterise the reactive power setting costs corresponding to the reactive power setting solution; the setting module (305) for selecting the target reactive power setting solution in a plurality of reactive power setting solutions in accordance with the evaluation results of each reactive power setting solution and for carrying out a reactive power adjustment at the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit in accordance with the target reactive power setting solution; in that the evaluation module (304) is used especially to: determine the equivalent economical use of the reactive power setting solution in accordance with the reactive power performance and the active power performance corresponding to the wind turbine, the photovoltaic system and the energy storage unit, which are characterised by the reactive power setting solution for each of the reactive power setting solutions; in that the determination of the evaluation result of the reactive power setting solution on the basis of the preset evaluation function and in accordance with the equivalent economical use of the reactive power setting solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit; in that the evaluation module is used especially to: calculate the equivalent economical use of the reactive power setting solution in accordance with the following formula: P replace = − k 1 k 2 Q wind + Q PV + Q battery where Preplace represents the equivalent economical use of the reactive power setting solution, Qwind represents the reactive power performance of the wind turbine, QPV represents the reactive power performance of the photovoltaic system, Qbattery represents the reactive power performance of the energy storage unit, k1 represents the conversion coefficient of the reactive power performance to the SVG costs, and k2 represents the conversion coefficient of the SVG costs to the active power performance; in that the evaluation module is used especially to: determine an evaluation result of the reactive power setting solution on the basis of the following evaluation function and in accordance with the equivalent economical use of the reactive power setting solution, the reactive power performance of the SVG and the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage system; f Q wind Q PV Q battery Q SVG = P loss_group + λ 1 P replace + λ 2 k 1 k 2 Q SVG λ 1 = P wind + P PV + P battery S wind_N + S PV_N + S battery_N λ 2 = Q SVG Q SVG_max where f(Qwind, QPV, Qbattery, QSVG) represents the evaluation result of the reactive power setting solution, Ploss_group represents the network loss corresponding to the integrated field station for the wind turbine, the photovoltaic system and the energy storage unit, QSVG represents the reactive power performance of the SVG, λ1 represents the displacement coefficient of the reactive power capacity of the SVG, λ2 represents the weighting coefficient of the reactive power performance of the SVG, Pwind represents the active power performance of the wind turbine, PPV represents the active power performance of the photovoltaic system, Pbattery represents the active power performance of the energy storage unit, Swind_N represents the nominal capacity of the wind turbine, SPV_N represents the nominal capacity of the photovoltaic system, Sbattery_N represents the nominal capacity of the energy storage unit and QSVG_max represents the maximum settable reactive power of the SVG.

6. An electronic set-up (40), characterised in that it comprises the following components: at least one processor (41) and a memory (41), in that the memory stores a computer execution command, in that the at least one processor executes the computer execution command stored in the memory so that the at least one processor executes a method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterised in that computer execution commands are stored in the computer-readable storage medium, whereby a method according to any one of claims 1 to 4 is carried out when the processor executes the computer execution command.