An efficient energy storage management system on the user side based on big data

Abstract

The present invention belongs to the technical field of energy storage management, and specifically relates to an efficient user-side energy storage management system based on big data. The user-side efficient energy storage management system includes a power generation unit, an energy storage unit, a detection unit, a control platform, an electricity consumption plan module, and a scheduling plan module; the power generation unit uses power generation components to generate electric energy and transmits the electric quantity to the energy storage unit. The present invention is adapted according to the actual scale on the user side, and the power generation unit and the storage unit are correspondingly set according to the number of factories. When there is at least one group of factories, through the storage distribution module, the electric quantity of multiple storage units can be connected to the power supply of any factory. That is, one factory always uses the power supply from the power grid, while another factory utilizes the power generation of two power generation units and the energy storage of two storage units, and combines the electricity consumption of this factory to switch the power supply from the power grid. In this way, not only can the electricity cost be saved, but also the pressure on the regional power grid load on the user side can be reduced, and at the same time, the frequency of power supply switching can be decreased.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage management, and in particular to a user-side efficient energy storage management system based on big data. Background Art

[0002] Energy storage power stations can ensure the stable operation of the power system by releasing stored energy when the power supply is insufficient. For enterprises, the stability and reliability of the power system are very important. Once problems such as power outages or voltage fluctuations occur, production will be seriously affected. At the same time, energy can be stored during the low period of electricity demand, and the stored energy can be released during the peak period to meet the electricity demand. This can alleviate the contradiction between electricity supply and demand to a certain extent and reduce the electricity costs of enterprises.

[0003] At present, the energy storage management systems of enterprises often remain at the stage of peak shaving and valley filling, and cannot be flexibly adjusted according to the actual situation on the user side, resulting in the power supply of energy storage stations being useless. There are often only simple peak shaving and valley filling and backup energy storage functions, which cannot bring convenience to enterprises. At the same time, power supply switching at inappropriate times will bring hidden dangers to electricity safety. At the same time, the energy storage management system of enterprises cannot share the peak power pressure for the power grid.

[0004] Therefore, it is necessary to provide a user-side efficient energy storage management system based on big data to solve the above technical problems. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a user-side efficient energy storage management system based on big data, which is used to solve the problem that the energy storage management cannot be adjusted according to the actual situation on the user side, and the peak power pressure cannot be shared for the power grid.

[0006] The present invention provides a user-side efficient energy storage management system based on big data, a user-side efficient energy storage management system based on big data, and the user-side efficient energy storage management system includes a power generation unit, an energy storage unit, a control platform, a power consumption plan module and a scheduling plan module;

[0007] The power generation unit generates electrical energy using the power generation components and transmits the electricity to the energy storage unit;

[0008] The energy storage unit includes an energy storage module, an energy storage monitoring module and an energy storage distribution module;

[0009] Each plant on the user side corresponds to a group of power generation units and a group of energy storage units;

[0010] The energy storage module is used to store electric energy, and the energy storage monitoring module is used to monitor the electric power data of the storage module. The storage allocation module is used to allocate energy storage according to the data of the power consumption plan module, the detection module and the big data module.

[0011] The energy storage module detects the grid voltage and the voltage of the user area circuit;

[0012] The power consumption plan module calculates the power consumption plan data based on the number and parameters of the equipment used in the production plan and the equipment startup time;

[0013] The scheduling plan module combines the power consumption plan data and performs scheduling according to the energy storage data of the energy storage unit and the power consumption plan data of the power consumption plan module to form a scheduling plan;

[0014] The control platform can view the energy storage of the energy storage unit, the production plan of the power consumption plan module, the energy storage and voltage data of the energy storage monitoring module, and the grid voltage data and the user area circuit voltage data of the energy storage module, and can adjust the production plan of the power consumption plan module and the scheduling plan of the scheduling plan module;

[0015] The control platform further includes a big data module. The data collected by the big data module includes weather, user power consumption, electricity charges, power weak time, recovery electricity price, and production plan. Through big data algorithms, the above data is combined with the data of the scheduling plan module and the energy storage distribution module to optimize the scheduling plan and energy storage distribution;

[0016] After the power consumption plan module calculates the power consumption plan data, through the storage distribution module, the energy storage module can be arranged to replenish energy through the grid at night according to the power consumption plan data, or the power of the energy storage module can be reserved according to the power consumption plan data.

[0017] Preferably, the scheduling plan module makes a scheduling plan according to the remaining power in the energy storage module and the power consumption plan data, which can be divided into three modes: load mode, normal mode, and low load mode;

[0018] In the load mode, the energy storage module is replenished through the grid at night, and the power generated by the production unit is directly transmitted to the grid during the day. The energy storage of the energy storage module is consumed before night, leaving standby energy storage, and the energy storage module is completely replenished by the power generation unit the next day;

[0019] In the normal mode, the energy storage module is replenished through the grid at night, and the energy storage module is started to consume its power during the day. After the energy storage of the energy storage module is consumed, the power supply is switched from the energy storage module to the grid;

[0020] While the energy storage unit is supplying power, the power generation unit can directly transmit the power generated by the production unit to the grid. After the energy storage of the energy storage module is completely consumed, the energy storage module is replenished by the power generation unit, and after the energy storage module is replenished, the power generated by the power generation unit is transmitted to the grid;

[0021] Before switching to the energy storage module for power supply again before that night, consume the energy replenishment of the energy storage module by the power generation unit on that day;

[0022] The low-load mode production equipment starts at night. On the night before that day, replenish the energy storage module through the power grid, and when the energy storage of the energy storage module is consumed to the standby energy storage, switch the power supply from the energy storage module to the power grid;

[0023] While the energy storage unit is supplying power, the power generation unit directly transmits the generated power of the production unit to the power grid;

[0024] Supplement the energy storage of the energy storage module through the power grid at night on that day.

[0025] Preferably, the energy storage module detects the grid voltage. When the grid voltage is unstable or the power is weak multiple times within a time period and the energy storage module has more than 60% of the power reserve, it is preferentially switched to the energy storage module for power supply, and this time node is recorded through the big data module.

[0026] Preferably, the energy storage module is installed in the user area circuit. When the voltage is unstable or the power is weak multiple times within a time period in any factory building, the power supply of that factory building is switched to the corresponding energy storage unit for power supply.

[0027] Preferably, the storage distribution module performs energy storage distribution on the data of the detection module. When the detection module detects that the grid voltage or current is abnormal multiple times in a short period, or the voltage or current in the user area circuit is abnormal multiple times in a short period, it is necessary to quickly replenish the energy storage module through the power generation unit or the power grid, so that the energy storage module can quickly replace the power supply of the power grid.

[0028] Preferably, the user-side high-efficiency energy storage management system establishes two groups of power generation units and two groups of energy storage units according to two factory buildings on the user side;

[0029] Through the storage distribution module, the power of the two groups of energy storage units can be connected to the power supply of any factory building. Then, one factory building always uses the power supply of the power grid, while the other factory building uses the power generation of the two power generation units and the energy storage of the two energy storage units for power supply, and combines the power consumption of the factory building to switch the power supply of the power grid.

[0030] Compared with the related technology, a user-side high-efficiency energy storage management system based on big data provided by the present invention has the following beneficial effects:

[0031] 1. The scheduling plan module in the present invention allocates three modes, namely, load mode, normal mode and low-load mode, according to the power consumption plan data of the power consumption plan module. In the load mode, since all the equipment is started, the load pressure on the regional power grid is relatively large. The power generation unit directly transmits the generated electricity to the power grid, which can reduce the voltage pressure of the power grid in the region and ensure the voltage safety of the equipment in the regional power grid. At the same time, when the power grid pressure is large, the power supply switching is reduced to avoid the occurrence of safety hazards. The load of the power grid in the normal mode will be smaller than that in the load mode. Switching the power supply under this working condition can reduce the voltage fluctuation and avoid the voltage fluctuation exceeding the voltage range of the equipment. In the low-load mode, the energy storage unit is used as a backup energy storage. When an emergency power outage or unstable power grid voltage occurs, the power supply can be taken over to avoid the impact of direct power outage on the running equipment. At the same time, according to the scheduling plan, the production is set at night to reduce the electricity cost.

[0032] 2. The present invention is adapted according to the actual scale of the user side, and the power generation units and energy storage units are correspondingly arranged according to the number of factory buildings. When there is no less than one group of factory buildings, the power of multiple energy storage units can be connected to the power supply of any factory building through the storage and distribution module. That is, one factory building is always powered by the power grid, while the other factory building uses the power generation of two power generation units and the energy storage of two energy storage units, and switches the power supply to the power grid in combination with the power consumption of the factory building. This not only saves electricity bills, but also reduces the pressure on the user side on the regional power grid load and reduces the frequency of power supply switching.

[0033] 3. The present invention collects multi-party data through the big data module, and further optimizes the scheduling plan and energy storage allocation of the scheduling plan module and the storage allocation module through the multi-party data. The scheduling plan and energy storage allocation are optimized according to the data of the weather in the user's area, the user's power consumption, electricity charges, weak power time, recycled electricity price and production plan, so that the scheduling plan and energy storage allocation are more in line with the actual needs of the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] FIG1 is a schematic diagram of a control flow of a user-side efficient energy storage management system based on big data provided by the present invention;

[0035] FIG2 is a flow chart of Embodiment 2 of the user-side efficient energy storage management system based on big data provided by the present invention;

[0036] FIG3 is a schematic diagram of a load mode operation flow of a user-side efficient energy storage management system based on big data provided by the present invention;

[0037] FIG4 is a schematic diagram of a normal mode operation flow of a user-side efficient energy storage management system based on big data provided by the present invention;

[0038] Figure 5 is a schematic diagram of the operation process of the low-load mode of the user-side efficient energy storage management system based on big data provided by the present invention. Specific embodiments

[0039] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Embodiment 1

[0040] A user-side efficient energy storage management system based on big data: a power generation unit, an energy storage unit, a control platform, a power consumption plan module, and a scheduling plan module;

[0041] The power generation unit generates electric energy using power generation components and transmits the electric quantity to the energy storage unit;

[0042] The energy storage unit includes an energy storage module, an energy storage monitoring module, and an energy storage distribution module;

[0043] The electric energy is stored through the energy storage module, the electric quantity data of the storage module is monitored through the energy storage monitoring module, and the energy storage distribution is performed through the storage distribution module according to the data of the power consumption plan module, the detection module, and the big data module;

[0044] The energy storage module is respectively installed in the power grid and the user area circuit to detect the voltage of the power grid and the user area circuit;

[0045] The power consumption plan module calculates the power consumption plan data from the number and parameters of the equipment used in the production plan and the equipment start time;

[0046] The usage time of the equipment can be estimated according to the power of the equipment and the production quantity in the production plan. The power consumption of a single equipment can be calculated through the power and the usage time, and by calculating how many equipment are needed, the power consumption plan data required for the production plan can be estimated;

[0047] The scheduling plan module combines the power consumption plan data and performs scheduling according to the energy storage data of the energy storage unit and the power consumption plan data of the power consumption plan module to form a scheduling plan;

[0048] The control platform can view the energy storage of the energy storage unit, the production plan of the power consumption plan module, the energy storage and voltage data of the energy storage monitoring module, and the voltage data of the power grid and the user area circuit of the energy storage module, and can adjust the production plan of the power consumption plan module and the scheduling plan of the scheduling plan module;

[0049] The control platform also includes a big data module. The data collected by the big data module includes weather, user electricity consumption, electricity charges, weak power time, recovery electricity price, and production plan. By combining the above data with the data of the scheduling plan module and the energy storage allocation module through big data algorithms, the scheduling plan and energy storage allocation are optimized.

[0050] Establish a power generation unit according to the actual situation of the user, and transmit the electric energy generated by the power generation unit to the energy storage unit;

[0051] The establishment of the power generation unit specifically requires certain layout adjustments according to the user's location and floor area. For example, if the area where the user is located has sufficient sunlight, solar panels are used for power generation. Or, if the area where the user is located not only has sufficient sunlight but also has wind resources, then a combination of solar panels and wind can be used for power generation. The specific power generation unit needs to be combined with the actual situation of the user to improve the utilization rate of resources.

[0052] One workshop corresponds to the establishment of a set of power generation units and a set of energy storage units.

[0053] Upload the quantity and parameters of the equipment used in the production plan and the equipment startup time to the power consumption plan module, and the power consumption plan module calculates the power consumption plan data according to the quantity and parameters of the equipment;

[0054] For example, in the production plan, it is required to produce 3000 pieces of a certain product starting from the 20th, and 3 pieces of equipment are needed to produce for two days. According to the 8-hour working system, 6 shifts are required. In the power consumption plans of the 20th and 21st, these three pieces of equipment need to run for 24 hours. For example, the power of a single equipment is 15 kW;

[0055] Power consumption = equipment power × power consumption time;

[0056] 15 kW × 24 h = 360 kWh

[0057] The above is the power consumption of a single equipment, and the total power consumption of three pieces of equipment is 1080 kWh.

[0058] Through the big data module of the control platform, combined with the scale of the power generation unit and the weather conditions of the day, an estimated power generation amount of the power generation unit for the day is formed, and the estimated power amount is uploaded to the scheduling plan module;

[0059] The energy storage monitoring module of the energy storage unit uploads the power data of the storage module to the scheduling plan module,

[0060] The scheduling plan module makes a scheduling plan according to the remaining power in the energy storage module and the power consumption plan data, which can be divided into three modes: load mode, normal mode, and low load mode;

[0061] If the load mode is that the startup ratio of user-side equipment is ≥90% and the general startup time of the day is ≥80%, the energy storage module needs to be replenished through the power grid at night of the previous day, that is, from 9 pm to 6 am the next day.

[0062] The power grid is used for power supply during the day, and the fully loaded energy storage modules are used as backup storage.

[0063] At night, the energy stored in the energy storage module will be consumed, and 60%-80% can be consumed, leaving 20%-40% as backup energy storage, and the energy storage module will be fully replenished by the power generation unit the next day. In load mode, since all equipment is started, the load pressure on the regional power grid is relatively large. The power generation unit directly transmits the generated electricity to the power grid, which can reduce the voltage pressure of the regional power grid and ensure the voltage safety of the equipment in the regional power grid. At the same time, when the power grid pressure is high, the power supply switching is reduced to avoid the occurrence of safety hazards.

[0064] Normal mode means that the proportion of user-side equipment turned on is ≥70% (<90%), and the general working time on the day is ≥60% (<80%). During the night of the previous day, that is, from 9 pm to 6 am the next day, the energy storage module is replenished through the power grid, and the energy storage module is started at 6 am on the same day to consume its electricity;

[0065] The support time of the energy storage module needs to be calculated based on the energy storage capacity of the energy storage module and the power consumption per hour of all devices on the user side. The time can be based on the consumption of the energy storage module within 2-3 hours.

[0066] After the energy stored in the energy storage module is consumed, the power supply is switched from the energy storage module to the grid;

[0067] While the energy storage unit is supplying power, the power generation unit can directly transmit the electricity generated by the production unit to the power grid in exchange for electricity prices. After the energy stored in the energy storage module is completely consumed, the power generation unit will replenish the energy storage module, and after the energy storage module has completed replenishment, the power generated by the power generation unit will be transmitted to the power grid.

[0068] At 6 pm on the same day, the energy storage module is switched to supply power again, and the energy replenished by the power generation unit to the energy storage module is consumed.

[0069] Since some of the company's equipment is not fully turned on, its load on the power grid will be smaller than in load mode. Switching the power supply under this condition can reduce voltage fluctuations and prevent voltage fluctuations from exceeding the equipment voltage range.

[0070] The low-load mode means that the proportion of user-side devices turned on is ≥50% (<70%), and the proportion of the general power-on time of the day is ≥40% (<60%). Usually, in the low-load mode, production equipment is relatively concentrated at night because the electricity price is cheap at night. During the night of the previous day, that is, from 9 pm to 6 am the next morning, the energy storage module is replenished through the power grid, and the energy storage module is started at 6 am the next day to consume its electricity;

[0071] The time that the energy storage module can support needs to be calculated according to the stored energy of the energy storage module and the electricity consumption per hour when all user-side devices are fully turned on. The time can refer to the consumption of the stored energy of the energy storage module within 3 - 6 hours.

[0072] When the stored energy of the energy storage module is consumed to 20% as standby energy storage, the power supply is switched from the energy storage module to the power grid;

[0073] While the energy storage unit is supplying power, the power generation unit can directly transmit the generated electricity of the production unit to the power grid to exchange for electricity price.

[0074] At the same time, the electricity generated by the power generation unit on the same day is not transmitted to the energy storage module;

[0075] The energy storage of the energy storage module is replenished through the power grid at night on the same day.

[0076] Using the energy storage unit as standby energy storage, in case of emergency power failure or unstable grid voltage, it can take over the power supply to avoid the impact of direct power failure on the running equipment. At the same time, according to the dispatching plan, production is set at night to reduce the electricity cost, and the energy storage unit is replenished by the power generation unit during the day.

[0077] In the above three modes, the specific time can be adjusted according to the storage distribution module.

[0078] It should be noted that the above three modes are mainly to reduce the frequency of switching power sources, because power supply switching may cause voltage fluctuations, which may exceed the normal operating voltage range of the equipment, thus affecting the performance and lifespan of the equipment. There may also be a short power supply interruption, and each switch is accompanied by a sudden change in current, which may damage the power supply system and the connected equipment.

[0079] The energy storage module detects the grid voltage. When there are multiple voltage instabilities or weak power situations in the grid within a time period, for example, within 30 minutes, and the energy storage module has more than 60% of its power reserve, it will give priority to switching to the energy storage module for power supply, and record this time node through the big data module;

[0080] Since summer is the peak electricity consumption period, and industrial enterprises also tend to maintain a high level of production activities in summer, this will lead to a tight power supply in the power grid. This not only affects the power supply quality of the power grid, but also the power grid will make a decision to raise the electricity price for industrial enterprises to ensure regional electricity consumption. In the northern region, there may also be an increase in electricity consumption due to heating. Generally speaking, taking summer as an example, its time span is from July 10th to August 20th. Specifically, the peak electricity consumption occurs from 11 am to 1 pm on a single day. Usually, the regional power supply quality will be affected during the noon period. By recording this time node through the big data module and concentrating the electricity of the energy storage module between 11 am and 1 pm, the power supply pressure of the regional power grid can be greatly reduced, and at the same time, a large amount of electricity costs during the peak period can be saved, so as to achieve the purpose of optimizing the dispatching plan.

[0081] The energy storage module is installed in the user area circuit. As mentioned above, a set of power generation units and a set of energy storage units are established in a single factory building. The user area circuit represents the internal circuit of a single factory building. When there are multiple voltage instabilities or weak power situations in any factory building within a time period, there may be power hidden dangers in this factory building. Then, the power supply of this factory building needs to be switched to the corresponding energy storage unit for power supply, and power personnel are arranged to conduct power inspections.

[0082] In this way, the power supply of a single factory building can be relatively independent, avoiding the influence of its circuit problems on other factory buildings, and at the same time facilitating power personnel to conduct power fault inspections.

[0083] After the power consumption plan module calculates the power consumption plan data, the storage distribution module can arrange for the energy storage module to replenish energy at night through the power grid according to the power consumption plan data, or reserve the electricity of the energy storage module according to the power consumption plan data. For example, in a single factory building, a working section will be reserved between two batches of products for equipment maintenance, or for packaging or trimming of the previous batch of products.

[0084] The storage distribution module makes energy storage distribution for the data of the detection module. When the detection module detects that the grid voltage or current has multiple abnormalities in a short period of time, or the voltage or current of the user area circuit has multiple abnormalities in a short period of time, then the power generation unit or the power grid needs to quickly replenish energy for the energy storage module so that the energy storage module can quickly replace the grid power supply.

[0085] The storage distribution module makes energy storage distribution for the data of the big data module. The big data module includes data such as weather, user electricity consumption, electricity charges, weak power time, recycling electricity price, and production plan.

[0086] For example, if the second day is cloudy, the energy storage module is replenished through the power grid at night. If the period from 11 am to 1 pm on the second day is a period of weak synchronous power, the power of the energy storage module is reserved until the power supply is switched at 11 am to 1 pm, ensuring stable production.

[0087] Since the electricity prices for electricity consumption vary by region, some enterprises with higher electricity consumption in some regions have lower electricity bills, while some regions charge more electricity bills for enterprises in certain fields. Therefore, the charging method of electricity bills and the recovered electricity price are important bases for the big data module to optimize the dispatching plan;

[0088] For example, the electricity bill on the user side of A is divided into four stages with decreasing prices in turn. At the same time, the annual electricity consumption on the user side of A far exceeds the fourth stage. Then, in the first two stages, the energy storage module is used to reduce the electricity cost. During the peak electricity consumption period, that is, in summer when the recovered electricity price is higher, the electricity generated by the power generation unit is preferentially transmitted to the power grid, and the electricity level of the energy storage module can be set at about 60%.

[0089] The storage distribution module is a supplement to the dispatching plan module. The dispatching plan is mainly based on the energy storage data of the energy storage unit and the power consumption plan data of the power consumption plan module for dispatching. When the system is initially established and lacks a large amount of data, it operates with reference to the known and controllable data. After the system is established, the big data module completes the collection and processing of various data, combines the data collected by the big data module with the data of the dispatching plan module and the energy storage distribution module, and optimizes the dispatching plan and energy storage distribution;

[0090] For example, the weather in the big data module, rainy days, snowy days, and cloudy days will directly affect the power generation of the power generation unit. Therefore, when the energy storage of the energy storage module is 60%, but there is no power generation unit for replenishment, no power supply switching is performed in the daily dispatching plan, and the energy storage of the energy storage module is used as a backup power supply. If it rains continuously for two days, the energy storage module needs to be replenished through the power grid at night from the first day to the second day by the storage distribution module, and the energy storage of the energy storage module is consumed to 20% during the day of the second day as a backup power supply. Embodiment 2

[0091] There are two factories on the user side of B, and two sets of power generation units and two sets of energy storage units are established respectively.

[0092] Regarding the user electricity consumption data in the big data module, if the difference between the power generation of the user side of B and a single power generation unit is between 2 and 4 times, in order to reduce the power supply switching, the storage distribution module can connect the power of the two energy storage units to the power supply of any factory building, that is, one factory building always uses the power grid power supply, while the other factory building uses the power generation of the two power generation units and the energy storage of the two energy storage units, and combines the power consumption of this factory building for power grid power supply switching;

[0093] This can not only save electricity costs, but also reduce the load pressure on the regional power grid on the B user side, and at the same time reduce the frequency of power supply switching. Embodiment III

[0094] Regarding the electricity consumption cost data in the big data module, the electricity cost at night is often lower than that during the day. Therefore, in the low-load mode, part of the production is arranged at night through the scheduling plan module; since the electricity consumption production is concentrated at night and the storage module cannot consume it during the day, the storage allocation module will no longer arrange for the storage module to be replenished at night.

[0095] Regarding the recovered electricity price data in the big data module, since the recovered voltage of the power grid also fluctuates, when the recovered electricity price is high, the electric energy of the power generation unit is preferentially transmitted to the power grid. Since the energy loss of the power generation unit transmitted to the power grid is relatively small, about 5%, while the energy replenishment loss of the power generation unit to the energy storage module is relatively large, about 20%.

[0096] Preferentially transmitting the generated electricity to the power grid can save costs and stabilize the regional voltage at the same time. Because the situations where the recovered electricity price increases mostly occur during peak electricity consumption periods or when the power generation is insufficient, both of these situations will affect the voltage stability of the regional power grid. Therefore, by uploading the electricity generated by the power generation unit, the voltage within the region can be stabilized.

[0097] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structural or equivalent process transformation made using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be similarly included in the patent protection scope of the present invention.

Claims

1. An efficient energy storage management system on the user side based on big data, characterized in that The user-side efficient energy storage management system includes a power generation unit, an energy storage unit, a control platform, a power consumption plan module, and a scheduling plan module; The power generation unit uses power generation components to generate electric energy and transmits the electric quantity to the energy storage unit; The energy storage unit includes an energy storage module, an energy storage monitoring module, and an energy storage distribution module; The control platform views the energy storage of the energy storage unit, the production plan of the power consumption plan module, the energy storage and voltage data of the energy storage monitoring module, and the voltage data of the power grid of the energy storage module and the user area circuit, and adjusts the production plan of the power consumption plan module and the scheduling plan of the scheduling plan module; The control platform further includes a big data module. The data collected by the big data module includes weather, user power consumption, electricity bills, weak power time, recovery electricity price, and production plan. Through big data algorithms, the above data is combined with the data of the scheduling plan module and the energy storage distribution module to optimize the scheduling plan and energy storage distribution; For each factory building on the user side, a set of power generation units and a set of energy storage units are established; Electric energy is stored through the energy storage module, and the power quantity data of the storage module is monitored through the energy storage monitoring module. The storage distribution module makes energy storage distribution according to the data of the power consumption plan module, the detection module, and the big data module; The energy storage module detects the voltage of the power grid and the voltage of the user area circuit; The power consumption plan module calculates the power consumption plan data based on the number and parameters of the equipment used in the production plan and the equipment startup time; The scheduling plan module combines the power consumption plan data and performs scheduling according to the energy storage data of the energy storage unit and the power consumption plan data of the power consumption plan module to form a scheduling plan; After the power consumption plan module calculates the power consumption plan data, the storage distribution module arranges for the energy storage module to replenish energy through the power grid at night according to the power consumption plan data, or reserves the power quantity of the energy storage module according to the power consumption plan data.

2. The efficient energy storage management system on the user side based on big data according to claim 1, characterized in that, The scheduling plan module makes a scheduling plan according to the remaining power quantity in the energy storage module and the power consumption plan data, which is divided into three modes: load mode, normal mode, and low-load mode; In the load mode, the energy storage module is replenished through the power grid at night, and the electric energy generated by the production unit is directly transmitted to the power grid during the day of the same day. The energy storage of the energy storage module is consumed before the night of the same day, and the standby energy storage is retained. And the energy storage module is fully replenished by the power generation unit on the next day; In the normal mode, the energy storage module is replenished through the power grid at night, and the energy storage module is started to consume its power quantity during the day of the same day. After the energy storage of the energy storage module is consumed, the power supply is switched from the energy storage module to the power grid; While the energy storage unit is supplying power, the power generation unit directly transmits the generated electric energy of the production unit to the power grid. After the energy storage of the energy storage module is completely consumed, the energy storage module is replenished by the power generation unit, and after the energy storage module is replenished, the generated power of the power generation unit is transmitted to the power grid again; Before the night of the same day, the power supply of the energy storage module is switched again to consume the replenishment of the energy storage module by the power generation unit on the same day; In the low-load mode, the production equipment starts at night. On the night before the day of the same day, the energy storage module is replenished through the power grid, and when the energy storage of the energy storage module is consumed to the standby energy storage, the power supply is switched from the energy storage module to the power grid; The power generation unit directly transmits the generated electricity of the production unit to the power grid while the energy storage unit supplies power. During the night of the same day, the energy storage of the energy storage module is replenished through the power grid.

3. An efficient energy storage management system for the user side based on big data according to claim 1, characterized in that The energy storage module detects the grid voltage. When the grid voltage is unstable or the power is weak multiple times within a time period and the energy storage module has a power reserve of more than 60%, the power supply is preferentially switched to the energy storage module, and this time node is recorded through the big data module.

4. An efficient energy storage management system on the user side based on big data according to claim 3, characterized in that, The energy storage module is installed in the user area circuit. When any workshop has unstable voltage or weak power multiple times within a time period, the power supply of this workshop is switched to the corresponding energy storage unit for power supply.

5. An efficient energy storage management system on the user side based on big data according to claim 3 or 4, characterized in that, The storage distribution module performs energy storage distribution on the data of the detection module. When the detection module detects that the grid voltage or current has multiple anomalies in a short period of time, or the voltage or current in the user area circuit has multiple anomalies in a short period of time, the energy storage module needs to be quickly replenished with energy through the power generation unit or the power grid so that the energy storage module can quickly replace the grid power supply.

6. The efficient energy storage management system on the user side based on big data according to claim 1, characterized in that, The user-side high-efficiency energy storage management system establishes two sets of power generation units and two sets of energy storage units according to two workshops on the user side; The power of the two energy storage units is connected to the power supply of any workshop through the storage distribution module. Then, one workshop always uses the grid power supply, while the other workshop uses the power generation of the two power generation units and the energy storage of the two energy storage units for power supply, and the grid power supply is switched in combination with the power consumption of this workshop.

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