Industrial and commercial energy storage installed capacity prediction method and device and electronic equipment

Abstract

The invention discloses an industrial and commercial energy storage installed capacity prediction method and device and electronic equipment, and relates to the field of microgrids. The method comprises the following steps: calculating average load power of each preset time period according to active load data; on the basis of a preset charging and discharging rule, according to the average load power, the allowable charging power and the allowable discharging power of each preset time period are obtained; calculating the allowable energy storage electric quantity corresponding to each preset time period; sorting the allowable energy storage electric quantities from small to large to obtain a sorting result; determining the minimum energy storage electric quantity corresponding to each preset time period from the plurality of target energy storage electric quantities; calculating the corresponding energy storage installed capacity according to the minimum energy storage electric quantity, and sorting the energy storage installed capacities to obtain the maximum energy storage installed capacity; and taking the maximum energy storage installed capacity as a target energy storage installed capacity recommended to the target industrial and commercial user. By implementing the technical scheme provided by the invention, the target energy storage installed capacity allowed by each preset time period can be accurately estimated.

Description

Technical Field

[0001] The present application relates to the field of microgrids, and specifically to a method, device and electronic equipment for predicting installed capacity of industrial and commercial energy storage. Background Art

[0002] With the transformation of the global energy structure and the widespread use of renewable energy, the stability of the power grid and the complexity of energy management have increased significantly. In this context, energy storage systems (such as battery storage systems) have become a key technology to ensure the continuity of power supply and optimize energy use. Energy storage installed capacity, that is, the maximum amount of electricity that the energy storage system can store or release in a certain period of time, is the cornerstone of ensuring that the system can meet fluctuations in power demand.

[0003] At present, by predicting the installed capacity of energy storage, the energy storage system can be reasonably configured to balance the power grid, absorb excess energy or supplement energy shortages, thereby maintaining the stability of the power grid. Therefore, it is very important to predict the installed capacity of energy storage.

[0004] Therefore, there is an urgent need for a method, device and electronic equipment for predicting installed capacity of industrial and commercial energy storage. Summary of the invention

[0005] The present application provides a method, device and electronic equipment for predicting industrial and commercial energy storage installed capacity, which utilizes active load data of a preset time period to more accurately estimate the target energy storage installed capacity allowed for each preset time period.

[0006] In a first aspect of the present application, a method for predicting industrial and commercial energy storage installed capacity is provided, the method comprising: obtaining active load data of a target industrial and commercial user in a preset historical period; calculating the average load power of each preset period according to the active load data; obtaining the allowable charging power and the allowable discharging power of each preset period according to the average load power based on preset charging and discharging rules; calculating the allowable energy storage power corresponding to each preset period according to the allowable charging power and the allowable discharging power; sorting each allowable energy storage power from small to large to obtain a sorting result; from the sorting result, eliminating a preset number of allowable energy storage powers in order from small to large to obtain multiple target energy storage powers; determining the minimum energy storage power corresponding to each preset period from the multiple target energy storage powers; calculating the corresponding energy storage installed capacity according to the minimum energy storage power, and sorting each energy storage installed capacity to obtain the maximum energy storage installed capacity; using the maximum energy storage installed capacity as the target energy storage installed capacity recommended to the target industrial and commercial user.

[0007] By adopting the above technical solution, by obtaining the active load data of the target industrial and commercial users in the preset historical period, the average load power of each preset period is calculated, and the allowed charging power and allowed discharging power of each preset period are obtained based on the preset charging and discharging rules, and then the allowable energy storage power allowed for each preset period is calculated. Then the allowable energy storage power of each preset period is sorted, and some smaller allowable energy storage powers are eliminated to obtain multiple target energy storage powers. Then, the minimum energy storage power of each time period is determined from the multiple target energy storage powers, and the corresponding energy storage installed capacity is calculated and sorted to obtain the maximum energy storage installed capacity, which is used as the target energy storage installed capacity recommended to the user. This method makes full use of the active load data of the preset period, and more accurately estimates the target energy storage installed capacity allowed for each preset period.

[0008] Optionally, based on the preset charging and discharging rules and according to the average load power, the allowed charging power and the allowed discharging power for each preset time period are obtained, specifically including: obtaining the time-of-use electricity price in the area where the target industrial and commercial users are located; according to the time-of-use electricity price, dividing each preset time period into an allowed charging time period and an allowed discharging time period; for the allowed charging time period, the allowed charging power is equal to the difference between the maximum demand power and the average load power of the allowed charging time period; for the allowed discharging time period, the allowed discharging power is equal to the average load power of the allowed discharging time period.

[0009] By adopting the above technical solution, the preset time period is divided into an allowed charging time period and an allowed discharging time period, and the allowed charging power of the allowed charging time period and the allowed discharging power of the allowed discharging time period are obtained, which can fully reflect the "electricity price difference", a key factor affecting the profitability of the energy storage system. At the same time, in the allowed charging time period, the allowed charging power is calculated by the difference between the maximum demand power and the average load power. The energy storage battery is charged to the maximum extent while ensuring the power load, thereby improving the utilization rate of the energy storage system. In the allowed discharging time period, the allowed discharge power is directly equal to the average load power of the preset time period, which can ensure that the discharge amount of the energy storage battery during the peak power consumption period is sufficient to meet the user's power demand and improve the reliability of power supply.

[0010] Optionally, calculating the allowable energy storage capacity corresponding to each of the preset time periods based on the allowable charging power and the allowable discharging power specifically includes: obtaining a charge and discharge rate characteristic curve of the energy storage battery; determining a maximum charging duration and a maximum discharging duration corresponding to each of the preset time periods based on the charge and discharge rate characteristic curve; multiplying the allowable charging power of the allowable charging time period by the corresponding maximum charging duration to obtain a corresponding first allowable energy storage capacity; multiplying the allowable discharge power of the allowable discharge time period by the corresponding maximum discharge duration to obtain a corresponding second allowable energy storage capacity.

[0011] By adopting the above technical solution, the charge and discharge rate characteristic curve is introduced to determine the maximum charging time and the maximum discharging time corresponding to each preset time period, and thereby obtain the first allowable energy storage capacity of the allowable charging time period and the second allowable energy storage capacity of the allowable discharging time period. This method of calculating the allowable energy storage capacity based on the technical characteristics of the energy storage battery can fully consider the battery's own charging and discharging performance limitations, and by accurately matching the allowable charging power, the allowable discharging power and the corresponding maximum allowable duration, it can maximize the charging and discharging capacity of the energy storage battery while ensuring the safety of the battery and extending the battery cycle life, and achieve the optimal configuration of the energy storage capacity in the time dimension.

[0012] Optionally, the allowing energy storage capacities are sorted from small to large to obtain a sorting result, specifically comprising: summarizing the first allowing energy storage capacity of each allowing charging time period and the second allowing energy storage capacity of each allowing discharging time period to obtain the allowing energy storage capacity of each preset time period; and arranging the allowing energy storage capacity of each preset time period in ascending order according to numerical value to obtain the sorting result.

[0013] By adopting the above technical solution, the first allowed energy storage capacity of each allowed charging period and the second allowed energy storage capacity of each allowed discharging period are summarized to obtain a unified allowed energy storage capacity of each preset period, and then they are arranged in ascending order. This method can "equivalent" the allowed energy storage capacity originally scattered in different charging and discharging periods to a continuous time axis, forming a complete and coherent allowed energy storage capacity series.

[0014] Optionally, before eliminating a preset number of allowable energy storage powers from the sorting results in ascending order to obtain multiple target energy storage powers, the method also includes: obtaining the guaranteed profit days requirement of target industrial and commercial users; and determining the preset number based on the guaranteed profit days requirement.

[0015] By adopting the above technical solution, the minimum profit days requirement of the target industrial and commercial users is obtained, and then the preset number is determined based on the requirement, that is, the number of energy storage power data allowed to be eliminated. The introduction of the minimum profit days requirement can better balance the actual needs of users and the investment income of the energy storage system. When eliminating outliers, considering the minimum profit days requirement can avoid the risk of excessive pursuit of extreme values ​​resulting in actual income not meeting expectations.

[0016] Optionally, determining the minimum energy storage capacity corresponding to each preset time period from multiple target energy storage capacities specifically includes: sorting the target energy storage capacities of each preset time period from small to large, and taking the first target energy storage capacity as the minimum energy storage capacity corresponding to each preset time period.

[0017] By adopting the above technical solution, by sorting the target energy storage capacity, the target energy storage capacity with the smallest value can be quickly found and used as the minimum energy storage capacity. Using the minimum energy storage capacity as the minimum energy storage capacity of each preset time period can ensure that the energy storage system has sufficient energy storage space at any time period.

[0018] Optionally, after obtaining the active load data of the target industrial and commercial user in a preset historical period, the method further includes: obtaining an electricity bill verification link of the target industrial and commercial user; and determining the maximum demand power of the target industrial and commercial user based on the electricity bill verification link.

[0019] By adopting the above technical solution, after obtaining the historical load data of the target user, the user's electricity bill verification information is obtained, and the maximum power demand of the user is determined according to the verification information. The introduction of electricity bill verification information can more accurately grasp the actual electricity consumption of the user.

[0020] In a second aspect of the present application, a device for predicting installed capacity of industrial and commercial energy storage is provided, the device comprising: an acquisition module and a processing module, wherein: the acquisition module is used to acquire active load data of target industrial and commercial users in a preset historical period; the processing module is used to calculate the average load power of each preset period according to the active load data; the processing module is also used to obtain the allowed charging power and the allowed discharging power of each preset period according to the average load power based on preset charging and discharging rules; the processing module is also used to calculate the allowed energy storage power corresponding to each preset period according to the allowed charging power and the allowed discharging power; the processing module , and is also used to sort each of the allowed energy storage capacities from small to large to obtain a sorting result; the processing module is also used to eliminate a preset number of allowed energy storage capacities from the sorting result in order from small to large to obtain multiple target energy storage capacities; the processing module is also used to determine the minimum energy storage capacity corresponding to each of the preset time periods from the multiple target energy storage capacities; the processing module is also used to calculate the corresponding energy storage installed capacity based on the minimum energy storage capacity, and sort each of the energy storage installed capacities to obtain the maximum energy storage installed capacity; the processing module is also used to use the maximum energy storage installed capacity as the target energy storage installed capacity recommended to the target industrial and commercial users.

[0021] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the methods described above is executed.

[0023] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By obtaining the active load data of the target industrial and commercial users in the preset historical period, the average load power of each preset period is calculated, and the allowed charging power and allowed discharging power of each preset period are obtained based on the preset charging and discharging rules, and then the allowable energy storage power allowed in each preset period is calculated. Then the allowable energy storage power of each preset period is sorted, and some smaller allowable energy storage powers are eliminated to obtain multiple target energy storage powers. Then, the minimum energy storage power of each time period is determined from the multiple target energy storage powers, and the corresponding energy storage installed capacity is calculated and sorted to obtain the maximum energy storage installed capacity, which is used as the target energy storage installed capacity recommended to the user. This method makes full use of the active load data of the preset period and more accurately estimates the target energy storage installed capacity allowed for each preset period.

[0024] 2. Divide the preset time period into an allowed charging time period and an allowed discharging time period, and obtain the allowed charging power in the allowed charging time period and the allowed discharging power in the allowed discharging time period, which can fully reflect the "electricity price difference", a key factor affecting the profitability of the energy storage system. At the same time, in the allowed charging time period, the allowed charging power is calculated by the difference between the maximum demand power and the average load power. The energy storage battery is charged to the maximum extent while ensuring the power load, thereby improving the utilization rate of the energy storage system. In the allowed discharging time period, the allowed discharge power is directly equal to the average load power in the preset time period, which can ensure that the discharge amount of the energy storage battery during the peak power consumption period is sufficient to meet the user's power demand and improve the reliability of power supply.

[0025] 3. The charge and discharge rate characteristic curve is introduced to determine the maximum charging time and maximum discharging time corresponding to each preset time period, and the first allowable energy storage capacity in the allowable charging time period and the second allowable energy storage capacity in the allowable discharging time period are obtained. This method of calculating the allowable energy storage capacity based on the technical characteristics of the energy storage battery can fully consider the battery's own charging and discharging performance limitations, and by accurately matching the allowable charging power, the allowable discharging power and the corresponding maximum allowable duration, it can maximize the charging and discharging capacity of the energy storage battery under the premise of ensuring the safety of battery use and extending the battery cycle life, and achieve the optimal configuration of the energy storage capacity in the time dimension. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a method for predicting installed capacity of industrial and commercial energy storage disclosed in an embodiment of the present application; Figure 2It is a module schematic diagram of a device for predicting installed capacity of industrial and commercial energy storage disclosed in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0027] Explanation of the reference numerals: 201, acquisition module; 202, processing module; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0028] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0029] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0030] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0031] This application provides a method for predicting installed capacity of industrial and commercial energy storage, referring to Figure 1 , Figure 1 1 is a flow chart of a method for predicting installed capacity of industrial and commercial energy storage provided in an embodiment of the present application. The method is applied to a server, which is a server that executes an industrial and commercial energy storage installed capacity prediction program. The server can be a single server, or a server cluster composed of multiple servers, or a cloud computing service center. The method includes steps S101 to S109, which are as follows: Step S101: Obtain active load data of target industrial and commercial users in a preset historical period.

[0032] In step S101, the server establishes a communication connection with the power consumption information collection system of the target industrial and commercial user. The power consumption information collection system is composed of smart meters installed at the user's power consumption site, power consumption information collection terminals and other equipment, which can record the user's power consumption data in real time, including active power, reactive power, voltage, current and other parameters.

[0033] The server sends a data request instruction to the electricity consumption information collection system. The data request instruction contains the identification information of the target industrial and commercial user (such as user number, electricity address, etc.) and the preset historical period to be obtained (such as the last year, the last three years, etc.). After receiving the request instruction, the electricity consumption information collection system queries the active load data of the user in the preset historical period from the database, and packages the data into a specific format (such as JSON, XML, etc.) and returns it to the server.

[0034] After step S101, the method further includes: obtaining an electricity bill verification link of the target industrial and commercial user; and determining the maximum demand power of the target industrial and commercial user according to the electricity bill verification link.

[0035] Specifically, after obtaining the historical active load data of the target industrial and commercial user, the server also obtains the target industrial and commercial user's electricity bill verification link to determine its maximum demand power. The electricity bill verification link is the basis for electricity billing provided by the power supply company to the user, recording the key information such as the user's electricity consumption, maximum demand, and electricity bill amount in a billing cycle. The server regularly obtains the target industrial and commercial user's electricity bill verification link data by connecting to the power supply company's billing system, and determines the maximum demand power based on the electricity bill verification link data.

[0036] Step S102: Calculate the average load power of each preset time period according to the active load data.

[0037] In step S102, the server determines the division method of the preset time period. The server divides a day into several equal-length time periods according to the time granularity of the active load data, such as 24 1-hour time periods, 48 ​​30-minute time periods, 96 15-minute time periods, etc. The finer the granularity of the time period division, the finer the average load power curve obtained. The server can select an appropriate time period division method based on specific application scenarios and computing resource conditions, and this application does not limit this. The server extracts the active load data of the target industrial and commercial users in a preset historical period (such as the last year) to form a time series, and groups the above time series according to date and hour, and calculates the average active power value of each preset time period.

[0038] Step S103: Based on the preset charging and discharging rules and the average load power, the allowed charging power and the allowed discharging power in each of the preset time periods are obtained.

[0039] In step S103, the time-of-use electricity price in the area where the target industrial and commercial user is located is obtained; according to the time-of-use electricity price, each of the preset time periods is divided into an allowed charging time period and an allowed discharging time period; for the allowed charging time period, the allowed charging power is equal to the difference between the maximum demand power and the average load power of the allowed charging time period; for the allowed discharging time period, the allowed discharging power is equal to the average load power of the allowed discharging time period.

[0040] Specifically, the server obtains the time-of-use electricity price information in the area where the target industrial and commercial users are located. Time-of-use electricity prices usually adopt the method of time period and voltage level to differentiate the pricing of electricity usage time and electricity consumption, guide users to optimize electricity usage behavior, and improve the efficiency of power grid operation. The server divides each preset time period into an allowed charging period and an allowed discharging period. Generally, the low-peak and normal time periods with lower electricity prices are suitable for arranging energy storage charging, and the peak and peak periods with higher electricity prices are suitable for arranging energy storage discharging. For the allowed charging period, the server calculates the allowed charging power. The upper limit of the allowable charging power is the difference between the maximum demand power and the average load power in the period, that is: allowed charging power = maximum demand power - average load power; For example, assuming that the maximum demand power of the park user from 0 to 6 o'clock is 500kW and the average load power is 300kW, the allowed charging power during this period is: allowed charging power = 500kW-300kW = 200kW; this means that during the period from 0 to 6 o'clock, the user's energy storage system can be charged at a maximum power of 200kW without exceeding its maximum demand power. For the allowed discharge period, the server directly uses its average load power as the allowed discharge power, that is: allowed discharge power = average load power; this is because the energy storage system supplies power to the user during discharge, which can equivalently reduce the user's demand power for the power grid. When the discharge power of the energy storage system is equal to the user's load, it is equivalent to the user achieving "zero power purchase" during this period.

[0041] Step S104: Calculate the allowable energy storage power corresponding to each of the preset time periods according to the allowable charging power and the allowable discharging power.

[0042] In step S104, the charge and discharge rate characteristic curve of the energy storage battery is obtained; the charge and discharge rate, the maximum charging time and the maximum discharging time corresponding to each of the preset time periods are determined according to the allowed charging power and the allowed discharging power; the allowed charging power of the allowed charging time period is multiplied by the corresponding maximum charging time to obtain the corresponding first allowed energy storage capacity; the allowed discharge power of the allowed discharging time period is multiplied by the corresponding maximum discharging time to obtain the corresponding second allowed energy storage capacity.

[0043] Specifically, the server obtains the charge and discharge rate characteristic curve of the energy storage battery. The charge and discharge rate refers to the ratio of the battery charging or discharging current to the rated capacity of the battery, usually represented by the letter C. For example, 0.5C means charging and discharging at 50% of the rated capacity of the battery, and 2C means charging and discharging at 200% of the rated capacity of the battery. At different rates, the battery's charge and discharge efficiency, life, heat generation and other characteristics will be different. Therefore, battery manufacturers usually provide a charge and discharge rate characteristic curve to describe the key performance indicators of the battery at different rates.

[0044] Next, the server determines the corresponding maximum charging time and maximum discharge time according to the allowed charging power and allowed discharge power of each preset time period for the target industrial and commercial users. Taking the allowed charging power of a preset time period as 1000kW and the rated capacity of the battery as 500kWh as an example, the charging rate for this time period is: 1000kW / 500kWh=2C; according to the above table, at a 2C rate, the maximum charging time of the battery is 0.5h, or 30 minutes. Therefore, the maximum amount of electricity that can be charged in this period under full load charging is: 1000kW×0.5h=500kWh, which is the first allowable energy storage capacity for this preset time period. Similarly, the server can calculate the first allowable energy storage capacity for each allowable charging period, and the second allowable energy storage capacity for each allowable discharge period.

[0045] Step S105: sorting the allowed energy storage capacities from small to large to obtain a sorting result.

[0046] In step S105, the first allowed energy storage capacity of each allowed charging period and the second allowed energy storage capacity of each allowed discharging period are summarized to obtain the allowed energy storage capacity of each preset period; the allowed energy storage capacity of each preset period is arranged in ascending order according to the numerical value to obtain the sorting result.

[0047] Specifically, the server needs to summarize the first allowed energy storage capacity of each allowed charging period and the second allowed energy storage capacity of each allowed discharging period to obtain a complete allowed energy storage capacity sequence. Taking a commercial user as an example, assume that its day is divided into 24 periods, where the allowed charging period and allowed discharging period are: allowed charging period: [00:00, 01:00, 02:00, 03:00, 04:00, 05:00, 12:00, 13:00, 14:00, 15:00, 16:00]; allowed discharging period: [06:00, 07:00, 08:00, 09:00, 10:00, 11:00, 17:00, 18:00, 19:00, 20:00, 21:00, 22:00, 23:00]; The server merges the above two sequences in the order of time periods to obtain a complete allowed energy storage power sequence. Next, the server arranges the above sequence in ascending order according to the numerical value of the allowed energy storage power to obtain a sorting result.

[0048] Step S106: From the sorting results, a preset number of allowed energy storage capacities are eliminated in ascending order to obtain a plurality of target energy storage capacities.

[0049] Before step S106, the method further includes: obtaining the minimum guaranteed income days requirement of the target industrial and commercial users; and determining the preset number according to the minimum guaranteed income days requirement.

[0050] Specifically, based on the minimum guaranteed profit days requirement proposed by the user or investor, the minimum value of the minimum guaranteed profit days is eliminated from the sorted allowed energy storage power. For example, if the minimum guaranteed profit requirement is 20 days, the first 20 minimum energy storage power values ​​after sorting are eliminated. The server determines the preset number to be eliminated, and the preset number is equal to the minimum guaranteed profit days. Finally, from the sorted target energy storage power, the first N smallest target energy storage powers are eliminated, where N is equal to the minimum guaranteed profit days, that is, the preset number.

[0051] Step S107: determining the minimum energy storage capacity corresponding to each of the preset time periods from the multiple target energy storage capacities.

[0052] In step S107, the target energy storage capacities of each of the preset time periods are sorted from small to large, and the first target energy storage capacities are used as the minimum energy storage capacities corresponding to each of the preset time periods.

[0053] Specifically, the server aggregates all target energy storage quantities obtained in step S106 to form a target energy storage quantity set. The server uses the first value in the sorted target energy storage quantity sequence, i.e., the minimum value, as the minimum energy storage quantity corresponding to each preset time period. Minimum energy storage quantity identifier If the installed capacity of the energy storage system reaches the minimum energy storage quantity, then under the various different preset quantities and guaranteed profit days considered, it can meet the user's allowable energy storage needs in most time periods and achieve their basic profit expectations.

[0054] Step S108: Calculate the corresponding energy storage installed capacity according to the minimum energy storage power, and sort the energy storage installed capacities to obtain the maximum energy storage installed capacity.

[0055] In step S108, the server first accumulates the minimum energy storage capacity of each allowed charging period and allowed discharging period obtained in step S107, and obtains the total minimum energy storage capacity remaining in the allowed charging period and the total minimum energy storage capacity remaining in the allowed discharging period. The server obtains the rated capacity parameters of the battery unit to be used, including unit capacity, charging time and discharging time. For example, if a lithium iron phosphate battery with a single cell capacity of 200Ah, a rated voltage of 3.2V, a charging time of 3 hours and a discharging time of 2 hours is used, its unit capacity is: 200Ah×3.2V=640Wh=0.64kWh; The server divides the total minimum energy storage power remaining in the charging period by the charging time per battery unit capacity to obtain the equivalent energy storage installed capacity corresponding to the charging period, that is, energy storage installed capacity during the charging period = total minimum energy storage power during the charging period / (battery unit capacity × charging time); for example, if the total minimum energy storage power during the charging period is 400kWh, the corresponding energy storage installed capacity is: energy storage installed capacity during the charging period = 400kWh / (0.64kWh × 3h) = 208.33kW; The server divides the total minimum energy storage capacity remaining in the discharge period by the discharge time of the battery unit capacity to obtain the equivalent energy storage installed capacity corresponding to the discharge period, that is: energy storage installed capacity in the discharge period = total minimum energy storage capacity in the discharge period / (battery unit capacity×discharge time); for example, if the total minimum energy storage capacity in the discharge period is 500kWh, the corresponding energy storage installed capacity is: energy storage installed capacity in the discharge period = 500kWh / (0.64kWh×2h)=390.63kW; the server compares the energy storage installed capacity in the charging period and the energy storage installed capacity in the discharge period, and takes the larger value as the final maximum energy storage installed capacity.

[0056] Step S109: using the maximum energy storage installed capacity as the target energy storage installed capacity recommended to the target industrial and commercial users.

[0057] In step S109, the server uses the maximum energy storage installed capacity obtained in step S108 as the target energy storage installed capacity recommended to the target industrial and commercial users.

[0058] Reference Figure 2The present application also provides an industrial and commercial energy storage installed capacity prediction device, which is a server, and the server includes an acquisition module 201 and a processing module 202, wherein: the acquisition module 201 is used to obtain the active load data of the target industrial and commercial users in the preset historical period; the processing module 202 is used to calculate the average load power of each preset period according to the active load data; the processing module 202 is also used to obtain the allowed charging power and the allowed discharging power of each preset period according to the average load power based on the preset charging and discharging rules; the processing module 202 is also used to calculate the allowed energy storage power corresponding to each preset period according to the allowed charging power and the allowed discharging power; the processing module 202 The processing module 202 is further used to sort the allowable energy storage quantities from small to large to obtain a sorting result; the processing module 202 is further used to eliminate a preset number of allowable energy storage quantities from the sorting result in order from small to large to obtain multiple target energy storage quantities; the processing module 202 is further used to determine the minimum energy storage quantity corresponding to each preset time period from the multiple target energy storage quantities; the processing module 202 is further used to calculate the corresponding energy storage installed capacity according to the minimum energy storage quantity, and sort the energy storage installed capacities to obtain the maximum energy storage installed capacity; the processing module 202 is further used to use the maximum energy storage installed capacity as the target energy storage installed capacity recommended to the target industrial and commercial users.

[0059] In a possible implementation, the processing module 202 obtains the allowed charging power and the allowed discharging power for each of the preset time periods based on the preset charging and discharging rules and the average load power, specifically including: the acquisition module 201 obtains the time-of-use electricity price in the area where the target industrial and commercial users are located; the processing module 202 divides each of the preset time periods into an allowed charging time period and an allowed discharging time period according to the time-of-use electricity price; the processing module 202 allows the charging power to be equal to the difference between the maximum demand power and the average load power of the allowed charging time period for the allowed charging time period; the processing module 202 allows the discharge power to be equal to the average load power of the allowed discharge time period for the allowed discharge time period.

[0060] In a possible implementation, the processing module 202 calculates the allowable energy storage capacity corresponding to each of the preset time periods according to the allowable charging power and the allowable discharging power, specifically including: the acquisition module 201 acquires the charge and discharge rate characteristic curve of the energy storage battery; the processing module 202 determines the maximum charging duration and the maximum discharging duration corresponding to each of the preset time periods according to the charge and discharge rate characteristic curve; the processing module 202 multiplies the allowable charging power of the allowable charging time period by the corresponding maximum charging duration to obtain the corresponding first allowable energy storage capacity; the processing module 202 multiplies the allowable discharge power of the allowable discharge time period by the corresponding maximum discharge duration to obtain the corresponding second allowable energy storage capacity.

[0061] In a possible implementation, the processing module 202 sorts the allowable energy storage capacities from small to large to obtain a sorting result, which specifically includes: the processing module 202 summarizes the first allowable energy storage capacities of each allowable charging time period and the second allowable energy storage capacities of each allowable discharging time period to obtain the allowable energy storage capacities of each preset time period; the processing module 202 arranges the allowable energy storage capacities of each preset time period in ascending order according to numerical values ​​to obtain the sorting result.

[0062] In a possible implementation, before the processing module 202 eliminates a preset number of allowed energy storage powers from the sorting results in ascending order to obtain multiple target energy storage powers, the method further includes: the acquisition module 201 acquires the minimum profit days requirement of the target industrial and commercial users; the processing module 202 determines the preset number according to the minimum profit days requirement.

[0063] In a possible implementation, the processing module 202 determines the minimum energy storage capacity corresponding to each preset time period from multiple target energy storage capacities, specifically including: the processing module 202 sorts the target energy storage capacities of each preset time period from small to large, and uses the first target energy storage capacity as the minimum energy storage capacity corresponding to each preset time period.

[0064] In a possible implementation, after the acquisition module 201 acquires the active load data of the target industrial and commercial user in a preset historical period, the method further includes: the acquisition module 201 acquires the electricity bill verification link of the target industrial and commercial user; and determines the maximum demand power of the target industrial and commercial user based on the electricity bill verification link.

[0065] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0066] The present application also provides an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0067] The communication bus 302 is used to realize the connection and communication between these components.

[0068] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0069] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0070] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0071] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a method for predicting installed capacity of industrial and commercial energy storage.

[0072] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the application program stored in the memory 305 for a method for predicting the installed capacity of industrial and commercial energy storage. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0073] The present application also provides a computer-readable storage medium, which stores instructions. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments.

[0074] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0076] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0078] 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 memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0079] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0080] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for predicting installed capacity of industrial and commercial energy storage, characterized in that: The method comprises: Obtain active load data of target industrial and commercial users in a preset historical period; Calculating the average load power of each preset time period according to the active load data; Based on the preset charging and discharging rules, according to the average load power, the allowed charging power and the allowed discharging power in each of the preset time periods are obtained; Calculating the allowed energy storage power corresponding to each of the preset time periods according to the allowed charging power and the allowed discharging power; Sort the allowed energy storage capacities from small to large to obtain a sorting result; From the sorting results, a preset number of allowed energy storage capacities are eliminated in ascending order to obtain a plurality of target energy storage capacities; Determining the minimum energy storage capacity corresponding to each of the preset time periods from the multiple target energy storage capacities; According to the minimum energy storage capacity, the corresponding energy storage installed capacity is calculated, and the energy storage installed capacities are sorted to obtain the maximum energy storage installed capacity; The maximum energy storage installed capacity is used as the target energy storage installed capacity recommended to the target industrial and commercial users.

2. The method according to claim 1, characterized in that The obtaining of the allowable charging power and the allowable discharging power in each of the preset time periods based on the preset charging and discharging rules and the average load power specifically includes: Obtaining the time-of-use electricity price in the area where the target industrial and commercial user is located; According to the time-of-use electricity price, each of the preset time periods is divided into a charging allowed time period and a discharging allowed time period; For the allowed charging period, the allowed charging power is equal to the difference between the maximum demand power and the average load power in the allowed charging period; For the discharge-allowed period, the discharge-allowed power is equal to the average load power of the discharge-allowed period.

3. The method according to claim 1, characterized in that The calculating, according to the allowed charging power and the allowed discharging power, the allowed energy storage power corresponding to each of the preset time periods specifically includes: Obtain the charge and discharge rate characteristic curve of the energy storage battery; Determining the maximum charging time and the maximum discharging time corresponding to each of the preset time periods according to the charge and discharge rate characteristic curve; Multiplying the allowed charging power of the allowed charging period by the corresponding maximum charging duration to obtain a corresponding first allowed energy storage capacity; The allowed discharge power of the allowed discharge time period is multiplied by the corresponding maximum discharge duration to obtain the corresponding second allowed energy storage capacity.

4. The method according to claim 3, characterized in that The step of sorting the allowed energy storage capacities from small to large to obtain a sorting result specifically includes: Summarize the first allowed energy storage capacity of each allowed charging period and the second allowed energy storage capacity of each allowed discharging period to obtain the allowed energy storage capacity of each preset period; The allowed energy storage power in each preset time period is arranged in ascending order according to the numerical value to obtain the sorting result.

5. The method according to claim 1, characterized in that: Before eliminating a preset number of allowed energy storage capacities from the sorting results in ascending order to obtain a plurality of target energy storage capacities, the method further includes: Obtain the minimum income days required by target industrial and commercial users; The preset quantity is determined based on the minimum guaranteed income days requirement.

6. The method according to claim 1, characterized in that The determining of the minimum energy storage capacity corresponding to each of the preset time periods from the multiple target energy storage capacities specifically includes: The target energy storage capacities of each of the preset time periods are sorted from small to large, and the first target energy storage capacities are used as the minimum energy storage capacities corresponding to each of the preset time periods.

7. The method according to claim 1, characterized in that After obtaining the active load data of the target industrial and commercial users in a preset historical period, the method further includes: Obtain the electricity bill verification slip of the target industrial and commercial user; According to the electricity fee verification link, the maximum demand power of the target industrial and commercial user is determined.

8. An industrial and commercial energy storage installed capacity prediction device, characterized in that: The device comprises an acquisition module (201) and a processing module (202), wherein: The acquisition module (201) is used to acquire active load data of target industrial and commercial users in a preset historical period; The processing module (202) is used to calculate the average load power of each preset time period according to the active load data; The processing module (202) is further used to obtain the allowed charging power and the allowed discharging power in each of the preset time periods based on the preset charging and discharging rules and the average load power; The processing module (202) is further configured to calculate the allowable energy storage power corresponding to each of the preset time periods according to the allowable charging power and the allowable discharging power; The processing module (202) is further used to sort the allowed energy storage capacities from small to large to obtain a sorting result; The processing module (202) is further configured to remove a preset number of allowed energy storage capacities from the sorting results in ascending order to obtain a plurality of target energy storage capacities; The processing module (202) is further used to determine the minimum energy storage capacity corresponding to each of the preset time periods from the multiple target energy storage capacities; The processing module (202) is further used to calculate the corresponding energy storage installed capacity according to the minimum energy storage power, and sort the various energy storage installed capacities to obtain the maximum energy storage installed capacity; The processing module (202) is further configured to use the maximum energy storage installed capacity as a target energy storage installed capacity recommended to the target industrial and commercial user.

9. An electronic device, characterized in that: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), wherein the memory (305) is used to store instructions, the user interface (303) and the network interface (304) are used to communicate with other devices, and the processor (301) is used to execute the instructions stored in the memory (305) so that the electronic device (300) executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

Images