User side energy storage energy management system and method capable of automatically measuring and calculating earnings

Abstract

The invention relates to a user-side energy storage energy management system and method capable of automatically measuring and calculating earnings. Each energy storage unit is connected with a user-side load and a power grid through a cable; each intelligent bidirectional electric meter is used for measuring the power of the corresponding energy storage unit, and the intelligent electric meters are used for measuring the power of the energy storage energy management system at the power grid side; the energy management system obtains the power P1-Pn of each intelligent bidirectional electric meter and the power Pz of the intelligent electric meter in each period based on a set time period, and n represents the number of the energy storage units and the number of the intelligent bidirectional electric meters; calculating the load demand power P of each period based on the sum of the power Pz and the power P1-Pn; determining the maximum value Pmax in the load demand power P of each period, calculating the monthly maximum power demand value of the sum of all the electrical loads based on the maximum value Pmax, and carrying out the automatic calculation of earnings; the monthly demand cost increased due to energy storage charging can be accurately calculated, and meanwhile, the real peak-valley arbitrage income of the energy storage system in the current month can be calculated.

Description

Technical Field

[0001] The present invention relates to the field of new energy management, and in particular to a user-side energy storage management method that automatically calculates benefits. Background Art

[0002] With the growth of installed capacity for renewable energy sources like photovoltaics and wind power, as well as the advancement of energy storage technology, the price differentials between peak and valley electricity prices across regional power grids have widened. The peak-valley arbitrage benefits of behind-the-meter energy storage, which can be used to shift peaks and fill valleys, have significantly increased, spurring the development of behind-the-meter energy storage and leading to the large-scale deployment of energy storage systems to reduce carbon emissions and electricity costs for businesses. However, the investment cost of energy storage systems is high, so for investors, a clearer understanding of the benefits and return on investment of energy storage systems is a key factor in determining whether to invest in energy storage. In cases where energy storage investors and users are separate entities, a more accurate calculation of energy storage system returns is necessary to facilitate better equity distribution.

[0003] However, existing technologies often focus on calculating user-side energy storage revenue by focusing solely on peak-valley arbitrage profits, often overlooking the increased demand charges associated with the introduction of storage and charging. This direct disregard for increased demand charges can lead to increased electricity bills for energy storage users, which is disadvantageous to them.

[0004] 2) Another common statistical method is to directly calculate the monthly maximum charging power of the energy storage system and multiply it by the grid demand electricity price to calculate the demand cost caused by energy storage system charging when the energy storage system investor and the energy storage system user are different. This method is also unreasonable.

[0005] Because only when the user's highest power consumption period Tmax is the same as the energy storage system's maximum charging power period tmax, the demand charge calculated by this method is actually caused by energy storage charging. In any other case, the demand charge caused by energy storage charging is less than the charge obtained by this calculation method.

[0006] 3) When the energy storage system has one or more grid connection points and electricity metering points, the incremental cost of energy storage charging is calculated by simply adding the monthly maximum power of each grid connection point and multiplying it by the grid demand electricity price. This embodiment of the present invention, like that described in 2), is equally unreasonable and will result in significant financial losses for investors.

[0007] 4) Due to the fact that most current user-side energy storage systems cannot install a demand smart meter at a certain point in the user's distribution system to directly measure the maximum demand value of all power loads excluding the energy storage system.

[0008] Therefore, how to more comprehensively and accurately calculate the demand costs caused by energy storage charging, as well as the charging and discharging benefits, has become a technical problem that needs to be solved. Summary of the Invention

[0009] This invention addresses the technical issues existing in the prior art by providing a user-side energy storage management system and method that automatically calculates returns. This system accurately calculates the monthly demand charges associated with energy storage charging, while also calculating the actual peak-valley arbitrage returns of the energy storage system for that month. This makes the investment returns of energy storage systems clearer and more accurate, helping energy storage investors and users better understand the true returns of energy storage systems.

[0010] According to a first aspect of the present invention, there is provided a user-side energy storage management system for automatically calculating revenue, comprising: at least one energy storage unit, at least one smart bidirectional electricity meter, a smart electricity meter, and an energy management system; Each energy storage unit is connected to the user-side load and the power grid through cables; each smart bidirectional meter is used to measure the power of the corresponding energy storage unit, and the smart meter is used to measure the power of the energy storage energy management system on the grid side; The energy management system obtains the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period based on a set time period, where n represents the number of energy storage units and smart bidirectional meters; calculates the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determines the maximum value Pmax of the load demand power P of each period, calculates the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax, and automatically calculates the benefits.

[0011] On the basis of the above technical solution, the present invention can also make the following improvements.

[0012] Optionally, the smart meter calculates the average power Pz of each cycle by a slip method, and periodically sends the average power Pz of the current demand cycle and the current time T to the energy management system at an interval t, where t is the slip time.

[0013] Optionally, when the energy storage unit is charging, the energy management system calculates the load demand power P=Pz-(P1+..+Pn); when the energy storage unit is discharging, the energy management system calculates the load demand power P=Pz+(P1+..+Pn).

[0014] Optionally, the process of automatically calculating the benefits of the energy management system includes: The energy management system obtains the maximum value Pmax in P; The energy management system determines the monthly maximum demand value PMAX of the smart meter and the corresponding time TMAX based on the collected values; Set the deviation accuracy range value -P0~P0; If PMAX-Pmax is greater than P0 and TMAX is within the energy storage system charging time, it means that the monthly maximum demand occurs during energy storage system charging. The demand cost caused by energy storage system charging is calculated as (PMAX-Pmax). Demand electricity unit price; If PMAX-Pmax is within the accuracy range of -P0 to P0, and TMAX is within the energy storage system's non-power consumption and non-discharging period, it indicates that the monthly maximum demand occurred during the energy storage system outage. Therefore, the maximum demand charge for that month is unrelated to the energy storage system. If PMAX-Pmax is less than -P0 and TMAX is verified during the energy storage system's discharge period, the maximum monthly demand occurs during the energy storage system's discharge period. Calculate the user's monthly demand cost reduction due to the energy storage unit as: (Pmax-PMAX) Demand electricity unit price.

[0015] Optionally, the energy management system calculates the peak-valley arbitrage income of the energy storage system this month as: R=(Monthly discharge capacity Time-of-use electricity price during discharge period - charging power this month Charging period time-of-use electricity price)-(PMAX-P1max) Demand electricity unit price.

[0016] Optionally, the energy storage unit includes: an energy storage battery system, a battery energy management system, an energy storage converter and an energy storage unit switch; The energy storage battery system provides energy storage and release for the energy storage unit; The energy storage battery system is connected to the DC side of the converter, and the AC side of the converter is connected to the user's power distribution system through the circuit breaker and the smart bidirectional meter; The energy management system communicates with the battery management system, the energy storage converter, and the energy storage unit switch, monitors the operating status of the energy storage converter, the energy storage unit switch, and the energy storage converter, and controls the energy storage converter to charge and discharge the energy storage battery system according to the set charge and discharge strategy; The battery management system is used to monitor and manage the safe operation of the energy storage battery system.

[0017] According to a second aspect of the present invention, a method for managing user-side energy storage with automatic profit calculation is provided, wherein the user-side energy storage comprises: energy storage units interconnected with user-side loads and a power grid, and the method comprises: Step 1: Set a time period and obtain the power P1 to Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters; Step 2: Calculate the load demand power P of each cycle based on the power Pz and the sum of the powers P1 to Pn; determine the maximum value Pmax of the load demand power P of each cycle; Step 3: Calculate the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax and automatically calculate the benefits.

[0018] According to a third aspect of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the processor is configured to implement the steps of a user-side energy storage management method for automatically calculating benefits when executing a computer management program stored in the memory.

[0019] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer management program is stored. When the computer management program is executed by a processor, the steps of the user-side energy storage energy management method for automatically calculating the benefits are implemented.

[0020] The present invention provides a user-side energy storage management system, method, electronic device, and storage medium for automatically calculating revenue. The calculated increased demand costs are always greater than the actual demand costs caused by the energy storage system. The energy management system can accurately reflect the actual changes in demand costs caused by the energy storage system under all circumstances. However, when the user load fluctuates significantly and the charging power changes, the demand costs calculated by the embodiments of the present invention cannot truly reflect the impact of the energy storage system on the user's demand costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the structure of an embodiment of a user-side energy storage management system for automatically calculating revenue provided by the present invention; Figure 2 A flow chart of a user-side energy storage management method for automatically calculating benefits provided by the present invention; Figure 3 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 4 A schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0022] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0023] Figure 1A schematic diagram of an embodiment of a user-side energy storage management system for automatically calculating revenue provided by the present invention is shown in FIG. Figure 1 As shown, the energy storage and energy management system includes: at least one energy storage unit, at least one smart bidirectional electricity meter, a smart electricity meter and an energy management system (EMS).

[0024] Each energy storage unit is connected to the user-side load and the grid via cables. Each smart bidirectional meter measures the power of the corresponding energy storage unit, while the smart meter on the grid measures the power of the energy storage management system. In specific implementations, the smart meter is a user-side grid smart meter Z, which connects the user to the grid. Meter Z measures and records the power consumption and maximum demand of the entire user's power distribution system. Smart meters (1 to n) are bidirectional smart meters at the energy storage system's grid connection point. These meters record and forward the maximum average power for each time period. The system also includes a smart gateway and power and communication cables between devices.

[0025] Based on the set time period, the energy management system obtains the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters; calculates the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determines the maximum value Pmax of the load demand power P of each period, calculates the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax, and automatically calculates the benefits.

[0026] The load demand power P is the actual average demand cycle power of the user's distribution system after removing the energy storage system.

[0027] The user-side energy storage management system, which automatically calculates returns, can accurately calculate the monthly demand charges associated with energy storage charging and the actual peak-valley arbitrage returns of the energy storage system for that month. This makes the investment returns of energy storage systems clearer and more accurate, helping energy storage investors and users better understand the true investment returns of energy storage systems.

[0028] Example 1 The embodiment 1 provided by the present invention is an embodiment of a user-side energy storage management system that automatically calculates the benefits provided by the present invention, combined with Figure 1 It can be seen that the embodiment of the user-side energy storage and energy management system includes: at least one energy storage unit, at least one smart bidirectional electricity meter, a smart electricity meter and an energy management system.

[0029] Each energy storage unit is connected to the user-side load and the grid via cables. Each smart bidirectional meter measures the power of the corresponding energy storage unit, while the smart meter on the grid measures the power of the energy storage management system. In specific implementations, the smart meter is a user-side grid smart meter Z, which connects the user to the grid. Meter Z measures and records the power consumption and maximum demand of the entire user's power distribution system. Smart meters (1 to n) are bidirectional smart meters at the energy storage system's grid connection point. These meters record and forward the maximum average power for each time period. The system also includes a smart gateway and power and communication cables between devices.

[0030] Based on the set time period, the energy management system obtains the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters; calculates the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determines the maximum value Pmax of the load demand power P of each period, calculates the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax, and automatically calculates the benefits.

[0031] The load demand power P is the actual average demand cycle power of the user's distribution system after removing the energy storage system.

[0032] In a possible embodiment, the smart meter calculates the average power Pz of each cycle by a slip method, and periodically sends the average power Pz of the current demand cycle and the current time T to the energy management system at an interval t, where t is the slip time.

[0033] In one possible embodiment, when the energy storage unit is charging, the energy management system calculates the load demand power P=Pz-(P1+..+Pn); when the energy storage unit is discharging, the energy management system calculates the load demand power P=Pz+(P1+..+Pn).

[0034] In one possible embodiment, the process of automatically calculating the revenue of the energy management system includes: The energy management system obtains the maximum value Pmax in P.

[0035] In a specific implementation, the maximum value Pmax of the P data at each time t in a month can be calculated and stored.

[0036] Energy Management System The energy management system monitors and collects the current maximum power and the maximum average power in each period of each smart meter through the intelligent gateway and communication lines, and determines the monthly maximum demand value PMAX and the corresponding time TMAX of the smart meter based on the collected values.

[0037] In specific implementation, the energy management system collects data from smart meters and simulates the actual power consumption of the user's distribution system after removing the energy storage system in each period through calculation to obtain the user's actual monthly maximum demand.

[0038] Set a deviation accuracy range value close to 0, -P0~P0.

[0039] If PMAX-Pmax is greater than P0, the result is greater than 0. If TMAX is within the energy storage system charging time, it means that the maximum monthly demand occurs during energy storage system charging. The demand cost caused by energy storage system charging is calculated as (PMAX-Pmax). Demand electricity unit price.

[0040] If PMAX-Pmax is within the accuracy range of -P0 to P0, the result is equal to 0. If TMAX is within the time period when the energy storage system is not consuming electricity and not discharging, it means that the monthly maximum demand occurs during the energy storage system outage. Therefore, the maximum demand cost for that month is not related to the energy storage system.

[0041] If PMAX-Pmax is less than -P0, the result is less than 0. If TMAX is checked during the energy storage system's discharge period, it means the monthly maximum demand occurs during the energy storage system's discharge period. Calculate the user's monthly demand cost reduction due to the energy storage unit as: (Pmax-PMAX) Demand electricity unit price.

[0042] In a possible embodiment, the energy management system calculates the peak-valley arbitrage income of the energy storage system this month as: R=(Monthly discharge capacity Time-of-use electricity price during discharge period - charging power this month Charging period time-of-use electricity price)-(PMAX-P1max) Demand electricity unit price.

[0043] In a possible embodiment, the energy storage unit includes: an energy storage battery system, a battery energy management system, an energy storage converter, and an energy storage unit switch.

[0044] The energy storage battery system provides energy storage and release for the energy storage unit.

[0045] The energy storage battery system is connected to the DC side of the converter, and the AC side of the converter is connected to the user's power distribution system through a circuit breaker and an intelligent bidirectional meter.

[0046] The energy management system communicates with the battery management system, the energy storage converter and the energy storage unit switch, monitors the operating status of the energy storage converter, the energy storage unit switch and the energy storage converter, and controls the energy storage converter to charge and discharge the energy storage battery system according to the set charge and discharge strategy.

[0047] The battery management system is used to monitor and manage the safe operation of the energy storage battery system.

[0048] The smart bidirectional demand meters at the grid connection point of the energy storage system need to be unified, and the slip method is used to measure the demand cycle T. The slip time t needs to be consistent with the demand cycle T of the smart meter Z at the grid connection point.

[0049] At the same time, through EMS data collection and calculation, the maximum demand value of each period of all power loads in the user's power distribution system, excluding the energy storage system, is simulated to determine the monthly maximum power demand value of the sum of all power loads in the user's power distribution system, excluding the energy storage system. This is used to calculate the actual monthly demand cost and monthly investment return of the user.

[0050] When it's impossible to install a demand-based smart meter at a specific point in the power system to directly measure the maximum demand value of the sum of all loads excluding the energy storage system, the maximum demand value of the sum of all loads in the user's distribution system excluding the energy storage system can be simulated for each period to determine the monthly maximum power demand value of the sum of all loads in the user's distribution system excluding the energy storage system. This can be used to determine the user's actual monthly demand costs and monthly investment returns.

[0051] Example 2 Embodiment 2 provided by the present invention is an embodiment of a user-side energy storage management method for automatically calculating benefits provided by the present invention. Figure 2 A flowchart of a user-side energy storage management method for automatically calculating benefits provided by an embodiment of the present invention, combined with Figure 2 It can be seen that in the embodiment of the method, the user-side energy storage includes: various energy storage units interconnected with the user-side load and the power grid, and the method includes: Step 1: Set a time period and obtain the power P1 to Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters.

[0052] Step 2: Calculate the load demand power P of each cycle based on the power Pz and the sum of the powers P1 to Pn; and determine the maximum value Pmax of the load demand power P of each cycle.

[0053] Step 3: Calculate the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax and automatically calculate the benefits.

[0054] It can be understood that the user-side energy storage energy management method for automatically calculating benefits provided by the present invention corresponds to the user-side energy storage energy management system for automatically calculating benefits provided by the aforementioned embodiments. The relevant technical features of the user-side energy storage energy management method for automatically calculating benefits can refer to the relevant technical features of the user-side energy storage energy management system for automatically calculating benefits, which will not be repeated here.

[0055] See also Figure 3 , Figure 3 Schematic diagram of an embodiment of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device, including a memory 1310, a processor 1320, and a computer program 1311 stored in the memory 1310 and executable on the processor 1320. When the processor 1320 executes the computer program 1311, the following steps are implemented: setting a time period, obtaining the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, respectively, where n represents the number of energy storage units and smart bidirectional meters; calculating the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determining the maximum value Pmax of the load demand power P of each period; calculating the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax and automatically calculating the benefits.

[0056] See also Figure 4 , Figure 4 Schematic diagram of an embodiment of a computer-readable storage medium provided by the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 1400, on which a computer program 1411 is stored. When the computer program 1411 is executed by a processor, the following steps are implemented: setting a time period, obtaining the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters; calculating the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determining the maximum value Pmax of the load demand power P of each period; and calculating the monthly maximum power demand value of the sum of all electricity loads based on the maximum value Pmax and automatically calculating the benefits.

[0057] The embodiments of the present invention provide a user-side energy storage management system, method, electronic device, and storage medium for automatically calculating revenue. Compared with directly adding the monthly maximum demand power of each grid connection point as the increased demand power of the energy storage system, and multiplying the value by the unit price of the demand fee as the increased demand fee, when the maximum demand of the energy storage system is not at the same time, or the maximum demand period and the maximum demand of the user's entire distribution system are not in the same time period, the increased demand fee calculated by the embodiments of the present invention is greater than the actual demand fee caused by the energy storage system. The energy management system of the present invention does not have this problem and can accurately reflect the actual demand fee changes caused by the energy storage system in any case.

[0058] Compared to calculating the time TMAX at which the maximum demand PMAX occurs and then calculating the energy storage system's charging and discharging power P'max corresponding to the time TMAX, the advantage of using P'max*demand charge unit price as the energy storage system's increased demand charge solution is that when the user load fluctuates greatly and the charging power changes, the demand charge calculated in this embodiment of the present invention cannot truly reflect the impact of the energy storage system on the user's demand charge.

[0059] In one possible embodiment, when a total peak load, including charging power, occurs: the user load is 90 kW, the energy storage charging is 20 kW, and the total load is 110 kW. During the peak power period, the user load is 100 kW, and the energy storage charging power is 5 kW, resulting in a total power of 105 kW. The incremental energy storage demand power calculated using this embodiment is 20 kW, but the actual energy storage system-induced demand increase costs are 110-100 = 10 kW. This means that when the actual maximum power on the user side, P1max, is greater than (PMAX-P`max), the incremental energy storage demand costs calculated using this embodiment exceed the actual demand costs. Such situations are avoided with the energy management system of this invention.

[0060] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0061] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0063] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0064] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0065] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0066] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A user-side energy storage management system that automatically calculates revenue, characterized in that: The energy storage and energy management system comprises: at least one energy storage unit, at least one smart bidirectional meter, a smart meter and an energy management system; Each energy storage unit is connected to the user-side load and the power grid through cables; each smart bidirectional meter is used to measure the power of the corresponding energy storage unit, and the smart meter is used to measure the power of the energy storage energy management system on the grid side; The energy management system obtains the power P1~Pn of each smart bidirectional meter and the power Pz of the smart meter in each period based on a set time period, where n represents the number of energy storage units and smart bidirectional meters; calculates the load demand power P of each period based on the sum of the power Pz and the power P1~Pn; determines the maximum value Pmax of the load demand power P of each period, calculates the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax, and automatically calculates the benefits.

2. The system according to claim 1, wherein: The smart meter calculates the average power Pz of each cycle, and periodically sends the average power Pz of the current demand cycle and the current time T to the energy management system at an interval t.

3. The system according to claim 1, wherein: When the energy storage unit is charging, the energy management system calculates the load demand power P=Pz-(P1+..+Pn); when the energy storage unit is discharging, the energy management system calculates the load demand power P=Pz+(P1+..+Pn).

4. The system according to claim 1, wherein: The process of automatically calculating the benefits of the energy management system includes: The energy management system obtains the maximum value Pmax in P; The energy management system determines the monthly maximum demand value PMAX of the smart meter and the corresponding time TMAX based on the collected values; Set the deviation accuracy range value -P0~P0; If PMAX-Pmax is greater than P0 and TMAX is within the energy storage system charging time, it means that the monthly maximum demand occurs during energy storage system charging. The demand cost caused by energy storage system charging is calculated as (PMAX-Pmax). Demand electricity unit price; If PMAX-Pmax is within the accuracy range of -P0 to P0, and TMAX is within the energy storage system's non-power consumption and non-discharging period, it indicates that the monthly maximum demand occurred during the energy storage system outage. Therefore, the maximum demand charge for that month is unrelated to the energy storage system. If PMAX-Pmax is less than -P0 and TMAX is verified during the energy storage system's discharge period, the maximum monthly demand occurs during the energy storage system's discharge period. Calculate the user's monthly demand cost reduction due to the energy storage unit as: (Pmax-PMAX) Demand electricity unit price.

5. The system according to claim 4, characterized in that The energy management system calculates the peak-valley arbitrage profit of the energy storage system this month as: R=(Monthly discharge capacity Time-of-use electricity price during discharge period - charging power this month Charging period time-of-use electricity price)-(PMAX-P1max) Demand electricity unit price.

6. The system according to claim 1, wherein: The energy storage unit includes: an energy storage battery system, a battery energy management system, an energy storage converter and an energy storage unit switch; The energy storage battery system provides energy storage and release for the energy storage unit; The energy storage battery system is connected to the DC side of the converter, and the AC side of the converter is connected to the user's power distribution system through a circuit breaker and the smart bidirectional meter; The energy management system communicates with the battery management system, the energy storage converter, and the energy storage unit switch, monitors the operating status of the energy storage converter, the energy storage unit switch, and the energy storage converter, and controls the energy storage converter to charge and discharge the energy storage battery system according to the set charge and discharge strategy; The battery management system is used to monitor and manage the safe operation of the energy storage battery system.

7. A user-side energy storage management method for automatically calculating benefits, characterized in that: The user-side energy storage includes: various energy storage units interconnected with the user-side load and the power grid, and the method includes: Step 1: Set a time period and obtain the power P1 to Pn of each smart bidirectional meter and the power Pz of the smart meter in each period, where n represents the number of energy storage units and smart bidirectional meters; Step 2: Calculate the load demand power P of each cycle based on the power Pz and the sum of the powers P1 to Pn; determine the maximum value Pmax of the load demand power P of each cycle; Step 3: Calculate the monthly maximum power demand value of the sum of all power loads based on the maximum value Pmax and automatically calculate the benefits.

8. An electronic device, characterized in that: It includes a memory and a processor, and the processor is used to implement the steps of the user-side energy storage management method for automatically calculating benefits as described in claim 7 when executing the computer management program stored in the memory.

9. A computer-readable storage medium, characterized in that A computer management program is stored thereon, and when the computer management program is executed by the processor, the steps of the user-side energy storage management method for automatically calculating benefits as described in claim 7 are implemented.

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