Energy storage energy management control method and device, storage medium and electronic equipment

Abstract

The invention discloses an energy storage energy management control method and device, a storage medium and electronic equipment, and relates to the technical field of transformer area photovoltaic regulation and control. The method comprises the following steps: acquiring a charge state of an energy storage system and a current power factor average value of a transformer area; if the current power factor average value is smaller than a preset power factor limit value, determining charging power needing to be increased by the energy storage converter based on the charge state; calculating a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value; calculating three-phase active power according to the active power of the power grid side and the active power of the load side when the three-phase load in the transformer area is unbalanced; when the load of the transformer is overloaded, determining the discharge power which needs to be dynamically increased by the energy storage converter; and calculating target active power based on the charging power, the three-phase active power and the discharging power so as to adjust the output power of the energy storage converter. According to the invention, comprehensive treatment of transformer area problems can be realized.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic control technology in a substation, and in particular to a method, device, storage medium and electronic equipment for energy storage management and control. Background Art

[0002] With the rapid development of the economy and society, the load of my country's distribution network has risen sharply, and some areas are densely loaded. The surge in power load and the diversity of the distribution network have led to problems such as low power factor, unbalanced three-phase load, and the inability of distribution transformers to cope with seasonal and periodic heavy overloads. Since the problems in the substation are not isolated, and often multiple problems occur at the same time, there is a need for an effective means to comprehensively consider multiple factors and achieve comprehensive management of substation problems. Summary of the invention

[0003] In view of this, the present application provides a storage energy management control method, device, storage medium and electronic equipment, which mainly aims to comprehensively consider various factors, achieve comprehensive management of substation problems, and ensure that the distribution substation operates in the best state.

[0004] According to a first aspect of the present application, a method for energy storage management control is provided, the method comprising:

[0005] Obtain the charge state of the energy storage system, the grid-side active power, the grid-side reactive power, the load-side active power, and the current power factor average value of the substation;

[0006] If the current power factor average value is less than the preset power factor limit value, then based on the charge state, determining the charging power that the energy storage converter needs to increase;

[0007] Calculating a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value;

[0008] When the three-phase load is unbalanced in the substation, the three-phase active power is calculated according to the active power on the grid side and the active power on the load side;

[0009] When the transformer is overloaded, determining the discharge power that the energy storage converter needs to dynamically increase;

[0010] Calculating target active power based on the charging power, the three-phase active power and the discharging power;

[0011] The output power of the energy storage converter is adjusted according to the target active power and the reactive power compensation value.

[0012] According to a second aspect of the present application, there is provided an energy storage energy management control device, the device comprising:

[0013] An acquisition unit, used to acquire the state of charge of the energy storage system, the active power on the grid side, the reactive power on the grid side, the active power on the load side, and the current average power factor of the substation;

[0014] A first determining unit, configured to determine, based on the state of charge, a charging power that needs to be increased for the energy storage converter if the current power factor average value is less than a preset power factor limit value;

[0015] A first calculation unit, configured to calculate a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value;

[0016] A second calculation unit is used to calculate the three-phase active power according to the grid-side active power and the load-side active power when the three-phase load is unbalanced in the substation area;

[0017] A second determination unit is used to determine the discharge power that the energy storage converter needs to dynamically increase when the transformer is overloaded;

[0018] a third calculation unit, configured to calculate a target active power based on the charging power, the three-phase active power and the discharging power;

[0019] An adjustment unit is used to adjust the output power of the energy storage converter according to the target active power and the reactive power compensation value.

[0020] According to a third aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned energy storage energy management control method is implemented.

[0021] According to the fourth aspect of the present application, an electronic device is provided, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the above-mentioned energy storage energy management control method when executing the program.

[0022] By means of the above technical scheme, the present application provides a storage energy management control method, device, storage medium and electronic device. When the current average power factor is less than the preset power factor limit, the charging power that needs to be increased for the energy storage inverter can be determined according to the charge state of the energy storage system, thereby achieving power factor management and reducing the loss of the transmission line. At the same time, when three-phase load imbalance occurs in the substation area, the three-phase active power can be calculated according to the active power on the grid side and the active power on the load side, thereby achieving three-phase imbalance management. In addition, when the transformer is overloaded, the discharge power required by the energy storage inverter can be dynamically increased. Through this dynamic capacity increase method, not only the problem of seasonal and periodic heavy overload of the transformer is solved, but also the configuration of the distribution transformer according to the maximum photovoltaic rating can be avoided, thereby causing waste of spare capacity. Finally, this application calculates the target active power based on the charging power, three-phase active power and discharge power, and adjusts the output power of the energy storage inverter based on the target active power and the calculated reactive power compensation value. This can comprehensively consider various factors, achieve comprehensive management of substation problems, and ensure that the distribution substation operates in the best state.

[0023] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0025] Figure 1 A schematic diagram of a flow chart of an energy storage energy management control method provided in an embodiment of the present application is shown;

[0026] Figure 2 A schematic diagram of a flow chart of another energy storage energy management control method provided in an embodiment of the present application is shown;

[0027] Figure 3 A schematic diagram of a quadratic function provided in an embodiment of the present application is shown;

[0028] Figure 4 A schematic diagram of the structure of an energy storage energy management control device provided in an embodiment of the present application is shown;

[0029] Figure 5 A structural schematic diagram of another energy storage energy management control device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0030] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0031] Since the problems in the Taiwan area do not exist in isolation, but often multiple problems occur at the same time, there is a need for an effective means to comprehensively consider multiple factors and achieve comprehensive management of the problems in the Taiwan area.

[0032] In order to solve the above problems, an embodiment of the present invention provides a method for energy storage energy management control, such as Figure 1 As shown, the method includes:

[0033] Step 101: Obtain the state of charge of the energy storage system, the grid-side active power, the grid-side reactive power, the load-side active power, and the current power factor average value of the substation.

[0034] The embodiment of the present invention is mainly applicable to the comprehensive management scenario of the problem in the substation area. The execution subject of the embodiment of the present invention is a device or equipment that can comprehensively consider various factors and adjust the output power of the energy storage converter (PCS).

[0035] For the embodiment of the present invention, the charge state and charge amount of the energy storage system can be monitored by the energy storage system monitoring device, so as to determine the charge state of the energy storage system. At the same time, the active power on the grid side, the reactive power on the grid side and the active power on the load side are collected in real time. In addition, the current instantaneous power factor of the substation is collected, and the current power factor average value of the substation is calculated based on the current instantaneous power factor of the substation, so as to achieve the management of the power factor of the substation.

[0036] As an optional implementation method for calculating the current average power factor value of the substation, the method includes: obtaining the previous average power factor value corresponding to the current average power factor value, the current instantaneous power factor of the substation, and the moving window size; and calculating the current average power factor value based on the previous average power factor value, the current instantaneous power factor, and the moving window size. The specific formula is as follows:

[0037]

[0038] in, is the current average power factor, is the current power factor angle corresponding to the current power factor average value, is the average value of the previous power factor, is the power factor angle corresponding to the previous power factor average value, is the current instantaneous power factor of the substation, is the power factor angle corresponding to the current instantaneous power factor. In the embodiment of the present invention, the power factors at different time nodes can be collected, and the corresponding power factor average value can be calculated by the moving average algorithm. N is the moving window size.

[0039] According to the above formula, the current power factor average value can be calculated based on the previous power factor average value, the current instantaneous power factor of the substation and the moving window size.

[0040] Step 102: If the current power factor average value is less than the preset power factor limit value, then based on the charge state, determine the charging power that the energy storage converter needs to increase.

[0041] The preset power factor limit may be set according to actual business requirements, and the embodiment of the present invention does not specifically limit this.

[0042] For the embodiment of the present invention, since the active power output and reactive power output of the energy storage system can be decoupled and controlled, the power factor of the substation can be controlled by adjusting the active power and reactive power of the energy storage system to reduce the loss of the transmission line.

[0043] In order to achieve power factor management, the embodiment of the present invention will monitor the current power factor average value in real time. If the current power factor average value is lower than the preset power factor limit, it means that the system power factor is too low at this time. If it is not managed in time, the loss of the transmission line will increase. In this case, the embodiment of the present invention will first determine the charging power that needs to be increased by the energy storage converter when the active power management mode is enabled. For this process, step 102 specifically includes: analyzing the user's power load; determining the charging power that needs to be increased by the energy storage converter according to the user's power load and the charge state, that is, the active power ΔP.

[0044] Step 103: Calculate a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value.

[0045] For the embodiments of the present invention, the power factor of the substation can be managed not only by adjusting the active power of the energy storage system, but also by adjusting the reactive power of the energy storage system. After calculating the charging power ΔP that the energy storage converter needs to increase in step 102, the reactive power compensation value can be calculated based on the charging power ΔP, the active power on the grid side, the reactive power on the grid side and the current power factor average value. For this process, step 103 specifically includes: calculating the current power factor angle based on the current power factor average value; calculating the reactive power compensation value based on the charging power, the active power on the grid side, the reactive power on the grid side and the current power factor angle. The specific formula is as follows:

[0046]

[0047] in, The current power factor angle corresponding to the current power factor average value is calculated. After that, the current power factor angle can be calculated ΔP is the charging power, Pg is the active power on the grid side, Qg is the reactive power on the grid side, and ΔQ is the reactive power compensation value.

[0048] After calculating the charging power ΔP and the reactive power compensation value ΔQ, although the charging power ΔP and the reactive power compensation value ΔQ can be used to manage the power factor, the embodiment of the present invention also needs to comprehensively consider other influencing factors to ultimately determine the target active power and the target reactive power. After determining the target active power and the target reactive power, the energy management system (EMS) can issue a power adjustment instruction to the energy storage converter (PCS) based on the target active power and the target reactive power to comprehensively manage the problems in the substation area.

[0049] It should be noted that in the embodiment of the present invention, when the power factor increases to a certain threshold, the energy storage system can reduce the active power and reactive power output by the energy storage converter (PCS) to keep the power factor stable within a certain range.

[0050] Step 104: When three-phase load imbalance occurs in the substation, the three-phase active power is calculated according to the grid-side active power and the load-side active power.

[0051] For the embodiments of the present invention, the unbalanced three-phase load will reduce the power supply efficiency of the line and the distribution transformer at the least, and at the worst, it will cause serious consequences such as burning of a phase conductor, burning of the switch, and even burning of a single phase of the distribution transformer due to excessive overload of the load phase. Practice has shown that under normal circumstances, the unbalanced three-phase load can cause a line loss rate of 2%-10%. If the unbalanced degree of the three-phase load exceeds 10%, the line loss will increase significantly. Relevant regulations stipulate that the load current imbalance at the outlet of the distribution transformer is less than 10%, the neutral point current should not exceed 25% of the rated current on the low-voltage side, and the current imbalance at the head end of the low-voltage trunk line and the main branch line should be less than 20%.

[0052] In order to achieve the treatment of three-phase imbalance, step 104 specifically includes: obtaining the three-phase current on the load side; calculating the current imbalance based on the three-phase current on the load side; if the current imbalance exceeds the preset imbalance threshold, it is determined that the three-phase load imbalance occurs in the substation, and the grid side active power and the load side active power are added to obtain the three-phase active power. Among them, the preset imbalance threshold can be set according to actual business needs, and the embodiment of the present invention does not specifically limit this.

[0053] When calculating the current imbalance, the maximum current value and the minimum current value are determined from the three-phase current on the load side; and the current imbalance is calculated based on the maximum current value and the minimum current value. The specific formula is as follows:

[0054] ε=(I max -I min ) / I max

[0055] Among them, I max is the maximum current value among the three-phase currents, I min is the minimum current value among the three-phase currents, and ε is the current unbalance.

[0056] After calculating the three-phase active power, the output power of the energy storage converter (PCS) can be adjusted based on the three-phase active power to achieve the control of three-phase imbalance.

[0057] It should be noted that once the load-side current imbalance returns to a reasonable threshold range, the energy storage system no longer needs to adjust the active power and reactive power, otherwise excessive adjustment may occur, increasing the current imbalance.

[0058] Step 105: When the transformer is overloaded, determine the discharge power that the energy storage converter needs to dynamically increase.

[0059] For the embodiments of the present invention, the heavy overload of transformers in the substation area has become a prominent problem in the current distribution network, especially in places where there are many photovoltaic installations. When the photovoltaic output is the largest, overload often occurs. If the distribution transformer is configured according to the maximum photovoltaic rating, the spare capacity will be very large, resulting in a great waste. Based on this, the embodiments of the present invention adopt a dynamic capacity increase method to increase photovoltaic consumption and reduce the transformer overload rate to solve the problem of heavy overload of transformers in the substation area.

[0060] In the method for managing the heavy overload problem, step 105 specifically includes: if the transformer load exceeds the preset load threshold, the transformer load is determined to be overloaded, and the discharge power that the energy storage converter needs to dynamically increase is determined according to the preset power adjustment step. The preset power adjustment step can be set according to actual business needs. For example, the preset power adjustment step can be set to about 1 / 20 of the rated power, or it can be determined according to the specific load conditions. The embodiment of the present invention does not specifically limit this.

[0061] Step 106: Calculate target active power based on the charging power, the three-phase active power and the discharging power.

[0062] For the embodiments of the present invention, the problems in the substation do not exist in isolation, and often multiple problems occur at the same time. Therefore, it is not possible to simply use one strategy or algorithm to solve all problems. It is necessary to comprehensively consider various factors and, with the support of an algorithm that independently solves a single problem, calculate the optimal active power and reactive power values, i.e., the target active power and target reactive power, through an optimization algorithm and send them to the energy storage inverter (PCS) to achieve comprehensive management of substation problems and allow the distribution substation to operate in the best state.

[0063] Step 107: Adjust the output power of the energy storage converter according to the target active power and the reactive power compensation value.

[0064] For the embodiments of the present invention, since only power factor management involves reactive power, the reactive power compensation value can be directly determined as the target reactive power, and then the target active power and target reactive power are sent to the energy storage inverter (PCS) to adjust the output power of the energy storage inverter (PCS) to achieve comprehensive management of substation problems.

[0065] The embodiment of the present invention provides a method for energy storage energy management and control. When the current power factor average value is less than the preset power factor limit value, the charging power that the energy storage converter needs to increase can be determined according to the charge state of the energy storage system, thereby achieving power factor management and reducing the loss of the transmission line. At the same time, when the three-phase load imbalance occurs in the substation area, the three-phase active power can be calculated according to the active power on the grid side and the active power on the load side, thereby achieving the management of the three-phase imbalance. In addition, when the transformer is overloaded, the discharge power required by the energy storage converter can be dynamically increased. Through this dynamic capacity increase method, not only the problem of seasonal and periodic heavy overload of the transformer is solved, but also the configuration of the distribution transformer according to the maximum rated photovoltaic power can be avoided, thereby causing waste of spare capacity. Finally, the embodiment of the present invention calculates the target active power according to the charging power, three-phase active power and discharge power, and adjusts the output power of the energy storage converter according to the target active power and the calculated reactive power compensation value, thereby comprehensively considering various factors, achieving comprehensive management of substation problems, and ensuring that the distribution substation area operates in the best state.

[0066] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the implementation of this embodiment, this embodiment also provides another energy storage energy management control method, such as Figure 2 As shown, the method includes:

[0067] Step 201: Obtain the state of charge of the energy storage system, the grid-side active power, the grid-side reactive power, the load-side active power, and the current power factor average value of the substation.

[0068] For the embodiment of the present invention, the charge state and charge amount of the energy storage system can be monitored by the energy storage system monitoring device, so as to determine the charge state of the energy storage system. At the same time, the active power on the grid side, the reactive power on the grid side and the active power on the load side are collected in real time. In addition, the current instantaneous power factor of the substation is collected, and the current power factor average value of the substation is calculated based on the current instantaneous power factor of the substation, so as to achieve the management of the power factor of the substation.

[0069] Step 202: If the current power factor average value is less than the preset power factor limit value, then based on the charge state, determine the charging power that the energy storage converter needs to increase.

[0070] For the embodiment of the present invention, if the current power factor average value is lower than the preset power factor limit value, the charging power that needs to be increased for the energy storage converter, ie, the active power, is determined according to the user power load and the charge state.

[0071] Step 203: Calculate a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value.

[0072] For the embodiment of the present invention, the specific calculation process of the reactive power compensation value is exactly the same as step 103, and will not be repeated here.

[0073] Step 204: When three-phase load imbalance occurs in the substation, the three-phase active power is calculated according to the grid-side active power and the load-side active power.

[0074] For the embodiment of the present invention, if the determined current imbalance exceeds the preset imbalance threshold, it is determined that three-phase load imbalance occurs in the substation. At this time, the active power on the grid side and the active power on the load side are added to obtain the three-phase active power.

[0075] Step 205: When the transformer is overloaded, determine the discharge power that the energy storage converter needs to dynamically increase.

[0076] For the embodiment of the present invention, if the transformer load exceeds the preset load threshold, the transformer load is determined to be overloaded, and the discharge power that the energy storage converter needs to dynamically increase is determined according to the preset power adjustment step. The preset power adjustment step can be set according to actual business needs. For example, the preset power adjustment step can be set to about 1 / 20 of the rated power, or it can be determined according to the specific load conditions. The embodiment of the present invention does not specifically limit this.

[0077] If the transformer overload problem cannot be solved after one adjustment, continue to increase the discharge power according to the preset power adjustment step.

[0078] Step 206: According to the charging power, the three-phase active power and the discharging power, the active power required for controlling the power factor, the active power required for controlling the three-phase imbalance and the active power required for controlling the heavy overload are determined respectively.

[0079] For the embodiment of the present invention, the active power required for power factor control can be determined according to the charging power ΔP that the energy storage converter needs to increase. The calculated three-phase active power is the active power required for three-phase imbalance control. At the same time, the active power required for heavy overload control can be determined according to the discharge power that the energy storage converter needs to dynamically increase.

[0080] Step 207: input the active power required for controlling the power factor, the active power required for controlling the three-phase imbalance, and the active power required for controlling the heavy overload into a preset active power prediction model for power prediction to obtain the target active power.

[0081] Among them, the preset active power prediction model is specifically a preset active power regression prediction model.

[0082] For the embodiment of the present invention, since the above-mentioned power factor control, three-phase unbalance control, and heavy overload control all involve active power, it is necessary to solve the optimal value, that is, the target active power, through an optimization algorithm. Specifically, the embodiment of the present invention can pre-train an active power regression prediction model for predicting the target active power. The input data of the model are the active power required for power factor control, the active power required for three-phase unbalance control, and the active power required for heavy overload control, and the output data is the target active power.

[0083] Regarding the specific training process of the preset active power prediction model, step 207 specifically includes: obtaining the sample power of the energy storage inverter and the actual active power corresponding to the sample power; constructing an initial regression prediction model; inputting the sample power into the initial regression prediction model to predict the active power, and obtaining the predicted active power of the energy storage inverter; constructing an active power loss function based on the predicted active power and the actual active power; based on the active power loss function, continuously updating and iterating each parameter in the initial regression prediction model until the preset conditions are met, stopping the iteration, and outputting the preset active power regression prediction model.

[0084] When iterating the parameter update, partial derivatives of the parameters are calculated based on the active power loss function to obtain derivative functions corresponding to the parameters; initial values ​​corresponding to the parameters are brought into the derivative functions for calculation to obtain derivative function values, and the derivative function values ​​are added to the initial values ​​to obtain parameter values ​​of the parameters updated in this round of iterations; the parameter value updating process of the parameters is repeated until the value of the active power loss function is minimized or the preset number of iterations is reached, then the iteration is stopped and the preset active power regression prediction model is output.

[0085] The embodiment of the present invention now takes a ternary linear regression prediction model as an example to illustrate the training process of the preset active power regression prediction model and the prediction process of the target active power.

[0086] Construct a ternary linear initial regression prediction model as follows:

[0087] Y=a0+a1X1+a2X2+a3X3

[0088] Among them, Y is the target active power, X1 is the active power required to control the power factor, X2 is the active power required to control the three-phase imbalance, X3 is the active power required to control the heavy overload, a0 is a constant parameter, a1, a2, and a3 are the weight parameters of the three active powers.

[0089] Assuming there are m sample data, written in matrix form:

[0090]

[0091] in, m samples of active power required to control the power factor; The m samples of active power required to control the three-phase imbalance; m samples of active power required to manage heavy overload; y1, y2, ..., y m is the corresponding m actual active powers.

[0092] The weight parameters can be written in matrix form as:

[0093] A=[a0 a1 a2 a3]

[0094] The formula can be simplified to:

[0095] Y=XA T

[0096] Based on the predicted active power and the actual active power, the active power loss function is constructed as follows:

[0097]

[0098] in, To predict active power, y i is the actual active power.

[0099] During the training iteration process, the embodiment of the present invention introduces a gradient descent algorithm to continuously update parameter values ​​so as to gradually reduce the value of the active power loss function.

[0100] Assume that the input data x of the regression model is i is one-dimensional, the parameter weight is a, and the bias term (constant) is 0, then the loss function can be written as:

[0101]

[0102] It can be seen that the loss function is a quadratic function of a, such as Figure 3 shown.

[0103] The embodiment of the present invention continuously updates the a value by adopting a gradient descent algorithm, so that the function value after the updated a value is smaller.

[0104] When updating, first take the derivative of the loss function L(a), then give an initial value of a, and subtract α·L'(a) from the original value each time. The specific formula is as follows:

[0105] a n =a n-1 -α·L'(a n-1 )

[0106] Among them, a n-1 is the parameter value of the n-1th iteration, a n is the parameter value of the nth iteration, and α is the learning rate.

[0107] When there are multi-dimensional input data, the active power loss function L is used to find the partial derivatives of each parameter. The specific formula is as follows:

[0108]

[0109] a k,n =a k,n-1 -α·L'(a k,n-1 )

[0110] Among them, a k Represents any parameter, x i represents the power of the ith sample, y i represents the actual active power corresponding to the i-th sample power, and n represents the n-th iteration. Thus, the values ​​of each weight parameter in each iteration process can be solved one by one.

[0111] It should be noted that the preset active power regression prediction model in the embodiment of the present invention may also be a multivariate nonlinear regression model, and the embodiment of the present invention does not specifically limit the structure of the regression model.

[0112] During specific prediction, the currently determined active power required for controlling the power factor, the active power required for controlling three-phase imbalance, and the active power required for controlling heavy overload can be input into the trained preset active power regression prediction model for power prediction to obtain the target active power.

[0113] Step 208: Adjust the output power of the energy storage converter according to the target active power and the reactive power compensation value.

[0114] For the embodiment of the present invention, the reactive power compensation value is determined as the target reactive power, and then the target active power and the target reactive power are sent to the energy storage converter (PCS) to adjust the output power of the energy storage converter (PCS) to achieve comprehensive management of the problems in the substation area.

[0115] Another energy storage energy management control method provided by the embodiment of the present invention can determine the charging power that the energy storage converter needs to increase according to the charge state of the energy storage system when the current power factor average value is less than the preset power factor limit, thereby realizing the governance of the power factor and reducing the loss of the transmission line. At the same time, when the three-phase load imbalance occurs in the substation area, the three-phase active power can be calculated according to the active power on the grid side and the active power on the load side, thereby realizing the governance of the three-phase imbalance. In addition, when the transformer is overloaded, the discharge power required by the energy storage converter can be dynamically increased. Through this dynamic capacity increase method, not only the problem of seasonal and periodic heavy overload of the transformer is solved, but also the configuration of the distribution transformer according to the maximum rated photovoltaic power can be avoided, thereby causing waste of spare capacity. Finally, the embodiment of the present invention calculates the target active power according to the charging power, three-phase active power and discharge power, and adjusts the output power of the energy storage converter according to the target active power and the calculated reactive power compensation value, thereby comprehensively considering various factors, realizing the comprehensive governance of substation problems, and ensuring that the distribution substation area operates in the best state.

[0116] Further, as Figure 1 and Figure 2 The specific implementation of the method shown in this embodiment provides an energy storage energy management control device, such as Figure 4 As shown, the device includes: an acquisition unit 31, a first determination unit 32, a first calculation unit 33, a second calculation unit 34, a second determination unit 35, a third calculation unit 36 ​​and an adjustment unit 37.

[0117] The acquisition unit 31 may be used to acquire the state of charge of the energy storage system, the grid-side active power, the grid-side reactive power, the load-side active power and the current average power factor of the substation.

[0118] The first determination unit 32 may be configured to determine the charging power that needs to be increased for the energy storage converter based on the state of charge if the current power factor average value is less than a preset power factor limit value.

[0119] The first calculation unit 33 may be configured to calculate a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value.

[0120] The second calculation unit 34 may be configured to calculate the three-phase active power according to the grid-side active power and the load-side active power when a three-phase load imbalance occurs in the substation.

[0121] The second determination unit 35 may be used to determine the discharge power that the energy storage converter needs to dynamically increase when the transformer is overloaded.

[0122] The third calculation unit 36 ​​may be configured to calculate the target active power based on the charging power, the three-phase active power and the discharging power.

[0123] The adjustment unit 37 may be configured to adjust the output power of the energy storage converter according to the target active power and the reactive power compensation value.

[0124] In some embodiments, the acquisition unit 31 can be specifically used to obtain the previous power factor average value corresponding to the current power factor average value, the current instantaneous power factor of the substation and the moving window size; calculate the current power factor average value based on the previous power factor average value, the current instantaneous power factor and the moving window size.

[0125] In some embodiments, the first determination unit 32 may be specifically used to analyze the user's power load; and determine the charging power that needs to be increased for the energy storage inverter according to the user's power load and the charge state.

[0126] In some embodiments, the first calculation unit 33 can be specifically used to calculate the current power factor angle according to the current power factor average value; calculate the reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor angle.

[0127] In some embodiments, the second computing unit 34, such as Figure 5 As shown, it includes: an acquisition module 341, a calculation module 342 and an addition module 343.

[0128] The acquisition module 341 may be used to acquire the three-phase current at the load side.

[0129] The calculation module 342 may be configured to calculate a current imbalance degree based on the three-phase current at the load side.

[0130] The adding module 343 can be used to determine that three-phase load imbalance occurs in the substation if the current imbalance exceeds a preset imbalance threshold, and add the grid-side active power and the load-side active power to obtain the three-phase active power.

[0131] In some embodiments, the second determination unit 35 can be specifically used to determine that the transformer load is overloaded if the transformer load exceeds a preset load threshold, and determine the discharge power that the energy storage converter needs to dynamically increase according to a preset power adjustment step.

[0132] In some embodiments, the third calculation unit 36 ​​includes: a determination module 361 and a prediction module 362 .

[0133] The determination module 361 can be used to determine the active power required to control the power factor, the active power required to control the three-phase imbalance and the active power required to control the heavy overload according to the charging power, the three-phase active power and the discharging power.

[0134] The prediction module 362 can be used to input the active power required for controlling the power factor, the active power required for controlling the three-phase imbalance, and the active power required for controlling the heavy overload into a preset active power prediction model for power prediction to obtain the target active power.

[0135] In some embodiments, when the preset active power prediction model is a preset active power regression prediction model, the device further includes: a training unit 38.

[0136] The training unit 38 can be used to obtain the sample power of the energy storage inverter and the actual active power corresponding to the sample power; construct an initial regression prediction model; input the sample power into the initial regression prediction model to predict the active power, and obtain the predicted active power of the energy storage inverter; construct an active power loss function based on the predicted active power and the actual active power; based on the active power loss function, continuously update and iterate the various parameters in the initial regression prediction model until the preset conditions are met, stop the iteration, and output the preset active power regression prediction model.

[0137] In some embodiments, the training unit 38 can be specifically used to calculate the partial derivatives of each parameter based on the active power loss function to obtain the derivative function corresponding to each parameter; bring the initial value corresponding to each parameter into the derivative function for calculation to obtain the derivative function value, and add the derivative function value to the initial value to obtain the parameter value of each parameter after update in this round of iteration; repeat the parameter value updating process of each parameter until the value of the active power loss function is minimized or reaches a preset number of iterations, stop iteration, and output the preset active power regression prediction model.

[0138] It should be noted that for other corresponding descriptions of the functional units involved in the energy storage energy management control device provided in this embodiment, reference can be made to Figure 1 and Figure 2 The corresponding description in will not be repeated here.

[0139] Based on the above Figure 1 and Figure 2 The method shown in the embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned Figure 1 and Figure 2The energy storage energy management control method shown.

[0140] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0141] Based on the above Figure 1 and Figure 2 The method shown, and Figure 4 and Figure 5 In order to achieve the above-mentioned purpose, the embodiment of the present application also provides an electronic device, which can be a personal computer, a tablet computer, a server, or other network equipment, etc. The device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 and Figure 2 The energy storage energy management control method shown.

[0142] Optionally, the above-mentioned physical device may also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0143] Those skilled in the art will appreciate that the above-mentioned physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or a combination of certain components, or different arrangements of components.

[0144] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned physical device, and supports the operation of the information processing program and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing physical device.

[0145] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform, or by hardware.

[0146] In the embodiment of the present invention, when the current average power factor value is less than the preset power factor limit value, the charging power that the energy storage converter needs to increase can be determined according to the charge state of the energy storage system, thereby achieving the governance of the power factor and reducing the loss of the transmission line. At the same time, when the three-phase load imbalance occurs in the substation, the three-phase active power can be calculated according to the active power on the grid side and the active power on the load side, thereby achieving the governance of the three-phase imbalance. In addition, when the transformer is overloaded, the discharge power required by the energy storage converter can be dynamically increased. Through this dynamic capacity increase method, not only the problem of seasonal and periodic heavy overload of the transformer is solved, but also the configuration of the distribution transformer according to the maximum rated photovoltaic power can be avoided, thereby causing waste of spare capacity. Finally, the embodiment of the present invention calculates the target active power according to the charging power, three-phase active power and discharge power, and adjusts the output power of the energy storage converter according to the target active power and the calculated reactive power compensation value, thereby comprehensively considering various factors, achieving comprehensive governance of substation problems, and ensuring that the distribution substation operates in the best state.

[0147] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0148] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. A method for energy storage management control, characterized in that: include: Obtain the charge state of the energy storage system, the grid-side active power, the grid-side reactive power, the load-side active power, and the current power factor average value of the substation; If the current power factor average value is less than the preset power factor limit value, then based on the charge state, determining the charging power that the energy storage converter needs to increase; Calculating a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value; When the three-phase load is unbalanced in the substation, the three-phase active power is calculated according to the active power on the grid side and the active power on the load side; When the transformer is overloaded, determining the discharge power that the energy storage converter needs to dynamically increase; Calculating target active power based on the charging power, the three-phase active power and the discharging power; The output power of the energy storage converter is adjusted according to the target active power and the reactive power compensation value.

2. The method according to claim 1, characterized in that Get the current average power factor of the substation, including: Obtaining the previous power factor average value corresponding to the current power factor average value, the current instantaneous power factor of the substation, and the moving window size; Calculating the current power factor average value according to the previous power factor average value, the current instantaneous power factor and the moving window size; and / or The step of determining the charging power that needs to be increased for the energy storage converter based on the state of charge includes: Analyze user electricity load; Determining the charging power that needs to be increased for the energy storage converter according to the user's power load and the charge state; and / or The calculating the reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value includes: Calculating a current power factor angle according to the current power factor average value; Calculating a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor angle; and / or When the three-phase load in the substation is unbalanced, the three-phase active power is calculated according to the grid-side active power and the load-side active power, including: Obtain the three-phase current on the load side; Calculating the current imbalance based on the three-phase current at the load side; If the current imbalance exceeds a preset imbalance threshold, it is determined that three-phase load imbalance occurs in the substation, and the grid-side active power and the load-side active power are added to obtain the three-phase active power.

3. The method according to claim 2, characterized in that The calculating of the current imbalance degree based on the three-phase current at the load side includes: Determine the maximum current value and the minimum current value from the three-phase current on the load side; The current imbalance degree is calculated according to the maximum current value and the minimum current value.

4. The method according to claim 1, characterized in that: When the transformer is overloaded, determining the discharge power that the energy storage converter needs to dynamically increase includes: If the transformer load exceeds a preset load threshold, the transformer load is determined to be overloaded, and the discharge power that the energy storage converter needs to dynamically increase is determined based on a preset power adjustment step.

5. The method according to any one of claims 1 to 4, characterized in that: The calculating the target active power based on the charging power, the three-phase active power and the discharging power includes: According to the charging power, the three-phase active power and the discharging power, respectively determine the active power required for controlling the power factor, the active power required for controlling the three-phase imbalance and the active power required for controlling the heavy overload; The active power required for controlling the power factor, the active power required for controlling the three-phase imbalance and the active power required for controlling the heavy overload are input into a preset active power prediction model for power prediction to obtain the target active power.

6. The method according to claim 5, characterized in that When the preset active power prediction model is a preset active power regression prediction model, the method further includes: Acquire a sample power of the energy storage converter and an actual active power corresponding to the sample power; Construct an initial regression prediction model; Inputting the sample power into the initial regression prediction model to perform active power prediction to obtain the predicted active power of the energy storage converter; Based on the predicted active power and the actual active power, construct an active power loss function; Based on the active power loss function, each parameter in the initial regression prediction model is continuously updated and iterated until a preset condition is met, then the iteration is stopped and the preset active power regression prediction model is output.

7. The method according to claim 6, characterized in that Based on the active power loss function, each parameter in the initial regression prediction model is continuously updated and iterated until a preset condition is met, then the iteration is stopped and the preset active power regression prediction model is output, including: Based on the active power loss function, partial derivatives are respectively obtained for each parameter to obtain derivative functions corresponding to each parameter; Bringing the initial values ​​corresponding to the various parameters into the derivative function for calculation to obtain the derivative function value, and adding the derivative function value to the initial value to obtain the parameter value of the various parameters after being updated in this round of iteration; Repeat the parameter value updating process of each parameter until the value of the active power loss function is minimum or reaches a preset number of iterations, stop iteration, and output the preset active power regression prediction model.

8. A storage energy management control device, characterized in that: include: An acquisition unit, used to acquire the state of charge of the energy storage system, the active power on the grid side, the reactive power on the grid side, the active power on the load side, and the current average power factor of the substation; A first determining unit, configured to determine, based on the state of charge, a charging power that needs to be increased for the energy storage converter if the current power factor average value is less than a preset power factor limit value; A first calculation unit, configured to calculate a reactive power compensation value according to the charging power, the grid-side active power, the grid-side reactive power and the current power factor average value; A second calculation unit is used to calculate the three-phase active power according to the grid-side active power and the load-side active power when the three-phase load is unbalanced in the substation area; A second determination unit is used to determine the discharge power that the energy storage converter needs to dynamically increase when the transformer is overloaded; a third calculation unit, configured to calculate a target active power based on the charging power, the three-phase active power and the discharging power; An adjustment unit is used to adjust the output power of the energy storage converter according to the target active power and the reactive power compensation value.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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