A coordinated control method and system for a wind-solar-storage power station based on the assessment of two detailed rules

Abstract

The present invention relates to the technical field of power station regulation and control, and specifically relates to a coordinated control method and system for a wind-solar-storage power station under the assessment of two regulations, including: calculating the first output ratio of the wind power system, the photovoltaic system, and the energy storage system according to the electricity demand, the power generation of the wind power system, the power generation of the photovoltaic system, and the remaining power of the energy storage system within a preset time period; calculating the second output ratio of each energy storage unit according to the available degree of each energy storage unit and the remaining power of the energy storage system within a preset time period. By comprehensively considering the power generation, remaining power, and electricity demand of the wind power, photovoltaic, and energy storage systems, the present invention can calculate the first output ratio of the wind power system, the photovoltaic system, and the energy storage system, which helps to balance the power supply and demand relationship of the power grid, reduce power grid fluctuations, and enhance the stability of the system. Allocating the output according to the actual conditions of each energy storage unit can avoid overuse or idleness, thereby prolonging the overall life of the energy storage equipment and reducing the operation and maintenance costs.

Description

Technical Field

[0001] The present invention relates to the technical field of power station regulation and control, and particularly relates to a coordinated control method and system for a wind-solar-storage power station based on the assessment of two regulations. 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 seen continuous growth in their installed capacity and power generation. However, wind power and photovoltaic power generation are characterized by intermittency and instability, which pose challenges to the stability and reliability of the power grid. To address this issue, an energy storage system (ESS) is introduced into the wind-solar power generation system to suppress the volatility of wind-solar power generation, improve the frequency regulation ability of the power grid, and enhance the energy utilization efficiency.

[0003] In practical applications, the coordinated control strategy of the energy storage system is crucial for optimizing the operation of the wind-solar-storage power station. By precisely controlling the output of wind power, photovoltaic, and energy storage units, the prediction accuracy of new energy power generation can be improved, the phenomena of wind curtailment and light curtailment can be reduced, and the peak shaving and frequency regulation capabilities of the power grid can be enhanced.

[0004] In recent years, through the implementation of these two regulations, not only the behaviors of power market entities have been standardized, but also further requirements have been put forward for improving the operation efficiency of the power system and ensuring the reliability of power supply. Summary of the Invention

[0005] (I) Object of the Invention

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

[0007] (II) Technical Solution

[0008] To solve the above problems, the present invention provides a coordinated control method for a wind-solar-storage power station based on the assessment of two regulations. The wind-solar-storage power station includes a wind power system, a photovoltaic system, and an energy storage system. The method includes:

[0009] Collect environmental parameters, where the environmental parameters include wind parameters and light parameters;

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

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

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

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

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

[0015] Obtain the 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] Calculate 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 the preset time period;

[0017] Coordinately control the wind-solar-storage power station according to the first output ratio and the second output ratio;

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

[0019] Calculate and obtain the power generation of the wind power system by using the following formula:

[0020]

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

[0022] On the other hand of the present invention, preferably, the predicting the power generation of the photovoltaic system within a preset time period according to the light parameters includes:

[0023] Calculate the radiation exposure by using the light parameters, and the radiation exposure is calculated by using the following formula:

[0024]

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

[0026] On the other hand of the present invention, preferably, predicting the power generation amount of the photovoltaic system within a preset time period according to the illumination parameters further includes:

[0027] Calculating the power generation amount of the photovoltaic system by using the following formula:

[0028]

[0029] wherein, E sun represents the power generation amount of the photovoltaic system, H represents the radiation exposure amount, P az represents the installed capacity, E sc represents 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] On the other hand of the present invention, preferably, predicting the electricity demand within a preset time period includes:

[0031] Obtaining a plurality of historical time periods similar to the preset time period;

[0032] Respectively obtaining the period coefficients between the plurality of historical time periods and the preset time period;

[0033] Predicting the electricity demand within the preset time period by using the period coefficients and the electricity demands of the plurality of historical time periods.

[0034] On the other hand of the present invention, preferably,

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

[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, it is a similar time period;

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

[0039]

[0040] wherein, Q represents the similarity; represents the average value of each feature of 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 by 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, and Z first-i-1 represents the electricity consumption data of the two time periods before the i-th similar time period, and Z end-i represents the electricity consumption data of the time period before the i-th similar time period, and S first-1 represents the electricity consumption data of the two previous time periods, and S end-1 represents the electricity consumption data of the previous time period.

[0044] On the other hand of the present invention, preferably, the first output ratio is represented by the following formula:

[0045]

[0046]

[0047]

[0048] Among them, λ wind represents the first output ratio of the wind power system, and λ sun represents the first output ratio of the photovoltaic system, and λ ESS represents the first output ratio of the energy storage system, and E 总 represents the predicted electricity demand within the preset time period; E sun represents the power generation of the photovoltaic system, and E wind is the power generation of the wind power system, and E ESS is the remaining power of the energy storage system's power generation.

[0049] On the other hand of the present invention, preferably, the usability of each energy storage unit is calculated by 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 state 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 usable degree of the energy storage unit, Expected SOH represents the expected health state, and Expected Cycle Life represents the expected cycle life.

[0054] On the other hand, preferably, the second output ratio of the present invention 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 usable degree of the i-th energy storage unit, and n represents the total number of energy storage units.

[0057] On the other hand, preferably, a coordinated control system for a wind-solar-storage power station based on two rules assessment, 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] Acquisition module: acquire environmental parameters, and the environmental parameters include wind parameters and light parameters;

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

[0060] Second prediction module: predict the power generation of the photovoltaic system within a preset time period according to the light parameters;

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

[0062] Third prediction module: predict the power consumption demand within a preset time period;

[0063] First calculation module: calculate the first output ratios of the wind power system, the photovoltaic system, and the energy storage system according to the power consumption 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] Second calculation module: acquire the life parameters of each energy storage unit in the energy storage system, and calculate the usable degree of each energy storage unit based on the life parameters;

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

[0066] The coordination control module: performs coordinated control on the wind-solar-storage power station according to the first output ratio and the second output ratio.

[0067] (3) Beneficial effects

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

[0069] By collecting environmental parameters, predicting the power generation of the wind power system and the photovoltaic system within a preset time period, combining the remaining power of the energy storage system and the prediction of power consumption demand, the present invention can allocate various energy resources more accurately, avoid energy waste, and improve the overall energy utilization efficiency. By comprehensively considering the power generation, remaining power, and power consumption demand of the 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 power 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 available degree, the management of each energy storage unit in the energy storage system can be realized. Allocating the output according to the actual conditions of each energy storage unit can avoid overuse or idleness, thereby extending the overall life of the energy storage device and reducing the operation and maintenance costs. Description of the drawings

[0070] Figure 1 is the overall flowchart of an embodiment of the present invention. Detailed implementation manners

[0071] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the specific implementation manners and the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts of the present invention.

[0072] Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope 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 construed as indicating or implying relative importance.

[0074] In addition, the technical features involved in 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 a wind-solar-storage power station based on two detailed rules assessment Figure 1 The overall flowchart of an embodiment of the present invention is shown, as Figure 1 shown, the wind-solar-storage power station includes a wind power system, a photovoltaic system, and a energy storage system, and the method includes:

[0077] Collect environmental parameters, where the environmental parameters include wind parameters and light parameters; the wind parameters may include wind speed, wind direction, air density, etc., and the light parameters may include light intensity, sunshine duration, etc.

[0078] Predict the power generation of the wind power system within a preset time period according to the wind parameters; in this embodiment, the following formula is used to calculate the power generation of the wind power system:

[0079]

[0080] where, 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 impeller, 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 the preset time period, represents the average incoming flow wind speed within the preset time period, loss wind represents the loss of the wind power system, and t represents the duration of the preset time period. loss wind represents the loss of the wind power system, including mechanical loss, electrical loss, etc., and these losses need to be deducted from the theoretical power generation to obtain the actual power generation; air density is an important parameter in the wind energy conversion efficiency, and it affects the kinetic energy of the wind. Under standard atmospheric pressure, the air density is usually taken as 1.205 kg / m 3;The impeller radius is a key dimensional parameter of a wind turbine, which directly affects the swept area of the wind wheel and thus the amount of wind energy captured; the wind energy utilization coefficient (Cp) is the efficiency of converting wind energy into mechanical energy by a wind turbine under normal operating conditions, and it is related to factors such as wind speed and blade design. The angle between the wind direction and the nacelle position affects the wind energy capture efficiency of the wind turbine. When the wind direction is not exactly aligned with the nacelle position, it will lead to a reduction in the wind energy capture efficiency. 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 the optimal allocation and efficient utilization of energy.

[0081] Predict the power generation of the photovoltaic system within a preset time period according to the said illumination parameters; in this embodiment, the following formula is used to calculate the power generation of the photovoltaic system:

[0082]

[0083] where, E sun represents the power generation of the photovoltaic system, H represents the radiation exposure, P az represents the installed capacity, E sc represents the irradiance under STC conditions, loss sun represents the loss of the photovoltaic system, and t represents the duration of the preset time period. The loss of the photovoltaic system includes temperature loss, inverter loss, line loss, etc., and these losses will affect the actual power generation of the photovoltaic system. The irradiance under STC conditions is the standard environmental condition for photovoltaic panel performance testing, usually 1000W / m 2 ; the installed capacity refers to the total power output capacity of the photovoltaic system under standard test conditions (STC)

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

[0085]

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

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

[0088] Predict the electricity consumption demand within a preset time period; in this embodiment, predicting the electricity consumption demand within a preset time period includes:

[0089] Obtain a plurality of historical time periods similar to the preset time period;

[0090] Respectively obtain the period coefficients between a plurality of historical time periods and the preset time period;

[0091] Use the period coefficients and the electricity consumption demands of a plurality of historical time periods to predict the electricity consumption demand within the preset time period.

[0092] The obtaining of a plurality of time periods similar to the preset time period includes:

[0093] Calculate 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, it is a similar time period;

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

[0096]

[0097] Where Q represents the similarity; Represents the average value of each feature of 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 similarity is a value between 0 and 1, used to represent the similarity degree 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, representing the average value of the preset time period on each feature. Features can include factors such as temperature, humidity, holiday situation, working day / weekend, etc. that may affect electricity consumption demand; the average value of each feature of the historical time period is also a vector, representing the average value of the historical time period on each feature, corresponding to the feature vector of the preset time period. Obtain a plurality of historical time periods similar to the preset time period from the database. These historical time periods can be time periods in 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 the historical time periods with similarity greater than or equal to this 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, and Z first-i-1 represents the electricity consumption data of the two time periods before the i-th similar time period, and Z end-i represents the electricity consumption data of the time period before the i-th similar time period, and S first-1 represents the electricity consumption data of the two previous time periods, and S end-1 represents the electricity consumption data of the previous time period. Based on the ratio of the growth rate of the electricity consumption data of the two time periods before the similar time period to the growth rate of the electricity consumption data of the two time periods before the preset time period as the period coefficient, the period coefficient can accurately reflect the change trend of the electricity demand between the similar time period and the preset time period. Further predict the electricity consumption according to the change trend, making the predicted electricity demand more accurate.

[0101] Calculate the first output ratio of the wind power system, photovoltaic system, and energy storage system according to the electricity demand, the power generation of the wind power system, the power generation of the photovoltaic system, and the remaining power of the energy storage system within the preset time period; the first output ratio is represented by the following formula:

[0102]

[0103]

[0104]

[0105] Among them, λ wind represents the first output ratio of the wind power system, λ sun represents the first output ratio of the photovoltaic system, λ ESS represents the first output ratio of the energy storage system, and E 总 represents the predicted electricity demand within the preset time period; E sun represents the power generation of the photovoltaic system, and E wind is the power generation of the wind power system, and E ESS is 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 the wind power, photovoltaic, and energy storage systems, thus realizing the optimal utilization of energy. When the power generation of wind power and photovoltaic is sufficient, these renewable energies can be given priority; when the power generation is insufficient, the remaining power of the energy storage system can be called to make up for it.

[0106] Obtain the 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 by 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 state 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 usable degree of the energy storage unit, Expected SOH represents the expected health state, and ExpectedCycleLife represents the expected cycle life; the expected health state and expected cycle life can be obtained through experience. By calculating the cycle life and health state (SOH) of the energy storage unit, the remaining service life of the energy storage unit can be predicted more accurately, 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 usable degree, the management of each energy storage unit in the energy storage system can be realized. According to the actual conditions of each energy storage unit for output distribution, overuse or idleness can be avoided, thereby extending the overall life of the energy storage device and reducing the operation and maintenance costs.

[0111] Calculate the second output ratio of each energy storage unit according to the usable degree of each energy storage unit and the remaining power of the energy storage system within a preset time period; 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 usable degree of the i-th energy storage unit, and n represents the total number of energy storage units.

[0114] Perform coordinated control on the wind-solar-storage power station according to the first output ratio and the second output ratio.

[0115] In this embodiment, by collecting environmental parameters and predicting the power generation of the wind power system and the photovoltaic system within a preset time period based on this, combined with the remaining power of the energy storage system and the prediction of power consumption demand, various energy resources can be allocated more precisely, energy waste can be avoided, and the overall energy utilization efficiency can be improved. By comprehensively considering the power generation, remaining power, and power consumption demand of the 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 power 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 realized. By allocating the output according to the actual conditions of each energy storage unit, overuse or idleness can be avoided, thereby extending the overall life of the energy storage device and reducing the operation and maintenance costs.

[0116] Embodiment 2

[0117] A coordinated control system for a wind-solar-storage power station based on the assessment of two regulations, the wind-solar-storage power station includes a wind power system, a photovoltaic system, and an energy storage system, and the control system includes:

[0118] Acquisition module: Collect environmental parameters, where the environmental parameters include wind parameters and light parameters;

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

[0120] Second prediction module: Predict the power generation of the photovoltaic system within a preset time period according to the light parameters;

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

[0122] Third prediction module: Predict the power consumption demand within a preset time period;

[0123] First calculation module: Calculate the first output ratio of the wind power system, photovoltaic system, and energy storage system according to the power consumption 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] Second calculation module: Obtain the 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;

[0125] Third calculation module: Calculate 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] Coordinated control module: Coordinate and control the wind-solar-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 for illustrative explanation or interpretation of the principles of the present invention, and do not constitute a limitation to the present invention. Therefore, any modifications, equivalent replacements, improvements, etc. made without departing from the spirit and scope of the present invention shall be included within the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all variations and modifications that fall within the scope and boundaries of the appended claims, or 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 only for illustrative purposes and not for limiting 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, those skilled in the art can make various substitutions and modifications, and these substitutions and modifications should 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 various changes, substitutions and alterations can be made to the embodiments of the present invention without departing from the spirit and scope of the present invention.

[0130] Obviously, the above embodiments are only examples given for clear illustration and not limitations to the embodiments. For those of ordinary skill in the art, other different forms of changes or alterations can be made based on the above description. It is not necessary and impossible to enumerate all the embodiments here. And the obvious changes or alterations derived therefrom are still within the protection scope of the present invention.

Claims

1. A coordinated control method for a wind-solar-storage power station under the assessment of two detailed rules, characterized in that, The wind-solar-storage power station includes a wind power system, a photovoltaic system, and a energy storage system, and the method includes: Collect environmental parameters, where the environmental parameters include wind parameters and light parameters; Predict the power generation of the wind power system within a preset time period according to the wind parameters; Predict the power generation of the photovoltaic system within a preset time period according to the light parameters; Obtain the remaining power of the energy storage system within a preset time period; Predict the electricity demand within a preset time period; According to the electricity 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, calculate the first output ratio of the wind power system, the photovoltaic system, and the energy storage system, and the first output ratio is expressed by the following formula: Among them, λ wind represents the first output ratio of the wind power system, λ sun represents the first output ratio of the photovoltaic system, λ ESS represents the first output ratio of the energy storage system, E 总 represents the predicted electricity demand within a preset time period; E sun represents the power generation of the photovoltaic system, E wind is the power generation of the wind power system, E ESS is the remaining power of the power generation of the energy storage system; Obtain the life parameters of each energy storage unit in the energy storage system, and based on the life parameters, calculate the usability of each energy storage unit. The usability of each energy storage unit is calculated by the following formula: Where CycleLife 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 state of the energy storage unit, RemainingCapacity is the current remaining capacity of the energy storage unit, and Initia lCapacity 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 state, and Expected Cycle Life represents the expected cycle life; According to the usability of each energy storage unit and the remaining power of the energy storage system within a preset time period, calculate the second output ratio of each energy storage unit. The second output ratio is calculated by the following formula: Among them, R i represents the second output ratio of the i-th energy storage unit; U i is the usability of the i-th energy storage unit, and n represents the total number of energy storage units; According to the first output ratio and the second output ratio, perform coordinated control on the wind-solar-storage power station.

2. The control method according to claim 1, wherein The predicting the power generation of the wind power system within a preset time period according to the wind parameters includes: Calculate and obtain the power generation of the wind power system by using the following formula: 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 impeller radius of the wind turbine, 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 the preset time period, represents 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, wherein The predicting the power generation of the photovoltaic system within a preset time period according to the light parameters includes: Use the light parameters to calculate the radiation exposure amount, and the radiation exposure amount is calculated by the following formula: Where H represents the radiation exposure amount, H1 represents the direct solar radiation exposure amount on the horizontal plane, H2 represents the scattered radiation exposure amount on the horizontal plane, α represents the attenuation coefficient of the direct radiation exposure amount, β represents the inclination angle between the photovoltaic system and the horizontal plane, and H3 represents the solar radiation exposure amount on the horizontal plane outside the atmosphere.

4. The control method according to claim 3, characterized in that The predicting the power generation of the photovoltaic system within a preset time period according to the light parameters further includes: Calculate the power generation of the photovoltaic system by using the following formula: Among them, E sun represents the power generation of the photovoltaic system, H represents the radiation exposure, and P az represents the installed capacity, and E sc represents the irradiance under STC conditions, and 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, wherein Predicting the electricity demand within a preset time period includes: Obtain a number of historical time periods similar to the preset time period; Respectively obtain the period coefficients between a number of historical time periods and the preset time period; Use the period coefficients and the electricity demands of a number of historical time periods to predict the electricity demand within the preset time period.

6. The control method according to claim 5, wherein: The obtaining of a plurality of historical time periods similar to the preset time period includes: 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, it is a similar time period; The similarity is calculated using the following formula: Among them, Q represents the similarity; represents the average value of each feature in the preset time period, represents the average value of each feature in 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 cycle 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 two time periods before the i-th similar time period, Z end-i represents the electricity consumption data of the time period before the i-th similar time period, S first-1 represents the electricity consumption data of the two previous time periods, S end-1 represents the electricity consumption data of the previous time period.

7. A coordinated control system for a wind-solar-storage power station under the assessment of two detailed rules, characterized in that, The wind-solar-storage power station includes a wind power system, a photovoltaic system, and a energy storage system, and the control system includes: A collection module: collecting environmental parameters, where the environmental parameters include wind power 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 power parameters; A second prediction module: predicting the power generation of the photovoltaic system within a preset time period according to the light parameters; An obtaining module: obtaining the remaining power of the energy storage system within a preset time period; A third prediction module: predicting the power consumption demand within a preset time period; A first calculation module: calculating a first output ratio of the wind power system, the photovoltaic system, and the energy storage system according to the power consumption 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, and the first output ratio is expressed by the following formula: Among them, λ wind represents the first output ratio of the wind power system, λ sun represents the first output ratio of the photovoltaic system, λ ESS represents the first output ratio of the energy storage system, E 总 represents the predicted electricity demand within the preset time period; E sun represents the power generation of the photovoltaic system, E wind is the power generation of the wind power system, E ESS is the remaining power of the power generation of the energy storage system; A second calculation module: obtaining the 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, and the usability of each energy storage unit is calculated using the following formula: Wherein, Cycle Life represents the cycle life of the energy storage unit, Total Cycles represents the total number of cycles of the energy storage unit, Cycles per Day is the number of cycles per day, and Days per Year is the number of days per year; SOH represents the health state 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 state, and Expected Cycle Life represents the expected cycle life; A third calculation module: calculating a 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, and 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 usability of the i-th energy storage unit, and n represents the total number of energy storage units; A coordinated control module: performing coordinated control on the wind-solar-storage power station according to the first output ratio and the second output ratio.

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