Wind and light power storage station coordination control method and system based on assessment of two detailed rules

Abstract

The invention relates to the technical field of power station regulation and control, in particular to a wind and light storage power station coordination control method and system based on assessment of two detailed rules. Calculating a first output ratio of the wind power system, the photovoltaic system and the energy storage system; and calculating a second output proportion of each energy storage unit according to the usable degree of each energy storage unit and the residual electric quantity of the energy storage system in the preset time period. According to the method, the first output proportion of the wind power system, the photovoltaic system and the energy storage system can be calculated by comprehensively considering the generating capacity, the remaining capacity and the power demand of the wind power system, the photovoltaic system and the energy storage system, so that the supply-demand relationship of a power grid is balanced, the fluctuation of the power grid is reduced, and the stability of the system is enhanced. The output distribution is carried out according to the actual condition of each energy storage unit, so that overuse or idling can be avoided, the overall service life of the energy storage equipment is prolonged, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power station control, and in particular to a method and system for coordinated control of a wind, solar and energy storage power station based on two detailed assessments. Background Art

[0002] With the transformation of the global energy structure and the rapid development of renewable energy, wind power and photovoltaic power generation, as representatives of clean energy, have continued to grow in installed capacity and power generation. However, wind power and photovoltaic power generation are intermittent and unstable, which poses a challenge to the stability and reliability of the power grid. In order to solve this problem, energy storage systems (ESS) are introduced into wind and solar power generation systems to smooth out the volatility of wind and solar power generation and improve the frequency regulation capability of the power grid and the efficiency of energy utilization.

[0003] In practical applications, the coordinated control strategy of the energy storage system is crucial to optimizing the operation of wind, photovoltaic and energy storage power stations. By accurately controlling the output of wind power, photovoltaic and energy storage units, the prediction accuracy of renewable energy power generation can be improved, the phenomenon of wind and photovoltaic abandonment can be reduced, and the peak and frequency regulation capabilities of the power grid can be enhanced.

[0004] In recent years, the implementation of these two rules has not only regulated the behavior of electricity market players, but also put forward further requirements for improving the operating efficiency of the power system and ensuring the reliability of power supply. Summary of the invention

[0005] (I) Purpose of the invention

[0006] The purpose of the present invention is to provide a wind-solar-storage power station coordinated control method and system based on two detailed assessment criteria, which can improve energy utilization and extend the service life of the energy storage system.

[0007] (II) Technical solution

[0008] In order to solve the above problems, the present invention provides a wind-solar-storage power station coordinated control method based on two detailed assessments, wherein the wind-solar-storage power station includes a wind power system, a photovoltaic system and an energy storage system, and the method includes:

[0009] Collecting environmental parameters, wherein the environmental parameters include wind parameters and light parameters;

[0010] Predicting the power generation of the wind power system within a preset time period according to the wind parameters;

[0011] predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters;

[0012] Obtaining the remaining power of the energy storage system within a preset time period;

[0013] Predict electricity demand within a preset time period;

[0014] Calculate the first output ratio of the wind power system, the photovoltaic system and the energy storage system according to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system;

[0015] Acquire life parameters of each energy storage unit in the energy storage system, and calculate the usability of each energy storage unit based on the life parameters;

[0016] Calculating the second output ratio of each energy storage unit according to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period;

[0017] The wind, solar and energy storage power station is coordinated and controlled according to the first output ratio and the second output ratio.

[0018] In another aspect of the present invention, preferably, predicting the power generation of the wind power system within a preset time period according to the wind parameters includes:

[0019] The following formula is used to calculate the power generation of the wind power system:

[0020]

[0021] Among them, E wind is the power generation of the wind power system, ρ is the air density under standard atmospheric pressure, r is the radius of the wind turbine rotor, C p is the wind energy utilization coefficient under normal operating conditions, θ is the angle between the wind direction and the nacelle position within a preset time period, Indicates the average incoming wind speed within the preset time period, loss wind represents the wind power system loss, and t represents the duration of the preset time period.

[0022] In another aspect of the present invention, preferably, predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameter comprises:

[0023] The radiation exposure is calculated using the illumination parameters, and the radiation exposure is calculated using the following formula:

[0024]

[0025] Among them, H represents the radiation exposure, H1 represents the direct solar radiation exposure on the horizontal plane, H2 represents the scattered radiation exposure on the horizontal plane, α represents the attenuation coefficient of direct radiation exposure, β represents the inclination angle of the photovoltaic system to the horizontal plane, and H3 represents the solar radiation exposure on the horizontal plane outside the atmosphere.

[0026] In another aspect of the present invention, preferably, the predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameter further comprises:

[0027] The power generation of the photovoltaic system is calculated using the following formula:

[0028]

[0029] Among them, E sun represents the power generation of the photovoltaic system, H represents the radiation exposure, P az Indicates installed capacity, E sc Indicates the irradiance under STC conditions, loss sun represents the loss of the photovoltaic system, and t represents the duration of the preset time period.

[0030] In another aspect of the present invention, preferably, predicting the electricity demand within a preset time period includes:

[0031] Acquire a number of historical time periods similar to the preset time period;

[0032] Obtaining the period coefficients between several historical time periods and the preset time period respectively;

[0033] The power demand within a preset time period is predicted by using the cycle coefficient and the power demand of several historical time periods.

[0034] In another aspect of the present invention, preferably,

[0035] The acquiring of a plurality of historical time periods similar to the preset time period comprises:

[0036] Calculating the similarity between the historical time period and the preset time period;

[0037] If the similarity is greater than or equal to a preset similarity threshold, then the time period is similar;

[0038] The similarity is calculated using the following formula:

[0039]

[0040] Among them, Q represents similarity; Represents the average value of each feature in the preset time period, Represents the average value of each feature of the historical time period; X k represents the value of feature k in the preset time period, Y k represents the value of feature k in the historical time period, and n represents the total number of features;

[0041] The period coefficient is calculated using the following formula:

[0042]

[0043] Among them, ω i represents the period coefficient of the i-th similar time period and the preset time period, Z first-i-1 represents the electricity consumption data of the first two time periods of the ith similar time period, Z end-i represents the electricity consumption data of the previous time period of the i-th similar time period, S first-1 Indicates the electricity consumption data of the last two time periods, S end-1 Indicates the electricity consumption data of the previous period.

[0044] In another aspect of the present invention, preferably, the first output ratio is expressed by the following formula:

[0045]

[0046]

[0047]

[0048] Among them, λ wind Indicates the first output ratio of the wind power system, λ sun Indicates the first output ratio of the photovoltaic system, λ ESS Indicates the first output ratio of the energy storage system, E 总 Indicates the predicted electricity demand within a preset time period; E sun Indicates the power generation of the photovoltaic system, E wind is the power generation of the wind power system, E ESS The remaining power generated by the energy storage system.

[0049] In another aspect of the present invention, preferably, the usability of each energy storage unit is calculated using the following formula:

[0050]

[0051]

[0052]

[0053] Among them, Cycle Life represents the cycle life of the energy storage unit, TotalCycles represents the total number of cycles of the energy storage unit, Cyclesper Day is the number of cycles per day, and Daysper Year is the number of days per year; SOH represents the health status of the energy storage unit, Remaining Capacity is the current remaining capacity of the energy storage unit, and Initial Capacity is the initial capacity of the energy storage unit; Usable Degree represents the usability of the energy storage unit; Expected SOH represents the expected health status, and Expected Cycle Life represents the expected cycle life.

[0054] In another aspect of the present invention, preferably, the second output ratio is calculated using the following formula:

[0055]

[0056] Among them, R i represents the second output ratio of the i-th energy storage unit; U i is the availability of the i-th energy storage unit, and n represents the total number of energy storage units.

[0057] In another aspect of the present invention, preferably, a wind-solar-storage power station coordination control system based on two detailed assessments, the wind-solar-storage power station includes a wind power system, a photovoltaic system and an energy storage system, and the control system includes:

[0058] Collection module: collects environmental parameters, including wind parameters and light parameters;

[0059] A first prediction module: predicting the power generation of the wind power system within a preset time period according to the wind parameters;

[0060] A second prediction module: predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters;

[0061] Acquisition module: acquires the remaining power of the energy storage system within a preset time period;

[0062] The third prediction module: predicts the electricity demand within a preset time period;

[0063] The first calculation module calculates the first output ratio of the wind power system, the photovoltaic system and the energy storage system according to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system;

[0064] A second calculation module: obtaining life parameters of each energy storage unit in the energy storage system, and calculating the usability of each energy storage unit based on the life parameters;

[0065] A third calculation module: calculating the second output ratio of each energy storage unit according to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period;

[0066] Coordination control module: coordinates and controls the wind, solar and energy storage power station according to the first output ratio and the second output ratio.

[0067] (III) Beneficial effects

[0068] The above technical solution of the present invention has the following beneficial technical effects:

[0069] The present invention collects environmental parameters and predicts the power generation of the wind power system and the photovoltaic system within a preset time period based on the collected environmental parameters. Combined with the prediction of the remaining power and power demand of the energy storage system, it can more accurately allocate various energy resources, avoid energy waste, and improve the overall energy utilization efficiency. By comprehensively considering the power generation, remaining power, and power demand of the wind power, photovoltaic, and energy storage systems, the first output ratio of the wind power system, the photovoltaic system, and the energy storage system can be calculated, which helps to balance the supply and demand relationship of the power grid, reduce power grid fluctuations, and enhance the stability of the system. By obtaining the life parameters of each energy storage unit in the energy storage system and calculating its usability, the management of each energy storage unit in the energy storage system can be achieved. Output allocation according to the actual conditions of each energy storage unit can avoid excessive use or idleness, thereby extending the overall life of the energy storage equipment and reducing operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is an overall flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0072] Obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] In the description of the present invention, it should be noted that the terms “first”, “second” and “third” are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0074] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0075] Embodiment 1

[0076] A coordinated control method for wind, solar and energy storage power stations based on two detailed assessment criteria. Figure 1 FIG. 1 shows an overall flow chart of an embodiment of the present invention, as shown in FIG. Figure 1 As shown, the wind-solar-energy-storage power station includes a wind power system, a photovoltaic system and an energy storage system, and the method includes:

[0077] Environmental parameters are collected, and the environmental parameters include wind parameters and light parameters; wind parameters may include wind speed, wind direction, air density, etc., while light parameters may include light intensity, sunshine duration, etc.

[0078] The power generation of the wind power system within a preset time period is predicted according to the wind power parameters; in this embodiment, the power generation of the wind power system is calculated using the following formula:

[0079]

[0080] Among them, E wind is the power generation of the wind power system, ρ is the air density under standard atmospheric pressure, r is the radius of the wind turbine rotor, C p is the wind energy utilization coefficient under normal operating conditions, θ is the angle between the wind direction and the nacelle position within a preset time period, Indicates the average incoming wind speed within the preset time period, loss wind represents the wind power system loss, and t represents the duration of the preset time period. wind Indicates the loss of the wind power system, including mechanical loss, electrical loss, etc. These losses need to be deducted from the theoretical power generation to obtain the actual power generation; air density is an important parameter in wind energy conversion efficiency, which affects the kinetic energy of the wind. Under standard atmospheric pressure, the air density is usually 1.205kg / m 3; The blade radius is a key size parameter of a wind turbine, which directly affects the swept area of ​​the wind rotor, and thus affects the amount of wind energy captured; The wind energy utilization coefficient (Cp) is the efficiency of a wind turbine in converting wind energy into mechanical energy under normal operating conditions, which is related to factors such as wind speed and blade design. The angle between the wind direction and the position of the nacelle affects the wind energy capture efficiency of the wind turbine. When the wind direction and the position of the nacelle are not completely aligned, the wind energy capture efficiency will be reduced. By comprehensively considering multiple key parameters, the power generation of the wind power system can be more accurately reflected, providing more reliable data support for subsequent coordinated control. By accurately predicting the power generation of the wind power system, the output ratio of the energy storage system and the photovoltaic system can be more reasonably configured to achieve optimal configuration and efficient utilization of energy.

[0081] The power generation of the photovoltaic system within a preset time period is predicted according to the illumination parameters; in this embodiment, the power generation of the photovoltaic system is calculated using the following formula:

[0082]

[0083] Among them, E sun represents the power generation of the photovoltaic system, H represents the radiation exposure, P az Indicates installed capacity, E sc Indicates the irradiance under STC conditions, loss sun The irradiance under STC conditions is the standard environmental condition for photovoltaic panel performance testing, usually 1000W / m 2 ; Installed capacity refers to the total power output capacity of the photovoltaic system under standard test conditions (STC)

[0084] The radiation exposure is calculated using the following formula:

[0085]

[0086] Among them, H represents the radiation exposure, H1 represents the horizontal direct solar radiation exposure, H2 represents the horizontal scattered radiation exposure, α represents the direct radiation exposure attenuation coefficient, β represents the inclination angle between the photovoltaic system and the horizontal plane, and H3 represents the horizontal solar radiation exposure outside the atmosphere. In addition to direct radiation, solar radiation also reaches the ground in the form of scattering; by considering direct radiation and scattering, the solar radiation received by the photovoltaic system can be calculated more accurately, providing reliable data support for the coordinated control of wind, solar and storage power stations.

[0087] Obtain the remaining power of the energy storage system within a preset time period; the acquisition method can be direct reading.

[0088] Predicting electricity demand within a preset time period; In this embodiment, predicting electricity demand within a preset time period includes:

[0089] Acquire a number of historical time periods similar to the preset time period;

[0090] Obtaining the period coefficients between several historical time periods and the preset time period respectively;

[0091] The power demand within a preset time period is predicted by using the cycle coefficient and the power demand of several historical time periods.

[0092] The acquiring of a plurality of time periods similar to the preset time period comprises:

[0093] Calculating the similarity between the historical time period and the preset time period;

[0094] If the similarity is greater than or equal to a preset similarity threshold, then the time period is similar;

[0095] The similarity is calculated using the following formula:

[0096]

[0097] Among them, Q represents similarity; Represents the average value of each feature in the preset time period, Represents the average value of each feature of the historical time period; X k represents the value of feature k in the preset time period, Y k It represents the value of feature k in the historical time period, and n represents the total number of features; similarity is a value between 0 and 1, which is used to represent the degree of similarity between the historical time period and the preset time period. The closer the Q value is to 1, the higher the similarity between the two time periods; the closer the Q value is to 0, the lower the similarity between the two time periods. The average value of each feature of the preset time period is a vector, which represents the average value of each feature of the preset time period. Features may include factors that may affect electricity demand, such as temperature, humidity, holidays, weekdays / weekends, etc.; the average value of each feature of the historical time period is also a vector, which represents the average value of each feature of the historical time period, corresponding to the feature vector of the preset time period. Obtain several historical time periods similar to the preset time period from the database. These historical time periods can be time periods of the same season, the same month, or the same holiday in the past few years. Set a similarity threshold (such as 0.9 or 0.95), and regard historical time periods with similarity greater than or equal to the threshold as time periods similar to the preset time period.

[0098] The period coefficient is calculated using the following formula:

[0099]

[0100] Among them, ω i represents the period coefficient of the i-th similar time period and the preset time period, Z first-i-1 represents the electricity consumption data of the first two time periods of the ith similar time period, Z end-i represents the electricity consumption data of the previous time period of the i-th similar time period, S first-1 Indicates the electricity consumption data of the last two time periods, S end-1 Indicates the electricity consumption data of the previous time period. The ratio of the growth rate of the electricity consumption data of the previous two time periods of a similar time period to the growth rate of the electricity consumption data of the previous two time periods of a preset time period is used as the cycle coefficient. The cycle coefficient can accurately reflect the change trend of electricity demand in similar time periods and preset time periods, and further predict the electricity consumption according to the change trend, making the predicted electricity demand more accurate.

[0101] According to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system, the first output ratio of the wind power system, the photovoltaic system and the energy storage system is calculated; the first output ratio is expressed by the following formula:

[0102]

[0103]

[0104]

[0105] Among them, λ wind Indicates the first output ratio of the wind power system, λ sun Indicates the first output ratio of the photovoltaic system, λ ESS Indicates the first output ratio of the energy storage system, E 总 Indicates the predicted electricity demand within a preset time period; E sun Indicates the power generation of the photovoltaic system, E wind is the power generation of the wind power system, E ESS The remaining power of the energy storage system. The calculation of the first output ratio takes into account the power generation capacity and remaining power of wind power, photovoltaic and energy storage systems, thereby achieving optimal utilization of energy. When wind power and photovoltaic power generation are sufficient, these renewable energy sources can be used first; when power generation is insufficient, the remaining power of the energy storage system can be used to supplement it.

[0106] Obtain life parameters of each energy storage unit in the energy storage system, and calculate the usability of each energy storage unit based on the life parameters; the usability of each energy storage unit is calculated using the following formula:

[0107]

[0108]

[0109]

[0110] Among them, Cycle Life represents the cycle life of the energy storage unit, TotalCycles represents the total number of cycles of the energy storage unit, Cycles per Day is the number of cycles per day, and Daysper Year is the number of days per year; SOH represents the health status of the energy storage unit, Remaining Capacity is the current remaining capacity of the energy storage unit, and Initial Capacity is the initial capacity of the energy storage unit; Usable Degree represents the usability of the energy storage unit. Expected SOH represents the expected health status, and ExpectedCycleLife represents the expected cycle life; the expected health status and expected cycle life can be obtained through experience. By calculating the cycle life and health status (SOH) of the energy storage unit, the remaining service life of the energy storage unit can be more accurately predicted, thereby providing a scientific basis for the maintenance and replacement of the energy storage system; by obtaining the life parameters of each energy storage unit in the energy storage system and calculating its usability, the management of each energy storage unit in the energy storage system can be realized. Output allocation according to the actual conditions of each energy storage unit can avoid overuse or idleness, thereby extending the overall life of the energy storage equipment and reducing operation and maintenance costs.

[0111] According to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period, the second output ratio of each energy storage unit is calculated; the second output ratio is calculated using the following formula:

[0112]

[0113] Among them, R i represents the second output ratio of the i-th energy storage unit; U i is the availability of the i-th energy storage unit, and n represents the total number of energy storage units.

[0114] The wind, solar and energy storage power station is coordinated and controlled according to the first output ratio and the second output ratio.

[0115] This embodiment collects environmental parameters and predicts the power generation of the wind power system and the photovoltaic system within a preset time period based on them. Combined with the remaining power and electricity demand forecast of the energy storage system, it can more accurately allocate various energy resources, avoid energy waste, and improve the overall energy utilization efficiency. By comprehensively considering the power generation, remaining power and electricity demand of wind power, photovoltaic and energy storage systems, the first output ratio of the wind power system, photovoltaic system and energy storage system can be calculated, which helps to balance the supply and demand relationship of the power grid, reduce power grid fluctuations, and enhance the stability of the system. By obtaining the life parameters of each energy storage unit in the energy storage system and calculating its usability, the management of each energy storage unit of the energy storage system can be achieved. Output allocation according to the actual conditions of each energy storage unit can avoid excessive use or idleness, thereby extending the overall life of the energy storage equipment and reducing operation and maintenance costs.

[0116] Embodiment 2

[0117] A wind, photovoltaic and energy storage power station coordination control system based on two detailed assessments, the wind, photovoltaic and energy storage power station includes a wind power system, a photovoltaic system and an energy storage system, and the control system includes:

[0118] Collection module: collects environmental parameters, including wind parameters and light parameters;

[0119] A first prediction module: predicting the power generation of the wind power system within a preset time period according to the wind parameters;

[0120] A second prediction module: predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters;

[0121] Acquisition module: acquires the remaining power of the energy storage system within a preset time period;

[0122] The third prediction module: predicts the electricity demand within a preset time period;

[0123] The first calculation module calculates the first output ratio of the wind power system, the photovoltaic system and the energy storage system according to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system;

[0124] A second calculation module: obtaining life parameters of each energy storage unit in the energy storage system, and calculating the usability of each energy storage unit based on the life parameters;

[0125] A third calculation module: calculating the second output ratio of each energy storage unit according to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period;

[0126] Coordination control module: coordinates and controls the wind, solar and energy storage power station according to the first output ratio and the second output ratio.

[0127] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0128] The present invention has been described above with reference to the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents. Without departing from the scope of the present invention, a person skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

[0129] Although the embodiments of the present invention have been described in detail, it should be understood that the various changes, substitutions, and alterations could be made hereto without departing from the spirit and scope of the invention.

[0130] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A coordinated control method for wind, solar and energy storage power stations based on two detailed assessments, characterized in that: The wind-solar-energy-storage power station comprises a wind power system, a photovoltaic system and an energy storage system, and the method comprises: Collecting environmental parameters, wherein the environmental parameters include wind parameters and light parameters; Predicting the power generation of the wind power system within a preset time period according to the wind parameters; predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters; Obtaining the remaining power of the energy storage system within a preset time period; Predict electricity demand within a preset time period; Calculate the first output ratio of the wind power system, the photovoltaic system and the energy storage system according to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system; Acquire life parameters of each energy storage unit in the energy storage system, and calculate the usability of each energy storage unit based on the life parameters; Calculating the second output ratio of each energy storage unit according to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period; The wind, solar and energy storage power station is coordinated and controlled according to the first output ratio and the second output ratio.

2. The control method according to claim 1, characterized in that: The step of predicting the power generation of the wind power system within a preset time period according to the wind power parameter comprises: The following formula is used to calculate the power generation of the wind power system: Among them, E wind is the power generation of the wind power system, ρ is the air density under standard atmospheric pressure, r is the radius of the wind turbine rotor, C p is the wind energy utilization coefficient under normal operating conditions, θ is the angle between the wind direction and the nacelle position within a preset time period, Indicates the average incoming wind speed within the preset time period, loss wind represents the wind power system loss, and t represents the duration of the preset time period.

3. The control method according to claim 1, characterized in that: The step of predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters comprises: The radiation exposure is calculated using the illumination parameters, and the radiation exposure is calculated using the following formula: Among them, H represents the radiation exposure, H1 represents the direct solar radiation exposure on the horizontal plane, H2 represents the scattered radiation exposure on the horizontal plane, α represents the attenuation coefficient of direct radiation exposure, β represents the inclination angle of the photovoltaic system to the horizontal plane, and H3 represents the solar radiation exposure on the horizontal plane outside the atmosphere.

4. The control method according to claim 3, characterized in that: The method of predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters also includes: The power generation of the photovoltaic system is calculated using the following formula: Among them, E sun represents the power generation of the photovoltaic system, H represents the radiation exposure, P az Indicates installed capacity, E sc Indicates the irradiance under STC conditions, loss sun represents the loss of the photovoltaic system, and t represents the duration of the preset time period.

5. The control method according to claim 1, characterized in that: Predicting electricity demand over a preset time period includes: Acquire a number of historical time periods similar to the preset time period; Obtaining the period coefficients between several historical time periods and the preset time period respectively; The power demand within a preset time period is predicted by using the cycle coefficient and the power demand of several historical time periods.

6. The control method according to claim 5, characterized in that: The acquiring of a plurality of historical time periods similar to the preset time period comprises: Calculating the similarity between the historical time period and the preset time period; If the similarity is greater than or equal to a preset similarity threshold, then the time period is similar; The similarity is calculated using the following formula: Among them, Q represents similarity; Represents the average value of each feature in the preset time period, Represents the average value of each feature of the historical time period; X k represents the value of feature k in the preset time period, Y k represents the value of feature k in the historical time period, and n represents the total number of features; The period coefficient is calculated using the following formula: Among them, ω i represents the period coefficient of the i-th similar time period and the preset time period, Z first-i-1 represents the electricity consumption data of the first two time periods of the ith similar time period, Z end-i represents the electricity consumption data of the previous time period of the i-th similar time period, S first-1 Indicates the electricity consumption data of the last two time periods, S end-1 Indicates the electricity consumption data of the previous time period.

7. The control method according to claim 1, characterized in that: The first output ratio is expressed by the following formula: Among them, λ wind Indicates the first output ratio of the wind power system, λ sun Indicates the first output ratio of the photovoltaic system, λ ESS Indicates the first output ratio of the energy storage system, E 总 Indicates the predicted electricity demand within a preset time period; E sun Indicates the power generation of the photovoltaic system, E wind is the power generation of the wind power system, E ESS The remaining power generated by the energy storage system.

8. The control method according to claim 1, characterized in that: The usability of each energy storage unit is calculated using the following formula: Among them, Cycle Life represents the cycle life of the energy storage unit, TotalCycles represents the total number of cycles of the energy storage unit, Cycles per Day represents the number of cycles per day, and Days per Year represents the number of days per year; SOH represents the health status of the energy storage unit, RemainingCapacity represents the current remaining capacity of the energy storage unit, and InitialCapacity represents the initial capacity of the energy storage unit; Usable Degree represents the usability of the energy storage unit, Expected SOH represents the expected health status, and Expected Cycle Life represents the expected cycle life.

9. The control method according to claim 8, characterized in that: The second output ratio is calculated using the following formula: Among them, R i represents the second output ratio of the i-th energy storage unit; U i is the availability of the i-th energy storage unit, and n represents the total number of energy storage units.

10. A wind, solar and energy storage power station coordination control system based on two detailed assessments, characterized in that: The wind-solar-energy-storage power station includes a wind power system, a photovoltaic system and an energy storage system, and the control system includes: Collection module: collects environmental parameters, including wind parameters and light parameters; A first prediction module: predicting the power generation of the wind power system within a preset time period according to the wind parameters; A second prediction module: predicting the power generation of the photovoltaic system within a preset time period according to the illumination parameters; Acquisition module: acquires the remaining power of the energy storage system within a preset time period; The third prediction module: predicts the electricity demand within a preset time period; The first calculation module calculates the first output ratio of the wind power system, the photovoltaic system and the energy storage system according to the power demand, the power generation of the wind power system within a preset time period, the power generation of the photovoltaic system and the remaining power of the energy storage system; A second calculation module: obtaining life parameters of each energy storage unit in the energy storage system, and calculating the usability of each energy storage unit based on the life parameters; A third calculation module: calculating the second output ratio of each energy storage unit according to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period; Coordination control module: coordinates and controls the wind, solar and energy storage power station according to the first output ratio and the second output ratio.

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