Load adjusting method of optical storage and charging system

Abstract

The invention relates to the technical field of light storage and charging load adjustment, in particular to a load adjustment method for a light storage and charging system, which comprises the following steps: collecting light storage and charging data; acquiring a battery electric energy stability parameter according to the charging power and the discharging power of the light storage charging battery; acquiring a battery electric energy stability parameter according to the charging power and the discharging power of the light storage charging battery; according to the charging power of the light storage charging battery, obtaining light storage charging prediction charging power and prediction load demand power; acquiring an electric energy reserve parameter at the next moment according to the light storage charging predicted charging power and the electric energy stability parameter; obtaining a load adjustment parameter according to the electric energy reserve parameter and the load demand power; obtaining the output power of the light storage rechargeable battery at the next moment according to the load adjustment parameter and the load demand power; acquiring an electric energy reserve parameter corresponding to each moment after the next moment according to the output power of the light storage rechargeable battery and the electric energy stability parameter at the next moment; and obtaining the load adjustment power according to the electric energy reserve parameter corresponding to each moment after the next moment. The electric energy waste of the optical storage and charging system is reduced, and the adjustment effect of the optical storage and charging system on the power grid is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of load adjustment for photovoltaic energy storage charging, and specifically relates to a method for load adjustment of a photovoltaic energy storage charging system. Background Art

[0002] A photovoltaic energy storage charging system is an energy management system that combines a solar photovoltaic power generation system and a battery energy storage system. It can store the electric energy generated by the solar power generation system in the battery for future use, and at the same time, it can supply the electric energy stored in the battery to the load for use. Load adjustment refers to adjusting the operation mode and power supply method of the photovoltaic energy storage charging system according to the change of load demand to achieve efficient utilization of energy and balance of load.

[0003] In a traditional photovoltaic energy storage charging system, the energy storage capacity of the battery is limited. Once the energy storage capacity reaches the upper limit, the excess solar energy cannot be stored, resulting in waste of energy. Directly adjusting the load according to the battery charging power may not be able to adapt to the grid load. When the grid load is high and the energy storage is insufficient, the photovoltaic energy storage charging system may not have enough electric energy to adjust the grid load. Summary of the Invention

[0004] The present invention provides a method for load adjustment of a photovoltaic energy storage charging system to solve the existing problems.

[0005] The method for load adjustment of a photovoltaic energy storage charging system of the present invention adopts the following technical solutions:

[0006] An embodiment of the present invention provides a method for load adjustment of a photovoltaic energy storage charging system, and the method includes the following steps:

[0007] Collect photovoltaic energy storage charging data;

[0008] Obtain the battery power stability parameter according to the charging power and discharging power of the photovoltaic energy storage battery; Select different windows to predict historical data to obtain prediction values; Select different windows to predict historical data to obtain prediction values; Obtain the difference factor according to the prediction value and the actual value; Obtain the degree of difference according to different difference factors; Select an appropriate window size according to the degree of difference; Obtain the predicted charging power and predicted load demand power of the photovoltaic energy storage according to the charging power of the photovoltaic energy storage battery; Obtain the next moment's power storage parameter according to the predicted charging power of the photovoltaic energy storage and the power stability parameter; Obtain the load adjustment parameter according to the power storage parameter and the load demand power; Obtain the output power of the photovoltaic energy storage battery at the next moment according to the load adjustment parameter and the load demand power; Obtain the power storage parameter corresponding to each moment after the next moment according to the output power of the photovoltaic energy storage battery at the next moment and the power stability parameter;

[0009] Obtain the load adjustment power according to the power storage parameter corresponding to each moment after the next moment.

[0010] Further, the load adjustment method of the photovoltaic-storage-charging system is characterized in that the specific steps included in the electric energy stability parameter are as follows:

[0011]

[0012] In the formula, W sta represents the electric energy stability parameter, C in，i represents the charging power of the photovoltaic-storage-charging battery collected at the i-th moment, with the unit of kW, C out，i represents the discharging power of the photovoltaic-storage-charging battery collected at the i-th moment, T represents the collection time interval, 720 / T represents the number of collected data, and t represents the number of days of collected data.

[0013] Further, the load adjustment method of the photovoltaic-storage-charging system is characterized in that the specific steps included in obtaining the difference factor according to the predicted value and the actual value are as follows:

[0014]

[0015] In the formula, Dif(Y r，e ) represents the difference factor corresponding to the e-th group of data in the time series among all the collected data when the window size is Y r , Y r represents the window size, C in，j represents the charging power of the photovoltaic-storage-charging battery corresponding to the j-th group of data in the time series among all the collected data, and e represents the position subscript of the last group of data in the window among all the data.

[0016] Further, the load adjustment method of the photovoltaic-storage-charging system is characterized in that the specific steps included in obtaining the difference degree according to different difference factors are as follows:

[0017]

[0018] In the formula, DIF(Y r ) represents the difference degree when the window size is Y r , 721 - Y r represents the number of calculated difference factors, and Dif(Y r，I ) represents the difference factor corresponding to the I-th group of data in the time series among all the collected data when the window size is Y r .

[0019] Further, the load adjustment method of the photovoltaic-storage-charging system is characterized in that the specific steps included in obtaining the electric energy reserve parameter at the next moment according to the predicted charging power of the photovoltaic-storage-charging and the electric energy stability parameter are as follows:

[0020]

[0021] In the formula, K1 represents the load adjustment parameter at the next moment, T1 represents the electric energy reserve parameter at the next moment, Q1 represents the load demand power at the next moment, B represents the capacity of the photovoltaic energy storage charging battery, and q max represents the maximum load demand power in the collected data.

[0022] Furthermore, for the load adjustment method of the photovoltaic energy storage charging system, it is characterized in that obtaining the output power of the photovoltaic energy storage charging battery at the next moment according to the load adjustment parameter and the load demand power includes the following specific steps:

[0023]

[0024] In the formula, U1 represents the output power of the photovoltaic energy storage charging battery at the next moment, and C out，max represents the maximum output power of the photovoltaic energy storage charging battery obtained from the collected data, K1 represents the load adjustment parameter at the next moment, H1 represents the charging power of the photovoltaic energy storage charging battery at the next moment, and W sta represents the electric energy stability parameter.

[0025] Furthermore, for the load adjustment method of the photovoltaic energy storage charging system, it is characterized in that selecting an appropriate window size according to different difference factors includes the following specific steps:

[0026] Set the window sizes in sequence to all sizes within the value range of Y, compare the difference degrees corresponding to the windows under different window sizes, and select the window size corresponding to the minimum difference degree as the optimal window size, denoted as Y opt .

[0027] Furthermore, for the load adjustment method of the photovoltaic energy storage charging system, it is characterized in that obtaining the predicted charging power of the photovoltaic energy storage charging battery and the magnitude of the predicted load demand power according to the charging power of the photovoltaic energy storage charging battery includes the following specific steps:

[0028] When predicting the charging power of the photovoltaic energy storage charging battery at the next moment, use the window size of Y opt The moving average method can be used for prediction to obtain the charging power of the photovoltaic energy storage charging battery at the next moment, denoted as H1. Through this process, the charging power of the photovoltaic energy storage charging battery at each moment within the next day can be obtained. Similarly, the load demand power at the next moment can be obtained, denoted as Q1, and the load demand power at each moment within the next day can be obtained through this process.

[0029] Furthermore, for the load adjustment method of the photovoltaic energy storage charging system, it is characterized in that obtaining the electric energy reserve parameter corresponding to each moment after the next moment according to the output power of the photovoltaic energy storage charging battery at the next moment and the electric energy stability parameter includes the following specific steps:

[0030] Subtracting the corresponding actual output power of the photovoltaic energy storage charging battery from the electric energy storage parameter corresponding to the next moment and then adding the actual charging power of the photovoltaic energy storage charging battery corresponding to the moment after the next moment can obtain the electric energy storage parameter corresponding to the moment after the next moment. By analogy, the electric energy storage parameter corresponding to each data can be obtained.

[0031] Further, according to the method for adjusting the load of a photovoltaic energy storage charging system described in claim 1, it is characterized in that the specific steps of predicting historical data by selecting different windows to obtain predicted values are as follows:

[0032] Predict historical data by selecting different windows to obtain predicted values, compare the differences between all predicted values and actual values, and select the window size corresponding to the smallest difference between the predicted value and the actual value as the actual window size. The preset window size is Y, where the value range of Y is 3 - 24.

[0033] The beneficial effects of the technical solution of the present invention are as follows: By adjusting the output power of the photovoltaic energy storage charging battery according to the remaining battery power, charging power and load demand, it is possible to avoid the waste of electric energy caused by the battery being fully charged as much as possible, and when the grid load is high, higher electric energy can be provided to adjust the grid, reducing the grid load pressure. Description of the Drawings

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0035] Figure 1 It is a flowchart of the steps of a method for adjusting the load of a photovoltaic energy storage charging system of the present invention. Detailed Embodiments

[0036] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in combination with the drawings and preferred embodiments, describe in detail the specific embodiments, structures, features and effects of a method for adjusting the load of a photovoltaic energy storage charging system proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art belonging to the technical field of the present invention.

[0038] The following specifically describes the specific solution of a load adjustment method for a photovoltaic energy storage charging system provided by the present invention in conjunction with the accompanying drawings.

[0039] Please refer to Figure 1 , which shows a flowchart of the steps of a load adjustment method for a photovoltaic energy storage charging system provided by an embodiment of the present invention. The method includes the following steps:

[0040] Step S001, collect photovoltaic energy storage charging data.

[0041] It should be noted that the load adjustment of the photovoltaic energy storage charging system needs to adjust the discharge power of the photovoltaic energy storage charging system based on the charging power data of the photovoltaic energy storage battery and the charge demand at the corresponding moment, so as to achieve the purpose of stabilizing the current and saving energy.

[0042] Preset a time interval T and a collection number of days t. In this embodiment, T = 1 hour and t = 30 days are taken as examples for description. This embodiment is not specifically typical, and T and t are determined according to specific implementation situations.

[0043] Specifically, through the power sensor of the photovoltaic energy storage charging system, record and collect the charging power of the photovoltaic energy storage battery, the discharge power of the photovoltaic energy storage battery, the magnitude of the load demand power, and the capacity of the photovoltaic energy storage battery according to the preset time interval and number of days.

[0044] Step S002, obtain the battery power stability parameter according to the charging power and discharge power of the photovoltaic energy storage battery; select different windows to predict the historical data to obtain the predicted value; obtain the difference factor according to the predicted value and the actual value; select the appropriate window size according to different difference factors to obtain the predicted charging power of the photovoltaic energy storage and the magnitude of the predicted load demand power according to the charging power of the photovoltaic energy storage battery; obtain the next moment's power reserve parameter according to the predicted charging power of the photovoltaic energy storage and the power stability parameter; obtain the load adjustment parameter according to the power reserve parameter and the magnitude of the load demand power; obtain the output power of the photovoltaic energy storage battery at the next moment according to the load adjustment parameter and the load demand power, and obtain the corresponding power reserve parameter for each moment after the next moment according to the output power of the photovoltaic energy storage battery at the next moment and the power stability parameter.

[0045] 1. Obtain the battery power stability parameter according to the charging power and discharge power of the photovoltaic energy storage battery.

[0046] It should be noted that during the adjustment process of the discharge power of the photovoltaic energy storage charging system, the power of the battery itself needs to be considered. If the power is low, the output power may not be stable enough, which may increase the grid adjustment cost. Therefore, in this step, the battery power stability parameter is obtained through the charging power and discharge power of the photovoltaic energy storage battery to ensure the stability of the output power on the premise of ensuring sufficient discharge of the photovoltaic energy storage device.

[0047] Furthermore, it should be noted that since the charging of the photovoltaic energy storage charging battery depends on the light intensity, and the discharging of the photovoltaic energy storage charging battery has a certain regularity, that is, the charging power and discharging power of the photovoltaic energy storage charging battery have a certain periodicity. Also, since the charging power of the photovoltaic energy storage charging battery is 0 at night and the discharging power of the photovoltaic energy storage charging battery may be relatively low, in this step, the battery power stability parameter is obtained by calculating the average value of the battery power remaining.

[0048] Specifically, the power remaining is obtained based on the charging power and discharging power of the photovoltaic energy storage charging battery within a day, and then the power stability parameter is obtained through the power remaining within thirty days. The specific calculation formula is as follows:

[0049]

[0050] In the formula, W sta represents the power stability parameter, C in，i represents the charging power of the photovoltaic energy storage charging battery collected at the i-th moment, with the unit of kW, and C out，i represents the discharging power of the photovoltaic energy storage charging battery collected at the i-th moment. T represents the collection time interval, 720 / T represents the number of collected data, and t represents the number of days of collected data.

[0051] It should be noted that when the photovoltaic energy storage charging device is operating normally, when the device itself is not sufficient to supply the load demand, it will be coordinated through the power grid. Under normal circumstances, to maximize the energy supply of the photovoltaic energy storage charging device, the output electrical energy of the photovoltaic energy storage charging battery should be relatively close to the input electrical energy of the photovoltaic energy storage charging battery every day. To ensure stable electrical energy output, the photovoltaic energy storage charging battery needs to have a certain amount of power remaining. Calculating the power stability parameter in this step is to obtain the minimum power remaining when the photovoltaic energy storage charging battery outputs on average every day.

[0052] 2. Select different windows to predict historical data to obtain prediction values; obtain the difference factor based on the prediction values and actual values; obtain the degree of difference based on different difference factors; select an appropriate window size based on the degree of difference; obtain the predicted charging power and predicted load demand power of the photovoltaic energy storage charging battery based on the charging power of the photovoltaic energy storage charging battery; obtain the next moment's power reserve parameter based on the predicted charging power of the photovoltaic energy storage charging battery and the power stability parameter; obtain the load adjustment parameter based on the power reserve parameter and the load demand power; obtain the output power of the photovoltaic energy storage charging battery at the next moment based on the load adjustment parameter and the load demand power; obtain the corresponding power reserve parameter for each moment after the next moment based on the output power of the photovoltaic energy storage charging battery at the next moment and the power stability parameter.

[0053] It should be noted that for the photovoltaic-storage-charging system, the energy storage situation of the photovoltaic-storage-charging battery needs to be considered. To avoid energy waste, it is necessary to consume the electrical energy stored in the photovoltaic-storage-charging battery as much as possible and feed the electricity into the power grid. When judging the energy storage situation of the photovoltaic-storage-charging system, the charging power of the photovoltaic-storage-charging battery and the load demand power need to be considered. Therefore, it is necessary to predict the charging power of the photovoltaic-storage-charging battery at the next moment through the moving average method. When the traditional moving average method is used to predict the charging power of the photovoltaic-storage-charging battery, if the window in the moving average method is too large, the prediction result will lag behind the change of the actual data. This is because a larger window will smooth out the fluctuations in the short term, resulting in the prediction result reacting to the change of the actual data relatively slowly. On the contrary, if the window in the moving average method is too small, the prediction result will be affected by the fluctuations in the short term, resulting in the prediction result becoming more unstable. This is because a smaller window will react more sensitively to the recent fluctuations, making the prediction result vulnerable to noise.

[0054] Specifically, different windows are selected to predict the historical data to obtain the predicted values, and the differences between all the predicted values and the actual values are compared. The window size corresponding to the smallest difference between the predicted value and the actual value is selected as the actual window size. The preset window size is Y, where the value range of Y is 3 - 24, which is not specifically limited in this embodiment, and Y is determined according to the specific implementation situation.

[0055] Further, when the window size is Y r the difference factor corresponding to the e-th group of data in the time series among all the collected data under the current window size can be obtained. The specific formula is as follows:

[0056]

[0057] In the formula, Dif(Y r，e ) represents the difference factor corresponding to the e-th group of data in the time series among all the collected data when the window size is Y r , Y r represents the window size, C in，j represents the charging power of the photovoltaic-storage-charging battery corresponding to the j-th group of data in the time series among all the collected data, and e represents the position subscript of the last group of data in the window among all the data.

[0058] It should be noted that all the data collected at the same moment are recorded as a group of data. Through the above process, the difference factor corresponding to the e-th group of data in the time series among all the collected data when the window size is Y r can be obtained. Furthermore, the difference degree between the predicted value and the actual value when the window size is Y r can be obtained, which is denoted as the difference degree.

[0059] Specifically, the formula for calculating the difference degree when the window size is Y r is as follows:

[0060]

[0061] Wherein, DIF(Y r ) represents the degree of difference when the window size is Y r , 721 - Y r represents the number of difference factors calculated, and Dif(Y r，I ) represents the difference factor corresponding to the I-th group of data in the time series among all the collected data when the window size is Y r .

[0062] It should be noted that when the difference degree corresponding to the window is smaller, it indicates that the predicted data using this window is closer to the actual data, and the selection degree of this window is higher. Now, it is necessary to select the optimal window to predict the data.

[0063] Specifically, the window sizes are sequentially set to all sizes within the value range of Y, and the difference degrees corresponding to the windows under different window sizes are compared. The window size corresponding to the minimum difference degree is selected as the optimal window size, denoted as Y opt .

[0064] Furthermore, when predicting the charging power of the energy storage and charging battery at the next moment with the window size of Y opt , the moving average method is used for prediction, and the charging power of the energy storage and charging battery at the next moment can be obtained, denoted as H1. According to this process, the charging power of the energy storage and charging battery at each moment within the next day can be obtained.

[0065] Furthermore, similarly, the load demand power at the next moment can be obtained, denoted as Q1. According to this process, the load demand power at each moment within the next day can be obtained.

[0066] It should be noted that for the charging power of the energy storage and charging battery at the next moment predicted through the above process, the corresponding electric energy reserve parameters can be obtained. The electric energy reserve parameters need to consider the electric energy stability parameter, the charging power of the energy storage and charging battery, and the output power of the energy storage and charging battery. For the next moment, only the predicted charging power of the energy storage and charging battery is obtained, so only the electric energy stability parameter and the predicted charging power of the energy storage and charging battery need to be considered. For the electric energy reserve parameters corresponding to the next moment adjacent to the time series of the next moment, the output power of the energy storage and charging battery at the next moment also needs to be considered.

[0067] Specifically, adding the predicted charging power of the energy storage and charging battery and the electric energy stability parameter can obtain the electric energy reserve parameter at the next moment, denoted as T1.

[0068] It should be noted that the discharge power of the photovoltaic energy storage charging battery corresponding to the next moment needs to be adjusted according to the load adjustment parameters, and the load adjustment parameters need to be determined by combining the electric energy storage parameters with the load demand power. When the load demand power is larger, the electric energy storage parameters are larger, and the discharge power of the photovoltaic energy storage charging battery should be increased to save energy and consume the electric energy stored in the photovoltaic energy storage to avoid the energy storage capacity reaching the upper limit. When the load demand power is smaller, the electric energy storage parameters are smaller, and the discharge power of the photovoltaic energy storage charging battery should be reduced to avoid the problem of unstable output caused by too low electric energy of the photovoltaic energy storage charging battery.

[0069] Specifically, the calculation formula for the load adjustment parameter at the next moment is as follows:

[0070]

[0071] In the formula, K1 represents the load adjustment parameter at the next moment, T1 represents the electric energy storage parameter at the next moment, Q1 represents the load demand power at the next moment, B represents the capacity of the photovoltaic energy storage charging battery, and q max represents the maximum load demand power in the collected data.

[0072] It should be noted that the output power of the photovoltaic energy storage charging battery at the next moment can be obtained according to the load adjustment parameter at the next moment and the maximum output power of the photovoltaic energy storage charging battery obtained from the collected data.

[0073] Specifically, the formula for calculating the output power of the photovoltaic energy storage charging battery at the next moment is as follows:

[0074]

[0075] In the formula, U1 represents the output power of the photovoltaic energy storage charging battery at the next moment, C out，max represents the maximum output power of the photovoltaic energy storage charging battery obtained from the collected data, K1 represents the load adjustment parameter at the next moment, H1 represents the charging power of the photovoltaic energy storage charging battery at the next moment, and W sta represents the electric energy stability parameter.

[0076] It should be noted that the above process ensures that the output electric energy of the photovoltaic energy storage charging battery will not be unstable due to too low electric energy after output, and the output power U1 of the photovoltaic energy storage charging battery at the next moment is obtained. Now, the electric energy storage parameter corresponding to each moment after the next moment can be obtained through U1, the electric energy stability parameter, and the charging power of the photovoltaic energy storage charging battery.

[0077] Specifically, the electric energy reserve parameter corresponding to the next moment after the next moment can be obtained by subtracting the corresponding actual output power of the photovoltaic energy storage charging battery from the electric energy reserve parameter corresponding to the next moment and then adding the actual charging power of the photovoltaic energy storage charging battery corresponding to the moment after the next moment. By analogy, the electric energy reserve parameter corresponding to each data can be obtained.

[0078] Step S003: Obtain the load adjustment power according to the electric energy reserve parameter corresponding to each moment after the next moment.

[0079] It should be noted that the above process obtains the electric energy reserve parameter corresponding to each moment after the next moment. According to the electric energy reserve parameter, the output power of the photovoltaic energy storage charging battery at each moment can be obtained according to the above steps. By adjusting the output power of the photovoltaic energy storage charging battery according to the remaining battery power, charging power and load demand, the waste of electric energy caused by the full charge of the battery can be avoided as much as possible, and when the grid load is high, higher electric energy can be given to adjust the grid, reducing the grid load pressure.

[0080] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A load adjustment method for a photovoltaic energy storage charging system, characterized in that, The method includes the following steps: Collecting energy storage and charging data; Obtaining the battery power stability parameter according to the charging power and discharging power of the energy storage and charging battery; Selecting different windows to predict historical data to obtain predicted values; Selecting different windows to predict historical data to obtain predicted values; Obtaining a difference factor based on the predicted value and the actual value; Obtaining the degree of difference according to different difference factors; Selecting an appropriate window size according to the degree of difference; Obtaining the predicted charging power and predicted load demand power of the energy storage and charging according to the charging power of the energy storage and charging battery; Obtaining the next moment's power reserve parameter according to the predicted charging power of the energy storage and charging and the power stability parameter; Obtaining a load adjustment parameter according to the power reserve parameter and the load demand power; Obtaining the output power of the energy storage and charging battery at the next moment according to the load adjustment parameter and the load demand power; Obtaining the corresponding power reserve parameter for each moment after the next moment according to the output power of the energy storage and charging battery at the next moment and the power stability parameter; Obtaining the load adjustment power according to the corresponding power reserve parameter for each moment after the next moment.

2. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein The specific steps included in the power stability parameter are as follows: Where W sta represents the electrical energy stability parameter, C in，i represents the charging power of the photovoltaic energy storage charging battery collected at the i-th moment, with the unit of kw, C out，i represents the discharging power of the photovoltaic energy storage charging battery collected at the i-th moment, T represents the collection time interval, 720 / T represents the number of collected data, and t represents the number of days of collected data.

3. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein, The specific steps included in obtaining the difference factor based on the predicted value and the actual value are as follows: Wherein, Dif(Y r，e ) represents the difference factor corresponding to the e-th group of data in the time series among all the collected data when the window size is Y r , Y r represents the window size, C in，j represents the charging power of the photovoltaic energy storage battery corresponding to the j-th group of data in the time series among all the collected data, and e represents the position subscript of the last group of data in the window among all the data.

4. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein The specific steps included in obtaining the degree of difference according to different difference factors are as follows: where DIF(Y r ) represents the degree of difference when the window size is Y r , 721 - Y r represents the number of difference factors calculated, and Dif(Y r，I ) represents the difference factor corresponding to the data in the I-th time series among all the collected data when the window size is Y r .

5. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, characterized in that, The specific steps included in obtaining the next moment's power reserve parameter according to the predicted charging power of the energy storage and charging and the power stability parameter are as follows: Wherein, K1 represents the load adjustment parameter at the next moment, T1 represents the electric energy reserve parameter at the next moment, Q1 represents the load demand power at the next moment, B represents the capacity of the photovoltaic energy storage charging battery, and q max represents the maximum load demand power in the collected data.

6. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein The specific steps included in obtaining the output power of the energy storage and charging battery at the next moment according to the load adjustment parameter and the load demand power are as follows: Wherein, U1 represents the output power of the photovoltaic energy storage charging battery at the next moment, C out，max represents the maximum output power of the photovoltaic energy storage charging battery obtained from the collected data, K1 represents the load adjustment parameter at the next moment, H1 represents the charging power of the photovoltaic energy storage charging battery at the next moment, W sta represents the power stability parameter.

7. The load adjustment method of a photovoltaic-storage-charging system according to claim 1, characterized in that The specific steps included in selecting an appropriate window size according to different difference factors are as follows: Set the window size to all sizes within the range of the values of Y in sequence, compare the degree of difference corresponding to the window under different window sizes, and select the window size corresponding to the minimum degree of difference as the optimal window size, denoted as Y opt 。 8. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein, The specific steps included in obtaining the predicted charging power and predicted load demand power of the energy storage and charging according to the charging power of the energy storage and charging battery are as follows: When predicting the charging power of the photovoltaic-battery-energy-storage charging battery at the next moment, the window size is Y opt By using the moving average method for prediction, the charging power of the photovoltaic-battery-energy-storage charging battery at the next moment can be obtained, denoted as H1. Through this process, the charging power of the photovoltaic-battery-energy-storage charging battery at each moment within the next day can be obtained. Similarly, the load demand power at the next moment can be obtained, denoted as Q1. Through this process, the load demand power at each moment within the next day can be obtained.

9. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, characterized in that The specific steps included in obtaining the corresponding power reserve parameter for each moment after the next moment according to the output power of the energy storage and charging battery at the next moment and the power stability parameter are as follows: Subtracting the corresponding actual output power of the energy storage and charging battery from the power reserve parameter corresponding to the next moment and adding the actual charging power of the energy storage and charging battery at the moment after the next moment can obtain the power reserve parameter corresponding to the moment after the next moment, and so on to obtain the power reserve parameter corresponding to each data.

10. The load adjustment method of a photovoltaic energy storage charging system according to claim 1, wherein The specific steps included in selecting different windows to predict historical data to obtain predicted values are as follows: Selecting different windows to predict historical data to obtain predicted values, comparing the differences between all predicted values and the actual values, and selecting the window size corresponding to the smallest difference between the predicted value and the actual value as the actual window size. The preset window size is Y, where the value range of Y is 3 - 24.

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