A method and system for controlling an energy storage system of an auxiliary photovoltaic power station

Abstract

The present invention provides a method and system for controlling an energy storage system of an auxiliary photovoltaic power station, relating to the technical field of photovoltaic power generation. The method comprises: obtaining historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station, and constructing a photovoltaic energy storage benefit model; predicting the future power generation of the photovoltaic power station according to the photovoltaic power generation prediction model, and determining the expected output of the energy storage system at a future time in combination with the output balance condition; based on the photovoltaic energy storage benefit model, determining a first energy storage system parameter corresponding to maximum benefit, and adjusting a second energy storage system parameter consistent with the expected output at a future auxiliary time to maximize benefit, thereby achieving control of the energy storage system and improving the energy storage benefit of the photovoltaic power station.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and in particular to a method and system for controlling an energy storage system of an auxiliary photovoltaic power station. Background Art

[0002] Photovoltaic power generation is increasingly being applied to power generation systems, and its share is also increasing. However, photovoltaic power generation is subject to significant volatility and uncertainty due to weather conditions, which can impact the stable operation of the power grid. Therefore, photovoltaic power plants often install energy storage systems to supplement photovoltaic power generation. However, energy storage systems typically adjust energy storage based on preset parameters, which cannot maximize storage benefits.

[0003] Therefore, the present invention provides a method and system for controlling an energy storage system of an auxiliary photovoltaic power station. Summary of the Invention

[0004] The present invention provides a control method and system for an energy storage system of an auxiliary photovoltaic power station. The method is used to construct a photovoltaic energy storage benefit model based on the photovoltaic power station's historical power generation data, historical energy storage data, and historical energy storage benefits, predict future power generation conditions, and determine the expected output of the energy storage system at future moments in combination with output balance conditions. Based on the photovoltaic energy storage benefit model, the first energy storage system parameters corresponding to the maximum benefit are determined, and the second energy storage system parameters consistent with the expected output are adjusted to maximize the benefit, thereby improving the energy storage benefit of the photovoltaic power station.

[0005] The present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station, comprising:

[0006] Step 1: Obtain historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station to build a photovoltaic energy storage benefit model;

[0007] Step 2: Use the photovoltaic power generation prediction model to predict the future power generation of the photovoltaic power station and, combined with the output balance conditions, determine the expected output of the energy storage system at the future time.

[0008] Step 3: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary time to maximize the benefit, thereby achieving control of the energy storage system.

[0009] Preferably, historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station are obtained to construct a photovoltaic energy storage benefit model, including:

[0010] Determine the power generation-energy storage function based on the historical power generation and corresponding historical energy storage at different historical moments;

[0011] Determine the historical energy storage power generation revenue based on the historical energy storage system output and corresponding historical electricity prices at different historical moments;

[0012] Determine the historical energy storage cost based on the historical unit stipulated consumption cost of energy storage and the corresponding historical energy storage system storage capacity;

[0013] A photovoltaic energy storage benefit model is constructed based on the power generation-energy storage function, historical energy storage power generation benefits, historical energy storage costs and historical energy storage benefits.

[0014] Preferably, a photovoltaic energy storage benefit model is constructed based on the power generation-energy storage function, historical energy storage power generation benefits, historical energy storage costs, and historical energy storage benefits, including:

[0015]

[0016] Where f(E1,E2) represents the power generation-energy storage function, E1 represents the historical power generation, and E2 represents the historical storage capacity. Pi represents the historical output of the energy storage system in the i-th period. Ai represents the historical electricity price in the i-th period. C represents the historical unit prescribed consumption cost of energy storage. Ei represents the historical storage capacity of the energy storage system in the i-th period. X represents the historical energy storage revenue. Y represents the photovoltaic energy storage revenue model.

[0017] Preferably, the future power generation of the photovoltaic power station is predicted based on the photovoltaic power generation prediction model, and the expected output of the energy storage system at a future time is determined in combination with the output balance condition, including:

[0018] Obtain future weather forecasts and predict the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model to obtain the future predicted power generation;

[0019] Determine the power generation prediction error of the photovoltaic power generation prediction model based on historical predicted power generation conditions and historical actual power generation conditions;

[0020] Determine weather forecast errors based on historical weather forecasts and historical actual weather conditions;

[0021] Determine the weather-power generation error impact coefficient based on the corresponding weather forecast error and power generation forecast error;

[0022] Based on the service life and usage environment of the photovoltaic modules of the photovoltaic power station, the aging of the photovoltaic modules is predicted and the theoretical corrosion factor of the photovoltaic modules is determined;

[0023] Based on the actual aging of the photovoltaic module, the theoretical corrosion factor is adjusted to determine the actual corrosion factor of the photovoltaic module;

[0024] determining the aging degree of the photovoltaic module at a future time based on the actual corrosion factor and the actual aging condition;

[0025] Determining an efficiency conversion coefficient of the photovoltaic module according to the aging degree and based on the aging-conversion factor;

[0026] Correcting the future predicted power generation situation based on the weather-power generation error influence coefficient and the efficiency conversion coefficient to determine the final future predicted power generation situation;

[0027] The estimated output of the energy storage system at a future moment is determined based on the final predicted future power generation situation and future power consumption situation, and in combination with the output balance condition.

[0028] Preferably, determining the expected output of the energy storage system at a future moment based on the final predicted future power generation situation and future power consumption situation, combined with the output balance condition, includes:

[0029] Determining whether the energy storage system needs to output power at a future time based on the final predicted future power generation situation and future power consumption situation;

[0030] If necessary, determining a first estimated output based on the final future predicted power generation situation and future power consumption situation;

[0031] Adjust the first estimated output based on the output balance condition and the current energy storage cost;

[0032] If not needed, it is determined that the expected output of the energy storage system at the future time is zero.

[0033] Preferably, based on the photovoltaic energy storage benefit model, determining the first energy storage system parameter corresponding to the maximum benefit includes:

[0034] Determine the maximum benefit based on the current energy storage cost, current power generation, and current electricity price, in combination with the photovoltaic energy storage benefit model;

[0035] Based on the maximum benefit, the corresponding first energy storage system parameters are reversely solved.

[0036] Preferably, the parameters of the second energy storage system consistent with the expected output at the future assisting moment are adjusted to maximize benefits to achieve control of the energy storage system, including:

[0037] Determining parameters of a second energy storage system based on the predicted output and in combination with the energy storage system;

[0038] According to the parameter adjustment directions of the first energy storage system parameter and the second energy storage system parameter, the second energy storage system parameter is maximally adjusted.

[0039] The present invention provides an energy storage system control system for an auxiliary photovoltaic power station, comprising:

[0040] Photovoltaic energy storage benefit model determination module: obtains historical power generation data, historical energy storage data, and historical energy storage benefits of photovoltaic power stations to build a photovoltaic energy storage benefit model;

[0041] Estimated output determination module: This module predicts the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model and, combined with the output balance conditions, determines the expected output of the energy storage system at the future moment.

[0042] Energy storage system coefficient determination module: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary moment to maximize the benefit, thereby realizing control of the energy storage system.

[0043] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0044] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0046] Figure 1 This is a flow chart of a method for controlling an energy storage system of an auxiliary photovoltaic power station according to an embodiment of the present invention;

[0047] Figure 2 This is a structural diagram of an energy storage system control system for an auxiliary photovoltaic power station in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] The embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station. Figure 1 Shown, including:

[0050] Step 1: Obtain historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station to build a photovoltaic energy storage benefit model;

[0051] Step 2: Use the photovoltaic power generation prediction model to predict the future power generation of the photovoltaic power station and, combined with the output balance conditions, determine the expected output of the energy storage system at the future time.

[0052] Step 3: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary time to maximize the benefit, thereby achieving control of the energy storage system.

[0053] In this embodiment, historical power generation data includes: historical power generation, historical electricity prices, etc., historical energy storage data includes: historical storage capacity, historical unit energy storage consumption cost, etc., historical energy storage benefits refer to historical net energy storage benefits, and the photovoltaic energy storage benefit model can determine the energy storage benefits under different energy storage parameters through power generation, electricity prices, and energy storage costs.

[0054] In this embodiment, the photovoltaic power generation prediction model can predict photovoltaic power generation based on predicted weather data and is trained in advance. The future power generation situation refers to the power generation at a future time. The output balance condition refers to the balance between the future predicted power generation and the expected output of the energy storage system and the future power consumption and the expected energy storage of the energy storage system. The expected output refers to the expected output power of the energy storage system at a future time.

[0055] In this embodiment, the first energy storage system parameter is the energy storage power and energy storage capacity corresponding to the energy storage system when the benefit is maximized according to the photovoltaic energy storage benefit model, and the second energy storage system parameter is the energy storage power and energy storage capacity consistent with the expected output.

[0056] The beneficial effects of the above technical solution are: through the historical power generation data, historical energy storage data and historical energy storage benefits of the photovoltaic power station, a photovoltaic energy storage benefit model is constructed to predict future power generation conditions. Combined with the output balance conditions, the expected output of the energy storage system at future times is determined. According to the photovoltaic energy storage benefit model, the first energy storage system parameters corresponding to the maximum benefit are determined, and the second energy storage system parameters consistent with the expected output are adjusted to maximize the benefit, thereby improving the energy storage benefit of the photovoltaic power station.

[0057] An embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station, which obtains historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station and constructs a photovoltaic energy storage benefit model, including:

[0058] Determine the power generation-energy storage function based on the historical power generation and corresponding historical energy storage at different historical moments;

[0059] Determine the historical energy storage power generation revenue based on the historical energy storage system output and corresponding historical electricity prices at different historical moments;

[0060] Determine the historical energy storage cost based on the historical unit stipulated consumption cost of energy storage and the corresponding historical energy storage system storage capacity;

[0061] A photovoltaic energy storage benefit model is constructed based on the power generation-energy storage function, historical energy storage power generation benefits, historical energy storage costs and historical energy storage benefits.

[0062] In this embodiment, the power generation-energy storage function is obtained by determining the historical energy storage-historical power generation image based on the historical power generation and historical energy storage, and fitting the image.

[0063] In this embodiment, the historical energy storage power generation income refers to the income of historical energy storage without deducting the cost, which is obtained by multiplying the historical energy storage system output at different historical moments by the corresponding historical electricity price.

[0064] In this embodiment, the historical energy storage unit consumption cost refers to the cost required for a unit of energy storage electricity, and the historical energy storage cost refers to the cost consumed by the historical storage energy in the corresponding period, which is obtained by multiplying the historical energy storage unit consumption cost and the storage energy of the corresponding historical energy storage system.

[0065] In this embodiment, the historical energy storage income refers to the historical energy storage net income, which is the income after deducting the cost.

[0066] The beneficial effects of the above technical solution are: determining the power generation-energy storage function through historical power generation and historical energy storage, determining the historical energy storage power generation benefits through historical energy storage system output and historical electricity prices, determining the historical energy storage costs through historical energy storage unit consumption costs and storage capacity, and determining the photovoltaic energy storage benefit model based on historical energy storage benefits, laying the foundation for the subsequent determination of the first energy storage system parameters.

[0067] An embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station. The method constructs a photovoltaic energy storage benefit model based on a power generation-energy storage function, historical energy storage power generation benefits, historical energy storage costs, and historical energy storage benefits. The method includes:

[0068]

[0069] Where f(E1,E2) represents the power generation-energy storage function, E1 represents the historical power generation, and E2 represents the historical storage capacity. Pi represents the historical output of the energy storage system in the i-th period. Ai represents the historical electricity price in the i-th period. C represents the historical unit prescribed consumption cost of energy storage. Ei represents the historical storage capacity of the energy storage system in the i-th period. X represents the historical energy storage revenue. Y represents the photovoltaic energy storage revenue model.

[0070] The beneficial effect of the above technical solution is: through the power generation-energy storage function, historical energy storage system output, historical electricity prices, historical energy storage unit consumption costs, and historical energy storage system storage capacity, a photovoltaic energy storage benefit model is constructed, laying the foundation for the subsequent determination of the first energy storage system parameters.

[0071] An embodiment of the present invention provides a method for controlling an energy storage system for an auxiliary photovoltaic power station. The method predicts the future power generation of the photovoltaic power station based on a photovoltaic power generation prediction model and determines the expected output of the energy storage system at a future time in combination with output balance conditions. The method includes:

[0072] Obtain future weather forecasts and predict the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model to obtain the future predicted power generation;

[0073] Determine the power generation prediction error of the photovoltaic power generation prediction model based on historical predicted power generation conditions and historical actual power generation conditions;

[0074] Determine weather forecast errors based on historical weather forecasts and historical actual weather conditions;

[0075] Determine the weather-power generation error impact coefficient based on the corresponding weather forecast error and power generation forecast error;

[0076] Based on the service life and usage environment of the photovoltaic modules of the photovoltaic power station, the aging of the photovoltaic modules is predicted and the theoretical corrosion factor of the photovoltaic modules is determined;

[0077] Based on the actual aging of the photovoltaic module, the theoretical corrosion factor is adjusted to determine the actual corrosion factor of the photovoltaic module;

[0078] determining the aging degree of the photovoltaic module at a future time based on the actual corrosion factor and the actual aging condition;

[0079] Determining an efficiency conversion coefficient of the photovoltaic module according to the aging degree and based on the aging-conversion factor;

[0080] Correcting the future predicted power generation situation based on the weather-power generation error influence coefficient and the efficiency conversion coefficient to determine the final future predicted power generation situation;

[0081] The estimated output of the energy storage system at a future moment is determined based on the final predicted future power generation situation and future power consumption situation, and in combination with the output balance condition.

[0082] In this embodiment, the future weather forecast can be obtained based on the weather forecast of the Meteorological Bureau, and the future predicted power generation situation refers to the power generation at a future time.

[0083] In this embodiment, the power generation prediction error is the difference between the historical predicted power generation and the corresponding historical actual power generation.

[0084] In this embodiment, the weather prediction error is the prediction error of each weather data determined by the historical weather prediction situation and the historical actual weather situation. For example, the historical weather prediction temperature is 10 degrees Celsius, and the historical actual weather temperature is 13 degrees Celsius, and the temperature prediction error is 3 degrees Celsius.

[0085] In this embodiment, the weather-power generation error influence coefficient is obtained by constructing a weather-power generation error function based on the weather forecast error and the corresponding power generation forecast error, and extracting the coefficient therein. The specific construction process is as follows:

[0086] Performing time alignment processing on the historical predicted power generation situation and the historical weather forecast situation to construct a first array, and performing time alignment processing on the historical actual power generation situation and the historical actual weather situation to construct a second array;

[0087] Performing time alignment processing on the weather forecast error and the power generation forecast error to construct a third array;

[0088] Performing a first power generation peak point screening and a first power generation valley point screening on the first array, and calculating a first comparison coefficient D01 of the first power generation peak point and a second comparison coefficient D02 of the second power generation valley point;

[0089]

[0090]

[0091] Among them, q1 j01 f1 represents the value of the predicted weather conditions corresponding to the j01th first power generation peak point; j01 represents the power generation value of the j01th first power generation peak point; z1 j01 represents the power generation weather conversion coefficient of the j01th first power generation peak point; |z1 j01 f1 j01 -q1 j01 | represents the absolute value of the first difference between the value of the predicted weather condition at the j01th first power generation peak point and the value after power generation conversion; (|z1 j01 f1 j01 -q1 j01 |) max represents the maximum value among all the absolute values of the first differences; n1 represents the number of the first power generation peak points screened; q2 j02 f2 represents the value of the predicted weather conditions corresponding to the j02th second power generation valley point; j02 represents the power generation value of the j02th second power generation valley point; z2 j02represents the power generation weather conversion coefficient of the j01th second power generation valley point; |z2 j02 f2 j02 -q2 j02 | represents the second absolute value of the difference between the value of the predicted weather condition at the j02th second power generation valley point and the value after power generation conversion; (|z2 j02 f2 j02 -q2 j02 |) max represents the maximum value among all the absolute values of the second differences; n2 represents the number of screened second power generation valley points;

[0092] Calculating a first deviation coefficient P01 corresponding to the first array according to the first contrast coefficient and the second contrast coefficient;

[0093]

[0094] Among them, In represents the logarithmic function symbol; h01 represents all z1 j01 f1 j01 -q1 j01 The number of z1 is greater than or equal to 0; h02 represents all z1 j01 f1 j01 -q1 j01 The number of values less than 0; h03 represents all z2 j02 f2 j02 -q2 j02 The number of z2 is greater than or equal to 0; h04 represents all z2 j02 f2 j02 -q2 j02 The number of values less than 0 in

[0095] At the same time, calculating the second deviation coefficient P02 of the second array and the third deviation coefficient P03 of the third array;

[0096] If the ratio of the average value of the first deviation coefficient P01 and the second deviation coefficient P02 to the third deviation coefficient P03 is within a preset range, a weather-power generation error influence coefficient is constructed according to the corresponding weather forecast error and power generation forecast error;

[0097] Otherwise, based on the first deviation coefficient, the second deviation coefficient and the corresponding weather forecast error and power generation forecast error, a weather-power generation error influence coefficient is determined to construct a weather-power generation error influence coefficient.

[0098] In this embodiment, by introducing the first deviation coefficient and the second deviation coefficient, it is ensured that the error influence coefficient is obtained more reasonably. For example, the original error influence coefficient is 0.3, but after introducing the first deviation coefficient and the second deviation coefficient, the error influence coefficient is 0.2. At this time, it is an improvement on the error coefficient.

[0099] In this embodiment, there are two rows in the first array and the second array. The first row is the power generation conditions at different times, and the second row is the historical weather conditions at different times. They are aligned one by one according to time, and the third array is similar in sequence.

[0100] In this embodiment, the use environment refers to the average temperature and humidity of the use environment, etc., and the aging condition prediction refers to the aging percentage of the photovoltaic module, which is determined based on the prediction model and the input of the use environment. The prediction model is trained in advance based on the use environment and aging conditions. The theoretical corrosion factor is obtained based on the ratio of the aging conditions to the service life.

[0101] In this embodiment, the actual aging condition refers to the actual aging percentage of the photovoltaic module.

[0102] In this embodiment, the aging degree at a future time = actual aging condition - actual corrosion factor × future time.

[0103] In this embodiment, the aging-conversion factor refers to the effect of light energy conversion corresponding to the aging degree of the photovoltaic module, and the efficiency conversion coefficient is 1-aging-conversion factor.

[0104] In this embodiment, the final future predicted power generation situation=future predicted power generation situation×weather-power generation error impact coefficient×efficiency conversion coefficient.

[0105] In this embodiment, the estimated output is determined based on the final future predicted power generation and future electricity consumption to determine whether the estimated output is needed, and the first estimated output is determined based on the difference between the final future predicted power generation and future electricity consumption, and the first estimated output is adjusted based on the output balance condition and the current energy storage cost.

[0106] The beneficial effects of the above technical solution are: determining the weather-power generation error influence coefficient through weather forecast error and power generation forecast error, adjusting the theoretical corrosion factor according to the actual aging of the photovoltaic components, determining the actual corrosion factor, determining the aging degree of the photovoltaic components at future times, determining the efficiency conversion coefficient based on the aging-conversion factor, and correcting the future predicted power generation situation based on the weather-power generation error influence coefficient, and determining the expected output of the energy storage system in combination with the output balance condition, thereby improving the accuracy of the expected output and laying the foundation for the subsequent determination of the parameters of the second energy storage system.

[0107] An embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station, which determines the expected output of the energy storage system at a future time based on the final future predicted power generation and future power consumption, and in combination with an output balance condition, including:

[0108] Determining whether the energy storage system needs to output power at a future time based on the final predicted future power generation situation and future power consumption situation;

[0109] If necessary, determining a first estimated output based on the final future predicted power generation situation and future power consumption situation;

[0110] Adjust the first estimated output based on the output balance condition and the current energy storage cost;

[0111] If not needed, it is determined that the expected output of the energy storage system at the future time is zero.

[0112] In this embodiment, whether output is required is when the final predicted future power generation is less than the future power consumption, the energy storage system needs to output; when the final predicted future power generation is greater than or equal to the future power consumption, no output is required.

[0113] In this embodiment, the first predicted output is the difference between the final future predicted power generation and the future power consumption.

[0114] In this embodiment, according to the output balance condition, the first predicted output is increased, and part of the future predicted power generation is stored.

[0115] The beneficial effect of the above technical solution is: by ultimately predicting future power generation and future electricity consumption, it is determined whether the energy storage system will need to output power at a future time, the expected output is determined, and the expected output is adjusted based on the output balance conditions and the current energy storage cost, laying the foundation for the subsequent determination of the parameters of the second energy storage system.

[0116] An embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station, which determines, based on the photovoltaic energy storage benefit model, a first energy storage system parameter corresponding to maximum benefit, including:

[0117] Determine the maximum benefit based on the current energy storage cost, current power generation, and current electricity price, in combination with the photovoltaic energy storage benefit model;

[0118] Based on the maximum benefit, the corresponding first energy storage system parameters are reversely solved.

[0119] In this embodiment, the maximum benefit is obtained by bringing the current energy storage cost, current power generation and current electricity price into the photovoltaic energy storage benefit model and changing the energy storage output.

[0120] In this embodiment, the reverse solution is to determine the corresponding energy storage power and energy storage capacity based on the energy storage output corresponding to the maximum benefit.

[0121] The beneficial effect of the above technical solution is: through the photovoltaic energy storage benefit model and the current energy storage cost, current power generation and current electricity price, the maximum benefit is determined, and the reverse solution is used to determine the corresponding energy storage system parameters, which lays the foundation for the subsequent adjustment of the energy storage system parameters and indirectly improves the energy storage benefit.

[0122] An embodiment of the present invention provides a method for controlling an energy storage system of an auxiliary photovoltaic power station, which maximizes the benefits of adjusting parameters of a second energy storage system that is consistent with the expected output at a future auxiliary time, thereby controlling the energy storage system, including:

[0123] Determining parameters of a second energy storage system based on the predicted output and in combination with the energy storage system;

[0124] According to the parameter adjustment directions of the first energy storage system parameter and the second energy storage system parameter, the second energy storage system parameter is maximally adjusted.

[0125] In this embodiment, the second energy storage system parameter is the energy storage power and energy storage capacity of the corresponding energy storage system determined according to the expected output.

[0126] In this embodiment, the parameter adjustment direction is to adjust the second energy storage system parameters in the direction of expected output increase, and the maximum adjustment is based on maximizing benefits, and the second energy storage system parameters are adjusted as close as possible to the first energy storage system parameters.

[0127] The beneficial effects of the above technical solution are: by predicting the output and energy storage system, determining the parameters of the second energy storage system, adjusting the parameter direction of the second energy storage system parameters based on the parameters of the first energy storage system, and improving the energy storage benefit.

[0128] An energy storage system control system for an auxiliary photovoltaic power station, such as Figure 2 Shown, including:

[0129] Photovoltaic energy storage benefit model determination module: obtains historical power generation data, historical energy storage data, and historical energy storage benefits of photovoltaic power stations to build a photovoltaic energy storage benefit model;

[0130] Estimated output determination module: This module predicts the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model and, combined with the output balance conditions, determines the expected output of the energy storage system at the future moment.

[0131] Energy storage system coefficient determination module: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary moment to maximize the benefit, thereby realizing control of the energy storage system.

[0132] The beneficial effects of the above technical solution are: through the historical power generation data, historical energy storage data and historical energy storage benefits of the photovoltaic power station, a photovoltaic energy storage benefit model is constructed to predict future power generation conditions. Combined with the output balance conditions, the expected output of the energy storage system at future times is determined. According to the photovoltaic energy storage benefit model, the first energy storage system parameters corresponding to the maximum benefit are determined, and the second energy storage system parameters consistent with the expected output are adjusted to maximize the benefit, thereby improving the energy storage benefit of the photovoltaic power station.

[0133] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for controlling an energy storage system of an auxiliary photovoltaic power station, characterized in that: include: Step 1: Obtain historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station to build a photovoltaic energy storage benefit model; Step 2: Use the photovoltaic power generation prediction model to predict the future power generation of the photovoltaic power station and, combined with the output balance conditions, determine the expected output of the energy storage system at the future time. Step 3: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary time to maximize the benefit, thereby achieving control of the energy storage system; Wherein, based on the photovoltaic energy storage benefit model, determining the first energy storage system parameter corresponding to the maximum benefit includes: Determine the maximum benefit based on the current energy storage cost, current power generation, and current electricity price, in combination with the photovoltaic energy storage benefit model; Based on the maximum benefit, reversely solving the corresponding first energy storage system parameters; The benefit maximization adjustment of the parameters of the second energy storage system consistent with the expected output at the future auxiliary moment is performed to achieve control of the energy storage system, including: Determining parameters of a second energy storage system based on the predicted output and in combination with the energy storage system; Adjust the second energy storage system parameters as close as possible to the first energy storage system parameters.

2. The method for controlling an energy storage system of an auxiliary photovoltaic power station according to claim 1, wherein: Obtain historical power generation data, historical energy storage data, and historical energy storage benefits of the photovoltaic power station to build a photovoltaic energy storage benefit model, including: Determine the power generation-energy storage function based on the historical power generation and corresponding historical energy storage at different historical moments; Determine the historical energy storage power generation revenue based on the historical energy storage system output and corresponding historical electricity prices at different historical moments; Determine the historical energy storage cost based on the historical unit stipulated consumption cost of energy storage and the corresponding historical energy storage system storage capacity; A photovoltaic energy storage benefit model is constructed based on the power generation-energy storage function, historical energy storage power generation benefits, historical energy storage costs and historical energy storage benefits.

3. The method for controlling an energy storage system of an auxiliary photovoltaic power station according to claim 2, wherein: Based on the power generation-storage function, historical energy storage power generation benefits, historical energy storage costs, and historical energy storage benefits, a photovoltaic energy storage benefit model is constructed, including: in, represents the power generation-energy storage function, E1 represents the historical power generation, E2 represents the historical storage capacity; Pi represents the historical output of the energy storage system in the i-th period; ai represents the historical electricity price in the i-th period; represents the unit stipulated consumption cost of historical energy storage; Ei represents the storage capacity of the historical energy storage system in the i-th period; X represents the historical energy storage income; Y represents the photovoltaic energy storage income model.

4. The method for controlling an energy storage system of an auxiliary photovoltaic power station according to claim 1, wherein: The photovoltaic power generation prediction model is used to predict the future power generation of the photovoltaic power station. Combined with the output balance conditions, the expected output of the energy storage system at the future moment is determined, including: Obtain future weather forecasts and predict the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model to obtain the future predicted power generation; Determine the power generation prediction error of the photovoltaic power generation prediction model based on historical predicted power generation conditions and historical actual power generation conditions; Determine weather forecast errors based on historical weather forecasts and historical actual weather conditions; Determine the weather-power generation error impact coefficient based on the corresponding weather forecast error and power generation forecast error; Based on the service life and usage environment of the photovoltaic modules of the photovoltaic power station, the aging of the photovoltaic modules is predicted and the theoretical corrosion factor of the photovoltaic modules is determined; Based on the actual aging of the photovoltaic module, the theoretical corrosion factor is adjusted to determine the actual corrosion factor of the photovoltaic module; determining the aging degree of the photovoltaic module at a future time based on the actual corrosion factor and the actual aging condition; Determining an efficiency conversion coefficient of the photovoltaic module according to the aging degree and based on the aging-conversion factor; Correcting the future predicted power generation situation based on the weather-power generation error influence coefficient and the efficiency conversion coefficient to determine the final future predicted power generation situation; The estimated output of the energy storage system at a future moment is determined based on the final predicted future power generation situation and future power consumption situation, and in combination with the output balance condition.

5. The method for controlling an energy storage system of an auxiliary photovoltaic power station according to claim 4, wherein: Based on the final predicted future power generation and future power consumption, and in combination with the output balance condition, the expected output of the energy storage system at a future moment is determined, including: Determining whether the energy storage system needs to output power at a future time based on the final predicted future power generation situation and future power consumption situation; If necessary, determining a first estimated output based on the final future predicted power generation situation and future power consumption situation; Adjust the first estimated output based on the output balance condition and the current energy storage cost; If not needed, it is determined that the expected output of the energy storage system at the future time is zero.

6. An energy storage system control system for an auxiliary photovoltaic power station, characterized in that: include: Photovoltaic energy storage benefit model determination module: obtains historical power generation data, historical energy storage data, and historical energy storage benefits of photovoltaic power stations to build a photovoltaic energy storage benefit model; Estimated output determination module: This module predicts the future power generation of the photovoltaic power station based on the photovoltaic power generation prediction model and, combined with the output balance conditions, determines the expected output of the energy storage system at the future moment. Energy storage system coefficient determination module: Based on the photovoltaic energy storage benefit model, determine the first energy storage system parameters corresponding to the maximum benefit, and adjust the second energy storage system parameters consistent with the expected output at the future auxiliary time to maximize the benefit, thereby achieving control of the energy storage system; Among them, the energy storage system coefficient determination module is used to: Determine the maximum benefit based on the current energy storage cost, current power generation, and current electricity price, in combination with the photovoltaic energy storage benefit model; Based on the maximum benefit, reversely solving the corresponding first energy storage system parameters; The energy storage system coefficient determination module is also used to: Determining parameters of a second energy storage system based on the predicted output and in combination with the energy storage system; Adjust the second energy storage system parameters as close as possible to the first energy storage system parameters.

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