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

Abstract

A kind of commercial and industrial energy storage installed capacity prediction method, device and electronic equipment, involve microgrid field.In the method, according to active load data, the average load power of each preset period is calculated;Based on the preset charge-discharge rule, according to the average load power, the allowed charging power and the allowed discharging power of each preset period are obtained;The allowed energy storage power corresponding to each preset period is calculated;Each allowed energy storage power is sorted from small to large to obtain the sorting result;From a plurality of target energy storage power, the minimum energy storage power corresponding to each preset period is determined;According to the minimum energy storage power, the corresponding energy storage installed capacity is calculated, and each energy storage installed capacity is 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 commercial and industrial user.The technical solution provided in the present application can more accurately estimate the target energy storage installed capacity allowed in each preset period.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of microgrids, in particular to a method and device for predicting industrial and commercial energy storage installed capacity and an electronic device. BACKGROUND

[0002] With the transformation of global energy structure and the widespread application 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, i.e. the maximum amount of electricity that an energy storage system can store or release within a certain period of time, is the cornerstone of ensuring that the system can meet fluctuations in power demand.

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

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

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

[0006] In a first aspect of the present application, a method for predicting industrial and commercial energy storage installed capacity is provided, which comprises: 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; based on a preset charging and discharging rule, obtaining the allowed charging power and the allowed discharging power of each preset period according to the average load power; calculating the allowed energy storage capacity corresponding to each preset period according to the allowed charging power and the allowed discharging power; sorting each allowed energy storage capacity from small to large to obtain a sorting result; from the sorting result, removing a preset number of allowed energy storage capacities in order from small to large to obtain a plurality of target energy storage capacities; determining the minimum energy storage capacity corresponding to each preset period from the plurality of target energy storage capacities; calculating the corresponding energy storage installed capacity according to the minimum energy storage capacity, and sorting each energy storage installed capacity to obtain the maximum energy storage installed capacity; taking 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 technical scheme, the active load data of the target industrial and commercial user in the preset historical period is acquired, the average load power of each preset period is calculated, the allowed charging power and the allowed discharging power of each preset period are obtained based on the preset charging and discharging rule, and then the allowed energy storage capacity of each preset period is calculated. Then, the allowed energy storage capacities of each preset period are sorted, and part of the smaller allowed energy storage capacities are removed to obtain a plurality of target energy storage capacities. Then, the minimum energy storage capacity of each period is determined from the plurality of target energy storage capacities, the corresponding energy storage installed capacity is calculated and sorted to obtain the maximum energy storage installed capacity, which is taken as the target energy storage installed capacity recommended to the user. The method fully utilizes the active load data of the preset period and accurately estimates the target energy storage installed capacity allowed in each preset period.

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

[0009] By adopting the technical scheme, the allowed charging period and the allowed discharging period are divided, the allowed charging power of the allowed charging period and the allowed discharging power of the allowed discharging period are obtained, and the key influencing factor of the energy storage system, i.e., the "electricity price difference", can be fully reflected. At the same time, in the allowed charging period, the allowed charging power is calculated by the difference between the maximum demand power and the average load power, which maximizes the charging of the energy storage battery under the condition of guaranteeing the electricity load and improves the utilization rate of the energy storage system. In the allowed discharging period, the allowed discharging power is directly equal to the average load power of the preset period, which can ensure that the discharging capacity of the energy storage battery in the electricity peak period is sufficient to meet the electricity demand of the user and improve the power supply reliability.

[0010] Optionally, the allowed energy storage capacity corresponding to each preset period is calculated according to the allowed charging power and the allowed discharging power, and specifically, the charge-discharge rate characteristic curve of the energy storage battery is acquired; the maximum charging time and the maximum discharging time corresponding to each preset period are determined according to the charge-discharge rate characteristic curve; the allowed charging power of the allowed charging period is multiplied by the corresponding maximum charging time to obtain the corresponding first allowed energy storage capacity; and the allowed discharging power of the allowed discharging period is multiplied by the corresponding maximum discharging time to obtain the corresponding second allowed energy storage capacity.

[0011] By adopting the technical scheme, the charge-discharge rate characteristic curve is introduced to determine the maximum charging duration and the maximum discharging duration corresponding to each preset time period, and the first allowed energy storage capacity of the allowed charging time period and the second allowed energy storage capacity of the allowed discharging time period are obtained. The allowed energy storage capacity calculation method based on the technical characteristics of the energy storage battery can fully consider the charge-discharge performance limitation of the battery itself, accurately match the allowed charging power, the allowed discharging power and the maximum allowed duration corresponding thereto, maximize the charge-discharge capacity of the energy storage battery, and realize the optimal configuration of the energy storage capacity in the time dimension under the premise of ensuring the safety of the battery and prolonging the cycle life of the battery.

[0012] Optionally, the allowed energy storage capacities are sorted from small to large to obtain a sorting result, specifically including: the first allowed energy storage capacities of the allowed charging time periods and the second allowed energy storage capacities of the allowed discharging time periods are aggregated to obtain the allowed energy storage capacities of the preset time periods; and the allowed energy storage capacities of the preset time periods are arranged in ascending order according to the numerical values to obtain the sorting result.

[0013] By adopting the technical scheme, the first allowed energy storage capacities of the allowed charging time periods and the second allowed energy storage capacities of the allowed discharging time periods are aggregated to obtain the allowed energy storage capacities of the preset time periods, and then the allowed energy storage capacities of the preset time periods are arranged in ascending order. The method can "equivalent" the allowed energy storage capacities originally scattered in different charge-discharge time periods to a continuous time axis to form a complete and continuous allowed energy storage capacity sequence.

[0014] Optionally, before the allowed energy storage capacities of the preset number are removed from the sorting result in the order from small to large to obtain the target energy storage capacities, the method further includes: obtaining the guaranteed income day requirement of the target industrial and commercial user; and determining the preset number according to the guaranteed income day requirement.

[0015] By adopting the technical scheme, the guaranteed income day requirement of the target industrial and commercial user is obtained, and then the preset number is determined according to the requirement, that is, the number of allowed energy storage capacity data is removed. The introduction of the guaranteed income day requirement can better balance the actual demand of the user and the investment income of the energy storage system. When removing outliers, considering the guaranteed income day requirement can avoid the risk that the actual income does not meet the expectation due to excessive pursuit of extreme values.

[0016] Optionally, the minimum energy storage capacity corresponding to each preset time period is determined from the target energy storage capacities, specifically including: the target energy storage capacities of each preset time period are sorted from small to large, and the target energy storage capacity ranked first is taken as the minimum energy storage capacity corresponding to each preset time period.

[0017] By adopting the technical scheme, the target energy storage electric quantity with the minimum value can be quickly found out through the sorting of the target energy storage electric quantity, and the target energy storage electric quantity is taken as the minimum energy storage electric quantity. The minimum energy storage electric quantity is taken as the minimum energy storage electric quantity of each preset time period, so that it can be ensured that the energy storage system has sufficient energy storage space in any time period.

[0018] Optionally, after obtaining the active load data of the target industrial and commercial user in the preset historical period, the method further comprises: obtaining the electricity checking sheet of the target industrial and commercial user; and determining the maximum demand power of the target industrial and commercial user according to the electricity checking sheet.

[0019] By adopting the technical scheme, after obtaining the historical load data of the target user, the maximum demand power of the user is determined according to the electricity checking sheet and the information of the checking sheet. The introduction of the electricity checking sheet data can more accurately master the actual power consumption of the user.

[0020] In a second aspect of the present application, an industrial and commercial energy storage installed capacity prediction device is provided, which comprises an acquisition module and a processing module, wherein: the acquisition module is configured to obtain active load data of a target industrial and commercial user in a preset historical period; the processing module is configured to calculate average load power of each preset time period according to the active load data; the processing module is further configured to obtain allowed charging power and allowed discharging power of each preset time period according to the average load power based on a preset charging and discharging rule; the processing module is further configured to calculate allowed energy storage electric quantity corresponding to each preset time period according to the allowed charging power and the allowed discharging power; the processing module is further configured to sort each allowed energy storage electric quantity from small to large to obtain a sorting result; the processing module is further configured to remove a preset number of allowed energy storage electric quantities from the sorting result in order from small to large to obtain a plurality of target energy storage electric quantities; the processing module is further configured to determine minimum energy storage electric quantity corresponding to each preset time period from the plurality of target energy storage electric quantities; the processing module is further configured to calculate corresponding energy storage installed capacity according to the minimum energy storage electric quantity, and sort each energy storage installed capacity to obtain a maximum energy storage installed capacity; and the processing module is further configured to take the maximum energy storage installed capacity as a target energy storage installed capacity recommended to the target industrial and commercial user.

[0021] In a third aspect of the present application, an electronic device is provided, which comprises a processor, a memory, a user interface and a network interface, the memory is configured to store instructions, the user interface and the network interface are configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to enable the electronic device to perform the method according to any one of the above aspects.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided, which stores instructions that, when executed, perform the method of any of the above.

[0023] In summary, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0024] 1. By obtaining the active load data of the target industrial and commercial user in the preset historical period, the average load power of each preset period is calculated, the allowed charging power and the allowed discharging power of each preset period are obtained based on the preset charging and discharging rule, and then the allowed energy storage capacity of each preset period is calculated. Then, the allowed energy storage capacity of each preset period is sorted, and part of the smaller allowed energy storage capacity is removed to obtain multiple target energy storage capacities. Then, the minimum energy storage capacity of each period is determined from the multiple target energy storage capacities, the corresponding energy storage installed capacity is calculated and sorted to obtain the maximum energy storage installed capacity, which is recommended to the user as the target energy storage installed capacity. 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 in each preset period.

[0025] 2. The preset period is divided into an allowed charging period and an allowed discharging period, and the allowed charging power of the allowed charging period and the allowed discharging power of the allowed discharging period are obtained, which can fully reflect the "price difference", which is a key influencing factor for the profit of the energy storage system. At the same time, in the allowed charging period, the allowed charging power is calculated by the difference between the maximum demand power and the average load power, which maximizes the charging of the energy storage battery under the condition of ensuring the electricity load, and improves the utilization rate of the energy storage system. In the allowed discharging period, the allowed discharging power is directly equal to the average load power of the preset period, which can ensure that the discharging capacity of the energy storage battery in the electricity peak period is sufficient to meet the electricity demand of the user, and improve the power supply reliability.

[0026] 3. The charging and discharging rate characteristic curve is introduced to determine the maximum charging time and the maximum discharging time corresponding to each preset period, and the first allowed energy storage capacity of the allowed charging period and the second allowed energy storage capacity of the allowed discharging period are obtained. This allowed energy storage capacity calculation method based on the technical characteristics of the energy storage battery can fully consider the performance limitations of the battery itself, and by accurately matching the allowed charging power, the allowed discharging power and the corresponding maximum allowed duration, the charging and discharging capacity of the energy storage battery can be maximized under the premise of ensuring the safety of the battery and prolonging the cycle life of the battery, and the optimization configuration of the energy storage capacity in the time dimension can be realized. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a flowchart of a method for predicting the energy storage installed capacity of industrial and commercial users disclosed in the embodiments of the present application;

[0028] Figure 2 is a module schematic diagram of a commercial and industrial energy storage installed capacity prediction device disclosed by an embodiment of the present application.

[0029] Figure 3 is a structural schematic diagram of an electronic device disclosed by an embodiment of the present application.

[0030] The label explanation: 201, acquisition module; 202, processing module; 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0031] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the embodiments of the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all.

[0032] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent examples, illustrations or descriptions. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concepts in a specific manner.

[0033] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for description purposes only and should not be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features limited by "first" and "second" can explicitly or implicitly include one or more features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0034] The present application provides a commercial and industrial energy storage installed capacity prediction method, referring to Figure 1 , Figure 1 is a flowchart of a commercial and industrial energy storage installed capacity prediction method provided by an embodiment of the present application. The method is applied to a server, which is a server for executing a commercial and industrial energy storage installed capacity prediction program. The server can be a 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:

[0035] Step S101: Obtain the active power load data of the target industrial and commercial users in the preset historical time period.

[0036] In step S101, the server establishes a communication connection with the electricity information collection system of the target industrial and commercial user. The electricity information collection system consists of smart meters, electricity information collection terminals, and other equipment installed at the user's electricity consumption site. It can record the user's electricity consumption data in real time, including parameters such as active power, reactive power, voltage, and current.

[0037] The server sends a data request instruction to the electricity 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 most recent year, the most recent three years, etc.). After receiving the request instruction, the electricity information collection system queries the database for the active power load data of the user within the preset historical period, and packages the data into a specific format (such as JSON, XML, etc.) and returns it to the server.

[0038] After step S101, the method further includes: obtaining the electricity bill verification form of the target industrial and commercial user; and determining the maximum power demand of the target industrial and commercial user based on the electricity bill verification form.

[0039] Specifically, after acquiring the historical active load data of the target industrial and commercial users, the server also obtains the electricity bill verification data of the target industrial and commercial users to determine their maximum demand power. The electricity bill verification data is the basis for electricity billing provided by the power supply company to users, recording key information such as the user's electricity consumption, maximum demand, and electricity bill amount within a billing cycle. The server periodically obtains the electricity bill verification data of the target industrial and commercial users by connecting with the power supply company's billing system, and determines the maximum demand power based on the electricity bill verification data.

[0040] Step S102: Calculate the average load power for each preset time period based on the active load data.

[0041] In step S102, the server determines the preset time period division method. Based on the time granularity of the active power load data, the server divides a day into several equal-length time periods, such as 24 one-hour time periods, 48 ​​thirty-minute time periods, and 96 fifteen-minute time periods. The finer the granularity of the time period division, the more refined the resulting average load power curve. The server can select an appropriate time period division method based on specific application scenarios and computing resource conditions; this application does not impose any limitations on this. The server extracts the active power load data of the target industrial and commercial users within a preset historical time period (such as the most recent year), forming a time series. It then groups the time series by date and hour and calculates the average active power for each preset time period.

[0042] Step S103: Based on the preset charging and discharging rules, the allowed charging power and the allowed discharging power of each preset time period are obtained according to the average load power.

[0043] In step S103, the time-of-use electricity price of the region where the target industrial and commercial user is located is obtained; each preset time period is divided into an allowed charging time period and an allowed discharging time period according to the time-of-use electricity price; for the allowed charging time period, the allowed charging power is equal to the difference between the maximum demand power of the allowed charging time period and the average load power; for the allowed discharging time period, the allowed discharging power is equal to the average load power of the allowed discharging time period.

[0044] Specifically, the server obtains the time-of-use electricity price information of the region where the target industrial and commercial user is located. The time-of-use electricity price usually adopts a time-of-use and voltage level manner to differentiate the electricity consumption time and quantity, guide users to optimize electricity consumption behavior, and improve the efficiency of power grid operation. The server divides each preset time period into an allowed charging time period and an allowed discharging time period. Generally, the low valley and flat time periods with lower electricity prices are suitable for arranging energy storage charging, and the peak and peak time periods with higher electricity prices are suitable for arranging energy storage discharging. For the allowed charging time period, the server calculates the allowed charging power. The upper limit of the allowed charging power is the difference between the maximum demand power and the average load power of the time period, that is: allowed charging power = maximum demand power - average load power;

[0045] For example, assuming that the maximum demand power of the park user from 0 to 6 is 500kW, and the average load power is 300kW, the allowed charging power of the time period is: allowed charging power = 500kW-300kW = 200kW; This means that in the 0-6 time period, the energy storage system of the user can charge at most 200kW of power without exceeding its maximum demand power. For the allowed discharging time period, the server directly takes its average load power as the allowed discharging power, that is: allowed discharging power = average load power; This is because the energy storage system supplies power to the user when discharging, which can be equivalent to reducing the user's demand power for the grid. When the discharging power of the energy storage system is equal to the user's load, it is equivalent to the user achieving "zero electricity purchase" in the time period.

[0046] Step S104: According to the allowed charging power and the allowed discharging power, the allowed energy storage power corresponding to each preset time period is calculated.

[0047] In step S104, the charge-discharge rate characteristic curve of the energy storage battery is acquired; the charge-discharge rate, the maximum charging time length and the maximum discharging time length corresponding to each preset time period 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 length to obtain the corresponding first allowed energy storage amount; and the allowed discharging power of the allowed discharging time period is multiplied by the corresponding maximum discharging time length to obtain the corresponding second allowed energy storage amount.

[0048] Specifically, the server acquires the charge-discharge rate characteristic curve of the energy storage battery. The charge-discharge rate refers to the ratio of the battery charging or discharging current to the rated capacity of the battery, and is usually represented by the letter C. For example, 0.5C means charging or discharging at 50% of the rated capacity of the battery, and 2C means charging or discharging at 200% of the rated capacity of the battery. At different rates, the charging and discharging efficiency, service life, heat generation and other characteristics of the battery will be different. Therefore, the battery manufacturer usually provides a charge-discharge rate characteristic curve to describe the key performance indicators of the battery at different rates.

[0049] Then, the server determines the corresponding maximum charging time length and maximum discharging time length according to the allowed charging power and the allowed discharging power of each preset time period of the target industrial and commercial user. Taking the allowed charging power of a certain preset time period as 1000kW and the rated capacity of the battery as 500kWh as an example, the charging rate of this time period is: 1000kW / 500kWh=2C; according to the above table, the maximum charging time length of the battery at 2C rate is 0.5h, i.e. 30 minutes. Therefore, in the case of full load charging, the maximum amount of electricity that can be charged into this time period is: 1000kWx0.5h=500kWh, i.e. the first allowed energy storage amount of this preset time period. Similarly, the server can calculate the first allowed energy storage amount of each allowed charging time period and the second allowed energy storage amount of each allowed discharging time period.

[0050] Step S105: sorting each allowed energy storage amount from small to large to obtain a sorting result.

[0051] In step S105, the first allowed energy storage amount of each allowed charging time period and the second allowed energy storage amount of each allowed discharging time period are summarized to obtain the allowed energy storage amount of each preset time period; and the allowed energy storage amounts of the preset time periods are arranged in ascending order according to the numerical value to obtain the sorting result.

[0052] Specifically, the server needs to aggregate the first allowed energy storage amount of each allowed charging period and the second allowed energy storage amount of each allowed discharging period to obtain a complete allowed energy storage amount sequence. Taking a certain industrial and commercial user as an example, assuming that the user's day is divided into 24 periods, wherein the allowed charging periods and the allowed discharging periods are as follows: allowed charging periods: [00:00, 01:00, 02:00, 03:00, 04:00, 05:00, 12:00, 13:00, 14:00, 15:00, 16:00]; allowed discharging periods: [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];

[0053] The server combines the above two sequences in chronological order to obtain a complete allowed energy storage amount sequence. Next, the server sorts the above sequence in ascending order according to the numerical value of the allowed energy storage amount to obtain a sorting result.

[0054] Step S106: From the sorting result, a preset number of allowed energy storage amounts are removed in ascending order to obtain a plurality of target energy storage amounts.

[0055] Before step S106, the method further includes: obtaining a guaranteed income day requirement of the target industrial and commercial user; and determining the preset number according to the guaranteed income day requirement.

[0056] Specifically, based on the guaranteed income day requirement proposed by the user or the investor, the minimum value of the number equal to the guaranteed income day is removed from the sorted allowed energy storage amount. For example, if the guaranteed income requirement is 20 days, the first 20 minimum energy storage amount values in the sorted sequence are removed. The server determines the preset number to be removed, and the preset number is equal to the guaranteed income day. Finally, the first N minimum target energy storage amounts are removed from the sorted target energy storage amounts, wherein N is equal to the guaranteed income day, i.e., the preset number.

[0057] Step S107: determining the minimum energy storage amount corresponding to each of the preset periods from the plurality of target energy storage amounts.

[0058] In step S107, the target energy storage amounts of each of the preset periods are sorted in ascending order, and the target energy storage amount ranked first is taken as the minimum energy storage amount corresponding to each of the preset periods.

[0059] Specifically, the server aggregates all the target energy storage capacities obtained in step S106 to form a target energy storage capacity set. The server takes the first value in the sorted target energy storage capacity sequence, i.e., the minimum value, as the minimum energy storage capacity corresponding to each preset period. The minimum energy storage capacity indicates that if the installed capacity of the energy storage system reaches the minimum energy storage capacity, the user's allowed energy storage demand in most periods can be met under different preset quantity and guaranteed income day requirements, and the basic income expectation can be achieved.

[0060] Step S108: According to the minimum energy storage capacity, the corresponding energy storage installed capacity is calculated, and each energy storage installed capacity is sorted to obtain the maximum energy storage installed capacity.

[0061] In step S108, the server first accumulates the minimum energy storage capacities of the allowed charging period and the allowed discharging period respectively according to the minimum energy storage capacities of the allowed charging period and the allowed discharging period obtained in step S107 to obtain the minimum energy storage capacity sum remaining in the allowed charging period and the minimum energy storage capacity sum remaining in the allowed discharging period. The server obtains the rated capacity parameters of the battery unit to be used, including the unit capacity, the charging time and the discharging time. For example, if a single capacity of 200 Ah, a rated voltage of 3.2 V, a charging time of 3 hours and a discharging time of 2 hours are used for a lithium iron phosphate battery, the unit capacity is 200 Ah x 3.2 V = 640 Wh = 0.64 kWh;

[0062] The server divides the minimum energy storage capacity sum remaining in the allowed charging period by the charging time of the unit capacity of the battery to obtain the equivalent energy storage installed capacity corresponding to the charging period, i.e., charging period energy storage installed capacity = minimum energy storage capacity sum in charging period / (unit capacity of battery x charging time). For example, if the minimum energy storage capacity sum in the charging period is 400 kWh, the corresponding energy storage installed capacity is charging period energy storage installed capacity = 400 kWh / (0.64 kWh x 3 h) = 208.33 kW;

[0063] The server divides the minimum energy storage capacity sum remaining in the discharging period by the discharging time of the unit capacity of the battery to obtain the equivalent energy storage installed capacity corresponding to the discharging period, i.e., discharging period energy storage installed capacity = minimum energy storage capacity sum in discharging period / (unit capacity of battery x discharging time). For example, if the minimum energy storage capacity sum in the discharging period is 500 kWh, the corresponding energy storage installed capacity is discharging period energy storage installed capacity = 500 kWh / (0.64 kWh x 2 h) = 390.63 kW. The server compares the charging period energy storage installed capacity and the discharging period energy storage installed capacity, and takes the larger one as the final maximum energy storage installed capacity.

[0064] Step S109: taking the maximum energy storage installed capacity as a target energy storage installed capacity recommended to the target industrial and commercial user.

[0065] In step S109, the server takes the maximum energy storage installed capacity obtained in step S108 as a target energy storage installed capacity recommended to the target industrial and commercial user.

[0066] With reference to Figure 2 The application also provides an industrial and commercial energy storage installed capacity prediction device, which is a server and comprises an acquisition module 201 and a processing module 202, wherein: the acquisition module 201 is configured to acquire active load data of a target industrial and commercial user in a preset historical period; the processing module 202 is configured to calculate average load power in each preset period according to the active load data; the processing module 202 is further configured to obtain allowed charging power and allowed discharging power in each preset period according to the average load power based on a preset charging and discharging rule; the processing module 202 is further configured to calculate allowed energy storage power corresponding to each preset period according to the allowed charging power and the allowed discharging power; the processing module 202 is further configured to sort each allowed energy storage power 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 powers in order from small to large from the sorting result to obtain a plurality of target energy storage powers; the processing module 202 is further configured to determine minimum energy storage power corresponding to each preset period from the plurality of target energy storage powers; the processing module 202 is further configured to calculate corresponding energy storage installed capacity according to the minimum energy storage power, and sort each energy storage installed capacity to obtain a maximum energy storage installed capacity; and the processing module 202 is further configured to take the maximum energy storage installed capacity as a target energy storage installed capacity recommended to the target industrial and commercial user.

[0067] In a possible implementation, the processing module 202 obtains allowed charging power and allowed discharging power in each preset period according to the average load power based on a preset charging and discharging rule, specifically including: the acquisition module 201 acquires time-of-use electricity price of an area where the target industrial and commercial user is located; the processing module 202 divides each preset period into an allowed charging period and an allowed discharging period according to the time-of-use electricity price; for the allowed charging period, the allowed charging power is equal to the difference between the maximum demand power of the allowed charging period and the average load power; and for the allowed discharging period, the allowed discharging power is equal to the average load power of the allowed discharging period.

[0068] In a possible implementation, the processing module 202 calculates the allowed energy storage power corresponding to each preset time period according to the allowed charging power and the allowed discharging power, specifically comprising: the acquisition module 201 acquires the charge-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 preset time period according to the charge-discharge rate characteristic curve; the processing module 202 multiplies the allowed charging power of the allowed charging period by the corresponding maximum charging duration to obtain the corresponding first allowed energy storage power; the processing module 202 multiplies the allowed discharging power of the allowed discharging period by the corresponding maximum discharging duration to obtain the corresponding second allowed energy storage power.

[0069] In a possible implementation, the processing module 202 sorts each of the allowed energy storage powers from small to large to obtain a sorting result, specifically comprising: the processing module 202 aggregates the first allowed energy storage power of each allowed charging period and the second allowed energy storage power of each allowed discharging period to obtain the allowed energy storage power of each preset time period; the processing module 202 sorts the allowed energy storage powers of each preset time period in ascending order according to the numerical value to obtain the sorting result.

[0070] In a possible implementation, before the processing module 202 removes a preset number of allowed energy storage powers from the sorting result in order from small to large to obtain a plurality of target energy storage powers, the method further comprises: the acquisition module 201 acquires the guaranteed income day requirement of the target industrial and commercial user; the processing module 202 determines the preset number according to the guaranteed income day requirement.

[0071] In a possible implementation, the processing module 202 determines the minimum energy storage power corresponding to each preset time period from a plurality of target energy storage powers, specifically comprising: the processing module 202 sorts each of the target energy storage powers of each preset time period from small to large, and takes the target energy storage power ranked first as the minimum energy storage power corresponding to each preset time period.

[0072] In a possible implementation, after the acquisition module 201 acquires the active load data of the target industrial and commercial user in the preset historical time period, the method further comprises: the acquisition module 201 acquires the electricity fee checking sheet of the target industrial and commercial user; and determines the maximum demand power of the target industrial and commercial user according to the electricity fee checking sheet.

[0073] It should be noted that the apparatus provided in the above examples is only used as an example for the division of the above functional modules in realizing its functions, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above examples belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0074] The present application also provides an electronic device. Referring to Figure 3 , Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. The electronic device 300 can 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.

[0075] The communication bus 302 is used to realize the connection and communication between the components.

[0076] The user interface 303 can include a display screen (Display) and a camera (Camera), and the optional user interface 303 can also include a standard wired interface and a wireless interface.

[0077] The network interface 304 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0078] The processor 301 can include one or more processing cores. The processor 301 connects various parts within the server through various interfaces and lines, performs 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. Alternatively, the processor 301 can be implemented in at least one of a hardware form of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. Among them, the CPU mainly processes operating systems, user interfaces, and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; and the modem is used for processing wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0079] The memory 305 can include a random access memory (RAM) and a read-only memory (ROM). Alternatively, 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 can include a program storage area and a data storage area, wherein the program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area can store data involved in the above-mentioned various method embodiments, etc. The memory 305 can alternatively be at least one storage device located away from the aforementioned processor 301. Referring to Figure 3 The memory 305 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program of an industrial and commercial energy storage capacity prediction method.

[0080] In Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an interface for the user to input, and obtain data input by the user; and the processor 301 can be used to invoke an application program stored in the memory 305 and storing a method for predicting industrial and commercial energy storage installed capacity, which, when executed by one or more processors 301, causes the electronic device 300 to perform the method described in one or more of the above embodiments. It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a combination of a series of actions, but those skilled in the art should know that the present application is not limited to the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0081] The present application also provides a computer-readable storage medium storing instructions. When executed by one or more processors 301, the instructions cause the electronic device 300 to perform the method described in one or more of the above embodiments.

[0082] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0083] In the several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other manners. For example, the division of the units is merely a logical function division, and there can be another division manner in actual implementation, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0084] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on a plurality of network units. In actual implementation, some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments.

[0085] In addition, each functional unit in the embodiments of the present application can be integrated in a processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a software functional unit.

[0086] If the integrated unit is implemented in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on such understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a memory and includes a plurality of 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 embodiments of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0087] The above is only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the disclosure.

[0088] The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for forecasting commercial and industrial energy storage installed capacity, characterized by, The method comprises: obtaining active load data of a target industrial and commercial user in a preset historical period; calculating average load power of each preset period according to the active load data; based on a preset charging and discharging rule, obtaining allowed charging power and allowed discharging power of each preset period according to the average load power; calculating allowed energy storage capacity corresponding to each preset period according to the allowed charging power and the allowed discharging power; sorting each allowed energy storage capacity from small to large to obtain a sorting result; from the sorting result, a preset number of allowed energy storage capacities are removed in order from small to large to obtain a plurality of target energy storage capacities; determining the minimum energy storage capacity corresponding to each preset period from the plurality of target energy storage capacities; calculating the corresponding energy storage installed capacity according to the minimum energy storage capacity, and sorting each energy storage installed capacity to obtain the maximum energy storage installed capacity; the maximum energy storage installed capacity is taken as the target energy storage installed capacity recommended to the target industrial and commercial user.

2. The method of claim 1, wherein, Based on the preset charging and discharging rule, the allowed charging power and the allowed discharging power of each preset period are obtained according to the average load power, specifically including: obtaining the time-of-use electricity price of the area where the target industrial and commercial user is located; according to the time-of-use electricity price, each preset period is divided into an allowed charging period and an allowed discharging period; for the allowed charging period, the allowed charging power is equal to the difference between the maximum demand power of the allowed charging period and the average load power; for the allowed discharging period, the allowed discharging power is equal to the average load power of the allowed discharging period.

3. The method of claim 2, wherein, The allowed energy storage capacity corresponding to each preset period is calculated according to the allowed charging power and the allowed discharging power, specifically including: obtaining the charge-discharge rate characteristic curve of the energy storage battery; determining the maximum charging time and the maximum discharging time corresponding to each preset period according to the charge-discharge rate characteristic curve; multiplying the allowed charging power of the allowed charging period by the corresponding maximum charging time to obtain the corresponding first allowed energy storage capacity; multiplying the allowed discharging power of the allowed discharging period by the corresponding maximum discharging time to obtain the corresponding second allowed energy storage capacity.

4. The method of claim 3, wherein, The allowed energy storage capacities are sorted from small to large to obtain a sorting result, specifically including: 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 capacities of each preset period are arranged in ascending order according to the numerical value to obtain the sorting result.

5. The method of claim 1, wherein, Before the allowed energy storage capacities are removed from the sorting result in order from small to large to obtain a plurality of target energy storage capacities, the method further comprises: obtaining the guaranteed income day requirement of the target industrial and commercial user; determining the preset number according to the guaranteed income day requirement.

6. The method of claim 1, wherein, The minimum energy storage capacity corresponding to each preset period is determined from the plurality of target energy storage capacities, specifically including: The target energy storage capacities of each of the preset time periods are sorted from small to large, and the target energy storage capacity ranked first is taken as the minimum energy storage capacity corresponding to each of the preset time periods.

7. The method of claim 1, wherein, After the active load data of the target industrial and commercial user in the preset historical time period is obtained, the method further comprises: obtaining the electricity charge verification form of the target industrial and commercial user; determining the maximum demand power of the target industrial and commercial user according to the electricity charge verification form.

8. A device for predicting commercial energy storage installed capacity, characterized by, The device comprises an acquisition module (201) and a processing module (202), wherein: The acquisition module (201) is configured to acquire active load data of a target industrial and commercial user in a preset historical time period. The processing module (202) is configured to calculate average load power of each preset time period according to the active load data. The processing module (202) is further configured to obtain allowed charging power and allowed discharging power of each of the preset time periods according to the average load power based on a preset charging and discharging rule. The processing module (202) is further configured to calculate allowed energy storage capacity corresponding to each of the preset time periods according to the allowed charging power and the allowed discharging power. The processing module (202) is further configured to sort each of 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 in order from small to large from the sorting result to obtain a plurality of target energy storage capacities. The processing module (202) is further configured to determine minimum energy storage capacity corresponding to each of the preset time periods from the plurality of target energy storage capacities. The processing module (202) is further configured to calculate corresponding energy storage installed capacity according to the minimum energy storage capacity, and sort each of the energy storage installed capacities to obtain maximum energy storage installed capacity. The processing module (202) is further configured to take 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, comprising: The electronic device (300) comprises a processor (301), a memory (305), a user interface (303) and a network interface (304), the memory (305) is configured to store instructions, the user interface (303) and the network interface (304) are configured to communicate with other devices, and the processor (301) is configured to execute the instructions stored in the memory (305) to enable the electronic device (300) to perform the method of any one of claims 1-7.

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

Images