Industrial and commercial energy storage parameter configuration system and analysis method thereof

Abstract

The invention provides an industrial and commercial energy storage parameter configuration system and an analysis method thereof, and the system comprises a power utilization data collection module, a power utilization behavior analysis module, a benefit evaluation calculation module, and an energy storage configuration module. The power consumption data acquisition module is used for acquiring power consumption data of pre-selected industrial and commercial users in a life cycle; the power consumption behavior analysis module is used for analyzing the power consumption data to determine an energy storage charging expenditure relational expression and an energy storage discharging income relational expression of the industrial and commercial users in the life cycle; the benefit evaluation calculation module is used for determining an income evaluation relational expression of the industrial and commercial users in the life cycle based on the energy storage charging expenditure relational expression and the energy storage discharging income relational expression; and the energy storage configuration module is used for determining optimal energy storage configuration parameters of the industrial and commercial users in the life cycle based on the income evaluation relational expression. According to the invention, the problems of poor dynamic response capability and low flexibility of the existing industrial and commercial energy storage system can be solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage device design, more specifically, to a commercial and industrial energy storage parameter configuration system and an analysis method thereof. BACKGROUND

[0002] The commercial and industrial energy storage system refers to an energy storage device system equipped for commercial and industrial users such as factories, shopping malls, and data centers, mainly realizing functions such as peak load shifting and demand management. The commercial and industrial energy storage system mainly includes core components such as a battery system (PACK), an energy storage converter (PCS), a battery management system (BMS), and an energy management system (EMS).

[0003] The existing commercial and industrial energy storage system often only focuses on macro-level planning and lacks in-depth analysis of the specific electricity consumption behavior and load characteristics of commercial and industrial users. For example, patent announcement No. "CN119204841B" discloses a typical day-based energy storage capacity configuration method, system, device, and medium, wherein the method includes the following steps: obtaining an annual electricity consumption data set of an energy storage user, and performing energy storage effective utilization analysis on the annual electricity consumption data set to generate a corresponding effective day energy storage value sequence; the effective day energy storage value sequence is based on the daily basic load consumption of the energy storage user, and the effective day electricity consumption data in the annual electricity consumption data set is filtered to obtain the effective day electricity consumption data, and the difference between the peak time period electricity and the valley time period electricity in the effective day electricity consumption data is taken as the effective day energy storage value to generate the energy storage value sequence.

[0004] The energy storage capacity configuration scheme provided by the above-mentioned prior art only analyzes the historical electricity consumption data, and the historical electricity consumption data is relatively single, only considering the daily basic load consumption to obtain the energy storage capacity. This scheme does not fully consider the economic evaluation and life cycle benefit in the commercial and industrial scenario, which may lead to a mismatch between the energy storage capacity configuration and the actual demand, and it is difficult to meet the individual needs of commercial and industrial users. Moreover, the dynamic response capability and flexibility of the commercial and industrial energy storage system are not fully considered.

[0005] Based on the above technical problems, there is an urgent need for a commercial and industrial intelligent energy storage analysis system that can combine the actual electricity consumption characteristics of commercial and industrial users and comprehensively consider the economy, flexibility, and life cycle benefit. SUMMARY

[0006] In view of the above problems, the purpose of the present application is to provide a commercial and industrial energy storage parameter configuration system and an analysis method thereof to solve the problems of poor dynamic response capability and low flexibility of the existing commercial energy storage system.

[0007] The commercial and industrial energy storage parameter configuration system provided by the present application includes an electricity consumption data acquisition module, an electricity consumption behavior analysis module, an benefit evaluation calculation module, and an energy storage configuration module: wherein, The electricity consumption data collection module is configured to collect electricity consumption data of a preselected industrial and commercial user in a life cycle; The electricity consumption behavior analysis module is configured to analyze the electricity consumption data to determine a storage energy charging expenditure relationship and a storage energy discharging income relationship of the industrial and commercial user in the life cycle; The benefit evaluation calculation module is configured to determine a total benefit evaluation relationship of the industrial and commercial user in the life cycle based on the storage energy charging expenditure relationship and the storage energy discharging income relationship; The storage energy configuration module is configured to determine an optimal storage energy configuration parameter of the industrial and commercial user in the life cycle based on the benefit evaluation relationship.

[0008] In addition, the electricity consumption behavior analysis module further includes a charging capacity analysis unit and a charging expenditure analysis unit; wherein, The charging capacity analysis unit is configured to analyze the electricity consumption data to determine a total storage energy charging capacity relationship of the industrial and commercial user in the life cycle; The charging expenditure analysis unit is configured to analyze the electricity consumption data based on the total storage energy charging capacity relationship to determine a total storage energy charging expenditure relationship of the industrial and commercial user in the life cycle.

[0009] In addition, the total storage energy charging capacity relationship is E 充,总 =P 充,max ×t 谷，有效 ; wherein, t 谷,有效 is the effective charging time length of the industrial and commercial user in the life cycle, P 充,max is the maximum charging active power of the transformer of the industrial and commercial user in the life cycle; and, ; wherein, K1 is the load rate of the transformer; SN is the rated capacity of the transformer; is the power factor of the transformer; P 其他 is the maximum power in the remaining period after excluding the unchargeable period; The total storage energy charging expenditure relationship is M 充 =E 充,总 ×η 深 ×m 谷 / η 充 ; wherein, M 充 is the total storage energy charging expenditure, E 充,总 is the total storage energy charging capacity, η 深 is the storage energy discharging depth, m 谷 is the local valley electricity price, η充 For charging efficiency.

[0010] Alternatively, the electricity consumption behavior analysis module may further include a discharge capacity analysis unit and a discharge revenue analysis unit; wherein, The discharge capacity analysis unit is used to analyze the electricity consumption data to determine the relationship between the total energy storage discharge capacity of the industrial and commercial users during the life cycle. The discharge revenue analysis unit is used to analyze the electricity consumption data based on the total energy storage discharge capacity relationship to determine the total energy storage discharge revenue relationship.

[0011] Alternatively, the total energy storage and discharge capacity can be expressed as: E 放，总 = P(n) 放 ×t 放 ;in, E 放，总 For the total energy storage and discharge capacity, t 放 Let P(n) be the energy storage and discharge duration. 放 Pre-selected energy storage discharge power; Furthermore, P(n) 放 The selection is based on n, where n is the selection coefficient; where... P(n) 放 = + ;in, P (peak) max，负荷 P(peak) represents the maximum electrical load power of the industrial and commercial users during peak electricity pricing. min，负荷 This refers to the minimum electrical load power of the industrial and commercial users during peak electricity prices. ≥P(n) 放 ≥ n is an integer, and the value of n ranges from 0 to 10; The formula for the total revenue from energy storage discharge is: M 放 = ×m 峰 +E 剩余 ×m 平 ;in, M 放 For total revenue from energy storage discharge, P 判 The real-time energy storage discharge power is given by t, and the peak energy storage duration is given by m. 峰 For the agreed peak electricity price, E 剩余 m represents the remaining energy after the stored energy is discharged. 平 To negotiate a flat electricity price; Where, if P(n) 放 ≥P 负荷，实时 Then P 判 =P负荷，实时 ; If P(n) 放 <P 负荷，实时 Then, P 判 =P(n) 放 .

[0012] Alternatively, the total revenue assessment formula can be: M 总收 =M 放 -M 充 -M 投 ; Among them, M 总收 M represents the total revenue of the industrial and commercial users over the lifecycle. 放 Total revenue from energy storage discharge, M 充 M represents the total expenditure on energy storage charging. 投 This represents the total investment cost for the industrial and commercial users.

[0013] Furthermore, an optional approach is that the optimal energy storage configuration parameters include optimal energy storage discharge power, optimal energy storage duration, and optimal energy storage capacity; and the energy storage configuration module includes a pre-selected data input unit and an optimal parameter selection unit; wherein, The pre-selected data substitution unit is used to sequentially substitute each pre-selected energy storage discharge power and corresponding energy storage duration into the total revenue evaluation formula to obtain the maximum total revenue. The optimal parameter selection unit is used to determine the initial values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity based on the maximum total revenue.

[0014] In addition, an optional solution is that the energy storage configuration module further includes an energy storage parameter optimization unit; wherein the energy storage parameter optimization unit is used to optimize the initial values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, so as to determine the final values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity.

[0015] Alternatively, if the E 放，最优 ≤E 充,总 Then P 放，最优 t 放，最优 E 放，最优 As P respectively 最优 t 最优 E 最优 Among them, P 放，最优 t 放，最优 E 放，最优 These are the initial values ​​for the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, respectively; P 最优 t 最优 E最优 These are the final values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, respectively. If E 放，最优 >E 充,总 Then P 最优 = , t 最优 =t 放，最优 E 最优 =P 最优 ×t 最优 ;in, η 充 For discharge efficiency, η 深 S represents the depth of energy storage discharge. 衰 Energy storage attenuation coefficient.

[0016] On the other hand, the present invention also provides an analysis method for the aforementioned industrial and commercial energy storage parameter configuration system, the method comprising: Collect electricity consumption data from pre-selected industrial and commercial users over a lifetime; The electricity consumption data is analyzed to determine the relationship between the energy storage charging expenditure and the energy storage discharging revenue of the industrial and commercial users during the life cycle. Based on the energy storage charging expenditure relationship and the energy storage discharging revenue relationship, the revenue assessment relationship of the industrial and commercial users during the life cycle is determined. The optimal energy storage configuration parameters for the industrial and commercial users during their lifecycle are determined based on the aforementioned benefit assessment formula.

[0017] Compared with existing technologies, the industrial and commercial energy storage parameter configuration system and its analysis method provided by the present invention have the following beneficial effects: Firstly, it aims to combine the actual electricity consumption characteristics of industrial and commercial users, comprehensively consider economy, flexibility, and life-cycle benefits, and optimize energy storage capacity configuration strategies to better meet the needs of industrial and commercial scenarios for efficient and intelligent energy storage systems. Secondly, by analyzing multi-dimensional electricity consumption data, the energy storage parameter configuration can be made more closely aligned with the actual electricity consumption needs of industrial and commercial users. Furthermore, by utilizing a life-cycle benefit assessment mechanism to configure the optimal energy storage configuration parameters, the entire energy storage system can become more economically competitive, helping to reduce the long-term operating costs for users.

[0018] To achieve the foregoing and related objectives, one or more aspects of the invention include the features which will be described in detail below and specifically pointed out in the claims. The following description and accompanying drawings illustrate certain exemplary aspects of the invention. However, these aspects indicate only a few of the various ways in which the principles of the invention can be used. Furthermore, the invention is intended to include all such aspects and their equivalents. Attached Figure Description

[0019] Other objects and results of the invention will become more apparent and readily understood with reference to the following description taken in conjunction with the accompanying drawings and the contents of the claims, and with a more complete understanding of the invention. In the drawings: Figure 1 An internal structure diagram of an industrial and commercial energy storage parameter configuration system provided according to an embodiment of the present invention; Figure 2 This is an internal structure diagram of the electricity consumption behavior analysis module provided in an embodiment of the present invention; Figure 3 A flowchart of an industrial and commercial energy storage capacity analysis method provided according to an embodiment of the present invention; Figure 4 This is a graph showing the change in power consumption of a company according to Embodiment 1 of the present invention. Detailed Implementation

[0020] In the following description, numerous specific details are set forth for illustrative purposes and to provide a thorough understanding of one or more embodiments. However, it will be apparent that these embodiments may also be implemented without these specific details. In other instances, well-known structures and devices are shown in block diagram form for ease of description of one or more embodiments.

[0021] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. The terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, unless otherwise explicitly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate structural component; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0022] The specific structure of the industrial and commercial energy storage parameter configuration system provided by this invention is described in detail below.

[0023] Figure 1 The internal structure of an industrial and commercial energy storage parameter configuration system provided according to an embodiment of the present invention is shown. Figure 2The internal structure of an electricity consumption behavior analysis module provided according to an embodiment of the present invention is shown. (Combined with...) Figure 1 and Figure 2 As shown in the figure, the industrial and commercial energy storage parameter configuration system provided by the present invention includes an electricity consumption data acquisition module, an electricity consumption behavior analysis module, a benefit assessment calculation module, and an energy storage configuration module. The electricity consumption data acquisition module is used to collect electricity consumption data of pre-selected industrial and commercial users over a lifecycle. The electricity consumption behavior analysis module is used to analyze the electricity consumption data to determine the energy storage charging expenditure relationship and the energy storage discharging revenue relationship of the industrial and commercial users over the lifecycle. The benefit assessment calculation module is used to determine the total benefit assessment relationship of the industrial and commercial users over the lifecycle based on the energy storage charging expenditure relationship and the energy storage discharging revenue relationship. The energy storage configuration module is used to determine the optimal energy storage configuration parameters of the industrial and commercial users over the lifecycle based on the benefit assessment relationship.

[0024] In a preferred embodiment of the present invention, during the collection of electricity consumption data from a pre-selected industrial or commercial user over a lifecycle, a day, a week, or even a year can be chosen as a lifecycle. For example, the user's electricity consumption data for the past 12 months can be obtained through the user's electricity consumption information collection system (e.g., a smart meter). This data includes electricity load, electricity charges, etc. It should be noted that the load fluctuation characteristics of weekdays, weekends, and holidays need to be clearly defined for the electricity consumption data. This facilitates subsequent analysis of the user's electricity consumption during off-peak, average, peak, and peak periods, and allows for a preliminary determination of the charging and discharging time periods for subsequent energy storage. Furthermore, it should be noted that, in the actual data collection process, the scanning cycle for power consumption should generally not exceed 15 minutes; adjustments can be made based on specific circumstances. Additionally, when some electricity consumption data for the user is incomplete, the missing data can be filled in using data from the corresponding weekday, weekend, and holiday electricity consumption data that exhibit similar load fluctuation characteristics.

[0025] In a preferred embodiment of the present invention, the electricity consumption data of industrial and commercial users is calculated in layers by an electricity consumption behavior analysis module to extract basic electricity consumption characteristics. The periodic fluctuation characteristics of electricity consumption are then used for subsequent analysis of energy storage parameters for industrial and commercial users. Specifically, the electricity consumption behavior analysis module includes a charge / discharge operation time range analysis unit; wherein, the charge / discharge operation time analysis unit is used to analyze the electricity consumption data to determine the charging operation time range and discharging operation time range within the life cycle.

[0026] More specifically, to enable the electricity consumption behavior analysis module to analyze charging parameters, the electricity consumption behavior analysis module may also include a charging capacity analysis unit and a charging expenditure analysis unit; wherein, the charging capacity analysis unit is used to analyze electricity consumption data to determine the relationship between the total energy storage charging capacity of industrial and commercial users and the total energy storage charging capacity over the life cycle; the charging expenditure analysis unit is used to analyze electricity consumption data based on the relationship between the total energy storage charging capacity and the total energy storage charging expenditure of industrial and commercial users and the total energy storage charging expenditure over the life cycle.

[0027] Specifically, the formula for the total energy storage and charging capacity is: E 充,总 =P 充,max ×t 谷，有效 ; where t 谷,有效 For commercial and industrial users, the effective charging time over the lifespan, P 充,max The maximum active power for charging transformers used by industrial and commercial users throughout their lifespan; and... Where K1 is the transformer load rate; SN is the transformer rated capacity; P is the power factor of the transformer. 其他 To exclude the maximum power output during the remaining periods after charging is not possible; the total expenditure for energy storage charging is expressed as: M 充 = E 充,总 ×η 深 ×m 谷 / η 充 ; Among them, M 充 For the total expenditure on energy storage charging, E 充,总 For the total energy storage charging capacity, η 深 For the depth of energy storage and discharge, m 谷 η is the local off-peak electricity price. 充 For charging efficiency.

[0028] It should be noted that the above formula for calculating the total energy storage charging expenditure is for a user's total energy storage charging expenditure over one lifecycle. However, in actual use, if the lifecycle is selected as one day, it is usually necessary to calculate the total energy storage charging expenditure for the entire year. In this case, M 年，充 = , of which M 年，充 Total expenditure on energy storage charging for the entire year, Total daily expenditure for energy storage charging.

[0029] In addition, to enable the electricity consumption behavior analysis module to analyze discharge parameters, the electricity consumption behavior analysis module may also include a discharge capacity analysis unit and a discharge revenue analysis unit. The discharge capacity analysis unit is used to analyze electricity consumption data to determine the relationship between the total energy storage discharge capacity of industrial and commercial users during their life cycle. The discharge revenue analysis unit is used to analyze electricity consumption data based on the relationship between the total energy storage discharge capacity to determine the relationship between the total energy storage discharge revenue.

[0030] The formula for the total energy storage and discharge capacity is: E 放，总 = P(n) 放 ×t 放 Among them, E 放，总 For the total energy storage and discharge capacity, t 放 Let P(n) be the energy storage and discharge duration. 放 Let P(n) be the pre-selected energy storage discharge power; and P(n) 放 The selection is based on n, where n is the selection coefficient; where... P(n) 放 = + ;in, P (peak) max，负荷 This refers to the maximum electrical load power consumed by industrial and commercial users during peak electricity pricing. P (peak) min，负荷 This refers to the minimum electrical load power required by industrial and commercial users during peak electricity pricing. ≥P(n) 放 ≥ n is an integer, ranging from 0 to 10; the formula for total revenue from energy storage discharge is: M 放 = ×m 峰 +E 剩余 ×m 平 Among them, M 放 For total revenue from energy storage discharge, P 判 The real-time energy storage discharge power is given by t, and the peak energy storage duration is given by m. 峰 For the agreed peak electricity price, E 剩余 m represents the remaining energy after the stored energy is discharged. 平 Let P(n) be the agreed-upon flat electricity price; where P(n) is... 放 ≥P 负荷，实时 Then P 判 =P 负荷，实时 If P(n) 放 <P 负荷，实时 Then, P 判 =P(n) 放 .

[0031] It should be noted that the above formula for calculating total energy storage discharge revenue is for a user's total energy storage discharge revenue over one lifecycle. However, in actual use, if the lifecycle is selected as one day, it is usually necessary to calculate the total energy storage discharge revenue for the entire year. In this case, M 年，放 = , of which M 年，放 The total revenue from energy storage discharge for the entire year. This represents the total daily revenue from energy storage discharge.

[0032] The above analysis method can be used to establish the relationship between the total energy storage charging expenditure and the total energy storage discharging revenue of the industrial and commercial user throughout its entire life cycle. Combining these two relationships with the total investment cost of the industrial and commercial user, the total revenue assessment relationship of the user can be obtained. The total investment cost of the industrial and commercial user includes the initial investment cost of energy storage, operation and maintenance costs, charging and grid connection costs, etc. The initial investment cost includes the purchase cost of the energy storage system, installation and commissioning costs, and expenditure on supporting equipment. The purchase cost of the energy storage system is calculated by multiplying the unit capacity price by the configured capacity.

[0033] Furthermore, the total revenue assessment formula is: M 总收 =M 放 -M 充 -M 投 ;in, M 总收 M represents the total revenue of industrial and commercial users over their lifetime. 放 Total revenue from energy storage discharge, M 充 M represents the total expenditure on energy storage charging. 投 This represents the total investment cost for industrial and commercial users.

[0034] Finally, the returns of each pre-selected energy storage discharge power and corresponding discharge duration are compared, and the optimal energy storage discharge power, optimal energy storage duration, and optimal energy storage capacity with the highest return are selected.

[0035] Specifically, the optimal energy storage configuration parameters include the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity; and the energy storage configuration module includes a pre-selected data substitution unit and an optimal parameter selection unit; wherein, the pre-selected data substitution unit is used to sequentially substitute each pre-selected energy storage discharge power and the corresponding energy storage duration into the total revenue evaluation formula to obtain the maximum total revenue; the optimal parameter selection unit is used to determine the initial values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity based on the maximum total revenue.

[0036] Furthermore, the energy storage configuration module also includes an energy storage parameter optimization unit; wherein, the energy storage parameter optimization unit is used to optimize the initial values ​​of the optimal energy storage discharge power, optimal energy storage duration and optimal energy storage capacity, so as to determine the final values ​​of the optimal energy storage discharge power, optimal energy storage duration and optimal energy storage capacity. Where, if E 放，最优 ≤E 充,总 Then P 放，最优 t 放，最优 E 放，最优 As P respectively 最优 t 最优 E 最优 Among them, P 放，最优 t 放，最优 E 放，最优 These are the initial values ​​for the optimal energy storage discharge power, optimal energy storage duration, and optimal energy storage capacity, respectively; P 最优 t 最优 E 最优 These are the final values ​​of optimal energy storage discharge power, optimal energy storage duration, and optimal energy storage capacity, respectively. If E 放，最优 >E 充,总 ; P 最优 = , t 最优 =t 放，最优 E 最优 =P 最优 ×t 最优 ; where η 充 For discharge efficiency, η 深 S represents the depth of energy storage discharge. 衰 Energy storage attenuation coefficient.

[0037] on the other hand, Figure 1 The flowchart of the industrial and commercial energy storage capacity analysis method provided in the embodiments of the present invention is shown, which consists of... Figure 1 It is understood that the present invention also provides an analysis method for the aforementioned industrial and commercial energy storage parameter configuration system, the method comprising: S110: Collect electricity consumption data of pre-selected industrial and commercial users over a lifecycle; S120: Analyze electricity consumption data to determine the relationship between energy storage charging expenditure and energy storage discharging revenue for industrial and commercial users throughout their lifecycle; S130: Determine the revenue assessment formula for industrial and commercial users over the life cycle based on the energy storage charging expenditure formula and the energy storage discharging revenue formula; S140: Determine the optimal energy storage configuration parameters for industrial and commercial users throughout their lifecycle based on the revenue assessment relationship.

[0038] To enable those skilled in the art to fully understand and implement the present invention, the specific implementation principles of the present invention will be further explained below with reference to a specific application scenario and specific embodiments.

[0039] Example 1: Taking the deployment of an energy storage system by a certain enterprise as an example, firstly, by collecting the enterprise's daily electricity consumption and peak load time distribution data over the past year, and obtaining relevant information such as transformers and electricity bills, the peak and off-peak electricity prices and time periods, power changes, etc. are analyzed. The specific analysis data is as follows: Table 2.3-1 Peak-valley electricity prices

[0040] Table 2.3-2 Electricity Price Periods

[0041] In addition, the company's power consumption change curve is shown in the figure below. Figure 4 As shown.

[0042] (1) By organizing and quantifying the above electricity consumption data, a basis is provided for subsequent calculation and analysis. Considering that the total electricity load of the park is the maximum power of the transformer load, the corresponding charging formula is substituted as follows:

[0043] The company's transformer has a maximum power of 63 MW, a power factor of 0.9, a load factor of 0.9, a peak electricity consumption of 8-38 MW, and a remaining charging capacity of 13-43 MW.

[0044] (2) The formula for energy storage capacity is as follows: E 放，总 =P 放 ×t 放 1) Energy storage duration: The energy storage capacity calculation takes into account maximizing the use of energy storage profits and making full use of the company's dual-off-peak electricity advantage. The energy storage time is selected as 3 hours.

[0045] 2) Energy storage discharge power: ≥P 放 ≥

[0046] Analysis of power variation data shows that the load power ranges from 2 to 34 MW during peak periods, therefore the energy storage discharge power ranges from 2 to 34 MW. It can be calculated using the power grading formula: P(n) 放 = +

[0047] After grading, the discharge power was selected as 2MW, 5MW, 8MW, 12MW, 15MW, 18MW, 21MW, 24MW, 28MW, 31MW, and 34MW.

[0048] 3) Energy storage capacity: E 放，总 =P 放 ×t 放 After determining the capacity to be input, perform economic calculations for energy storage charging and discharging. The selected discharge power and its corresponding energy storage capacity (energy storage parameter configuration) are as follows: 2MW / 6MWh, 5MW / 15MWh, 8MW / 24MWh, 12MW / 36MWh, 15MW / 45MWh, 18MW / 54MWh, 21MW / 63MWh, 24MW / 72MWh, 28MW / 84MWh, 31MW / 93MWh, 34MW / 102MWh.

[0049] (4) The economic calculation of energy storage and charging can be substituted into the following formula, with energy storage depth set at 90%, charging efficiency at 92%, and off-peak electricity price calculated based on monthly prices.

[0050] M 充 =P 充,实际 ×t 谷,有效 ×η 深度 ×m 谷 / η 充 (5) The economic calculation of energy storage discharge can be substituted into the following formula, with the energy storage depth set at 90%, the discharge efficiency at 92%, and the peak electricity price calculated based on the monthly price.

[0051] M 放 = ×m 峰 +E 剩余 ×m 平 Where m 峰 m 平 The peak and flat electricity prices after the agreed electricity price (agreed electricity price) are calculated as follows: the remaining electricity after the energy storage is discharged during the peak electricity period is E_remaining = E_rated × η_discharge × η_depth - P_judgment × T_judgment. The electricity that cannot be discharged during the peak and flat electricity periods is released during the flat electricity period.

[0052] Annual discharge revenue can be brought into M 年，放 = Perform the calculations.

[0053] The initial investment cost calculation in the financial projections includes the purchase cost of the energy storage system, installation and commissioning costs, and expenditures on supporting equipment. The purchase cost of the energy storage system is calculated by multiplying the unit capacity price by the configured capacity. The unit capacity price is determined based on market conditions and is set at 1,000 yuan per kilowatt-hour. The installation and commissioning cost is estimated at 10% of the total investment based on the material and labor costs in the actual construction plan. The initial inspection cost is 5,000 yuan per year, the mid-term component replacement cost is 20,000 yuan every five years, and the later-stage technology upgrade cost is 50,000 yuan every ten years. Other costs, such as battery replacement and insurance, are also considered.

[0054] The energy storage time is 3 hours. After substituting the results into the tiered categories, the after-tax rate of return on project construction investment is used as the measurement standard, as shown in the table below:

[0055] Based on the revenue results, 15MW / 45MWh was ultimately selected as the energy storage configuration parameter (the energy storage duration will be determined according to the actual situation). Through the above scientific calculation and analysis of the company's electricity consumption parameters, the scientific configuration and efficient operation of energy storage parameters can be achieved.

[0056] As can be seen from the above specific embodiments, the industrial and commercial energy storage parameter configuration system and its analysis method provided by the present invention have at least the following advantages: 1. In response to the fluctuating characteristics of industrial and commercial electricity consumption, this system meets the needs of business owners for calculating and selecting energy storage capacity by performing tiered calculations of energy storage power, thereby making capacity matching more accurate. 2. With the goal of minimizing unit capacity cost and maximizing unit revenue, the optimal energy storage capacity scale is determined by comparing construction and operation and maintenance costs with revenue, combined with return on investment indicators. 3. A full life-cycle benefit assessment module is formed, which can be integrated with energy storage system management software through a cloud platform to support remote access and real-time updates; 4. When user data collection is incomplete, the missing data can be filled in based on the load fluctuation characteristics similar to those of corresponding weekdays, weekends, and holidays.

[0057] As per the above reference Figures 1 to 4 The industrial and commercial energy storage parameter configuration system and its analysis method according to the present invention are described by way of example. However, those skilled in the art should understand that various modifications can be made to the industrial and commercial energy storage parameter configuration system and its analysis method proposed in the present invention without departing from the scope of the invention. Therefore, the scope of protection of the present invention should be determined by the contents of the appended claims.

Claims

1. A commercial and industrial energy storage parameter configuration system, characterized in that, It includes an electricity consumption data acquisition module, an electricity consumption behavior analysis module, a benefit assessment and calculation module, and an energy storage configuration module: among which, The electricity data acquisition module is used to collect electricity data of pre-selected industrial and commercial users within a life cycle; The electricity consumption behavior analysis module is used to analyze the electricity consumption data to determine the relationship between the energy storage charging expenditure and the energy storage discharging revenue of the industrial and commercial users during the life cycle. The benefit assessment calculation module is used to determine the total benefit assessment formula for the industrial and commercial users over the life cycle based on the energy storage charging expenditure formula and the energy storage discharging revenue formula. The energy storage configuration module is used to determine the optimal energy storage configuration parameters for the industrial and commercial users during the life cycle based on the revenue assessment formula.

2. The industrial and commercial energy storage parameter configuration system as described in claim 1, characterized in that, The electricity consumption behavior analysis module further includes a charging capacity analysis unit and a charging expenditure analysis unit; wherein... The charging capacity analysis unit is used to analyze the electricity consumption data to determine the relationship between the total energy storage charging capacity of the industrial and commercial users during the life cycle. The charging expenditure analysis unit is used to analyze the electricity consumption data based on the total energy storage charging capacity relationship to determine the total energy storage charging expenditure relationship of the industrial and commercial users during the life cycle.

3. The industrial and commercial energy storage parameter configuration system as described in claim 2, characterized in that, The total energy storage and charging capacity relationship is: E 充,总 =P 充,max ×t 谷，有效 ;in, t 谷,有效 P represents the effective charging duration for the industrial and commercial user during the lifecycle. 充,max The maximum active power for charging the transformers of the industrial and commercial users during their lifespan; and... Wherein, K1 is the load rate of the transformer; SN is the rated capacity of the transformer; P is the power factor of the transformer. 其他 To exclude the maximum power during the remaining time period after the inability to charge; The total expenditure relationship for energy storage charging is: M 充 = E 充,总 ×η 深 ×m 谷 / η 充 ;in, M 充 For the total expenditure on energy storage charging, E 充,总 For the total energy storage charging capacity, η 深 For the depth of energy storage and discharge, m 谷 η is the local off-peak electricity price. 充 For charging efficiency.

4. The industrial and commercial energy storage parameter configuration system as described in claim 3, characterized in that, The electricity consumption behavior analysis module further includes a discharge capacity analysis unit and a discharge revenue analysis unit; wherein... The discharge capacity analysis unit is used to analyze the electricity consumption data to determine the relationship between the total energy storage discharge capacity of the industrial and commercial users during the life cycle. The discharge revenue analysis unit is used to analyze the electricity consumption data based on the total energy storage discharge capacity relationship to determine the total energy storage discharge revenue relationship.

5. The industrial and commercial energy storage parameter configuration system as described in claim 4, characterized in that, The total energy storage and discharge capacity relationship is: E 放，总 = P(n) 放 ×t 放 ; in, E 放，总 For the total energy storage and discharge capacity, t 放 Let P(n) be the energy storage and discharge duration. 放 Pre-selected energy storage discharge power; Furthermore, P(n) 放 The selection is based on n, where n is the selection coefficient; where... P(n) 放 = + ;in, P (peak) max，负荷 P(peak) represents the maximum electrical load power of the industrial and commercial users during peak electricity pricing. min，负荷 This refers to the minimum electrical load power of the industrial and commercial users during peak electricity prices. ≥P(n) 放 ≥ n is an integer, and the value of n ranges from 0 to 10; The formula for the total revenue from energy storage discharge is: M 放 = ×m 峰 +E 剩余 ×m 平 ;in, M 放 For total revenue from energy storage discharge, P 判 The real-time energy storage discharge power is given by t, and the peak energy storage duration is given by m. 峰 For the agreed peak electricity price, E 剩余 m represents the remaining energy after the stored energy is discharged. 平 To negotiate a flat electricity price; Where, if P(n) 放 ≥P 负荷，实时 Then P 判 =P 负荷，实时 ; If P(n) 放 <P 负荷，实时 Then, P 判 =P(n) 放 .

6. The industrial and commercial energy storage parameter configuration system as described in claim 5, characterized in that, The total revenue assessment formula is: M 总收 =M 放 -M 充 -M 投 ; Among them, M 总收 M represents the total revenue of the industrial and commercial users over the lifecycle. 放 Total revenue from energy storage discharge, M 充 M represents the total expenditure on energy storage charging. 投 This represents the total investment cost for the industrial and commercial users.

7. The industrial and commercial energy storage parameter configuration system as described in claim 6, characterized in that, The optimal energy storage configuration parameters include optimal energy storage discharge power, optimal energy storage duration, and optimal energy storage capacity; and the energy storage configuration module includes a pre-selected data input unit and an optimal parameter selection unit; wherein, The pre-selected data substitution unit is used to sequentially substitute each pre-selected energy storage discharge power and corresponding energy storage duration into the total revenue evaluation formula to obtain the maximum total revenue. The optimal parameter selection unit is used to determine the initial values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity based on the maximum total revenue.

8. The industrial and commercial energy storage parameter configuration system as described in claim 7, characterized in that, The energy storage configuration module further includes an energy storage parameter optimization unit; wherein, the energy storage parameter optimization unit is used to optimize the initial values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, so as to determine the final values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity.

9. The industrial and commercial energy storage parameter configuration system as described in claim 8, characterized in that, If the E 放，最优 ≤E 充,总 Then P 放，最优 t 放，最优 E 放，最优 As P respectively 最优 t 最优 E 最优 ; Among them, P 放，最优 t 放，最优 E 放，最优 These are the initial values ​​for the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, respectively; P 最优 t 最优 E 最优 These are the final values ​​of the optimal energy storage discharge power, the optimal energy storage duration, and the optimal energy storage capacity, respectively. If E 放，最优 >E 充,总 Then P 最优 = , t 最优 =t 放，最优 E 最优 =P 最优 ×t 最优 ;in, η 充 For discharge efficiency, η 深 S represents the depth of energy storage discharge. 衰 Energy storage attenuation coefficient.

10. An analysis method for an industrial and commercial energy storage parameter configuration system as described in any one of claims 1 to 9, characterized in that, The method includes: Collect electricity consumption data from pre-selected industrial and commercial users over a lifetime; The electricity consumption data is analyzed to determine the relationship between the energy storage charging expenditure and the energy storage discharging revenue of the industrial and commercial users during the life cycle. Based on the energy storage charging expenditure relationship and the energy storage discharging revenue relationship, the revenue assessment relationship of the industrial and commercial users during the life cycle is determined. The optimal energy storage configuration parameters for the industrial and commercial users during their lifecycle are determined based on the aforementioned benefit assessment formula.

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