Renewable energy power station, control method, controller and computer-readable storage medium

Abstract

A renewable energy power station, a control method, a controller and a computer-readable storage medium. The renewable energy power station comprises photovoltaic power generation equipment, a wind turbine and an energy storage system, or the renewable energy power station comprises photovoltaic power generation equipment and a wind turbine. The control method comprises: acquiring operation data of a renewable energy power station; on the basis of the operation data of the renewable energy power station, dynamically determining a main power supply and a flexible balancing power supply of the renewable energy power station; and, on the basis of the determined main power supply and flexible balancing power supply of the renewable energy power station, adjusting a control strategy of the photovoltaic power generation equipment, the wind turbine and / or the energy storage system.

Description

New energy power plants, control methods, controllers, and computer-readable storage media Technical Field

[0001] This application relates to the field of new energy technology, and more specifically, to a new energy power station, a control method, a controller, and a computer-readable storage medium. Background Technology

[0002] The main characteristics of wind turbine generators (hereinafter referred to as wind turbines) and photovoltaic power generation equipment (hereinafter referred to as photovoltaics) are low energy density and high randomness. At the same time, these two energy sources have good complementarity (low wind speed and strong sunlight during the day, high wind speed and no sunlight at night). By configuring a certain amount of energy storage, the entire power generation system can make full use of local wind and solar resources and output more stable power, thus achieving better economic benefits.

[0003] To maximize the benefits of renewable energy power plants, a series of devices are needed to regulate the output power of each related power source. For integrated energy projects with fixed installed capacity or load, the installed capacity of wind turbine generators and photovoltaic power generation equipment are equal to the grid-connected capacity or maximum load, meaning that the total power output of the project at any given time will not exceed the grid-connected capacity.

[0004] However, the power generation capacity of wind turbines throughout their all-weather design lifecycle is currently not fully utilized. For integrated wind and solar (or wind-solar-storage) energy management, the industry generally adopts a lagging control approach, optimizing based on the output power of each power source without considering the future state of each generator, operating solely to maximize immediate profits. Furthermore, current centralized control typically only issues output power commands to the generators, while the related operational logic is executed by the generators themselves, making large fluctuations during the control process highly likely.

[0005] Furthermore, while the lifespan and degradation rate of photovoltaic power are relatively stable, the power generation and lifespan of large components of wind turbine generators are more affected by external environmental factors, and the dispatchability throughout the entire life cycle is stronger. However, there is currently a lack of effective control methods to maximize the output of wind turbine generators in new energy power plants. Summary of the Invention

[0006] In order to solve at least one of the above-mentioned technical problems, this disclosure provides a control method for a new energy power station.

[0007] One of the purposes of this disclosure is to provide a control method that can improve the output of wind turbine generators in new energy power plants.

[0008] According to a first aspect of this disclosure, a control method for a new energy power station is provided. The new energy power station includes photovoltaic power generation equipment, wind turbine generators, and an energy storage system, or the new energy power station includes photovoltaic power generation equipment and wind turbine generators. The control method includes: acquiring operating data of the new energy power station, the operating data including the output power of the photovoltaic power generation equipment; dynamically determining the main power source and the mobile balancing power source of the new energy power station based on the operating data; and adjusting the control strategies of the photovoltaic power generation equipment, the wind turbine generators, and / or the energy storage system based on the determined main power source and the mobile balancing power source of the new energy power station.

[0009] Optionally, the operation data of the new energy power station may also include wind condition indicators of the location of the new energy power station; based on the operation data of the new energy power station, dynamically determining the main power source and the mobile balancing power source of the new energy power station may include: in response to the operation data of the new energy power station meeting a first preset condition, determining the wind turbine generator as the main power source of the new energy power station and the photovoltaic power generation equipment as the mobile balancing power source of the new energy power station; wherein, the first preset condition includes at least one of the following: the output power of the photovoltaic power generation equipment is less than a first threshold, the wind condition indicator is less than the design value, and the fluctuation index of the output power of the photovoltaic power generation equipment is greater than the preset fluctuation index.

[0010] Optionally, wind condition indicators may include at least one of the following: wind speed change, wind direction change, gusts, and turbulence intensity; output power fluctuation indicators may include at least one of the following: standard deviation of output power, variance of output power, and entropy of output power.

[0011] Optionally, the first preset condition may include at least one of the following: the output power of the photovoltaic power generation equipment is less than a first threshold and greater than a second threshold, the turbulence intensity at the location of the wind power generation equipment is less than the design value, and the entropy value of the output power of the photovoltaic generator set is greater than or equal to the entropy value of the output power of the wind power generator set, and the second threshold is greater than or equal to zero.

[0012] Optionally, dynamically determining the main power source and mobile balancing power source of the new energy power station based on the operation data of the new energy power station may further include: in response to meeting a third preset condition, determining the wind turbine generator set as the mobile balancing power source of the new energy power station and the photovoltaic power generation equipment as the main power source of the new energy power station; wherein the third preset condition includes at least one of the following conditions: the output power of the photovoltaic power generation equipment is greater than or equal to a first threshold and less than or equal to the grid-connected capacity of the new energy power station, the wind condition index is greater than or equal to the design value, and the fluctuation index of the photovoltaic power generation equipment is less than the preset fluctuation index.

[0013] Optionally, adjusting the control strategy of the photovoltaic power generation equipment, wind turbine generator set, and / or energy storage system based on the determined results may include: in response to the wind turbine generator set operating as the main power source of the new energy power station and the photovoltaic power generation equipment operating as the mobile balancing power source of the new energy power station, controlling the output power of the wind turbine generator set to the potential output power of the wind turbine generator set.

[0014] Optionally, adjusting the control strategy for the photovoltaic power generation equipment, wind turbine generator set, and / or energy storage system based on the determined results may include: in response to the wind turbine generator set operating as a mobile balancing power source for the new energy power station and the photovoltaic power generation equipment operating as the main power source for the new energy power station, calculating a first power difference between the grid-connected capacity and the output power of the photovoltaic power generation equipment; in response to a second power difference between the potential output power of the wind turbine generator set and the first power difference being less than zero, controlling the output power of the wind turbine generator set to the potential output power, where the potential output power refers to the power predicted over a future period based on the currently detected wind speed; and in response to a second power difference being greater than or equal to zero and the energy storage system being fully charged, controlling the output power of the wind turbine generator set to the first power difference.

[0015] Optionally, adjusting the control strategy of the photovoltaic power generation equipment, wind turbine generator set, and / or energy storage system based on the determined results may include: controlling the charging power of the energy storage system to the chargeable power, where the chargeable power is the rated charging power of the energy storage system, in response to the second power difference being greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being greater than or equal to the chargeable power of the energy storage system; and controlling the charging power of the energy storage system to the second power difference, in response to the second power difference being greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being less than the chargeable power of the energy storage system.

[0016] Optionally, the operating data of the new energy power station may also include the discharge power of the energy storage system. Adjusting the control strategy of the photovoltaic power generation equipment, wind turbine generator set and / or energy storage system based on the determined results may include: in response to the output power of the photovoltaic power generation equipment being equal to zero and the discharge power of the energy storage system being greater than zero, calculating a third power difference between the grid-connected capacity and the potential output power of the wind turbine generator set; in response to the third power difference being greater than or equal to the rated discharge power of the energy storage system, controlling the discharge power of the energy storage system to the rated discharge power; in response to the third power difference being less than the rated discharge power, determining the maximum discharge power of the energy storage system as the third power difference.

[0017] Optionally, the control method may further include: in response to the maximum discharge power of the energy storage system being greater than or equal to the product of the discharge depth and the rated discharge power of the energy storage system, controlling the discharge power of the energy storage system to be the product of the discharge depth and the rated discharge power of the energy storage system.

[0018] Optionally, the photovoltaic power generation equipment, wind turbine generators, and energy storage systems in the new energy power station can share the grid-connected capacity, or the photovoltaic power generation equipment and wind turbine generators in the new energy power station can share the grid-connected capacity.

[0019] Optionally, the first threshold and the second threshold can be determined based on historical operating data of photovoltaic power generation equipment and wind turbine generator sets, with the objective function being to maximize the power generation of new energy power plants.

[0020] Optionally, the capacity of the energy storage system can be determined based on historical operating data of photovoltaic power generation equipment and wind turbine generators, as well as economic evaluation indicators of new energy power plants as the objective function. The economic evaluation indicators include internal rate of return and / or levelized cost of electricity.

[0021] According to a second aspect of this disclosure, a computer-readable storage medium is provided that stores a program or instructions that, when executed by a processor, cause the processor to perform the control method described above.

[0022] According to a third aspect of this disclosure, a controller for a new energy power station is provided. The controller includes a memory and a processor. The memory stores programs or instructions, and when the programs or instructions are executed by the processor, they cause the processor to execute the aforementioned control method.

[0023] According to a fourth aspect of this disclosure, a new energy power station is provided, which includes photovoltaic power generation equipment, wind turbine generators and energy storage systems, or the new energy power station includes photovoltaic power generation equipment and wind turbine generators;

[0024] The information acquisition unit is used to acquire the operating data of the new energy power station, including the output power of the photovoltaic power generation equipment; the mobile balancing power switching unit is used to dynamically determine the main power supply and mobile balancing power supply of the new energy power station based on the operating data of the new energy power station; the power control unit is used to adjust the control strategies of the photovoltaic power generation equipment, wind turbine generator set and / or energy storage system based on the determined main power supply and mobile balancing power supply of the new energy power station.

[0025] The control method according to the embodiments of this disclosure can provide economic benefits for new energy power plants.

[0026] The control method according to the embodiments of this disclosure can improve the stability of the output power of new energy power plants. Attached Figure Description

[0027] Figure 1 is a flowchart illustrating a control method according to a first embodiment of the present disclosure.

[0028] Figure 2 is a flowchart illustrating a control method according to a second embodiment of the present disclosure.

[0029] Figure 3 is a flowchart illustrating a control method according to a third embodiment of the present disclosure.

[0030] Figure 4 is a flowchart illustrating a control method according to a fourth embodiment of the present disclosure.

[0031] Figure 5 is a flowchart illustrating a control method according to a fifth embodiment of the present disclosure.

[0032] Figure 6 is a graph showing the output power of a new energy power station and the discharge power of an energy storage system according to an embodiment of the present disclosure.

[0033] Figure 7 is a graph illustrating the potential output power of wind and solar power according to an embodiment of the present disclosure.

[0034] Figure 8 is a photovoltaic output curve illustrating an embodiment of the present disclosure.

[0035] Figure 9 is a system block diagram illustrating a new energy power station according to an embodiment of the present disclosure.

[0036] Figure 10 is a graph showing the output power of the new energy power station before and after optimization.

[0037] The present disclosure will be described in detail below with reference to the accompanying drawings, throughout which the same or similar elements will be indicated by the same or similar reference numerals. Detailed Implementation

[0038] The following detailed description is provided to aid in obtaining a full understanding of the methods, apparatus, and / or systems described herein. However, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein; equivalent substitutions or changes may be made, except for operations that must occur or be performed in a specific order. Furthermore, for clarity and conciseness, descriptions of content well-known in the art will be omitted or simplified.

[0039] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains upon understanding this disclosure. Unless expressly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having a meaning consistent with their meaning in the context of the relevant field and in this disclosure, and shall not be interpreted in an idealized or overly formalistic manner.

[0040] Unless otherwise specified, the same reference numerals generally refer to the same elements (e.g., components, steps, and methods). Reference numerals described in previous embodiments that reappear in later embodiments may be omitted. Furthermore, technical features described in different or the same embodiments can be combined in any way, as long as the combined embodiment or technical solution is complete and can solve the technical problems of this application or achieve the technical effects described or not described in this disclosure but which can be determined based on the complete technical solution described above. The terminology used in this disclosure is explained below.

[0041] New energy power stations are integrated energy systems that combine wind turbine generators and photovoltaic power generation equipment, two renewable energy power generation methods. This combination utilizes the complementary characteristics of wind and solar energy in time and space to improve the stability and reliability of the entire system, while optimizing resource utilization and reducing environmental impact. New energy power stations can also be integrated energy systems that combine wind turbine generators, photovoltaic power generation equipment and energy storage systems, thus forming a wind-solar-storage integrated energy system.

[0042] In renewable energy power plants, photovoltaic (PV) power generation equipment and wind turbine generators share grid-connected capacity: For integrated energy projects with fixed installed capacity or load, the installed capacity of both wind turbine generators and PV power generation equipment is equal to the grid-connected capacity or maximum load. This means that the total power output of the project at any given time will not exceed the grid-connected capacity or maximum load. In the case of energy storage systems, the sum of the power generation of the wind turbine generators, the power generation of the PV power generation equipment, and the discharge power of the energy storage system will not exceed the grid-connected capacity or maximum load.

[0043] Operational data of a renewable energy power station refers to the collection of data in real time collected, recorded, and transmitted by sensors and monitoring systems (such as SCADA systems) during the actual operation of a wind farm. This data reflects the working status, performance, environmental conditions (such as wind direction and wind speed), and fault information of various devices within the station. Operational data may include the output power of various devices in the renewable energy power station, such as the output power of wind turbine generators, photovoltaic generators, and energy storage systems.

[0044] Wind condition indicators for new energy power stations or wind turbine generators: These are physical quantities that characterize wind speed, wind direction, and their spatiotemporal variations, obtained through long-term or short-term wind measurement observations under specific geographical and altitude conditions. Examples include wind speed changes, wind direction changes, gusts, and turbulence intensity. Taking turbulence intensity as an example, it reflects the degree of wind speed fluctuation and the instability of the wind field. The turbulence intensity of a new energy power station can be calculated based on the wind speed at its location. Specifically, turbulence intensity can be the ratio of the standard deviation of wind speed to the average wind speed. Turbulence intensity can be calculated by continuously recording instantaneous wind speeds at a specific altitude over a period of time using an anemometer, calculating the average of all instantaneous wind speeds during this period, calculating the standard deviation of instantaneous wind speeds within the same time period, and then calculating the turbulence intensity.

[0045] Output power fluctuation indicators for photovoltaic (PV) power generation equipment or wind turbine generators: These are indicators used to quantify the degree of drastic change in the active power output of wind turbine generators or PV power generation equipment over time. Examples include the standard deviation, variance, and entropy value of output power. The entropy or entropy value of the output power of PV power generation equipment or wind turbine generators measures the degree of uncertainty or randomness in the output power of PV power generation equipment or wind turbine generators. A higher entropy value indicates more unstable output power. The entropy or entropy value of the output power of PV power generation equipment or wind turbine generators can be obtained as follows: Output power data of PV power generation equipment or wind turbine generators over a certain period of time is collected. This data is then segmented and categorized into different power intervals, and the frequency of occurrence within each interval is determined. The relative frequency corresponding to each power interval is calculated, and then the information entropy used in existing technologies is applied.

[0046] This disclosure allows for the dynamic determination of the main power source and mobile balancing power source of a new energy power station based on its operational data. Based on the determined main power source and mobile balancing power source, the control strategies for photovoltaic power generation equipment, wind turbine generators, and / or energy storage systems can be adjusted.

[0047] As an example, one of the wind turbine generators and photovoltaic power generation equipment can be selected as the main power source, and the other as a mobile balancing power source, based on factors such as the output power of the photovoltaic power generation equipment, wind condition indicators at the location of the renewable energy power station (e.g., wind speed variation, wind direction variation, gusts, turbulence intensity), and fluctuation indicators of the output power of the photovoltaic power generation equipment (e.g., standard deviation, variance, entropy).

[0048] For example, when the operating data of a new energy power station meets preset conditions, wind turbine generators are designated as the main power source for the power station, and photovoltaic power generation equipment is designated as the mobile balancing power source. These preset conditions may include: the output power of the photovoltaic power generation equipment is less than a first threshold, wind condition indicators are less than design values, and the fluctuation index of the output power of the photovoltaic power generation equipment is greater than at least one of the preset fluctuation indicators. Wind condition indicators may include at least one of wind speed variation, wind direction variation, gusts, and turbulence intensity. Output power fluctuation indicators may include at least one of the standard deviation of output power, variance of output power, and entropy value of output power.

[0049] As examples, wind turbines can be used as the main power source when the output power of photovoltaic power generation equipment is relatively low; when wind direction changes are infrequent and there is a dominant wind direction, and the wind turbine yaw is infrequent and its efficiency is high; when the turbulence intensity is below the design lower limit; and when the standard deviation, variance, or entropy value of photovoltaic power generation equipment is greater than the corresponding threshold. Simultaneously, photovoltaic power generation equipment can serve as a mobile balancing power source.

[0050] Wind speed changes can be obtained by continuously recording wind speed at hub height using an anemometer (such as an ultrasonic anemometer) and calculating the average, range, or standard deviation over different time scales (from seconds to years) as wind speed changes. Wind direction changes can be obtained by collecting wind direction data from a wind vane or ultrasonic sensor and statistically analyzing the frequency of occurrence, prevailing wind direction, and standard deviation of wind direction in each direction as wind direction changes. Gusts can be obtained by obtaining the maximum value of the average wind speed over several seconds. Turbulence intensity can be obtained by dividing the standard deviation of longitudinal wind speed over several minutes by the average wind speed during that period, expressed as a percentage, reflecting the severity of wind speed fluctuations. However, this is merely an example, and this disclosure is not limited thereto.

[0051] The variance of output power can be obtained as follows: the average of the squared deviations of the wind turbine's output power from its average power at each moment within a given time window, in units of power squared (e.g., MW). 2 The standard deviation of the output power can be obtained by taking the square root of the power variance. The following detailed description uses wind conditions as the turbulence intensity and fluctuation as the entropy value as an example; however, this disclosure is not limited thereto, and the technical concepts of this disclosure can be applied to other indicators.

[0052] As an example, the control method of this disclosure may include acquiring the output power of a photovoltaic power generation device, and determining that a wind turbine generator set operates as the main power source of a new energy power station in response to satisfying a first preset condition. The first preset condition includes at least one of the following: the output power of the photovoltaic power generation device is less than a first threshold and greater than a second threshold; the turbulence intensity at the location of the new energy power station or the location of the wind turbine generator set is less than a design value; and the entropy value of the output power of the photovoltaic power generation device is greater than or equal to the entropy value of the output power of the wind turbine generator set. The first threshold is less than half of the grid-connected capacity of the new energy power station, and the second threshold is greater than or equal to zero. As an example, the first threshold can be 0.3, and the second threshold can be zero. The following is a detailed description in conjunction with the accompanying drawings of this disclosure.

[0053] Figure 1 is a flowchart illustrating a control method according to a first embodiment of the present disclosure; Figure 2 is a flowchart illustrating a control method according to a second embodiment of the present disclosure; Figure 3 is a flowchart illustrating a control method according to a third embodiment of the present disclosure; Figure 4 is a flowchart illustrating a control method according to a fourth embodiment of the present disclosure; Figure 5 is a flowchart illustrating a control method according to a fifth embodiment of the present disclosure; Figure 6 is a graph illustrating the output power of a new energy power station and the discharge power of an energy storage system according to an embodiment of the present disclosure; Figure 7 is a graph illustrating the potential output power of wind and solar power according to an embodiment of the present disclosure; Figure 8 is a photovoltaic power output curve according to an embodiment of the present disclosure; Figure 9 is a system block diagram of a new energy power station according to an embodiment of the present disclosure; and Figure 10 is a graph illustrating the output power of a new energy power station before and after optimization.

[0054] Referring to FIG1, the control method according to the first embodiment of the present disclosure may include steps S110, S120, S130 and S140.

[0055] In step S110, the output power of the photovoltaic power generation equipment is obtained. The output power of the photovoltaic power generation equipment can be the real-time measured power output. The output power can be obtained through a built-in power meter, by measuring voltage and current using dedicated sensors installed at the output of the photovoltaic array or inverter to calculate the power value, or directly through a system and a remote monitoring platform (SCADA).

[0056] In step S120, it is determined whether a first preset condition is met. The first preset condition may include at least one of the following: the output power of the photovoltaic power generation equipment is less than a first threshold and greater than a second threshold; the turbulence intensity at the location of the new energy power station is less than the design value; and the entropy value of the output power of the photovoltaic power generation equipment is greater than or equal to the entropy value of the output power of the wind turbine generator set.

[0057] As an example, photovoltaic (PV) power generation equipment (hereinafter referred to as PV) is the main power source, and wind turbine generators serve as a mobile balancing power source. However, to increase the output power of new energy power plants and improve the output of wind turbine generators, under certain conditions, wind turbine generators can be used as the main power source, and PV power generation equipment as a mobile balancing power source. For example, wind turbine generators can be used as the main power source under the following conditions: 1) On cloudy or rainy days, the output power of PV is extremely low; 2) During the day, the output power of PV is less than 30% of the theoretical output power of the grid-connected power, and the wind speed and turbulence intensity are less than the design value of the wind turbine generators; 3) Within a certain sliding time window, the entropy value of the output power of PV is greater than that of the output power of wind turbine generators. This means that the fluctuation of PV output power is greater than that of wind power output power, and it is difficult for the grid or load regulation to complete the response within the specified time. Therefore, wind turbine generators can be used as the main power source when the above conditions are met.

[0058] In step S130, in response to the fulfillment of the first preset condition, the wind turbine generator set is determined as the main power source of the new energy power station. After determining the wind turbine generator set as the main power source (at this time, the photovoltaic generator set acts as a mobile balancing power source), the control strategies of various devices in the new energy power station can be adjusted according to the determined main power source and mobile balancing power source. For example, the control strategies of the photovoltaic power generation equipment and the wind turbine generator set can be adjusted; or, for example, the control strategies of the photovoltaic power generation equipment, the wind turbine generator set, and the energy storage system can be adjusted. As an example, adjusting the control strategy of the wind turbine generator set can refer to sending corresponding control signals to the wind turbine generator set to make the wind turbine generator set operate in the main power source mode, that is, controlling the wind turbine generator set to output the main power required for grid connection or the main power required for the load. Alternatively, adjusting the control strategy of the wind turbine generator set can also refer to actually controlling the wind turbine generator set as the main power source according to the corresponding control signals, so as to control the wind turbine generator set to output the main power required for grid connection or the main power required for the load.

[0059] In step S140, in response to the failure to meet the first preset condition, the wind turbine generator set is determined to be the mobile balancing power source for the new energy power station.

[0060] After determining that wind turbines are the mobile balancing power source, the control strategies of various equipment in the renewable energy power station can be adjusted based on the determined main power source and mobile balancing power source. For example, the control strategies of photovoltaic power generation equipment and wind turbines can be adjusted; or the control strategies of photovoltaic power generation equipment, wind turbines, and energy storage systems can be adjusted. As an example, adjusting the control strategy of wind turbines can mean sending corresponding control signals to the wind turbines to operate them in mobile balancing power source mode, that is, controlling the wind turbines to output at least a portion of the surplus power required for grid connection or at least a portion of the surplus power required by the load. Alternatively, adjusting the control strategy of wind turbines can mean actually controlling the wind turbines as a mobile balancing power source according to the corresponding control signals.

[0061] As an example, the control method according to an embodiment of the present disclosure may further include: in response to satisfying a third preset condition, determining a wind turbine generator set as a mobile balancing power source for a new energy power station, and determining a photovoltaic power generation device as the main power source for the new energy power station, wherein the third preset condition includes at least one of the following conditions: the output power of the photovoltaic power generation device is greater than or equal to a first threshold and less than or equal to the grid-connected capacity; the turbulence intensity is greater than or equal to the design value; and the entropy value of the output power of the photovoltaic power generation device is less than the entropy value of the output power of the wind turbine generator set.

[0062] As examples, photovoltaic (PV) power generation equipment can be used as the main power source when its output power is high; it can also be used when wind direction changes frequently and there is no dominant wind, resulting in frequent yaw and low efficiency of wind turbines; it can be used as the main power source when the turbulence intensity is greater than or equal to the design lower limit; and it can be used as the main power source when the standard deviation, variance, or entropy value of the PV power generation equipment exceeds the corresponding threshold. Simultaneously, PV power generation equipment can serve as a mobile balancing power source.

[0063] The control method according to embodiments of this disclosure may further include: controlling a wind turbine generator set to operate as the main power source of a renewable energy power station in response to satisfying a second preset condition, wherein the second preset condition includes: the output power of the photovoltaic power generation equipment being less than or equal to a second threshold and greater than or equal to zero. That is, the wind turbine generator set can be controlled as the main power source even when the photovoltaic power generation equipment has very low power output (e.g., zero power output), for example, the wind turbine generator set can be controlled to operate as the main power source of a renewable energy power station even when the photovoltaic power generation equipment is not generating electricity. The output power of the photovoltaic system generally will not exceed the grid-connected power of the renewable energy power station.

[0064] Referring specifically to Figure 2, the control method according to the second embodiment of this disclosure may include steps S1201, S1202, S1203, S1204 and S1205.

[0065] In step S1201, the output power P of the photovoltaic power generation equipment is determined. solar Is it less than 0.3P? capacity .

[0066] P capacity It can refer to grid-connected capacity or installed capacity. For example, the rated power of photovoltaic power generation equipment and wind turbine generators can both be considered as grid-connected capacity P. capacity .

[0067] In step S1202, in response to the output power P of the photovoltaic power generation device solar Less than 0.3P capacity Further analysis is needed to determine whether the entropy (solar) of the photovoltaic power generation equipment's output power is greater than or equal to the entropy (wtg) of the wind turbine's output power. The time range for calculating the entropy (solar) and entropy (wtg) can be set according to specific needs. To maximize the output power of the renewable energy power station, a shorter time range can be selected. For example, rapid changes in wind speed and direction within 5-10 minutes can cause significant fluctuations in output power. By calculating the entropy value of the output power within these few minutes, abnormal power fluctuations can be detected in a timely manner. The specific time window can be determined as needed.

[0068] In step S1203, in response to the fact that the entropy of the output power of the photovoltaic power generation equipment (solar) is greater than or equal to the entropy of the output power of the wind turbine generator (wtg), it is further determined whether the turbulence intensity at the location of the new energy power station is less than the design value. As an example, the turbulence intensity can be calculated based on the wind speed at the location of the new energy power station over a certain period of time. The specific calculation method is as described above and will not be repeated here.

[0069] In step S1204, in response to the turbulence intensity at the location of the renewable energy power station being less than the design value, the wind turbine generator is determined to be the main power source for the renewable energy power station. For example, the operation of the wind turbine generator can be controlled in a maximum power point tracking (MPPT) manner. However, this is merely an example. As an example, when the wind turbine generator operates as the main power source for the renewable energy power station and the photovoltaic power generation equipment operates as a mobile balancing power source for the renewable energy power station, the output power of the wind turbine generator can be controlled to the potential output power of the wind turbine generator.

[0070] In step S1205, in response to the output power P of the photovoltaic power generation device solar Greater than or equal to 0.3P capacity (less than P) capacityIf the entropy of the output power of the photovoltaic (PV) power generation equipment (solar) is less than the entropy of the output power of the wind turbine generator (wtg), or the turbulence intensity at the location of the renewable energy power station is greater than or equal to the design value, then the wind turbine generator is determined as the mobile balancing power source for the renewable energy power station. After determining the main power source and mobile balancing power source for the renewable energy power station using the wind turbine generator, the control strategies for the wind turbine generator, PV power generation equipment, and energy storage system can be adjusted. For example, the wind turbine generator can be controlled to output at least a portion of the surplus power required for grid connection or at least a portion of the surplus power required by the load. Simultaneously, the PV power generation equipment can be controlled as the main power source; for example, it can be controlled using maximum power point tracking (MPPT).

[0071] As an example, a wind turbine can be determined as either the main power source or a mobile balancing power source by at least two of the three conditions mentioned above in the first condition. The output power P of the photovoltaic power generation equipment as described above... solar With 0.3P capacity The order of comparisons—including the comparison of the entropy of the output power of photovoltaic power generation equipment (solar) and the entropy of the output power of wind turbine generators (wtg), and the comparison of the turbulence intensity at the location of the new energy power station with the design value—is not limited to the order mentioned above. For example, the comparisons can be made sequentially based on the output power P of the photovoltaic power generation equipment. solar With 0.3P capacity The comparison includes the comparison of turbulence intensity at the location of the new energy power station with the design value, and finally, the comparison of the entropy of the output power of the photovoltaic power generation equipment (solar) and the entropy of the output power of the wind turbine generator (wtg). The determination process of the main power source and the mobile balancing power source is described in detail below.

[0072] Referring specifically to Figure 3, the control method according to the third embodiment of this disclosure may include steps S310, S320, S330, S340, S350 and S360.

[0073] In step S310, the output power P of the photovoltaic power generation equipment is determined. solar Does it satisfy 0? <P solar ≤P capacity .

[0074] In step S320, in response to determining the output power P of the photovoltaic power generation device solar Satisfy 0 <P solar ≤P capacity To further determine the output power P of the photovoltaic power generation equipment solar Does P satisfy? solar Less than 0.3P capacity .

[0075] In S330, in response to the output power P of the photovoltaic power generation device solarSatisfy P solar <0.3 Pcapacity Further determine whether the turbulence intensity Ti at the location of the new energy power station satisfies Ti < Ti design , among which, Ti design This is the design value.

[0076] In step S340, the turbulence intensity Ti at the location of the new energy power station satisfies Ti < Ti design Further determine whether the entropy of the output power of the photovoltaic power generation equipment (solar) and the entropy of the output power of the wind turbine generator (wtg) satisfy the condition that entropy (solar) < entropy (wtg).

[0077] In step S350, in response to entropy solar ≥ entropy wtg, the wind turbine generator set is determined as the main power source.

[0078] In addition, the control method according to the third embodiment of this disclosure may also include steps S341 and S342.

[0079] In step S341, the theoretical output power model or power curve of the wind turbine generator set is obtained. In step S342, the output power is calculated based on the measured wind speed and the power curve or theoretical output power model, and then the entropy value of the output power is calculated. Although not shown, the control method according to the third embodiment of this disclosure may also include the step of calculating the entropy value of the output power of the photovoltaic power generation device. The entropy value of the output power of the wind turbine generator set and the photovoltaic power generation device can be calculated using information entropy as described above, and will not be repeated here.

[0080] As an example, the new energy power station disclosed herein may also include an energy storage system. When the wind turbine generator is in the mobile balancing power supply mode, if there is still surplus power after the wind turbine generator meets the grid connection requirements, the excess energy can be used to charge the energy storage system.

[0081] As an example, the steps for adjusting the control strategies of photovoltaic power generation equipment, wind turbine generators, and energy storage systems based on the determined results may include: in response to the wind turbine generators operating as a mobile balancing power source for the renewable energy power station and the photovoltaic power generation equipment operating as the main power source for the renewable energy power station, calculating a first power difference between the grid-connected capacity and the output power of the photovoltaic power generation equipment; in response to a second power difference between the potential output power of the wind turbine generators and the first power difference being less than zero, controlling the output power of the wind turbine generators to the potential output power, where potential output power refers to the power predicted over a future period based on the currently detected wind speed; and in response to the second power difference being greater than or equal to zero and the energy storage system being fully charged, controlling the output power of the wind turbine generators to the first power difference. As an example, the potential output power can be predicted by detecting the average wind speed over a 1-minute period and then using that average to predict the power over the next few minutes. However, this is merely an example, and the specific detection time window can be adjusted as needed.

[0082] As an example, the steps of adjusting the control strategies of photovoltaic power generation equipment, wind turbine generators, and energy storage systems based on the determined results may include: controlling the charging power of the energy storage system to the rechargeable power in response to a second power difference greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being greater than or equal to the rechargeable power of the energy storage system; and controlling the charging power of the energy storage system to the second power difference in response to a second power difference greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being less than the rechargeable power of the energy storage system. Here, the rechargeable power is the rated charging power of the energy storage system. As mentioned above, the photovoltaic power generation equipment, wind turbine generators, and energy storage systems in the new energy power station share the grid-connected capacity. The first threshold is preferably 0.3; however, this is merely an example, and the first threshold can be 0.45, 0.4, 0.35, 0.25, etc.

[0083] Referring to FIG4, the control method according to the fourth embodiment of the present disclosure may include steps S410, S420, S430, S440, S450, S460, S470 and S480.

[0084] In step S410, the first power difference δ is calculated, δ = P capacity _P solar .

[0085] In step S420, the potential output power P of the wind turbine generator set is determined. wtg,potential Does P satisfy? wtg,potential _δ≥0.

[0086] In step S430, in response to satisfying P wtg,potential If _δ≥0, then it is necessary to further determine whether the energy storage system is fully charged.

[0087] In step S440, in response to determining that the energy storage system is fully charged, the output power of the wind turbine generator is controlled to δ. That is, a control command P with an output power of δ can be sent to the wind turbine generator. wtg,demand .

[0088] In step S450, in response to P wtg,potential If δ is less than 0, the output power of the wind turbine generator will be controlled to the potential output power P. wtg,potential .

[0089] In step S460, in response to determining that the energy storage system is not fully charged, it is further determined whether P is satisfied. wtg,potential _δ≥P battery,rated,charge P battery,rated,charge This refers to the rated charging power of the energy storage system.

[0090] In step S470, in response to P not being satisfied wtg,potential _δ≥P battery,rated,charge Then the charging power of the energy storage system will be controlled to P. wtg,potential _δ (i.e., the second power difference), that is, control commands P can be sent to the energy storage system. battery,demand .

[0091] In step S480, in response to satisfying P wtg,potential _δ≥P battery,rated,charge Then the charging power of the energy storage system will be controlled to P. battery,rated,charge It should be noted again that a statement similar to controlling the power of component A to B can also refer to sending a command corresponding to power B to component A.

[0092] As an example, adjusting the control strategy for photovoltaic power generation equipment, wind turbine generators, and energy storage systems based on the determined results may include: in response to the output power of the photovoltaic power generation equipment being less than or equal to a second threshold and greater than or equal to zero, and the discharge power of the energy storage system being greater than zero, calculating a third power difference between the grid-connected capacity and the potential output power of the wind turbine generator; in response to the third power difference being greater than or equal to the rated discharge power of the energy storage system, controlling the discharge power of the energy storage system to the rated discharge power; and in response to the third power difference being less than the rated discharge power, determining the maximum discharge power of the energy storage system as the third power difference.

[0093] As an example, the control method according to an embodiment of the present disclosure further includes: in response to the maximum discharge power of the energy storage system being greater than or equal to the product of the discharge depth of the energy storage system and the rated discharge power, controlling the discharge power of the energy storage system to be the product of the discharge depth of the energy storage system and the rated discharge power.

[0094] Referring to Figure 5, when the output power of the photovoltaic power generation equipment is determined to be less than or equal to a second threshold and greater than or equal to zero, taking the second threshold as zero as an example, when the photovoltaic power generation equipment does not generate electricity, the energy storage system can be controlled to discharge while the wind turbine generator is controlled to operate as the main power source. The control method according to the embodiments of this disclosure may include steps S510, S520, S530, S540, S550, S560, S570 and S580.

[0095] In step S510, it is determined whether the energy storage system has electricity.

[0096] In step S520, in response to determining that the energy storage system is powered, a third power difference is calculated. Here, "energy storage system having power" can mean that the remaining power of the energy storage system is higher than a preset threshold and has the ability to discharge. Taking a depth of discharge (DOD) of 85% as an example, when the remaining power of the energy storage system is higher than 15%, it can be determined that the energy storage system has power or has the ability to discharge.

[0097] In step S530, it is further determined whether the third power difference is satisfied. (That is, the rated discharge power of the energy storage system).

[0098] In step S540, in response to not satisfying Then the maximum discharge power P of the energy storage system will be... battery,max,dis Determined as the third power difference

[0099] In step S550, in response to satisfying Then the discharge power P of the energy storage system battery,demand,dis The control is Pbattery,rated,discharge.

[0100] In step S560, in response to determining that the energy storage system is without power, the discharge power of the energy storage system can be controlled to zero. Here, "energy storage system without power" can mean that the remaining power of the energy storage system is below a preset threshold and therefore has no discharge capability. In other words, it can be determined that the energy storage system is without power even when the discharge conditions are not met. For example, when the remaining power of the energy storage system is below 15%, it can be determined that the energy storage system has no discharge capability, i.e., it can be determined that the energy storage system is without power.

[0101] In step S570, it can be further determined whether P is satisfied. battery,max,dis ≥DOD·Pbattery,rated,discharge.

[0102] In step S580, in response to satisfying Pbattery,max,dis ≥DOD·Pbattery,rated,discharge, controls the discharge power of the energy storage system to DOD·Pbattery,rated,discharge. That is, P battery,demand,dis =DOD·Pbattery,rated,discharge.

[0103] Although not shown, it is responsive to P battery,max,dis <DOD·Pbattery,rated,discharge> controls the discharge power of the energy storage system to the third power difference value. Alternatively, the depth of discharge can be disregarded, and... In this case, the discharge power of the energy storage system is controlled to the third power difference.

[0104] By controlling the charging and discharging of energy storage systems under specific conditions, the stability of the output power of renewable energy power plants can be improved, thereby increasing economic efficiency. Referring to Figure 6, curve G1 represents the actual output power of the renewable energy power plant (the excess is limited) when the grid-connected capacity is 500MW. Curve G2 represents the discharge power of the energy storage system. Referring to Figure 7, curve G3 represents the potential output power of the renewable energy power plant, that is, the theoretical value of the sum of the output power of the wind turbine generators and the photovoltaic power generation equipment over a certain period. In the example, the grid-connected capacity is 500MW, but the output power will exceed 500MW at certain times, and the excess will be wasted. Referring to Figure 8, curve G4 represents the output power of the photovoltaic power generation equipment over a certain period. As can be seen from Figures 6 to 8, energy storage systems can increase the absorption of wind and solar energy, reduce wind and solar curtailment, increase the system's power generation capacity, and improve economic efficiency.

[0105] Referring to Figure 10, curve G5 represents the power curve of the wind turbine in the new energy power station before optimization, and curve G6 represents the power curve of the wind turbine in the new energy power station after optimization. It can be seen that the optimized wind turbine has a higher power generation capacity, a larger power generation in the same time period, and higher economic benefits.

[0106] As an example, the capacity of the energy storage system disclosed herein can be the same as that of the wind turbine generator and the photovoltaic power generation equipment. As an example, the capacity of the energy storage system can be obtained through optimization using an optimization model. As an example, the aforementioned first threshold, second threshold, and other thresholds can be empirical values ​​or obtained through the optimization model. Specifically, they can be determined based on historical operating data of the photovoltaic power generation equipment and the wind turbine generator, using economic evaluation indicators of the new energy power station as the objective function. For example, the objective function of the aforementioned optimization model can be an economic evaluation indicator, which may include the internal rate of return and / or levelized cost of electricity. The constraints of the optimization model may include maximum capacity limits and load safety-related indicators or constraints. The optimization model can be solved using gradient descent, particle swarm optimization, genetic algorithms, etc., to obtain the capacity of the energy storage system and the various thresholds in the aforementioned control method.

[0107] Referring to FIG9, the new energy power station 900 according to an embodiment of the present disclosure may include: an information acquisition unit 910, a mobile balancing power switching unit 920, and a power control unit 921.

[0108] The information acquisition unit 910 can acquire the operation data of the new energy power station.

[0109] For example, the information acquisition unit 910 can be used to collect various operating data of photovoltaic power generation equipment and wind turbine generator sets, such as the power generation capacity and wind speed of photovoltaic power generation equipment and wind turbine generator sets.

[0110] The mobile balancing power switching unit 920 can dynamically determine the main power supply and mobile balancing power supply of the new energy power station based on the operation data of the new energy power station.

[0111] The mobile balancing power switching unit 920 can be used to select either the photovoltaic power generation equipment or the wind turbine generator as the main power source based on operating data. As an example, the mobile balancing power switching unit 920 can select the other of the photovoltaic power generation equipment and the wind turbine generator as the mobile balancing power source. It should be noted that the energy storage system is neither the main power source nor the mobile balancing power source, but rather serves as an auxiliary regulation tool to help maintain the stability of the power system and optimize energy management, thereby improving the stability of renewable energy power plants.

[0112] The power control unit 921 can adjust the control strategies of photovoltaic power generation equipment, wind turbine generator sets and / or energy storage systems according to the determined main power supply and mobile balancing power supply of the new energy power station.

[0113] The power control unit 921 may include a main power control unit 930 and a mobile balancing power control unit 940. The main power control unit 930 may respond to the photovoltaic power generation equipment as the main power source by using maximum power point tracking to control the photovoltaic power generation equipment. The main power control unit 930 may be part of the photovoltaic power generation equipment or independent of the photovoltaic power generation equipment. As an example, the main power control unit 930 may be implemented by software and may be used to send power control commands to the controller of the photovoltaic power generation equipment, etc.

[0114] Furthermore, the main power control unit 930 can respond to the wind turbine generator set being the main power source, and control the wind turbine generator set and energy storage system based on the external environment and the status of the energy storage system. As mentioned above, the wind turbine generator set and energy storage system can be controlled based on wind speed fluctuations, the entropy value of the output power, and the charging and discharging status of the energy storage system.

[0115] The mobile balancing power control unit 940 can adjust the output power by reducing the windward area of ​​the photovoltaic panels of the photovoltaic power generation equipment based on the incoming wind direction in response to the photovoltaic power generation equipment being a mobile balancing power source. Additionally, as an example, the mobile balancing power control unit 940 can control the operation of the wind turbine generator and the energy storage system based on the relationship between the potential output power of the wind turbine generator and the first power difference as described above, and the state of the energy storage system, in response to the wind turbine generator being a mobile balancing power source. The exemplary embodiments of the new energy power station and its control method according to the present disclosure have been described above with reference to Figures 1 to 10. However, it should be understood that the units, modules, and systems shown in the figures can be configured as software, hardware, firmware, or any combination thereof to perform specific functions. For example, these systems and devices may correspond to dedicated integrated circuits, pure software code, or modules combining software and hardware. Furthermore, one or more functions implemented by these systems or devices may also be uniformly executed by components in physical entity devices (e.g., processors, clients, or servers).

[0116] For example, according to an exemplary embodiment of the present disclosure, a computer-readable storage medium storing instructions may be provided, wherein when the instructions are executed by at least one computing device, the at least one computing device causes the at least one computing device to perform at least one of the steps described above.

[0117] It should be noted that the control method according to the exemplary embodiments of this disclosure may rely on the operation of computer programs or instructions to realize the corresponding functions. That is, each device corresponds to each step in the functional architecture of the computer program, so that the entire system is called through a special software package (e.g., a lib library) to realize the corresponding functions.

[0118] On the other hand, when a system, unit, or module is implemented in software, firmware, middleware, or microcode, the program code or code segment used to perform the corresponding operation can be stored in a computer-readable medium such as a storage medium, so that at least one processor or at least one computing device can perform the corresponding operation by reading and running the corresponding program code or code segment. In addition, the computer-readable medium or storage medium can cause the processor to perform the above-mentioned control method when the computer program is executed by the processor.

[0119] For example, according to an exemplary embodiment of the present disclosure, a computer device may be provided including a readable medium storing computer program instructions, wherein the instructions, when executed by at least one computing device, cause the at least one computing device to perform at least one of the above steps.

[0120] According to embodiments of the present disclosure, a computer-readable storage medium may be provided, which stores a program or instructions that, when executed by a processor, cause the processor to perform the aforementioned control method, for example, at least one step of the aforementioned control method may be performed.

[0121] The controller of a new energy power station according to an embodiment of the present disclosure may include a memory and a processor. The memory stores programs or instructions, and when the programs or instructions are executed by the processor, they cause the processor to perform the above-described control method. For example, at least one step of the above-described control method may be executed.

[0122] The control method according to the embodiments of this disclosure can improve the output of wind turbine generators in new energy power plants.

[0123] The control method according to the embodiments of this disclosure can improve the economic benefits of new energy power plants.

[0124] The control method according to the embodiments of this disclosure can improve the stability of the output power of new energy power plants.

[0125] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope; for example, features described in different embodiments can be combined. The scope of this disclosure is limited only by the appended claims.

Claims

1. A control method for a new energy power station, characterized in that, The new energy power station includes photovoltaic power generation equipment, wind turbine generators, and energy storage systems; or, the new energy power station includes photovoltaic power generation equipment and wind turbine generators; the control method includes: Obtain operational data from new energy power plants; Based on the operating data of the new energy power station, the main power source and the mobile balancing power source of the new energy power station are dynamically determined; Based on the determined main power source and mobile balancing power source of the new energy power station, adjust the control strategies of the photovoltaic power generation equipment, the wind turbine generator set, and / or the energy storage system.

2. The control method for a new energy power station according to claim 1, characterized in that, The operational data of the new energy power station includes the output power of the photovoltaic power generation equipment and / or the wind condition indicators of the location of the new energy power station. The step of dynamically determining the main power source and mobile balancing power source of the new energy power station based on its operational data includes: In response to the fact that the operating data of the new energy power station meets the first preset condition, the wind turbine generator set is determined as the main power source of the new energy power station, and the photovoltaic power generation equipment is determined as the mobile balancing power source of the new energy power station. The first preset condition includes at least one of the following: the output power of the photovoltaic power generation equipment is less than a first threshold, the wind condition index is less than the design value, and the fluctuation index of the output power of the photovoltaic power generation equipment is greater than a preset fluctuation index.

3. The control method for a new energy power station according to claim 2, characterized in that, The wind condition indicators include at least one of the following: wind speed change, wind direction change, gusts, and turbulence intensity; The output power fluctuation index includes at least one of the following: the standard deviation of output power, the variance of output power, and the entropy value of output power.

4. The control method for a new energy power station according to claim 3, characterized in that, The first preset condition includes at least one of the following: The output power of the photovoltaic power generation equipment is less than a first threshold and greater than a second threshold, the turbulence intensity at the location of the wind turbine generator is less than the design value, and the entropy value of the output power of the photovoltaic power generation equipment is greater than or equal to the entropy value of the output power of the wind turbine generator, wherein the second threshold is greater than or equal to zero.

5. The control method for a new energy power station according to claim 2, characterized in that, The step of dynamically determining the main power source and mobile balancing power source of the new energy power station based on its operating data also includes: In response to the fulfillment of the third preset condition, the wind turbine generator set is determined to be the mobile balancing power source of the new energy power station, and the photovoltaic power generation equipment is determined to be the main power source of the new energy power station. The third preset condition includes at least one of the following conditions: the output power of the photovoltaic power generation equipment is greater than or equal to the first threshold and less than or equal to the grid-connected capacity of the new energy power station; the wind condition index is greater than or equal to the design value; and the fluctuation index of the photovoltaic power generation equipment is less than the preset fluctuation index.

6. The control method for a new energy power station according to claim 1, characterized in that, The step of adjusting the control strategy of the photovoltaic power generation equipment, the wind turbine generator set, and / or the energy storage system based on the determined results includes: In response to the wind turbine generator set operating as the main power source of the new energy power station and the photovoltaic power generation equipment operating as the mobile balancing power source of the new energy power station, the output power of the wind turbine generator set is controlled to the potential output power of the wind turbine generator set.

7. The control method for a new energy power station according to claim 1, characterized in that, The step of adjusting the control strategy of the photovoltaic power generation equipment, the wind turbine generator set, and / or the energy storage system based on the determined results includes: In response to the wind turbine generator set operating as the mobile balancing power source of the new energy power station and the photovoltaic power generation equipment operating as the main power source of the new energy power station, a first power difference between the grid-connected capacity and the output power of the photovoltaic power generation equipment is calculated; In response to a second power difference between the potential output power of the wind turbine generator set and the first power difference being less than zero, the output power of the wind turbine generator set is controlled to the potential output power, which refers to the power predicted over a future period based on the currently detected wind speed. In response to the second power difference being greater than or equal to zero and the energy storage system being fully charged, the output power of the wind turbine generator is controlled to the first power difference.

8. The control method for a new energy power station according to claim 7, characterized in that, The step of adjusting the control strategy of the photovoltaic power generation equipment, the wind turbine generator set, and / or the energy storage system based on the determined results includes: In response to the second power difference being greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being greater than or equal to the rechargeable power of the energy storage system, the charging power of the energy storage system is controlled to the rechargeable power, where the rechargeable power is the rated charging power of the energy storage system. In response to the second power difference being greater than or equal to zero, the energy storage system not being fully charged, or the second power difference being less than the chargeable power of the energy storage system, the charging power of the energy storage system is controlled to the second power difference.

9. The control method for a new energy power station according to claim 1, characterized in that, The operational data of the new energy power station also includes the discharge capacity of the energy storage system. Adjusting the control strategies for the photovoltaic power generation equipment, the wind turbine generator set, and the energy storage system based on the determined results includes: In response to the photovoltaic power generation equipment having zero output power and the energy storage system having a greater than zero discharge power, a third power difference between the grid-connected capacity and the potential output power of the wind turbine generator is calculated. In response to the third power difference being greater than or equal to the rated discharge power of the energy storage system, the discharge power of the energy storage system is controlled to be the rated discharge power; In response to the fact that the third power difference is less than the rated discharge power, the maximum discharge power of the energy storage system is determined to be the third power difference.

10. The control method for a new energy power station according to claim 9, characterized in that, The control method further includes: In response to the maximum discharge power of the energy storage system being greater than or equal to the product of the discharge depth of the energy storage system and the rated discharge power, the discharge power of the energy storage system is controlled to be the product of the discharge depth of the energy storage system and the rated discharge power.

11. The control method for a new energy power station according to any one of claims 1 to 10, characterized in that, The photovoltaic power generation equipment, the wind turbine generator set, and the energy storage system in the new energy power station share the grid-connected capacity, or the photovoltaic power generation equipment and the wind turbine generator set in the new energy power station share the grid-connected capacity.

12. The control method for a new energy power station according to claim 4, characterized in that, The first threshold and the second threshold are determined based on the historical operating data of the photovoltaic power generation equipment and the wind turbine generator set, and with the objective function being to maximize the power generation of the new energy power station.

13. The control method for a new energy power station according to any one of claims 1 to 10, characterized in that, The capacity of the energy storage system is determined based on the historical operating data of the photovoltaic power generation equipment and the wind turbine generator set, as well as the economic evaluation indicators of the new energy power station as the objective function. The economic evaluation indicators include the internal rate of return and / or the levelized cost of electricity.

14. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program or instructions that, when executed by a processor, cause the processor to perform the control method according to any one of claims 1-13.

15. A controller for a new energy power station, characterized in that, The controller includes a memory and a processor, the memory storing programs or instructions that, when executed by the processor, cause the processor to perform the control method according to any one of claims 1-13.

16. A new energy power station, characterized in that, The new energy power station includes photovoltaic power generation equipment, wind turbine generators and energy storage systems, or the new energy power station includes photovoltaic power generation equipment and wind turbine generators; An information acquisition unit is used to acquire the operating data of the new energy power station, including the output power of the photovoltaic power generation equipment; The mobile balancing power switching unit is used to dynamically determine the main power supply and mobile balancing power supply of the new energy power station based on the operating data of the new energy power station. The power control unit adjusts the control strategies of the photovoltaic power generation equipment, the wind turbine generator set, and / or the energy storage system based on the determined main power supply and mobile balancing power supply of the new energy power station.

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