Cloud end and edge end collaborative energy management system and method

Abstract

The embodiment of the invention provides a cloud end and edge end collaborative energy management system and method. An energy management platform is used for monitoring and controlling operation of the whole system. The master control EMS is used for receiving an operation strategy issued by the energy management platform, formulating an operation scheme according to the operation strategy, controlling all energy storage devices in the system according to the operation scheme, collecting data of each station EMS and transmitting the data to the energy management platform; and the site EMS is configured at each energy storage device and is used for receiving the operation scheme issued by the master control EMS, controlling each execution unit in the energy storage device according to the operation scheme, collecting data of each execution unit and transmitting the data to the master control EMS. The whole system can be combined with a cloud algorithm, adjust the working load through electricity peak time discharging and electricity valley time charging, judge the future electricity consumption condition, adjust the electric quantity of the battery module in time, improve the benefits generated by photovoltaic equipment and avoid unnecessary loss.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of electronic control strategy technology for energy storage systems, and in particular to a cloud-edge collaborative energy management system and method. Background Technology

[0002] Currently, the national electricity pricing system for large industrial users is a two-part tariff, which consists of three main parts: a basic electricity price, a per-unit electricity price, and a power factor adjustment charge. The total electricity bill is calculated as follows: Total Electricity Bill = Basic Electricity Price + Per-Unit Electricity Price + Power Factor Adjustment Charge + Additional Charges (including energy surcharges, peak-valley charges, etc.). For industrial electricity, the per-unit electricity price differs between peak, off-peak, and valley periods, resulting in a significant price difference for the same power output. Therefore, energy storage devices often employ peak-shaving and valley-filling technologies, using energy stored during off-peak hours for peak hours. During off-peak and normal periods, the energy storage device charges and stores energy; during peak hours, it releases the stored energy for external use, reducing electricity consumption on the grid. This allows for two charge-discharge cycles per day. By utilizing the price difference between peak and off-peak periods, storing energy during off-peak hours and releasing it during peak hours, peak-shaving and valley-filling are achieved, reducing customers' electricity bills.

[0003] Currently, mainstream energy storage devices simply charge and discharge according to a set power value. This power generation during charging and discharging can impact a company's basic electricity billing. When charging, the power generated by the energy storage device, combined with the power consumed by the customer's device, may exceed the capacity of the customer's transformer, leading to hefty fines from the power company. If the customer pays electricity on a demand-based basis, this may also increase their maximum monthly electricity demand, resulting in additional basic charges. During discharging, if the customer's device usage is low, excess energy may be transmitted back to the grid, creating reverse current and affecting the stability of the power grid. Therefore, refining the charging and discharging process of energy storage devices and adjusting the power in real time based on customer usage is a pressing issue for the energy storage industry.

[0004] With my country's urgent need to achieve carbon peaking and carbon neutrality, clean energy is playing an increasingly important role in the energy supply side. Green energy projects such as wind and solar power are experiencing large-scale development, and more and more photovoltaic (PV) equipment is being applied across various industries. During the day, when PV equipment is operating normally, the electricity generated is used for normal production. When there is surplus electricity, it is fed back to the grid through existing power supply circuits to generate revenue. Currently, most PV equipment on the market is power generation equipment, using sunlight to convert into electricity for internal use. However, due to variations in sunlight intensity, the amount of electricity generated by PV equipment can differ significantly, potentially leading to the following two abnormal situations: 1. When there is sufficient sunshine, photovoltaic equipment generates a high amount of electricity. After supplying the power, there is still a lot of surplus electricity that can only be fed back to the grid, which is expected to greatly reduce the expected returns. Moreover, the voltage on the grid side is constant. Excessive reverse transmission of electricity will cause excessive current in the entire power supply network, reducing the stability of the power supply network. If the current is too high, it may also trigger the overcurrent protection of the grid-side transformer, damaging the transformer and causing power outages in some areas.

[0005] 2. When there is insufficient sunlight, the electricity generated by photovoltaic equipment is insufficient to supply the power supply, forcing the equipment to draw electricity from the grid at high prices. Prices will be even higher during peak periods, resulting in additional electricity costs. In extreme cases such as power rationing, there may be no electricity available, which will greatly affect the production efficiency of the manufacturing industry and cause unnecessary economic losses.

[0006] Improving the efficiency of photovoltaic equipment, avoiding unnecessary losses, and ensuring the stability of the power supply network are among the key issues that need to be addressed in the development of photovoltaic energy storage equipment.

[0007] In view of this, the embodiments of this specification aim to provide a cloud-edge collaborative energy management system and method. Summary of the Invention

[0008] In view of the above-mentioned problems in the prior art, the purpose of the embodiments of this specification is to provide a cloud-edge collaborative energy management system and method.

[0009] The specific technical solutions of the embodiments in this specification are as follows: In one aspect, the embodiments of this specification provide a cloud-edge collaborative energy management system, including an energy management platform, a master control EMS, and a site EMS; The energy management platform is used to monitor and control the operation of the entire system, including system status monitoring, operation strategy distribution, and data acquisition and transmission. The main control EMS is used to receive the operation strategy issued by the energy management platform, formulate the operation plan according to the operation strategy, and control all energy storage devices in the system according to the operation plan. At the same time, it collects the data of the site EMS of each energy storage device and transmits it to the energy management platform. The site EMS is configured at each energy storage device to receive the operation plan issued by the main control EMS, control each execution unit in the energy storage device according to the operation plan, and collect data from each execution unit and transmit it to the main control EMS.

[0010] Specifically, the energy storage device includes an equipment compartment, a battery compartment, and a power distribution compartment; The equipment compartment is located on one side of the energy storage device, and the equipment compartment includes at least an AC / DC inverter, a high-voltage box, and a liquid cooling unit. The battery compartment and the equipment compartment are located on the same side of the energy storage device, and the battery compartment is used to store battery modules. The power distribution compartment is located on the other side of the energy storage device. The power distribution compartment includes at least an incoming circuit breaker and an outgoing circuit breaker. The power distribution compartment can be integrated and connected with photovoltaic power generation equipment, diesel power generation equipment, and transformer line switches.

[0011] Preferably, the battery module is equipped with a process control unit and a battery management unit; The process control system is used to control the operating power of each battery pack in the battery module; The battery management system is used to control the on / off state of the relays in each battery pack within the battery module, and to collect the operating data of each battery pack.

[0012] Secondly, embodiments of this specification provide a cloud-edge collaborative energy management method, which is applied to a cloud-edge collaborative energy management system as provided in the above technical solution. The method includes: The main control EMS receives photovoltaic control strategies issued by the energy management platform; The main control EMS calculates the power used by the user's load side based on the photovoltaic control strategy and the data obtained from the EMS of each site, the total meter power and the photovoltaic side meter power. The main control EMS determines whether the photovoltaic power generation is greater than the power used by the user's load side, the sum of the rechargeable power of the energy storage devices corresponding to each site's EMS and the grid-connected power; If so, the main control EMS sends a photovoltaic power generation limitation scheme to the energy storage device.

[0013] The method further includes: If not, the main control EMS determines whether the photovoltaic power generation is greater than the sum of the power used by the user's load side and the rechargeable power of the energy storage devices corresponding to each site EMS; If so, the main control EMS sends the power generation and grid connection follow-up scheme to the energy storage device-side site EMS.

[0014] Specifically, the method further includes: If not, the current time period is input into a pre-trained time period judgment neural network to output the time period judgment result, wherein the time period judgment neural network is trained based on the historical power consumption data of the user-side electrical equipment; If the output time period determination result is a period of low-voltage electricity, the main control EMS sends a preset charging plan to the EMS of the energy storage device side site.

[0015] Furthermore, if the output time period determination result is a peak power period, the method further includes: Determine whether the photovoltaic power generation capacity is greater than or equal to the power used by the customer's load side; If so, the main control EMS sends the peak charging follow-up scheme to the energy storage device-side site EMS; If not, the main control EMS sends a peak discharge compensation scheme to the energy storage device-side site EMS.

[0016] Preferably, the main control EMS calculates the power used by the user's load side based on the photovoltaic control strategy and the data obtained from the EMS of each site, the total meter power, and the photovoltaic side meter power, further as follows: The main control EMS calls the pre-trained power calculation model and inputs the photovoltaic control strategy, the pre-processed data of each site's EMS, the total meter power, and the photovoltaic side meter power into the power calculation model; Receive the power used by the user load side output by the power calculation model.

[0017] Thirdly, embodiments of this specification provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method provided by the above-described technical solution.

[0018] Fourthly, embodiments of this specification provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method provided by the above-described technical solution.

[0019] By adopting the above technical solution, the cloud-edge collaborative energy management system and method provided in the embodiments of this specification can combine cloud algorithms to adjust the workload by discharging during peak electricity consumption and charging during off-peak electricity consumption; and judge future electricity consumption to adjust the power of the battery module in a timely manner, thereby improving the efficiency of photovoltaic equipment and avoiding unnecessary losses.

[0020] To make the above and other objects, features and advantages of the embodiments of this specification more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1This specification shows a schematic diagram of the structure of a cloud-edge collaborative energy management system provided in an embodiment of the present specification; Figure 2 A schematic diagram of the energy storage device in the embodiments of this specification is shown; Figure 3 This is a schematic diagram of the energy storage device from a frontal view. Figure 4 This is a schematic diagram of the energy storage device from a rear-view perspective. Figure 5 This is a schematic diagram of the energy storage device after its outer rigid casing has been removed. Figure 6 A schematic diagram of the energy storage device with its outer rigid casing removed, viewed from the front. Figure 7 A side view schematic diagram of the energy storage device with its outer rigid casing removed. Figure 8 A schematic diagram of the voltage boosting system is shown. Figure 9 A schematic diagram of the integrated photovoltaic, energy storage, diesel, and charging system is shown. Figure 10 This specification illustrates a step diagram of a cloud-edge collaborative energy management method provided in an embodiment of the present specification. Figure 11 A comparison chart showing the peak-valley energy ratio before and after the use of the energy management system during a certain period is shown; Figure 12 The chart shows a comparison of actual electricity bills before and after the use of the energy management system during a certain period. Figure 13 A schematic diagram of the structure of a computer device provided in an embodiment of this specification is shown.

[0023] Explanation of symbols in the attached drawings: 100. Energy storage equipment; 10. Equipment Warehouse; 11. AC / DC inverter; 12. High-voltage box; 13. Liquid-cooled unit; 14. Control power supply compartment; 15. Interactive interface; 20. Battery compartment; 21. Battery module; 30. Power distribution warehouse; 31. Incoming circuit breaker; 32. Outgoing circuit breaker; 40. Ceiling; 1302. Computer equipment; 1304. Processor; 1306. Memory; 1308. Drive mechanism; 1310. Input / output module; 1312. Input device; 1314. Output device; 1316. Presentation device; 1318. Graphical user interface; 1320. Network interface; 1322. Communication link; 1324. Communication bus. Detailed Implementation

[0024] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this specification.

[0025] It should be noted that the terms "first," "second," etc., used in this specification, claims, and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0026] To address the aforementioned problems, this specification provides an energy management system that integrates cloud and edge computing. Specifically, as shown in the embodiments... Figure 1 As shown, the system includes an energy management platform, a main control EMS, and a site EMS: The energy management platform is used to monitor and control the operation of the entire system. Its main functions include system status monitoring, operation strategy distribution, data collection and integration, and data uploading.

[0027] In the embodiments described in this specification, the energy management platform can monitor the operating status of each component in the system in real time, providing a visually intuitive graphical monitoring and operation interface. Customers can view the overall system operation status and fault information in real time. When an anomaly occurs in the system, the platform can upload the anomaly information locally. In the event of a major fault, the platform will provide real-time feedback to the management personnel so that they can quickly troubleshoot the fault. For data collected at the edge, the platform classifies the actual situation into corresponding preset modes and issues operating strategies in real time according to the preset modes, including energy dispatching (AC dispatching, DC dispatching, branch dispatching), peak shaving, and valley filling. For the collected data, the energy management platform will classify the data by type and site before uploading it to the cloud server. The uploaded information includes telemetry data, remote signaling data, alarm information, operation records, events, etc., which can be displayed through the cloud server platform. Historical data can also be queried locally, online, and exported as Excel reports. Mobile and web terminals can access the cloud server to obtain real-time data on the operating status and electrical parameters of each energy storage device in the management system, including but not limited to voltage, current, power, switch status, and system alarm status. The platform also provides data sharing functionality, allowing third-party systems to read and write data to the platform via Ethernet.

[0028] The master control EMS (Energy Management System) is used to receive the operation strategies issued by the energy management platform, and provide operation plans in real time based on the actual situation. It also controls all energy storage devices in the system according to the operation plans. At the same time, it is also used to collect data from the EMS of each site and transmit it to the energy management platform.

[0029] For the operational strategies issued by the energy management platform, the main control EMS collects and analyzes relevant parameters from external devices and various energy storage devices. Based on the analysis results, it determines the operational plan for each energy storage device and finally transmits the operational plan to the corresponding energy storage device for control, ensuring the efficient operation of the system's energy storage devices. When an abnormality occurs in internal operation, the main control EMS will issue corresponding control commands to eliminate the abnormality. In the event of a major fault, the main control EMS will issue a shutdown command to control the corresponding energy storage device to stop working, and simultaneously upload the fault information to the platform.

[0030] The site EMS is configured at each energy storage device, with its deployment level down to a single site (base station, substation, photovoltaic / energy storage integrated station, etc.). It is used to complete local data acquisition, communication protocol conversion, and local energy / environmental equipment management. It can be regarded as an extension or lightweight version of the "master control EMS" at the edge. It is used to receive the operation plan issued by the master control EMS, control each execution unit in the energy storage device according to the operation plan, and collect data from each execution unit and transmit it to the master control EMS.

[0031] The embodiments of this specification provide a cloud-edge collaborative energy management system that can combine cloud algorithms to adjust the workload by discharging during peak electricity consumption and charging during off-peak electricity consumption, and to judge future electricity consumption and adjust the battery module's power in a timely manner, thereby improving the efficiency of photovoltaic equipment and avoiding unnecessary losses.

[0032] In the embodiments described in this specification, the energy storage device is as follows: Figures 2 to 7 As shown, the energy storage device 100 (i.e., the energy storage device cabinet) includes an equipment compartment 10, a battery compartment 20, and a power distribution compartment 30. The equipment compartment 10 is located on one side of the energy storage device 100, and the equipment compartment 10 includes at least an AC / DC inverter 11, a high-voltage box 12, a liquid cooling unit 13, and a control power supply compartment 14. The battery compartment 20 and the device compartment 10 are located on the same side of the energy storage device 100. The battery compartment 20 is used to store the battery module 21. In this embodiment of the specification, the battery pack cells in the battery module 21 can be lithium batteries and / or sodium batteries (such as sodium iron sulfate sodium ion batteries), which can support high-rate short-time power output.

[0033] The power distribution compartment 30 is located on the other side of the energy storage device 100, and the power distribution compartment 30 includes at least an incoming circuit breaker 31 and an outgoing circuit breaker 32.

[0034] The energy storage device described in the embodiments of this specification adopts an integrated design, which can significantly reduce the footprint compared to the traditional split design, and is conducive to achieving low-cost deployment and intelligent operation and maintenance.

[0035] Specifically, in this embodiment, by modularizing and spatially rearranging the equipment compartment 10, battery compartment 20, and power distribution compartment 30, the height of the energy storage device 100 cabinet is reduced (compared to conventional energy storage cabinets exceeding 2 meters, the energy storage device provided in this embodiment can be reduced to approximately 1.7 meters in height). Due to the reduced cabinet height, the center of gravity of the energy storage device is also lowered, significantly improving stability. On-site installation simplifies ground hardening and platform construction, reducing installation costs and process complexity. Furthermore, the reduced cabinet height is more suitable for adult heights, facilitating maintenance operations such as replacing battery modules 21 within the battery compartment 20.

[0036] Furthermore, in this embodiment of the specification, the energy storage device 100 also includes a roof 40 and a rigid outer shell, which can provide protection for each execution unit inside the cabinet. The equipment compartment 10 is also provided with an interactive interface 15, so that operation and maintenance personnel can learn about the working status of each execution unit and perform corresponding intelligent operation and maintenance operations from the interactive interface 15.

[0037] In some preferred embodiments, the battery module may also be configured with a process control system and a battery system; wherein, the process control system is used to control the operating power of each battery pack in the battery module; and the battery system is used to control the on / off state of the relays of each battery pack in the battery module, and to collect the operating data of each battery pack.

[0038] In conjunction with the energy storage device 100, this specification also provides a voltage boosting system, such as... Figure 8 As shown.

[0039] The voltage boosting system has three levels on its low-voltage side (i.e., ... Figure 8 As shown, the system includes an electrical combiner cabinet, a battery energy storage cabinet, and a step-down electrical cabinet. The electrical combiner cabinet can be connected to the distribution compartment 30 of the energy storage equipment for integration. The high-voltage side has two levels (including a step-up electrical cabinet and a transformer substation), offering six combinations to meet customer needs for voltage boosting on-site. It supports low-voltage long-distance power transmission up to 2000 meters. Specifically, the power supply specifications involve first boosting the low-voltage 400V to approximately 1000V while meeting the insulation requirements of the voltage cable, then reducing it back to 400V at the cable end to meet the equipment's power supply voltage requirements. Combined with dynamic adjustments using the platform's voltage detection device, this ensures optimal equipment operation.

[0040] Figure 9 The diagram shown is a structural schematic of an integrated photovoltaic, energy storage, diesel, and charging system. Figure 9As shown, the outgoing switch of the energy storage cabinet (i.e., the outgoing circuit breaker 32 of the energy storage device 100) can output the stored electrical energy to the busbar; and it is connected to the grid with the transformer inertial switch (equivalent to the mains power), the photovoltaic grid-connected switch, and the diesel generator grid-connected switch to supply power to each power consumer. This is the cloud-edge collaborative energy management system provided in the embodiments of this specification, in which the energy storage device can be connected to the integrated photovoltaic-storage-diesel-charging system. In grid-connected mode, it can stably supply power to each power consumer; in off-grid mode, the stored energy of the energy storage device's own battery module is also efficiently linked with the photovoltaic and diesel generators to ensure the rational utilization of system power and reduce the cost of diesel power generation.

[0041] like Figure 10 The diagram illustrates the steps of a cloud-edge collaborative energy management system method according to an embodiment of this specification. It should be noted that while this specification provides the operational steps described in the embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive methods. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible order. In actual system or device products, the methods shown in the embodiments or accompanying drawings can be executed sequentially or in parallel. Figure 10 As shown, the method may include: S1001: The main control EMS receives photovoltaic control strategies issued by the energy management platform.

[0042] S1002: The main control EMS calculates the power used by the user's load side based on the photovoltaic control strategy and the data obtained from the EMS of each site, the total meter power and the photovoltaic side meter power.

[0043] Among them, the data from each site's EMS is the power data of the energy storage equipment side in the integrated photovoltaic-storage-diesel-charging system; the total meter power is the power data of the transformer line switch side in the integrated photovoltaic-storage-diesel-charging system; and the photovoltaic side meter power is the power data of the photovoltaic grid-connected side in the integrated photovoltaic-storage-diesel-charging system. Combining the data from multiple sources, the main control EMS can calculate the power usage data of the user's load side (i.e., the power usage data at the electricity consumption end).

[0044] That is, when the energy storage device discharges: P 用户负载侧使用功率 = P 总电表功率 +P 光伏侧电表功率 +P 储能设备功率 ; And when the energy storage device is charging: P 储能设备 +P 用户负载侧使用功率 = P 总电表功率 +P 光伏侧电表功率 ; It should be noted that both mains power and diesel generators belong to the power source category. In grid-connected systems, one of them is chosen. Here, the energy storage device is connected to the mains power and disconnected from the diesel generator (forming a photovoltaic-storage-charging system), thus the main control EMS does not obtain power data from the diesel generator side. Similarly, when the energy storage device is disconnected from the mains power, the main control EMS will obtain power data from the diesel generator side, instead of obtaining the total meter power data from the mains power side.

[0045] In some feasible embodiments, a power calculation model can be pre-built; historical operating data of EMS, historical total power data, historical photovoltaic output power data, and corresponding historical user load power of each site can be collected as training datasets; the power calculation model can be trained using the training datasets. This power calculation model can adopt a reinforcement learning mechanism, with photovoltaic control strategy as the constraint condition, and continuously interact with the environment and update the strategy network parameters. For example, an incremental Kalman filter can be used to perform rolling error correction on the output results, so that the model has the ability to infer the power of the user load side based on real-time input data.

[0046] After training is completed, the photovoltaic control strategy and the preprocessed EMS data of each site, the total meter power and the photovoltaic side meter power are input into the power calculation model to obtain the user load side power output by the power calculation model.

[0047] By using a pre-built neural network, it is possible not only to calculate the power consumption of users' load side based on real-time EMS data, total meter power, and photovoltaic meter power, but also to combine historical data, thereby avoiding the randomness and instantaneous fluctuations in the calculation of power consumption on the user's load side.

[0048] S1003: The main control EMS determines whether the photovoltaic power generation is greater than the power used by the user's load side, the sum of the rechargeable power of the energy storage equipment corresponding to each site EMS and the grid-connected power.

[0049] In the embodiments of this specification, the grid connection limit refers to the upper limit of the power generated and connected to the grid.

[0050] S1004: If so, the main control EMS sends a photovoltaic power generation limitation scheme to the energy storage device-side site EMS.

[0051] This indicates that the photovoltaic power generation is relatively large at this time, not only meeting the power needs of user-side electrical equipment and other loads, but also exceeding the grid connection limit even after storing the excess electricity in the energy storage device. Therefore, it is necessary to limit the power generation at this time. It should be noted that in the embodiments of this specification, the control bus of the photovoltaic power generation device is also integrated and connected with the distribution compartment of the energy storage device. Therefore, when the main control EMS sends the photovoltaic power generation limitation scheme to the energy storage device, it can cause some photovoltaic power generation devices to suspend operation to achieve the power generation limitation effect.

[0052] like Figure 10 As shown, the method further includes: S1005: If not, the main control EMS determines whether the photovoltaic power generation is greater than the sum of the power used by the user load side and the rechargeable power of the energy storage devices corresponding to each site EMS.

[0053] S1006: If so, the main control EMS sends the power generation and grid connection follow-up scheme to the energy storage device side site EMS.

[0054] This means that the power generated by the photovoltaic power generation side is sufficient for the user-side electrical equipment, and there is still a small surplus after storing the excess power in the energy storage device. Since the power consumption of the user-side electrical equipment changes dynamically, a grid-following scheme is sent to the energy storage device so that the energy stored in the energy storage device follows the power consumption of the user-side electrical equipment; the power generated by the power generation equipment is first used by the user-side electrical equipment, and then stored in the energy storage device.

[0055] S1007: If not, input the current time period into the pre-trained time period judgment neural network to output the time period judgment result, wherein the time period judgment neural network is trained based on historical user-side power consumption data.

[0056] In the embodiments of this specification, the time period determination is not simply based on the time of day (e.g., 08:00-11:00, 13:00-15:00, and 18:00-21:00 are peak periods); instead, it is based on historical electricity consumption data (e.g., electricity consumption data for the same area over the past half month, month, three months, or the same month of the same year, quarter, and year, for the current time period) to determine whether the electricity consumption of the user-side electrical equipment belongs to the peak or off-peak period, which enables more accurate division of time periods and precise control of power generation and consumption.

[0057] S1008: If the output time period determination result is the off-peak electricity period, the main control EMS sends a preset charging scheme to the energy storage device side station EMS.

[0058] S1009: If the output time period determination result is a peak power period, then determine whether the photovoltaic power generation is greater than or equal to the power used by the customer's load side.

[0059] S1010: If so, the main control EMS sends the peak charging follow-up scheme to the energy storage device side station EMS.

[0060] S1011: If not, the main control EMS sends the peak discharge compensation scheme to the energy storage device side site EMS.

[0061] In other words, if the current period is a peak power period, and the power generation of the generator can meet the needs of the user-side electrical equipment, then the energy storage device will store the remaining power along with the power generation equipment; if it cannot meet the needs, the energy storage device will discharge to supply power to the user-side electrical equipment together with the generator.

[0062] The embodiments of this specification provide a cloud-edge collaborative energy management method that can learn the power consumption habits of electrical devices through neural networks, reduce the number of charging and discharging switching of devices, and optimize the discharge curve while ensuring that the energy storage system has surplus power.

[0063] like Figure 11 The figure shows a comparison of peak and off-peak energy usage before and after using the energy management system during a certain period. As shown, between April 14th and April 20th, 2023, compared to not using the cloud-edge collaborative energy management method for the energy management system provided in this specification, the proportion of peak electricity usage decreased significantly after using the system, while off-peak and flat-peak electricity usage increased significantly. Based on local electricity rates, the peak electricity rate is 1.1849 yuan / kW·h, the off-peak rate is 0.3202 yuan / kW·h, and the flat-peak rate is 0.7087 yuan / kW·h. This means that replacing 100 kWh of peak electricity with off-peak electricity can save customers 86.47 yuan in electricity costs, and replacing it with flat-peak electricity can save customers 47.62 yuan in electricity costs.

[0064] like Figure 12 As shown, between April 1st and April 17th, 2023, if the energy management system and its management methods were not used, the customer's basic electricity bill would have included a demand of 158.61 kVA. After using the energy management system and its management methods, the demand was reduced to 147.48 kVA through load following and discharge supplementation. Based on the local charging standard of 40 yuan / kVA, using the energy management system helped the customer reduce their basic electricity bill by 459.2 yuan.

[0065] like Figure 13The illustration shows a computer device provided in an embodiment of this specification, executing the cloud-edge collaborative energy management system method provided in this specification. The computer device 1302 may include one or more processors 1304, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads. The computer device 1302 may also include any memory 1306 for storing information of any kind, such as code, settings, data, etc. Non-limitingly, for example, the memory 1306 may include any type of RAM, any type of ROM, flash memory, hard disk, optical disk, etc. More generally, any memory can use any technology to store information. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent a fixed or removable component of the computer device 1302. In one case, when the processor 1304 executes associated instructions stored in any memory or combination of memories, the computer device 1302 may perform any operation of the associated instructions. The computer device 1302 also includes one or more drive mechanisms 1308 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0066] Computer device 1302 may also include an input / output module 1310 (I / O) for receiving various inputs (via input device 1312) and providing various outputs (via output device 1314). A specific output mechanism may include a presentation device 1316 and an associated graphical user interface (GUI) 1318. In other embodiments, the input / output module 1310 (I / O), input device 1312, and output device 1314 may be omitted, and the device may function solely as a computer device within a network. Computer device 1302 may also include one or more network interfaces 1320 for exchanging data with other devices via one or more communication links 1322. One or more communication buses 1324 couple the components described above together.

[0067] Communication link 1322 can be implemented in any way, such as via a local area network, a wide area network (e.g., the Internet), a point-to-point connection, or any combination thereof. Communication link 1322 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.

[0068] Corresponding to, for example Figure 10 In addition to the method shown, embodiments of this specification also provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the above-described method.

[0069] This specification also provides computer-readable instructions, wherein when a processor executes the instructions, the program therein causes the processor to perform the following... Figure 10 The method shown.

[0070] This specification also provides a computer program product, including at least one instruction or at least one program segment, wherein the at least one instruction or the at least one program segment is loaded and executed by a processor to achieve the following: Figure 10 The method shown.

[0071] It should be understood that in the various embodiments of this specification, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this specification.

[0072] It should also be understood that, in the embodiments of this specification, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this specification generally indicates that the preceding and following related objects have an "or" relationship.

[0073] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this specification can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this specification.

[0074] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0075] In the several embodiments provided in this specification, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, devices, or units, or they may be electrical, mechanical, or other forms of connection.

[0076] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments described in this specification, depending on actual needs.

[0077] Furthermore, the functional units in the various embodiments of this specification can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0078] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this specification, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this specification. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0079] This specification uses specific embodiments to illustrate the principles and implementation methods of this specification. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this specification. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this specification. Therefore, the content of this specification should not be construed as a limitation of this specification.

Claims

1. A cloud-edge collaborative energy management system, characterized in that, This includes the energy management platform, the main control EMS, and the site EMS; The energy management platform is used to monitor and control the operation of the entire system, including system status monitoring, operation strategy distribution, and data acquisition and transmission. The main control EMS is used to receive the operation strategy issued by the energy management platform, formulate the operation plan according to the operation strategy, and control all energy storage devices in the system according to the operation plan. At the same time, it collects the data of the site EMS of each energy storage device and transmits it to the energy management platform. The site EMS is configured at each energy storage device to receive the operation plan issued by the main control EMS, control each execution unit in the energy storage device according to the operation plan, and collect data from each execution unit and transmit it to the main control EMS.

2. The system according to claim 1, characterized in that, The energy storage device includes an equipment compartment, a battery compartment, and a power distribution compartment; The equipment compartment is located on one side of the energy storage device, and the equipment compartment includes at least an AC / DC inverter, a high-voltage box, and a liquid cooling unit. The battery compartment and the equipment compartment are located on the same side of the energy storage device, and the battery compartment is used to store battery modules. The power distribution compartment is located on the other side of the energy storage device. The power distribution compartment includes at least an incoming circuit breaker and an outgoing circuit breaker. The power distribution compartment can be integrated and connected with photovoltaic power generation equipment, diesel power generation equipment, and transformer line switches.

3. The system according to claim 2, characterized in that, The battery module is equipped with a process control unit and a battery management unit; The process control system is used to control the operating power of each battery pack in the battery module; The battery management system is used to control the on / off state of the relays in each battery pack within the battery module, and to collect the operating data of each battery pack.

4. A cloud-edge collaborative energy management method, characterized in that, The method is applied to the cloud-edge collaborative energy management system as described in any one of claims 1 to 3, and the method includes: The main control EMS receives photovoltaic control strategies issued by the energy management platform; The main control EMS calculates the power used by the user's load side based on the photovoltaic control strategy and the data obtained from the EMS of each site, the total meter power and the photovoltaic side meter power. The main control EMS determines whether the photovoltaic power generation is greater than the power used by the user's load side, the sum of the rechargeable power of the energy storage devices corresponding to each site's EMS and the grid-connected power; If so, the main control EMS sends a photovoltaic power generation limitation scheme to the energy storage device.

5. The method according to claim 4, characterized in that, The method further includes: If not, the main control EMS determines whether the photovoltaic power generation is greater than the sum of the power used by the user's load side and the rechargeable power of the energy storage devices corresponding to each site EMS; If so, the main control EMS sends the power generation and grid connection follow-up scheme to the energy storage device-side site EMS.

6. The method according to claim 5, characterized in that, The method further includes: If not, the current time period is input into a pre-trained time period judgment neural network to output the time period judgment result, wherein the time period judgment neural network is trained based on the historical power consumption data of the user-side electrical equipment; If the output time period determination result is a period of low-voltage electricity, the main control EMS sends a preset charging plan to the EMS of the energy storage device side site.

7. The method according to claim 6, characterized in that, If the output time period determination result is a peak power period, the method further includes: Determine whether the photovoltaic power generation capacity is greater than or equal to the power used by the customer's load side; If so, the main control EMS sends the peak charging follow-up scheme to the energy storage device-side site EMS; If not, the main control EMS sends a peak discharge compensation scheme to the energy storage device-side site EMS.

8. The method according to claim 4, characterized in that, Based on the photovoltaic control strategy and the data obtained from the EMS at each site, the total meter power, and the photovoltaic-side meter power, the main control EMS calculates the power used by the user's load side, which is further as follows: The main control EMS calls the pre-trained power calculation model and inputs the photovoltaic control strategy, the pre-processed data of each site's EMS, the total meter power, and the photovoltaic side meter power into the power calculation model; Receive the power used by the user load side output by the power calculation model.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 4 to 9.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method as described in any one of claims 4 to 9.

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