Power determination method and device based on demand response and electronic equipment

Abstract

The invention discloses a power determination method and device based on demand response and electronic equipment. The method relates to the fields of electric power, new energy and the like, and comprises the following steps: obtaining power information of energy storage equipment, load equipment and photovoltaic equipment in an industrial park at the current moment; according to the power information of the load equipment and the power information of the photovoltaic equipment at the historical moments, prediction power information of the load equipment and prediction power information of the photovoltaic equipment at the current moment are obtained through prediction; according to the integer programming model, solving respective expected power information of the energy storage equipment, the load equipment and the photovoltaic equipment at the current moment; and determining target power information to be set of the energy storage equipment, the load equipment and the photovoltaic equipment in the first time range according to the power information, the predicted power information and the expected power information. The technical problem that the accuracy of determining the to-be-set power of each device in the industrial park is low when the energy storage regulation and control margin is reserved for the industrial park in the demand response scene in the related technology is solved.

Description

Technical Field

[0001] The present invention relates to the fields of electric power and new energy, etc. Specifically, it relates to a method, device and electronic device for determining power based on demand response. Background Art

[0002] With the continuous increase in the leakage rate of distributed new energy in the power system, the static and dynamic stability margins of the power system gradually decrease. To solve this problem, the mode of virtual power plant (VPP) is introduced to achieve regional distributed multi-energy aggregation and achieve an operating effect equivalent to that of traditional power sources and loads. However, the existing control strategies of "virtual power plants" have deficiencies in the control granularity of devices in the park and cannot directly send policy control parameters to the underlying devices, and need to decompose the instructions through aggregation devices.

[0003] Currently, park aggregation devices mainly rely on the adjustable capabilities of energy storage and adjustable loads to meet the requirements of demand response. When reserving energy storage regulation margins for industrial parks, the power to be set for each device is determined based on the current device status, resulting in a problem of low accuracy in determining power.

[0004] For the above problems, no effective solution has been proposed yet. Summary of the Invention

[0005] Embodiments of the present invention provide a method, device and electronic device for determining power based on demand response, so as to at least solve the technical problem of low accuracy in determining the power to be set for each device in an industrial park when reserving an energy storage regulation margin in a demand response scenario in related technologies.

[0006] According to one aspect of the embodiments of the present invention, a method for determining power based on demand response is provided, including: obtaining the power information of the energy storage device, load device and photovoltaic device in the industrial park at the current moment; predicting the predicted power information of the load device and photovoltaic device at the current moment according to the power information of the load device and photovoltaic device at the historical moment; solving the expected power information of the energy storage device, load device and photovoltaic device at the current moment according to an integer programming model, where the integer programming model takes maximizing the energy storage regulation margin in the demand response scenario as the objective function; determining the target power information to be set for the energy storage device, load device and photovoltaic device within the first time range according to the power information, predicted power information and expected power information.

[0007] Further, the power determination method based on demand response further includes: predicting the predicted power generation value of the photovoltaic device at the current moment according to the power generation power value of the photovoltaic device at the historical moment; predicting the predicted power consumption value of the load device at the current moment according to the power consumption power value of the load device at the historical moment; determining the photovoltaic power limit adjustment interval of the photovoltaic device at the current moment according to the predicted power generation value of the photovoltaic device at the current moment; determining the predicted power information of the photovoltaic device at the current moment based on the predicted power generation value and the photovoltaic power limit adjustment interval, and determining the predicted power information of the load device at the current moment based on the predicted power consumption value.

[0008] Further, the power determination method based on demand response further includes: determining the energy storage constraint conditions according to the energy storage state of the energy storage device, where the energy storage state includes the remaining power, the rated capacity, and the maximum charge and discharge power of the energy storage device; determining the photovoltaic constraint conditions according to the photovoltaic power limit adjustment interval; determining the load constraint conditions according to the adjustable power interval of the load device; determining the connection point constraint conditions according to the required power of the connection point; determining the objective function according to the charge and discharge power of the energy storage device and the limited output power of the photovoltaic device; determining an integer programming model according to the energy storage constraint conditions, the photovoltaic constraint conditions, the load constraint conditions, the connection point constraint conditions, and the objective function.

[0009] Further, the power determination method based on demand response further includes: calculating the target deviation value between the actual power and the predicted power of the connection point at the current moment according to the power information and the predicted power information of the photovoltaic device, the power information and the predicted power information of the load device; calculating the adjustable margin of the energy storage device at the current moment according to the desired power information and the maximum charge and discharge power of the energy storage device to obtain the first adjustable margin; calculating the adjustable margin of the load device at the current moment according to the power information and the adjustable power interval of the load device to obtain the second adjustable margin; calculating the adjustable margin of the photovoltaic device at the current moment according to the desired power information and the power information of the photovoltaic device to obtain the third adjustable margin; determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin.

[0010] Further, the power determination method based on demand response further includes: calculating a total adjustment margin based on the first adjustable margin, the second adjustable margin, and the third adjustable margin; determining the target power information of the energy storage device according to the expected power information of the energy storage device, the target deviation value, the total adjustment margin, and the first adjustable margin; determining the target power information of the load device according to the expected power information of the load device, the target deviation value, the total adjustment margin, and the second adjustable margin; and determining the target power information of the photovoltaic device according to the expected power information of the photovoltaic device, the target deviation value, the total adjustment margin, and the third adjustable margin.

[0011] Further, the power determination method based on demand response further includes: summing up the upward adjustable margins in the first adjustable margin, the upward adjustable margins in the second adjustable margin, and the upward adjustable margins in the third adjustable margin to obtain an upward total adjustment margin; summing up the downward adjustable margins in the first adjustable margin, the downward adjustable margins in the second adjustable margin, and the downward adjustable margins in the third adjustable margin to obtain a downward total adjustment margin; and determining the upward total adjustment margin and the downward total adjustment margin as the total adjustment margin.

[0012] Further, the power determination method based on demand response further includes: after determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range, performing power adjustment on the energy storage device, the load device, and the photovoltaic device based on the target power information; at the next moment of the current moment, continuing to obtain the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the next moment respectively, predicting the predicted power information of the load device and the photovoltaic device at the next moment respectively, and determining the expected power information of the energy storage device, the load device, and the photovoltaic device at the next moment respectively; and determining the power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the second time range according to the power information at the next moment, the predicted power information at the next moment, and the expected power information at the next moment.

[0013] According to another aspect of the embodiments of the present invention, there is also provided a power determination device based on demand response, including: an acquisition module, configured to acquire the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the current moment; a prediction module, configured to predict the predicted power information of the load device and the photovoltaic device at the current moment according to the power information of the load device and the photovoltaic device at the historical moment; a first processing module, configured to solve the expected power information of the energy storage device, the load device, and the photovoltaic device at the current moment according to an integer programming model, wherein the integer programming model takes the maximization of the energy storage regulation margin in the demand response scenario as the objective function; a second processing module, configured to determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device within a first time range according to the power information, the predicted power information, and the expected power information.

[0014] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the above-mentioned power determination method based on demand response when running.

[0015] According to another aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors; a memory for storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement a program for running, wherein the program is configured to execute the above-mentioned power determination method based on demand response when running.

[0016] In the embodiments of the present invention, by calculating the target power information according to the predicted power information and the expected power information of the devices in the industrial park, the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the current moment is acquired, then the predicted power information of the load device and the photovoltaic device at the current moment is predicted according to the power information of the load device and the photovoltaic device at the historical moment, and then the expected power information of the energy storage device, the load device, and the photovoltaic device at the current moment is solved according to the integer programming model, so as to determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device within a first time range according to the power information, the predicted power information, and the expected power information.

[0017] In the above process, by predicting the predicted power information of each device based on the historical power information of the energy storage devices, load devices, and photovoltaic devices in the industrial park, the accurate prediction of the predicted power information of each device at the current moment is realized; by solving the expected power information of each device at the current moment according to the integer programming model, when reserving the energy storage regulation margin for the industrial park, the expected value of the power information of each device is effectively determined according to the reserved energy storage regulation margin. By determining the target power information to be set for each device based on the power information, predicted power information, and expected power information, the target power information to be set for each device is determined based on the actual power situation, power prediction situation, and power expectation situation of each device, thereby realizing the determination of the target power information by combining multi-dimensional power information, improving the credibility of determining the target power information, that is, improving the accuracy of determining the power to be set for each device in the industrial park.

[0018] It can be seen that the solution provided by this application achieves the purpose of calculating the target power information based on the predicted power information and expected power information of the devices in the industrial park, thereby realizing the technical effect of improving the accuracy of determining the power to be set for each device in the industrial park, and further solving the technical problem of low accuracy in determining the power to be set for each device in the industrial park when reserving the energy storage regulation margin for the industrial park in the demand response scenario. Brief Description of the Drawings

[0019] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a schematic diagram of an optional power determination method based on demand response according to an embodiment of the present invention;

[0021] Figure 2 is a flowchart of an optional power determination method based on demand response according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of an optional power determination device based on demand response according to an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of an optional electronic device according to an embodiment of the present invention. Detailed Description of the Embodiments

[0024] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0027] Embodiment 1

[0028] According to an embodiment of the present invention, an embodiment of a method for determining power based on demand response is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0029] Figure 1 is a schematic diagram of an optional method for determining power based on demand response according to an embodiment of the present invention. As Figure 1 shown, the method includes the following steps:

[0030] Step S101, obtain the power information of the energy storage device, load device, and photovoltaic device in the industrial park at the current moment respectively.

[0031] Optionally, devices such as electronic devices, automation control systems, and energy management systems can be used as the execution body of this application. In this embodiment, the power determination system is used as the execution body to obtain the above-mentioned power information.

[0032] Among them, index data such as the power and charge-discharge power of the energy storage device are crucial for understanding the current state and performance of the energy storage device. The load devices include adjustable load devices and non-adjustable load devices.

[0033] Optionally, in this embodiment, 96 evenly arranged moments can be determined from a day (24 hours), with a 15-minute interval between two adjacent moments. The serial numbers of each moment can be represented by i. For example, the moment when i = 1 represents 0:00, and the moment when i = 96 represents 23:45.

[0034] Optionally, in this embodiment, whenever the current moment is one of the aforementioned 96 moments, the power determination method based on demand response provided in this embodiment is executed once.

[0035] Optionally, the power information of the energy storage device may include the charge-discharge power of the energy storage device, and the energy storage state of the energy storage device includes the remaining power SOC, the rated capacity Q batRate and the maximum charge-discharge power P BAT .

[0036] Optionally, the power information of the load device may include the load adjustment range (P LoadAdjMin ~P LoadAdjMax ), the power consumption of the adjustable load P AdjLoadCurrent and the power consumption of the non-adjustable load P LoadCurrent .

[0037] Optionally, the power information of the photovoltaic device may include the photovoltaic power generation power P PVCurrent .

[0038] Optionally, in this embodiment, the power determination system may also obtain the grid connection point demand power P req_i .

[0039] Step S102, based on the power information of the load device and the photovoltaic device at historical moments, predict the predicted power information of the load device and the photovoltaic device at the current moment.

[0040] Optionally, the power determination system may predict the predicted value sequences of the photovoltaic device, the non-adjustable load device, and the adjustable load device based on the long short-term memory network algorithm. For example, input the power information of the load device at historical moments into the long short-term memory network algorithm to obtain the predicted power information of the load device at the current moment, and input the power information of the photovoltaic device at historical moments into the long short-term memory network algorithm to obtain the predicted power information of the photovoltaic device at the current moment.

[0041] Optionally, the predicted power information of the load device at the current moment may include the predicted value of the non-adjustable load power consumption (the value is positive, PloadPred_i ), the predicted value of the non-adjustable load power consumption is also the predicted power consumption value of the non-adjustable load equipment; the predicted power information of the load equipment at the current moment may further include the predicted value of the adjustable load power consumption (the value is positive, P AdjloadPred_i ), the predicted value of the adjustable load power consumption is also the predicted power consumption value of the adjustable load equipment.

[0042] Optionally, the predicted power information of the photovoltaic equipment at the current moment may include the predicted future solar power output value of the photovoltaic (the value is positive, P pvPred_i ), that is, the predicted power generation value.

[0043] Step S103, according to the integer programming model, solve the expected power information of the energy storage device, the load device, and the photovoltaic device at the current moment, where the integer programming model takes maximizing the energy storage regulation margin in the demand response scenario as the objective function.

[0044] Optionally, the integer programming model includes an objective function and multiple constraint conditions. Among them, the objective function is used to maximize the energy storage regulation margin, and the multiple constraint conditions can be determined according to the power information of the energy storage device, the load device, and the photovoltaic device.

[0045] Optionally, the parameters to be solved in the integer programming model at least include the charge and discharge power P of the energy storage device bat_i , the power consumption P of the adjustable load device adjLoad_i and the limited output power P of the photovoltaic device pv_i .

[0046] Optionally, the expected power information at the solved current moment is the maximum available margin recommended value (P bat_i , P adjLoad_i and P pv_i ), that is, the expected charge and discharge power of the energy storage device, the expected power consumption of the adjustable load device, and the expected limited output power of the photovoltaic device. Among them, when the value of the expected charge and discharge power is greater than 0, it means discharging, and when it is less than 0, it means charging.

[0047] Step S104, according to the power information, the predicted power information, and the expected power information, determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range.

[0048] Optionally, the power determination system determines the charge and discharge power of the energy storage device, the power consumption of the adjustable load device, and the limited output power of the photovoltaic device to be set within the first time range through the obtained power information, predicted power information, and expected power information. Among them, the first time range represents a 15-minute control interval from the current moment (e.g., moment i) to the next moment (e.g., moment i + 1).

[0049] For example, according to the power information and predicted power information of each device (i.e., energy storage device, load device, and photovoltaic device), the target deviation value between the actual power and the predicted power of the grid connection point at the current moment is calculated. Thus, for each device, the target power information of the device is determined according to the target deviation value and the desired power information of the device.

[0050] Based on the solution defined in the above steps S101 to S104, it can be known that in the embodiment of the present invention, by using the method of calculating the target power information according to the predicted power information and desired power information of the devices in the industrial park, the power information of the energy storage device, load device, and photovoltaic device in the industrial park at the current moment is obtained. Then, according to the power information of the load device and the photovoltaic device at the historical moment, the predicted power information of the load device and the photovoltaic device at the current moment is predicted. Next, according to the integer programming model, the desired power information of the energy storage device, load device, and photovoltaic device at the current moment is solved. Thus, according to the power information, predicted power information, and desired power information, the target power information to be set for the energy storage device, load device, and photovoltaic device within the first time range is determined.

[0051] In the above process, by predicting the predicted power information of each device according to the historical power information of the energy storage device, load device, and photovoltaic device in the industrial park, the accurate prediction of the predicted power information of each device at the current moment is realized; by solving the desired power information of each device at the current moment according to the integer programming model, when reserving the energy storage regulation margin for the industrial park, the expected value of the power information of each device is effectively determined according to the reserved energy storage regulation margin. By determining the target power information to be set for each device according to the power information, predicted power information, and desired power information, the target power information to be set for each device is determined based on the actual power situation, power prediction situation, and power expectation situation of each device. Thus, the determination of the target power information by combining multi-dimensional power information is realized, the credibility of determining the target power information is improved, that is, the accuracy of determining the power to be set for each device in the industrial park is improved.

[0052] It can be seen that the solution provided by the present application achieves the purpose of calculating the target power information according to the predicted power information and desired power information of the devices in the industrial park, thus realizing the technical effect of improving the accuracy of determining the power to be set for each device in the industrial park. Furthermore, it solves the technical problem of low accuracy in determining the power to be set for each device in the industrial park when reserving the energy storage regulation margin for the industrial park in the demand response scenario in the related art.

[0053] In an alternative embodiment, in the process of predicting the predicted power information of each device at the current moment based on the power information of the load device and the photovoltaic device at historical moments, the power determination system can predict the predicted power generation value of the photovoltaic device at the current moment according to the power generation power value of the photovoltaic device at historical moments, and then predict the predicted power consumption value of the load device at the current moment according to the power consumption power value of the load device at historical moments. Then, according to the predicted power generation value of the photovoltaic device at the current moment, the photovoltaic power limit adjustment range of the photovoltaic device at the current moment is determined, so as to determine the predicted power information of the photovoltaic device at the current moment based on the predicted power generation value and the photovoltaic power limit adjustment range, and determine the predicted power information of the load device at the current moment based on the predicted power consumption value.

[0054] Optionally, the power determination system analyzes the power generation power data of the photovoltaic device and the power consumption power data of the load device at historical moments, such as the power generation and power consumption in the past week, and predicts the future solar power generation prediction value of the photovoltaic based on the Long Short-Term Memory (LSTM) algorithm ( i.e., the above-mentioned predicted power generation value), the prediction value of the non-adjustable load (P loadPred_i ), and the prediction value of the adjustable load (P AdjloadPred_i ) (i.e., the above-mentioned predicted power consumption value). The above sequences are all 96-point daily prediction values (at 15-minute intervals). Serial number 1 represents the prediction value at 0:00, and 96 represents the prediction value at 23:45. Furthermore, the power generation power and power consumption demand at the current moment are obtained. This prediction process takes into account factors such as seasonal changes and weather conditions to ensure the accuracy of the results. If a certain load device usually consumes more power during peak hours, the system will adjust the current prediction value accordingly to reflect this trend.

[0055] After obtaining the predicted power generation value, based on the characteristics of the photovoltaic controller and the photovoltaic modules, the photovoltaic power limit adjustment range (P PVadjMin_i ~P PVadjMax_i ) of the photovoltaic device is determined. The calculation formula is as follows:

[0056] P PVadjMax_i =k1*P pvPred_i ,

[0057] P PVadjMin_i =k2*P pvPred_i ,

[0058] Among them, the letter i represents the serial number, with values of 1, 2, …, 96 respectively; k1 and k2 represent the photovoltaic control proportionality coefficients, with values ranging from 0 to 1, which are selected according to the device performance characteristics and system safety requirements. Generally, k1 = 1 and k2 = 0. The power limit adjustment range defines the maximum output power range of the photovoltaic device in the power limit mode. For example, under specific weather conditions, the maximum output power may be limited between 100KW and 80KW.

[0059] After obtaining the predicted power generation power value and the photovoltaic power limit adjustment range, the power determination system determines the predicted power generation power value and the photovoltaic power limit adjustment range as the predicted power information of the photovoltaic device at the current moment, and determines the predicted power consumption power value as the predicted power information of the load device at the current moment.

[0060] It should be noted that through the above method, the accurate determination of the predicted power information of the photovoltaic device and the load device at the current moment is realized by combining the existing data, making the prediction result more credible, and thus the accuracy of the target power information determined subsequently can be improved.

[0061] In an optional embodiment, the power determination system can determine the integer programming model in the following way: determine the energy storage constraint conditions according to the energy storage state of the energy storage device, where the energy storage state includes the remaining power, the rated capacity, and the maximum charge and discharge power of the energy storage device; determine the photovoltaic constraint conditions according to the photovoltaic power limit adjustment range; determine the load constraint conditions according to the adjustable power range of the load device; determine the grid connection point constraint conditions according to the required power of the grid connection point; determine the objective function according to the charge and discharge power of the energy storage device and the limited output power of the photovoltaic device; determine the integer programming model according to the energy storage constraint conditions, the photovoltaic constraint conditions, the load constraint conditions, the grid connection point constraint conditions, and the objective function.

[0062] Optionally, for the remaining power, the rated capacity, and the maximum charge and discharge power included in the energy storage state, these data are used as constraint conditions to ensure that the system does not exceed the capabilities of the devices during operation; for the photovoltaic constraint conditions determined by the photovoltaic power limit adjustment range, this information helps the system consider the actual power generation capacity of the photovoltaic during the optimization process; for the load constraint conditions determined by the adjustable power range of the load device, the system can use this information to flexibly adjust the load and avoid exceeding the safety range; for the grid connection point constraint conditions determined by the required power of the grid connection point, the system must ensure that the total power provided meets this requirement.

[0063] In addition, the system also needs to combine the charge and discharge power of the energy storage device and the power of the photovoltaic device to determine the objective function, and the objective function can ensure the maximum utilization of the photovoltaic and the maximum reservation of the energy storage regulation margin to achieve the optimal energy distribution.

[0064] For example, the maximum available margin recommended values of energy storage, adjustable load, and PV at the current moment to ensure the objective function can be obtained through the integer programming method, denoted as P bat_i , P adjLoad_i and P pv_i , where P bat_i represents the charge and discharge power of the energy storage device, P adjLoad_i represents the power consumption of the adjustable load device, and P pv_i represents the limited output power of the PV device. In all the following equations, k represents the corresponding serial number at the current moment, arranged at intervals of 15 minutes. The serial number 1 represents the predicted value at 0:00, and 96 represents the predicted value at 23:45. The value of k is from 1 to 96, and it can be understood that k is the same as i. The objective function to ensure the maximum utilization of PV and the maximum reserve of the energy storage regulation margin can be expressed as:

[0065]

[0066] The constraint conditions include the following power constraint conditions: Energy storage constraint conditions:

[0067] -P BAT ≤P bat_k ≤P BAT

[0068] 0.1 ≤ SOC k ≤ 0.9

[0069]

[0070] where P BAT represents the maximum charge and discharge power, P bat_k represents the charge and discharge power of the energy storage device, SOC k represents the remaining power at the k-th moment, and Q batRate represents the rated capacity.

[0071] PV constraint conditions:

[0072] P PVadjMin_k ≤P pv_k ≤P PVadjMax_k

[0073] where P PVadjMin_k and P PVadjMax_k represent the upper and lower limits of the PV power limit adjustment range respectively, and P pv_k represents the limited output power of the PV device at the k-th moment.

[0074] Load constraint conditions:

[0075] P LoadAdjMin ≤P adjLoad_k ≤P LoadAdjMax

[0076] Among them, P LoadAdjMin and P LoadAdjMax respectively represent the upper and lower limits of the adjustable load regulation range (i.e., the adjustable power range of the adjustable load device), and P adjLoad_k represents the power consumption of the adjustable load device at time k.

[0077] Point of common coupling constraint conditions:

[0078] P PCC_k = P pvPred_k - P adjLoad_k - P loadPred_k

[0079] 0 ≤ P PCC_k ≤ P req_k (P req_k ≥ 0)

[0080] P PCC_k ≥ P req_k (P req_k ≤ 0)

[0081] Among them, P PCC_k represents the power of the point of common coupling constraint at time k, P pvPred_k represents the predicted value of the future PV output at time k, P adjLoad_k represents the power consumption of the adjustable load at time k, P loadPred_k represents the daily power consumption of the non-adjustable load at time k, and P req_k represents the power demand value of the point of common coupling at time k.

[0082] It should be noted that after determining the constraint conditions and objective functions of each device, the system can determine the integer programming model, and then set the optimization objective of maximizing the energy storage regulation margin to achieve the comprehensive optimization management of energy storage devices, PV devices and load devices, improving the accuracy of the power to be set for each device in the industrial park.

[0083] In an alternative embodiment, in the process of determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device within the first time range according to the power information, the predicted power information, and the desired power information, the power determination system may calculate the target deviation value between the actual power and the predicted power of the grid connection point at the current moment based on the power information and the predicted power information of the photovoltaic device, and the power information and the predicted power information of the load device; then calculate the adjustable margin of the energy storage device at the current moment according to the desired power information and the maximum charge and discharge power of the energy storage device to obtain the first adjustable margin; calculate the adjustable margin of the load device at the current moment according to the power information of the load device and the adjustable power consumption interval to obtain the second adjustable margin; calculate the adjustable margin of the photovoltaic device at the current moment according to the desired power information of the photovoltaic device and the power information of the photovoltaic device to obtain the third adjustable margin; finally, determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device within the first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin.

[0084] Optionally, the power determination system may calculate the deviation value between the real-time power and the predicted power of the grid connection point at the current moment according to the following formula:

[0085] ΔP PCC =-(P PVCurrent -P pvPred_i (-P AdjLoadCurrent -P AdjloadPred_i )-(P LoadCurrent -P loadPred_i ))

[0086] Wherein, ΔP PCC represents the target deviation value, P PVCurrent , P AdjLoadCurrent , P LoadCurrent respectively represent the photovoltaic output power, the adjustable load power consumption, and the non-adjustable load power consumption values at the current moment.

[0087] Optionally, calculate the adjustable margin (i.e., the first adjustable margin) minP ΔbatADJ , maxP ΔbatADJ of the energy storage device at the current moment, the adjustable margin (i.e., the second adjustable margin) minP ΔLoadADJ , maxP ΔLoadADJ of the adjustable load device, and the adjustable margin (i.e., the third adjustable margin) minP ΔpvADJ , maxP ΔpvADJ of the photovoltaic device, and then calculate the total adjustment margin P Δtotal . Among them, for the energy storage device, according to its desired power information P bat_i (i.e., the charge and discharge power of the above-mentioned energy storage device) and the maximum charge and discharge power PBAT Calculate its first adjustable margin at the current moment:

[0088] maxP ΔbatADJ = P BAT - P bat_i

[0089] minP ΔbatADJ = -P BAT - P bat_i

[0090] For adjustable load devices, according to their power information P AdjLoadCurrent and the adjustable power range (P LoadAdjMin ~P LoadAdjMax ), calculate its second adjustable margin at the current moment:

[0091] maxP ΔLoadADJ = P AdjLoadCurrent - P LoadAdjMin

[0092] minP ΔLoadADJ = P LoadAdjMax - P AdjLoadCurrent

[0093] For photovoltaic devices, according to their expected power information P pv_i (i.e., the limited output power of the above photovoltaic devices) and the photovoltaic output power information P PVCurrent calculate its third adjustable margin at the current moment:

[0094] maxP ΔpvADJ = k1 * P PVCurrent - P pv_i

[0095] minP ΔpvADJ = k2 * P PVCurrent - P pv_i

[0096] Finally, combining the target deviation value ΔP PCC , the first adjustable margin minP ΔbatADJ , maxP ΔbatADJ , the second adjustable margin minP ΔLoadADJ , maxP ΔLoadADJ , and the third adjustable margin minP ΔpvADJ , maxP ΔpvADJ , the power determination system determines the target power information to be set for the energy storage device, load device, and photovoltaic device within the first time range.

[0097] It should be noted that this method accurately calculates and determines the target power information to be set for each device within the first time range by comprehensively analyzing the power information, predicted power information, and desired power information of energy storage devices, photovoltaic devices, and load devices. By calculating the target deviation value of the grid connection point and the adjustable margins of each device, the system can dynamically adjust the power output of each device, improving the accuracy of the power setting of each device, thereby achieving more precise power management.

[0098] In an alternative embodiment, in the process of determining the target power information to be set for the energy storage device, load device, and photovoltaic device respectively within the first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin, the power determination system may first calculate the total adjustment margin based on the first adjustable margin, the second adjustable margin, and the third adjustable margin, and then determine the target power information of the energy storage device according to the desired power information of the energy storage device, the target deviation value, the total adjustment margin, and the first adjustable margin. Then, determine the target power information of the load device according to the desired power information of the load device, the target deviation value, the total adjustment margin, and the second adjustable margin. Finally, determine the target power information of the photovoltaic device according to the desired power information of the photovoltaic device, the target deviation value, the total adjustment margin, and the third adjustable margin.

[0099] Optionally, the power determination system first calculates the obtained first adjustable margin minP ΔbatADJ 、maxP ΔbatADJ , the second adjustable margin minP ΔLoadADJ 、maxP ΔLoadADJ , and the third adjustable margin minP ΔpvADJ 、maxP ΔpvADJ to obtain the total adjustment margin minP total 、maxP Δtotal :

[0100] maxP Δtotal =maxP ΔbatADJ +max P ΔLoadADJ +maxP ΔpvADJ

[0101] minP Δtotal =minP ΔbatADJ +minP ΔLoadADJ +minP ΔpvADJ

[0102] Optionally, after obtaining the total adjustment margin, according to the desired power information of the energy storage device, load device, and photovoltaic device (the maximum available margin recommended value (P bat_i , P adjLoad_i and P pv_i), i.e., the expected charge-discharge power of the energy storage device, the expected power consumption of the adjustable load device, and the expected limited output power of the photovoltaic device), the target deviation information ΔP PCC (i.e., the power deviation value at the grid connection point mentioned above), the total adjustment margin, and the adjustable margins corresponding to each device, to determine the target power information of each device, that is, to determine the charge-discharge power P Setbat_i to be set for the energy storage device, the power consumption P SetadjLoad_i to be set for the adjustable load device, and the limited output power P Setpv_i to be set for the photovoltaic device. For example, when ΔP PCC ≥ 0:

[0103]

[0104] When ΔP PCC < 0:

[0105]

[0106] It should be noted that the power determination system can flexibly adjust the power output of each device according to the real-time deviation by calculating the total adjustment margin and combining the specific adjustment capabilities of each device, ensuring more accurate power setting. This method optimizes power scheduling, improves the accuracy of the set power of each device, and effectively responds to power fluctuations and changes.

[0107] In an optional embodiment, in the process of calculating the total adjustment margin based on the first adjustable margin, the second adjustable margin, and the third adjustable margin, the power determination system can first sum up the upward adjustable margins among the first adjustable margin, the second adjustable margin, and the third adjustable margin to obtain the upward total adjustment margin; then sum up the downward adjustable margins among the first adjustable margin, the second adjustable margin, and the third adjustable margin to obtain the downward total adjustment margin; finally, determine the upward total adjustment margin and the downward total adjustment margin as the total adjustment margin.

[0108] Among them, the upward adjustable margin can be understood as the maximum margin that can be adjusted in the direction of increasing power, and the downward adjustable margin can be understood as the maximum margin that can be adjusted in the direction of decreasing power.

[0109] Optionally, the upward adjustable margins among the first adjustable margin, the second adjustable margin, and the third adjustable margin are respectively the above-mentioned maxP ΔbatADJ , maxP ΔLoadADJ , maxP ΔpvADJ ; the downward adjustable margins among the first adjustable margin, the second adjustable margin, and the third adjustable margin are respectively the above-mentioned minP ΔbatADJ , minP ΔLoadADJ , minP total; The upward total adjustment margin is the above-mentioned maxP Δtotal , and the downward total adjustment margin is the above-mentioned minP total .

[0110] It should be noted that by providing the above process, the accurate determination of the total adjustment margin is realized, thereby improving the accuracy of the equipment power setting.

[0111] In an alternative embodiment, after determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range, the power determination system can adjust the power of the energy storage device, the load device, and the photovoltaic device based on the target power information; then at the next moment of the current moment, continue to obtain the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park respectively at the next moment, and predict the predicted power information of the load device and the photovoltaic device respectively at the next moment, and determine the desired power information of the energy storage device, the load device, and the photovoltaic device respectively at the next moment; thereby determine the power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the second time range according to the power information, the predicted power information, and the desired power information at the next moment.

[0112] For example, Figure 2 is a flowchart of an alternative power determination method based on demand response according to an embodiment of the present invention. As Figure 2 shown, when the current moment is the i-th moment, the power determination system obtains the power information of the energy storage device, the load device, and the photovoltaic device respectively at the current moment (i.e., Figure 2 the initial power information in), calculates the target power information of each device within the first time range according to the power information of the energy storage device, the load device, and the photovoltaic device respectively at the current moment, and adjusts the power of each device based on these target power information. For example, when the target power information indicates that the energy storage device should release power and the photovoltaic device should output power, the system will instruct the energy storage device to modify the power setting to discharge at an appropriate speed, and modify the power setting information of the photovoltaic device to adjust the output, thereby improving the accuracy of the power setting.

[0113] Optionally, in order to maintain the system stability, the system can periodically determine the new target power information of each device, and then set the power of each device based on the new target power information. For example, as Figure 2As shown in the figure, the system determines in real time whether the current time point has reached the next moment (i.e., the (i + 1)-th moment). If it has not reached, it waits to enter the next moment. If it has reached, it predicts the power information of the load device and the photovoltaic device at the next moment based on the power information of each device at the next moment, and then determines the expected power information of the energy storage device, the load device, and the photovoltaic device at the next moment. Finally, by combining the power information, the predicted power information, and the expected power information at the next moment, the system determines the power information to be set for each device within the second time range and performs relevant settings, and so on in a cycle. Herein, the second time range represents the time range between the next moment (i.e., the (i + 1)-th moment) and the moment after the next moment (i.e., the (i + 2)-th moment).

[0114] It should be noted that by obtaining the power information to be set within the second time range through cycling, the system can achieve real-time power regulation, achieving the technical effect of improving the accuracy of the power to be set for each device in the industrial park, and achieving the purpose of calculating the target power information based on the predicted power information and the expected power information of the devices in the industrial park.

[0115] It can be seen that the solution provided by the present application achieves the purpose of efficient management and optimal allocation of energy by calculating the target power based on the existing power information of the devices in the industrial park, thus achieving the technical effect of maximizing the energy storage regulation margin, and further solving the technical problem of low accuracy in determining the power to be set for each device in the industrial park when reserving the energy storage regulation margin for the industrial park in the demand response scenario.

[0116] Embodiment 2

[0117] According to an embodiment of the present invention, an embodiment of a power determination device based on demand response is provided, wherein Figure 3 is a schematic diagram of an optional power determination device based on demand response according to an embodiment of the present invention, as Figure 3 shown, the device includes:

[0118] An acquisition module 301, configured to acquire the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the current moment respectively;

[0119] A prediction module 302, configured to predict the predicted power information of the load device and the photovoltaic device at the current moment respectively according to the power information of the load device and the photovoltaic device at the historical moment;

[0120] A first processing module 303, configured to solve the expected power information of the energy storage device, the load device, and the photovoltaic device at the current moment respectively according to an integer programming model, wherein the integer programming model takes maximizing the energy storage regulation margin in the demand response scenario as the objective function;

[0121] The second processing module 304 is configured to determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range according to the power information, the predicted power information, and the desired power information.

[0122] It should be noted that the above-mentioned acquisition module 301, prediction module 302, first processing module 303, and second processing module 304 correspond to steps S101 to S104 in the above embodiment. The examples and application scenarios implemented by the four modules and the corresponding steps are the same, but are not limited to the content disclosed in the above-mentioned embodiment 1.

[0123] Optionally, the prediction module 302 further includes: a first prediction sub-module, configured to predict the predicted power generation value of the photovoltaic device at the current moment according to the power generation power value of the photovoltaic device at the historical moment; a second prediction sub-module, configured to predict the predicted power consumption value of the load device at the current moment according to the power consumption power value of the load device at the historical moment; a first processing sub-module, configured to determine the photovoltaic power limit adjustment interval of the photovoltaic device at the current moment according to the predicted power generation value of the photovoltaic device at the current moment; a second processing sub-module, configured to determine the predicted power information of the photovoltaic device at the current moment based on the predicted power generation value and the photovoltaic power limit adjustment interval, and determine the predicted power information of the load device at the current moment based on the predicted power consumption value.

[0124] Optionally, the power determination device based on demand response further includes: a first determination module, configured to determine the energy storage constraint conditions according to the energy storage state of the energy storage device, where the energy storage state includes the remaining power, the rated capacity, and the maximum charge and discharge power of the energy storage device; a second determination module, configured to determine the photovoltaic constraint conditions according to the photovoltaic power limit adjustment interval; a third determination module, configured to determine the load constraint conditions according to the adjustable power consumption interval of the load device; a fourth determination module, configured to determine the grid connection point constraint conditions according to the required power at the grid connection point; a fifth determination module, configured to determine the objective function according to the charge and discharge power of the energy storage device and the limited output power of the photovoltaic device; a sixth determination module, configured to determine an integer programming model according to the energy storage constraint conditions, the photovoltaic constraint conditions, the load constraint conditions, the grid connection point constraint conditions, and the objective function.

[0125] Optionally, the second processing module 304 further includes: a first calculation sub-module, configured to calculate a target deviation value between the actual power and the predicted power of the grid connection point at the current moment according to the power information and the predicted power information of the photovoltaic device, the power information of the load device, and the predicted power information; a second calculation sub-module, configured to calculate an adjustable margin of the energy storage device at the current moment according to the expected power information and the maximum charge and discharge power of the energy storage device, to obtain a first adjustable margin; a third calculation sub-module, configured to calculate an adjustable margin of the load device at the current moment according to the power information of the load device and the adjustable range of the power consumption, to obtain a second adjustable margin; a fourth calculation sub-module, configured to calculate an adjustable margin of the photovoltaic device at the current moment according to the expected power information and the power information of the photovoltaic device, to obtain a third adjustable margin; a first determination sub-module, configured to determine the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin.

[0126] Optionally, the first determination sub-module further includes: a first calculation unit, configured to calculate a total adjustment margin according to the first adjustable margin, the second adjustable margin, and the third adjustable margin; a first determination unit, configured to determine the target power information of the energy storage device according to the expected power information of the energy storage device, the target deviation value, the total adjustment margin, and the first adjustable margin; a second determination unit, configured to determine the target power information of the load device according to the expected power information of the load device, the target deviation value, the total adjustment margin, and the second adjustable margin; a third determination unit, configured to determine the target power information of the photovoltaic device according to the expected power information of the photovoltaic device, the target deviation value, the total adjustment margin, and the third adjustable margin.

[0127] Optionally, the first calculation unit further includes: a first summation sub-unit, configured to sum the upward adjustable margins in the first adjustable margin, the upward adjustable margins in the second adjustable margin, and the upward adjustable margins in the third adjustable margin to obtain an upward total adjustment margin; a second summation sub-unit, configured to sum the downward adjustable margins in the first adjustable margin, the downward adjustable margins in the second adjustable margin, and the downward adjustable margins in the third adjustable margin to obtain a downward total adjustment margin; a first determination sub-unit, configured to determine the upward total adjustment margin and the downward total adjustment margin as the total adjustment margin.

[0128] Optionally, the demand response-based power determination device further includes: an adjustment module configured to adjust the power of the energy storage device, the load device, and the photovoltaic device based on the target power information; a third processing module configured to, at the next moment of the current moment, continue to obtain the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the next moment, predict the predicted power information of the load device and the photovoltaic device at the next moment, and determine the desired power information of the energy storage device, the load device, and the photovoltaic device at the next moment; a fourth processing module configured to determine the power information to be set for the energy storage device, the load device, and the photovoltaic device within the second time range according to the power information at the next moment, the predicted power information at the next moment, and the desired power information at the next moment.

[0129] Embodiment 3

[0130] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-mentioned demand response-based power determination method when running.

[0131] Embodiment 4

[0132] According to another aspect of the embodiments of the present invention, there is also provided an electronic device, wherein Figure 4 is a schematic diagram of an optional electronic device according to an embodiment of the present invention, as Figure 4 shown, the electronic device includes one or more processors; a memory configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement a program for running, wherein the program is configured to execute the above-mentioned demand response-based power determination method when running.

[0133] Optionally, when the processor executes the program, the following steps are further implemented: obtaining the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the current moment; predicting the predicted power information of the load device and the photovoltaic device at the current moment according to the power information of the load device and the photovoltaic device at the historical moment; solving the desired power information of the energy storage device, the load device, and the photovoltaic device at the current moment according to an integer programming model, wherein the integer programming model takes the maximization of the energy storage regulation margin in the demand response scenario as the objective function; determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device within the first time range according to the power information, the predicted power information, and the desired power information.

[0134] Optionally, when the processor executes the program, the following steps are also implemented: predicting the predicted power generation value of the photovoltaic device at the current moment based on the power generation power value of the photovoltaic device at the historical moment; predicting the predicted power consumption value of the load device at the current moment based on the power consumption power value of the load device at the historical moment; determining the photovoltaic power limit adjustment interval of the photovoltaic device at the current moment according to the predicted power generation value of the photovoltaic device at the current moment, where the photovoltaic power limit adjustment interval refers to the value interval in which the maximum output power of the photovoltaic device is limited in the power limit mode of the photovoltaic device; determining the predicted power information of the photovoltaic device at the current moment based on the predicted power generation value and the photovoltaic power limit adjustment interval, and determining the predicted power information of the load device at the current moment based on the predicted power consumption value.

[0135] Optionally, when the processor executes the program, the following steps are also implemented: determining the energy storage constraint conditions according to the energy storage state of the energy storage device, where the energy storage state includes the remaining power, the rated capacity, and the maximum charge and discharge power of the energy storage device; determining the photovoltaic constraint conditions according to the photovoltaic power limit adjustment interval; determining the load constraint conditions according to the adjustable power interval of the load device; determining the grid connection point constraint conditions according to the required power of the grid connection point; determining the objective function according to the charge and discharge power of the energy storage device and the limited output power of the photovoltaic device; determining the integer programming model according to the energy storage constraint conditions, the photovoltaic constraint conditions, the load constraint conditions, the grid connection point constraint conditions, and the objective function.

[0136] Optionally, when the processor executes the program, the following steps are also implemented: calculating the target deviation value between the actual power and the predicted power of the grid connection point at the current moment according to the power information and the predicted power information of the photovoltaic device, the power information and the predicted power information of the load device; calculating the adjustable margin of the energy storage device at the current moment according to the desired power information and the maximum charge and discharge power of the energy storage device to obtain the first adjustable margin; calculating the adjustable margin of the load device at the current moment according to the power information and the adjustable power interval of the load device to obtain the second adjustable margin; calculating the adjustable margin of the photovoltaic device at the current moment according to the desired power information and the power information of the photovoltaic device to obtain the third adjustable margin; determining the target power information to be set for the energy storage device, the load device, and the photovoltaic device respectively within the first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin.

[0137] Optionally, when the processor executes the program, the following steps are further implemented: calculating a total adjustment margin based on the first adjustable margin, the second adjustable margin, and the third adjustable margin; determining the target power information of the energy storage device according to the expected power information of the energy storage device, the target deviation value, the total adjustment margin, and the first adjustable margin; determining the target power information of the load device according to the expected power information of the load device, the target deviation value, the total adjustment margin, and the second adjustable margin; determining the target power information of the photovoltaic device according to the expected power information of the photovoltaic device, the target deviation value, the total adjustment margin, and the third adjustable margin.

[0138] Optionally, when the processor executes the program, the following steps are further implemented: summing up the upward adjustable margins in the first adjustable margin, the upward adjustable margins in the second adjustable margin, and the upward adjustable margins in the third adjustable margin to obtain an upward total adjustment margin; summing up the downward adjustable margins in the first adjustable margin, the downward adjustable margins in the second adjustable margin, and the downward adjustable margins in the third adjustable margin to obtain a downward total adjustment margin; determining the upward total adjustment margin and the downward total adjustment margin as the total adjustment margin.

[0139] Optionally, when the processor executes the program, the following steps are further implemented: adjusting the power of the energy storage device, the load device, and the photovoltaic device based on the target power information; at the next moment of the current moment, continue to obtain the power information of the energy storage device, the load device, and the photovoltaic device in the industrial park at the next moment, predict the predicted power information of the load device and the photovoltaic device at the next moment, and determine the expected power information of the energy storage device, the load device, and the photovoltaic device at the next moment; determining the power information to be set for the energy storage device, the load device, and the photovoltaic device within the second time range according to the power information at the next moment, the predicted power information at the next moment, and the expected power information at the next moment.

[0140] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0141] In the above embodiments of the present invention, the descriptions of the respective embodiments have their own emphases. For parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0142] In several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in electrical or other forms.

[0143] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0145] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0146] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A power determination method based on demand response, characterized in that: include: Obtain the power information of energy storage equipment, load equipment and photovoltaic equipment in the industrial park at the current moment; According to the power information of the load device and the photovoltaic device at each historical moment, predict and obtain the predicted power information of the load device and the photovoltaic device at each current moment; According to the integer programming model, solving the expected power information of the energy storage device, the load device and the photovoltaic device at the current moment, wherein the integer programming model takes the maximization of the energy storage regulation margin in the demand response scenario as the objective function; According to the power information, the predicted power information and the expected power information, target power information to be set for each of the energy storage device, the load device and the photovoltaic device within a first time range is determined.

2. The method according to claim 1, characterized in that According to the power information of the load device and the photovoltaic device at each historical moment, the predicted power information of the load device and the photovoltaic device at each current moment is predicted, including: According to the power generation value of the photovoltaic device at the historical moment, predicting the predicted power generation value of the photovoltaic device at the current moment; According to the power consumption value of the load device at the historical moment, predict the power consumption value of the load device at the current moment; Determine the photovoltaic power limit adjustment interval of the photovoltaic device at the current moment according to the predicted power generation value of the photovoltaic device at the current moment, wherein the photovoltaic power limit adjustment interval refers to the value interval in which the maximum output power of the photovoltaic device is limited in the power limit mode of the photovoltaic device; The predicted power information of the photovoltaic device at the current moment is determined based on the predicted power generation value and the photovoltaic power limit adjustment interval, and the predicted power information of the load device at the current moment is determined based on the predicted power consumption value.

3. The method according to claim 2, characterized in that The integer programming model is determined in the following way: Determining energy storage constraints according to the energy storage state of the energy storage device, wherein the energy storage state includes remaining power, rated capacity, and maximum charge and discharge power of the energy storage device; Determining photovoltaic constraint conditions according to the photovoltaic power limit adjustment interval; Determining load constraint conditions according to the adjustable power range of the load equipment; Determine the grid connection point constraint conditions according to the grid connection point's required power; Determine the objective function according to the charge and discharge power of the energy storage device and the limited output power of the photovoltaic device; The integer programming model is determined according to the energy storage constraint condition, the photovoltaic constraint condition, the load constraint condition, the grid connection point constraint condition and the objective function.

4. The method according to claim 2, characterized in that: Determining target power information to be set for each of the energy storage device, the load device, and the photovoltaic device within a first time range according to the power information, the predicted power information, and the expected power information, including: Calculate the target deviation value between the actual power and the predicted power of the grid-connected point at the current moment according to the power information and the predicted power information of the photovoltaic device, the power information and the predicted power information of the load device; Calculate the adjustable margin of the energy storage device at the current moment according to the expected power information and the maximum charge and discharge power of the energy storage device to obtain a first adjustable margin; According to the power information of the load device and the adjustable range of the electric power, the adjustable margin of the load device at the current moment is calculated to obtain a second adjustable margin; According to the expected power information of the photovoltaic device and the power information of the photovoltaic device, an adjustable margin of the photovoltaic device at the current moment is calculated to obtain a third adjustable margin; Target power information to be set for each of the energy storage device, the load device and the photovoltaic device within a first time range is determined according to the target deviation value, the first adjustable margin, the second adjustable margin and the third adjustable margin.

5. The method according to claim 4, characterized in that Determining target power information to be set for each of the energy storage device, the load device, and the photovoltaic device within a first time range according to the target deviation value, the first adjustable margin, the second adjustable margin, and the third adjustable margin, includes: Calculating a total adjustment margin according to the first adjustable margin, the second adjustable margin and the third adjustable margin; Determining target power information of the energy storage device according to the expected power information of the energy storage device, the target deviation value, the total regulation margin, and the first adjustable margin; Determining target power information of the load device according to the expected power information of the load device, the target deviation value, the total regulation margin and the second adjustable margin; The target power information of the photovoltaic device is determined according to the expected power information of the photovoltaic device, the target deviation value, the total regulation margin and the third adjustable margin.

6. The method according to claim 5, characterized in that The total adjustment margin is calculated according to the first adjustable margin, the second adjustable margin and the third adjustable margin, including: summing the upward adjustable margin in the first adjustable margin, the upward adjustable margin in the second adjustable margin, and the upward adjustable margin in the third adjustable margin to obtain a total upward adjustment margin; Summing the downward adjustable margin in the first adjustable margin, the downward adjustable margin in the second adjustable margin, and the downward adjustable margin in the third adjustable margin to obtain a total downward adjustment margin; The upward total adjustment margin and the downward total adjustment margin are determined as the total adjustment margin.

7. The method according to claim 1, characterized in that After determining target power information to be set for each of the energy storage device, the load device, and the photovoltaic device within a first time range, the method includes: Performing power regulation on the energy storage device, the load device, and the photovoltaic device based on the target power information; At a moment next to the current moment, continue to obtain the power information of the energy storage device, the load device and the photovoltaic device in the industrial park at the next moment, predict the predicted power information of the load device and the photovoltaic device at the next moment, and determine the expected power information of the energy storage device, the load device and the photovoltaic device at the next moment; According to the power information at the next moment, the predicted power information at the next moment and the expected power information at the next moment, the power information to be set for each of the energy storage device, the load device and the photovoltaic device within the second time range is determined.

8. A power determination device based on demand response, characterized in that: include: An acquisition module is used to obtain the power information of the energy storage equipment, load equipment and photovoltaic equipment in the industrial park at the current moment; A prediction module, used to predict the predicted power information of the load device and the photovoltaic device at the current moment according to the power information of the load device and the photovoltaic device at the historical moment; A first processing module is used to solve the expected power information of the energy storage device, the load device and the photovoltaic device at the current moment according to an integer programming model, wherein the integer programming model takes maximizing the energy storage regulation margin in the demand response scenario as an objective function; The second processing module is used to determine the target power information to be set for each of the energy storage device, the load device and the photovoltaic device within a first time range according to the power information, the predicted power information and the expected power information.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the power determination method based on demand response described in any one of claims 1 to 7 when running.

10. An electronic device, characterized in that: The electronic device includes one or more processors; A memory for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to run the programs, wherein the program is configured to execute the demand response-based power determination method described in any one of claims 1 to 7 when running.

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