Energy recovery method and system for energy storage power supply product

Abstract

The present invention discloses an energy recovery method and system for energy storage power supply products, including: obtaining various operation data of energy storage power supply products based on energy storage management system, determining current energy storage power, load demand and external power grid status; analyzing energy recovery demand of energy storage power supply based on current operation data, formulating energy recovery strategy; generating control instructions according to energy recovery strategy, controlling energy storage power supply products to perform corresponding energy recovery operations, thereby improving energy recovery effect of energy storage power supply.

Description

Technical Field

[0001] The present invention relates to the field of energy recovery technology, and in particular to an energy recovery method and system for an energy storage power supply product. Background Art

[0002] Energy storage power products play an important role in modern energy systems and are widely used in fields such as renewable energy power generation, industrial production and household electricity consumption. These products can effectively improve energy utilization efficiency by storing electrical energy and releasing it when needed. However, during the charging and discharging process of energy storage power supplies, a certain degree of surplus electricity is usually generated. If this surplus electricity cannot be reasonably utilized, it will not only lead to a waste of resources, but may also affect the overall efficiency of the system.

[0003] Existing technologies usually rely on simple energy management methods and cannot efficiently recycle excess power. For example, traditional energy storage power management systems lack the ability of intelligent analysis and dynamic adjustment, and can only perform simple charging and discharging operations based on preset parameters, ignoring the storage and recycling of excess power. This technical limitation leads to the following problems:

[0004] Serious waste of resources: A large amount of unused surplus electricity is directly discarded, resulting in low energy utilization. Insufficient system efficiency: The operation mode of the energy storage power supply lacks flexibility and is difficult to adjust intelligently according to external load demand and grid status. Lack of dynamic control mechanism: The existing system cannot monitor and optimize the energy recovery strategy of the energy storage power supply in real time, and it is difficult to cope with complex power usage scenarios.

[0005] Therefore, there is an urgent need for an energy recovery method and system for energy storage power supply products. Summary of the invention

[0006] The present invention provides an energy recovery method and system for an energy storage power supply product to solve the above-mentioned problems existing in the prior art.

[0007] In order to achieve the above object, the present invention provides the following technical solutions:

[0008] An energy recovery method for an energy storage power supply product, comprising:

[0009] S101: Acquire various operation data of energy storage power products based on the energy storage management system to determine the current energy storage capacity, load demand and external grid status;

[0010] S102: Analyze the energy recovery demand of the energy storage power source based on the current operation data and formulate an energy recovery strategy;

[0011] S103: Generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

[0012] Wherein, step S101 includes:

[0013] S1011: Based on the energy storage management system, various operating data of each energy storage power supply product within the monitoring range are obtained, and the operating data include the charging and discharging state, power output, voltage and current parameters and ambient temperature of the energy storage power supply;

[0014] S1012: Determine the current energy storage capacity of each energy storage power supply product within the monitoring range based on the operation data;

[0015] S1013: Determine the load demand within the monitoring range based on the operation data;

[0016] S1014: Based on the operation data, determine the current state of the external power grid, the current state of the external power grid includes parameters of the grid voltage, grid frequency, real-time electricity price and grid load.

[0017] Wherein, step S102 includes:

[0018] S1021: Compare the current energy storage capacity with a preset minimum energy storage threshold;

[0019] S1022: If the current energy storage capacity is higher than the preset minimum energy storage threshold, determine that the energy storage power supply has energy recovery capability, obtain voltage and frequency information of the external power grid, and match the output of the energy storage power supply with the energy exchange demand of the power grid;

[0020] S1023: Compare the output parameters of the energy storage power supply with the requirements of the power grid, determine the optimization strategy for energy recovery, adjust the energy recovery control strategy of the energy storage power supply based on the optimization strategy and the technical parameters of the energy storage power supply, and generate a real-time energy recovery strategy;

[0021] S1024: If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, it is determined that the energy recovery demand of the energy storage power supply is low, and the energy recovery operation is stopped.

[0022] The generating control instruction includes:

[0023] Based on the energy recovery strategy, determine the specific implementation steps of energy recovery, including the working mode adjustment and output power control of the bidirectional grid-connected inverter;

[0024] Obtaining a first pass parameter and a second pass parameter corresponding to the energy storage power supply, and predicting a first energy recovery time and a second energy recovery time corresponding to the energy storage power supply according to an average conversion efficiency of the energy storage power supply;

[0025] Obtaining a first growth rate of the current load of the power grid corresponding to the relatively efficient energy recovery direction, and determining a first energy recovery amount of the energy storage power supply based on the first growth rate, in combination with the node length of each power grid node corresponding to the relatively efficient energy recovery direction, the first energy recovery waiting time, and the preset power grid operation speed corresponding to the current period;

[0026] Obtaining a first control signal extension time corresponding to a relatively efficient energy recovery direction according to a first energy recovery amount, a first energy recovery time, a first bidirectional grid-connected inverter adjustment time, and an energy recovery start-up error of an adjacent device;

[0027] At the same time, a second growth rate of the current load of the power grid corresponding to the sub-efficient energy recovery direction is obtained, and based on the second growth rate, the node length of each power grid node corresponding to the sub-efficient energy recovery direction, the second energy recovery waiting time, and the preset operation speed of the power grid corresponding to the current period are combined to determine the second energy recovery amount of the energy storage power supply;

[0028] According to the second energy recovery amount, the second energy recovery time, the adjustment time of the second bidirectional grid-connected inverter and the energy recovery start-up error of the adjacent device, a second control signal extension time corresponding to the sub-high-efficiency energy recovery direction is obtained;

[0029] Based on the first control signal extension time and the second control signal extension time, the working mode and output power of the bidirectional grid-connected inverter corresponding to the energy recovery control strategy of the energy storage power supply are adjusted to generate a real-time energy recovery control instruction.

[0030] If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, it is determined that the energy recovery demand of the energy storage power supply is low, including:

[0031] Get the current time and determine the time interval to which the current time belongs;

[0032] When the current time is in a high load period, energy recovery operation is given priority;

[0033] When the current time is in a low load period, reduce the energy recovery strength or suspend energy recovery;

[0034] Based on the time interval to which the current time belongs and the grid load conditions, a corresponding energy recovery strategy is generated to control the energy recovery operation mode of the energy storage power supply.

[0035] Among them, when the current time is in a low load period, it includes:

[0036] When an increase in grid load demand is detected, energy recovery operation is resumed;

[0037] Dynamically adjust the start and stop conditions of energy recovery based on the changing trend of grid load;

[0038] When the grid load demand is stable, the energy storage power source is maintained in standby mode to prepare for future energy recovery needs.

[0039] If the current energy storage capacity is higher than the preset minimum energy storage threshold, it includes:

[0040] Based on the current energy storage capacity and the preset minimum energy storage threshold, the energy storage overflow ratio is obtained;

[0041] When the energy storage overflow ratio is greater than the preset value, the energy storage power source is judged to have energy recovery capability, a red mark is added to the energy topology network, and an energy recovery warning notification is sent to the energy management center;

[0042] Otherwise, it is determined that the energy storage power source is in an energy storage state, and a yellow mark is added to the energy topology network.

[0043] Among them, judging whether the energy storage power source has energy recovery capability includes:

[0044] Obtain voltage and frequency information of the external power grid and determine energy exchange requirements based on the power grid information;

[0045] Generate matching solutions corresponding to demand based on energy topology network and energy storage monitoring data;

[0046] Obtain the preset load of each time period corresponding to each matching node, and determine whether the preset load of the time period corresponding to the predicted travel time of the pending node exceeds the preset capacity of the matching node. If so, regenerate the matching plan;

[0047] Otherwise, the matching solution is sent to the corresponding area of ​​the control display page of the energy management system for display;

[0048] After confirming that the energy management personnel have adopted the matching plan, based on the current operating data of the energy storage power source, the energy storage power source is predicted to reach each section of the matching node and the corresponding time period, and a matching plan is generated;

[0049] Based on the matching scheme, each matching node is marked with a preset load on the energy topology network.

[0050] Among them, based on the energy recovery strategy, the specific implementation steps of energy recovery are determined, including:

[0051] Determine the initial operating parameters of the energy recovery system, including the operating mode of the bidirectional grid-connected inverter, the capacity of the energy storage system, the system temperature control range and load requirements, and adjust the operating mode of the bidirectional grid-connected inverter according to the current grid load status;

[0052] In the bidirectional grid-connected inverter working mode, the battery voltage and current status of the energy storage system are monitored in real time to determine whether the battery voltage of the energy storage system is lower than the preset minimum charging voltage value;

[0053] If the battery voltage of the energy storage system is lower than the preset minimum charging voltage value, the charging mode of the bidirectional grid-connected inverter is triggered, and the inverter is controlled to charge the energy storage system to ensure that the energy storage system continues to supply power under normal load;

[0054] If the battery voltage of the energy storage system exceeds the preset maximum charging voltage value, or the battery of the energy storage system reaches the rated operating current, the output power of the bidirectional grid-connected inverter is automatically adjusted to prevent the system from overcharging or overloading;

[0055] Real-time monitoring of temperature changes during system operation. If the temperature exceeds the preset threshold, the output power of the bidirectional grid-connected inverter is controlled to prevent system overheating and trigger the cooling system or shutdown protection measures;

[0056] Analyze load demand and adjust the charging and discharging strategy of the energy storage system in real time based on load changes to improve the charging and discharging efficiency of the battery and optimize the pressure and current distribution during energy recovery;

[0057] Based on the operating status of the energy storage system and changes in load demand, the control strategy of the bidirectional grid-connected inverter is optimized, and the system's charging, discharging and output power control are adjusted in real time to ensure the efficient implementation of the energy recovery strategy.

[0058] Among them, an energy recovery system of an energy storage power supply product includes:

[0059] An acquisition unit is used to acquire various operating data of energy storage power products based on the energy storage management system, and determine the current energy storage capacity, load demand and external power grid status;

[0060] A strategy formulation unit, used to analyze the energy recovery requirements of the energy storage power source and formulate an energy recovery strategy based on the current operating data;

[0061] The control instruction generation unit is used to generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

[0062] Compared with the prior art, the present invention has the following advantages:

[0063] An energy recovery method for an energy storage power supply product includes: obtaining various operating data of the energy storage power supply product based on an energy storage management system to determine the current energy storage power, load demand and external power grid status; analyzing the energy recovery demand of the energy storage power supply based on the current operating data and formulating an energy recovery strategy; generating control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations, thereby improving the energy recovery effect of the energy storage power supply.

[0064] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the present invention.

[0065] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0067] Figure 1 This is a flow chart of an energy recovery method for an energy storage power supply product in an embodiment of the present invention;

[0068] Figure 2 A flowchart for obtaining various operating data of an energy storage power supply product in an embodiment of the present invention;

[0069] Figure 3 The structure diagram of an energy recovery system of an energy storage power supply product in an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0071] An embodiment of the present invention provides an energy recovery method for an energy storage power supply product, comprising:

[0072] S101: Acquire various operation data of energy storage power products based on the energy storage management system to determine the current energy storage capacity, load demand and external grid status;

[0073] S102: Analyze the energy recovery demand of the energy storage power source based on the current operation data and formulate an energy recovery strategy;

[0074] S103: Generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

[0075] The working principle of the above technical solution is as follows: the energy storage management system obtains key data including energy storage capacity, load demand, grid status, etc. by real-time monitoring of the operating status of the equipment. For example, the remaining capacity (SOC, State of Charge) of the energy storage battery will be collected in real time by the energy storage management system. The load demand refers to the immediate demand for electricity by the equipment or user, and the state of the external power grid refers to the power supply and demand of the power grid (such as grid voltage, current, etc.). These three parameters combined provide data support for energy recovery. Assume that the current remaining capacity of the energy storage battery is 60%, the load demand is 50kW, and the power load of the external power grid is lower (for example, 40kW). At this time, the energy storage power supply can choose to start the energy recovery strategy.

[0076] The energy storage management system analyzes the need for energy recovery based on the currently acquired operating data. If the external power grid has a good balance between supply and demand or low demand, the system will determine whether the stored energy needs to be fed back to the grid based on the current energy storage capacity and load demand. For example, when the grid demand is low and the energy storage battery has sufficient power, the system will formulate an energy recovery strategy to feed back part of the power in the battery to the grid. When the power demand of the grid is low and the load demand is not enough to use all the energy storage power, the system will start the energy recovery operation to ensure that the energy in the battery returns power to the grid through the grid-connected inverter to avoid wasting the stored power.

[0077] According to the formulated energy recovery strategy, the energy storage management system generates corresponding control instructions, and feeds the electric energy in the energy storage battery back to the grid by controlling the grid-connected inverter. The grid-connected inverter is responsible for converting direct current (output of the energy storage battery) into alternating current, and ensuring that the electric energy meets the technical requirements of the grid (such as voltage, current frequency, etc.) and can be smoothly integrated into the grid. For example: control instructions include starting the grid-connected inverter and adjusting the output power (such as 10kW, 20kW, etc.) to ensure the stability of the grid voltage and current. The control system will monitor the output of the inverter in real time, adjust the conversion efficiency, and maximize the recovery efficiency.

[0078] The beneficial effects of the above technical solution are: through precise energy recovery strategies and control instructions, the overall efficiency of the energy storage system can be effectively improved. Reasonable selection of grid-connected inverters (such as high-frequency transformer inverters) can greatly improve the conversion efficiency, thereby improving the energy recovery effect of energy storage power supplies. Efficient grid-connected inverters can reduce energy losses and improve the adaptability of energy storage systems under different loads and different grid conditions. Reasonable control strategies, optimized heat dissipation system design, and efficient energy recovery processes can effectively reduce problems such as equipment overload and excessive temperature, thereby extending the service life of energy storage power supply equipment. A good heat dissipation system can prevent the inverter from being damaged due to overheating, and reduce the failure rate and maintenance cost of the equipment. Through energy recovery strategies, energy storage power supplies can more effectively utilize the stored energy and avoid the idle or wasted energy in the battery when the grid load is low. At the same time, this recovery mode helps to reduce dependence on traditional power resources and promote better utilization of renewable energy.

[0079] In another embodiment, step S101 includes:

[0080] S1011: Based on the energy storage management system, various operating data of each energy storage power supply product within the monitoring range are obtained, and the operating data include the charging and discharging state, power output, voltage and current parameters and ambient temperature of the energy storage power supply;

[0081] S1012: Determine the current energy storage capacity of each energy storage power supply product within the monitoring range based on the operation data;

[0082] S1013: Determine the load demand within the monitoring range based on the operation data;

[0083] S1014: Based on the operation data, determine the current state of the external power grid, the current state of the external power grid includes parameters of the grid voltage, grid frequency, real-time electricity price and grid load.

[0084] The working principle of the above technical solution is as follows: the energy storage management system collects the operating data of multiple energy storage power sources (such as lithium batteries, sodium-sulfur batteries, etc.) through monitoring equipment. These data include: the charging and discharging state of the energy storage power source: indicating whether the battery is charging or discharging. In the charging state, the energy storage power source absorbs external electric energy, and in the discharging state, it transmits electric energy to the load or the external power grid. Power output: the power output of the battery during the discharge process, indicating the amount of energy released by the battery. Voltage and current parameters: the output voltage and current information of the battery. The voltage and current can reflect the health status and energy status of the energy storage power source. Ambient temperature: The ambient temperature affects the working efficiency and life of the battery, so it is necessary to monitor the temperature of the location where the energy storage device is located. Assume that the system detects that the charging and discharging state of a lithium battery energy storage device is "discharging", the power output is 50kW, the voltage is 400V, the current is 125A, and the ambient temperature is 25℃. This information will be recorded in real time by the energy storage management system and used as the basis for subsequent analysis.

[0085] Based on the operating data obtained from the energy storage power supply, the energy storage management system can calculate the current energy storage capacity of the energy storage power supply. The energy storage capacity is generally expressed in kilowatt-hours (kWh), which is estimated by real-time monitoring of voltage, current, and charge and discharge status. Assuming that the voltage of an energy storage battery is 400V and the current is 125A, the current output power of the battery is 50kW (400V×125A=50,000W=50kW). If the battery is currently discharged for 1 hour, the power consumed by the battery is 50kWh.

[0086] The change of energy storage capacity is also affected by battery efficiency, charge and discharge cycle and environmental factors. Therefore, the system needs to make real-time corrections based on historical data. If a certain energy storage battery consumes 50kWh of electricity during discharge, the system will estimate the remaining capacity based on historical data and real-time monitoring, assuming that the remaining capacity is 200kWh.

[0087] In the system, load demand refers to the power requirement of a device or system that consumes electrical energy. Based on real-time power demand data, the energy storage management system can calculate the power demand of the load, and by adjusting the charge and discharge status of the energy storage power supply, ensure that the battery can provide or absorb electrical energy in a timely manner when the load demand changes. Load demand calculation: Load demand includes not only the electricity demand of households and industrial facilities, but may also include external grid load information. If the load demand is large, the system will increase the battery discharge power, otherwise it may stop discharging or start charging to store electrical energy. If the power load demand of a factory is 500kW, the energy storage management system decides to discharge 50kW based on the real-time load demand to reduce the pressure on the external grid, while keeping the battery power from being too low.

[0088] The current status of the external power grid includes parameters such as grid voltage, grid frequency, real-time electricity price and grid load. By monitoring these parameters, the energy storage management system can decide whether it needs to purchase electricity from the external grid or whether it can feed back electricity to the grid. Grid voltage and grid frequency: These parameters reflect the stability and quality of the grid. If the grid voltage or frequency is abnormal, it may cause equipment failure. At this time, the system can maintain stability by adjusting the charging and discharging strategy of the energy storage battery. Real-time electricity price: Through real-time electricity price data, the system can intelligently decide whether to store more electricity in the battery or sell electricity to the external grid to maximize economic benefits. Grid load: By monitoring the grid load, the system can determine whether it is necessary to feed back electricity or purchase electricity from the grid. If the grid voltage is 220V, the frequency is 50Hz, the real-time electricity price is 0.5 yuan per kilowatt-hour, and the grid load is 800MW, the energy storage management system will combine the current energy storage power and load demand to decide whether to discharge and provide electricity to the grid to reduce the grid load and make a profit.

[0089] The beneficial effects of the above technical solution are: by real-time monitoring of the charge and discharge state, voltage, current and ambient temperature of the energy storage power supply, the working mode of the battery can be dynamically adjusted, thereby improving the charge and discharge efficiency of the energy storage system, ensuring that the battery can operate in the best state and reducing energy loss. By analyzing the load demand and the external power grid state, the energy storage system can intelligently adjust the charge and discharge behavior of the energy storage battery, thereby helping the power grid to balance the load, reduce dependence on traditional power sources, and improve the stability and economy of the power grid. The energy storage management system can adjust the charge and discharge state of the energy storage battery according to real-time data, and quickly respond to changes in the load of the power grid or sudden power demand, thereby reducing the risk of power supply interruption or power surplus and ensuring power safety. The energy storage power supply can not only balance the difference between renewable energy (such as solar energy and wind energy) and the power grid, but also adjust the energy storage strategy according to the power grid electricity price, reduce the cost of electricity, and promote the efficient use of renewable energy. By accurately controlling the charge and discharge state of the energy storage battery and avoiding over-charge and over-discharge, the service life of the energy storage equipment can be effectively extended and the maintenance cost of the equipment can be reduced.

[0090] In another embodiment, step S102 includes:

[0091] S1021: Compare the current energy storage capacity with a preset minimum energy storage threshold;

[0092] S1022: If the current energy storage capacity is higher than the preset minimum energy storage threshold, determine that the energy storage power supply has energy recovery capability, obtain voltage and frequency information of the external power grid, and match the output of the energy storage power supply with the energy exchange demand of the power grid;

[0093] S1023: When matching the output of the energy storage power supply with the energy exchange demand of the power grid, the output parameters of the energy storage power supply are compared with the requirements of the power grid to determine the optimization strategy for energy recovery, and based on the optimization strategy and the technical parameters of the energy storage power supply, the energy recovery control strategy of the energy storage power supply is adjusted to generate a real-time energy recovery strategy;

[0094] S1024: If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, it is determined that the energy recovery demand of the energy storage power supply is low, and the energy recovery operation is stopped.

[0095] Among them, determine the optimization strategy of energy recovery, including:

[0096] The energy recovery optimization strategy includes an energy storage power supply parameter window, a power grid requirement window, and an energy recovery evaluation mechanism; wherein the energy storage power supply parameter window is used to import the output parameters of the energy storage power supply into the corresponding parameter window according to the corresponding technical specifications;

[0097] The grid requirement window is used to import the energy recovery requirements of the grid into the corresponding requirement window according to the corresponding restriction conditions;

[0098] The energy recovery evaluation mechanism is embedded in the parameter comparison set, which is used to compare and analyze the data imported into the parameter window and the requirement window, and output the matching degree;

[0099] Get the comparison data for each parameter window;

[0100] Predetermining an upper threshold and a lower threshold of an energy recovery optimization strategy corresponding to each parameter window;

[0101] According to the upper and lower thresholds, the parameter data is monitored for over-limit, and the degree of adjustment of the optimization strategy is determined based on the over-limit monitoring results;

[0102] Optimize and evaluate the energy recovery strategy according to the adjustment degree of each window to determine the final energy recovery optimization strategy;

[0103] Automatically adjust the control strategy for each parameter window according to the optimization strategy.

[0104] The working principle of the above technical solution is: the current energy storage capacity in the energy storage power supply (i.e. the available energy stored in it) is compared with a preset minimum energy storage threshold. Assume that the current capacity of a certain energy storage power supply is 50%, and its minimum energy storage threshold is set to 40%. The system determines through measurement that the current capacity is higher than the threshold, so it allows energy recovery to continue.

[0105] If the current energy storage capacity is higher than the minimum energy storage threshold, the system will determine that the energy storage power supply has energy recovery capabilities, that is, it can recover excess energy from the external power grid for storage. Next, the system will obtain key information about the external power grid, including: Voltage: the voltage level at which the power grid operates. Frequency: the rate of change of the AC power in the power grid. At the same time, the system analyzes the energy exchange requirements of the power grid to ensure that the energy storage power supply can match the needs of the power grid. For example: the voltage of the external power grid is 380V and the frequency is 50Hz. The current load of the power grid is low, and there is excess energy that needs to be stored.

[0106] Next, the system will compare the output capacity of the energy storage power supply with the requirements of the power grid in detail and formulate an optimized energy recovery strategy. This strategy needs to take into account the following factors: The technical parameters of the energy storage power supply: including the maximum charging rate, energy storage capacity, etc. The requirements of the power grid: such as the maximum energy recovery speed or restrictions allowed by the power grid. Through analysis, the system will dynamically adjust the control strategy of the energy storage power supply and generate a real-time energy recovery operation plan.

[0107] If the maximum charging power of the energy storage power source is 50kW, and the power grid allows a recovery power of 30kW, the system will adjust the charging rate of the energy storage power source to 30kW.

[0108] If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, the system will determine that the energy storage power supply has a low energy recovery demand. To avoid excessive consumption of the energy storage power supply's performance, the system will stop all energy recovery operations. When the energy storage capacity drops below 40% (below the minimum energy storage threshold), the system will stop recovering energy from the grid to avoid overloading the energy storage power supply.

[0109] Among them, the current energy storage capacity of the energy storage power supply is first monitored. If the current capacity is higher than the set minimum energy storage threshold (that is, the remaining capacity of the energy storage battery exceeds the minimum demand), it is determined that the energy storage power supply has the ability to recover energy and is ready to participate in the energy dispatch of the power grid. The energy storage battery usually has a preset minimum energy storage threshold to ensure that the system can still provide emergency power support when needed. The system then obtains real-time voltage and frequency information from the external power grid. This is because the stability of the power grid and demand changes (such as load fluctuations, frequency fluctuations, etc.) directly affect the energy output requirements of the energy storage power supply. For example, if the grid voltage is too high or too low, the system needs to adjust the output of the energy storage power supply to maintain the smooth operation of the grid. By analyzing the energy demand of the power grid (such as how much energy is needed to supplement the power grid, or the frequency value that needs to be adjusted, etc.), the system will match the output capacity of the energy storage power supply with the demand of the power grid. The output capacity of the energy storage power supply usually includes technical parameters such as maximum charging rate, discharge rate, storage capacity, etc. The system compares the output parameters of the energy storage power supply with the requirements of the power grid in detail. Specifically, the system will have two "windows" for analysis: Energy storage power supply parameter window: used to import the various technical specifications and current status of the energy storage power supply, such as maximum discharge capacity, energy storage capacity, charging and discharging efficiency, etc. Grid requirement window: used to import the energy recovery requirements and restrictions of the power grid, such as maximum recovery rate, frequency regulation requirements, voltage range, etc. Assuming that the maximum discharge capacity of the energy storage battery is 10kW, and the power grid requires 5kW of energy to be recovered per second, the energy storage power supply can match this demand by discharging. The system integrates an energy recovery evaluation mechanism, which compares and analyzes the data in the energy storage power supply and the grid requirement window to evaluate the degree of match between the two. The goal of this step is to determine whether the energy storage power supply can effectively meet the grid demand. Each "window" sets upper and lower thresholds. For example, the output capacity of the energy storage power supply cannot exceed a certain maximum power, otherwise it may cause equipment overload or grid instability; similarly, the energy demand of the grid also has a maximum recovery rate and minimum requirements. The system monitors whether the data exceeds these thresholds in real time, and determines the optimization strategy that needs to be adjusted based on the monitoring results. If the maximum output capacity of the energy storage power supply is 10kW, and the grid requirement is 12kW, the system will adjust the output to the appropriate range (for example, the maximum output is 10kW). According to the results of the parameter comparison analysis and the monitoring of the upper and lower thresholds, the system will automatically adjust the output strategy of the energy storage power supply. For example, if the grid demand is too high, the system may increase the output of the energy storage power supply; conversely, if the grid demand decreases, the system will reduce the output to avoid energy waste. Finally, the system generates a real-time energy recovery control plan based on the optimized strategy and adjusts each parameter window to ensure that the energy storage power supply is always in the best operating state. The real-time nature of this dynamic adjustment strategy ensures that the energy storage power supply can efficiently exchange energy with the grid and maximize the stability of the grid.

[0110] The beneficial effects of the above technical solution are: by real-time detection of the power of the energy storage power supply and the grid demand, the system can automatically determine whether to perform energy recovery, effectively improving the intelligent level of energy management. The system matches the voltage, frequency, and power before energy recovery, which can avoid grid instability caused by parameter mismatch and improve energy interaction efficiency. Stop the recovery operation when the power is low, effectively reduce the excessive use of the energy storage power supply and extend the life of the equipment. Dynamically generate optimization strategies so that the energy storage power supply can recover excess energy at the most appropriate speed to avoid waste of resources.

[0111] In another embodiment, generating a control instruction includes:

[0112] Based on the energy recovery strategy, determine the specific implementation steps of energy recovery, including the working mode adjustment and output power control of the bidirectional grid-connected inverter;

[0113] Obtaining a first pass parameter and a second pass parameter corresponding to the energy storage power supply, and predicting a first energy recovery time (referring to the time required for the energy storage power supply to recover a certain amount of energy from the power grid according to the conversion efficiency of the energy storage power supply and the power grid load) and a second energy recovery time (usually the time predicted when the power grid load is low, which is usually shorter than the first energy recovery time) corresponding to the energy storage power supply according to the average conversion efficiency of the energy storage power supply;

[0114] Obtaining a first growth rate of the current load of the power grid corresponding to the relatively efficient energy recovery direction (referring to the rate of growth of the power grid load, usually expressed as a percentage of load growth per minute), and determining a first energy recovery amount of the energy storage power supply based on the first growth rate, combined with the node length of each power grid node corresponding to the relatively efficient energy recovery direction (referring to the distance between two nodes in the power grid), the first energy recovery waiting time, and the preset running speed of the power grid corresponding to the current period;

[0115] Obtaining a first control signal extension time corresponding to a relatively efficient energy recovery direction according to a first energy recovery amount, a first energy recovery time, a first bidirectional grid-connected inverter adjustment time, and an energy recovery start-up error of an adjacent device;

[0116] At the same time, a second growth rate of the current load of the power grid corresponding to the sub-efficient energy recovery direction is obtained, and based on the second growth rate (referring to the rate at which the power grid load grows in another direction, which is different from the first growth rate due to different demands in different regions or time periods), the second energy recovery waiting time (referring to the waiting time before energy recovery) of each power grid node corresponding to the sub-efficient energy recovery direction, and the preset power grid operation speed corresponding to the current time period are combined to determine the second energy recovery amount of the energy storage power supply (referring to the energy recovery amount predicted by the energy storage power supply according to factors such as the power grid load and node length in the second energy recovery direction);

[0117] According to the second energy recovery amount, the second energy recovery time, the second bidirectional grid-connected inverter adjustment time (the inverter adjustment time refers to the time required for the bidirectional grid-connected inverter to switch from one working mode (such as charging mode) to another working mode (such as discharging mode)), and the energy recovery start-up error of the adjacent device (the energy recovery start-up error refers to the difference between the recovery amount calculated by the system and the actual recovery amount when starting the energy recovery process), the second control signal extension time corresponding to the sub-high-efficiency energy recovery direction is obtained;

[0118] Based on the first control signal extension time (the time the system extends the control signal of the energy storage power supply to ensure the stability of the energy recovery process) and the second control signal extension time (the extension time calculated based on factors such as the recovery amount and recovery time in the second energy recovery direction. By extending the control signal time), the working mode and output power of the bidirectional grid-connected inverter corresponding to the energy recovery control strategy of the energy storage power supply are adjusted to generate real-time energy recovery control instructions.

[0119] The formula of the first energy recovery amount E1 is as follows:

[0120] The formula for the second energy recovery E2 is as follows:

[0121] in, and Respectively represent the grid load growth rate (% / minute) of the first and second energy recovery directions; L1 and L2 respectively represent the node length (kilometer or other distance unit) of each grid node corresponding to the energy recovery direction; T 等待1 and T 等待2 Respectively represent the waiting time (minutes) for the first and second energy recovery directions; V1 and V2 respectively represent the preset operating speed of the power grid corresponding to the current period (km / min).

[0122] The amount of energy recovered is proportional to the load growth rate, node length, waiting time and operating speed.

[0123] The first direction generally has a larger recovery amount when the load is higher, and the second direction has a smaller recovery amount when the load is lower.

[0124] The working principle of the above technical solution is as follows: the energy storage power supply is usually equipped with a bidirectional grid-connected inverter (BidirectionalInverter), which can switch between charging mode and discharging mode. The primary task of the energy recovery strategy is to adjust the working mode of the bidirectional grid-connected inverter according to the needs of the power grid. Assume that the power grid currently needs to recover energy from the energy storage power supply. The system first switches the working mode of the bidirectional grid-connected inverter to the discharge mode and adjusts the output power according to the requirements of the power grid. The recovery power required by the power grid is 20kW, and the inverter of the energy storage power supply will output power that matches the power grid.

[0125] When the energy storage power supply is recovering energy, it is necessary to predict the specific time of energy recovery based on different operating conditions. The system will obtain two key parameters: The first pass parameter: related to the input and output power and conversion efficiency of the energy storage power supply. The second pass parameter: related to the load of the energy storage power supply, environmental conditions (such as temperature, humidity, etc.) and grid voltage fluctuations. Combined with the average conversion efficiency of the energy storage power supply (that is, the efficiency of the power supply converting electrical energy into stored energy), the system will calculate the energy recovery time. If the average conversion efficiency of the energy storage power supply is 95%, the system predicts the energy recovery time by combining the first and second pass parameters. First energy recovery time: The energy storage power supply is expected to take 1 hour to recover the target energy. Second energy recovery time: If the grid load is low, it may only take 45 minutes.

[0126] The system needs to determine the amount of energy storage power recovered based on the first growth rate of the grid load (indicating the rate at which the grid load increases). Assume that the current growth rate of the grid load is 3% / minute, and the grid node length corresponding to the energy recovery direction of the energy storage power supply is 10 kilometers, the recovery waiting time is 15 minutes, and the preset operating speed of the grid in the current period is 5km / h. Calculation: Based on this information, the system will calculate the first energy recovery amount of the energy storage power supply, assuming that the recovery amount is 50kWh.

[0127] Combining the first energy recovery amount, the first energy recovery time, the bidirectional grid-connected inverter adjustment time (usually refers to the time required for the inverter to switch from one working mode to another), and the energy recovery startup error of the adjacent device, the system calculates the control signal extension time corresponding to the first energy recovery direction. If the adjustment time is 5 minutes and the startup error of the adjacent device is 3 minutes, the control signal extension time is 8 minutes. At this time, the output power adjustment cycle of the energy storage power supply will be extended accordingly to ensure stability and safety during the energy recovery process.

[0128] For the sub-efficient energy recovery direction, the system also obtains the second growth rate of the current load of the power grid in this direction. By calculating the growth rate, node length, energy recovery waiting time, and the preset running speed of the power grid, the system predicts the second energy recovery amount of the energy storage power supply. For example: the power grid load growth rate is 2% / minute, the node length is 8 kilometers, the recovery waiting time is 10 minutes, and the preset running speed is 6km / h. Based on these parameters, the system calculates that the second energy recovery amount is 40kWh.

[0129] Similarly, the system calculates the control signal extension time corresponding to the second energy recovery direction according to the second energy recovery amount, the second energy recovery time, the adjustment time of the second bidirectional grid-connected inverter, and the energy recovery startup error of the adjacent device. If the adjustment time is 4 minutes and the startup error is 2 minutes, the second control signal extension time is 6 minutes, and the energy recovery rate of the energy storage power supply is adjusted.

[0130] Finally, based on the first control signal extension time and the second control signal extension time, the system will adjust the energy recovery control strategy of the energy storage power supply. This includes: adjusting the working mode of the bidirectional grid-connected inverter to ensure that it outputs the corresponding power at the right time. Adjust the output power to ensure that the energy storage power supply matches the energy demand of the power grid. Finally, the system generates a real-time energy recovery control instruction to ensure that the energy recovery process of the energy storage power supply is stable and effective. For example: under this control instruction, the energy storage power supply will recover energy from the power grid at a power of 20kW. During the adjustment process, the bidirectional grid-connected inverter will automatically adjust according to the set strategy.

[0131] The beneficial effects of the above technical solution are: by dynamically calculating and adjusting the recovery amount and recovery time, the system can ensure that the energy storage power supply recovers energy under the optimal conditions and improve the overall energy recovery efficiency. Accurately calculate and adjust the output power and working mode of the energy storage power supply to ensure that the energy storage power supply can respond in time when the grid load changes, avoiding grid fluctuations or instability.

[0132] In another embodiment, if the current energy storage capacity is less than or equal to a preset minimum energy storage threshold, determining that the energy recovery demand of the energy storage power supply is low includes:

[0133] Get the current time and determine the time interval to which the current time belongs;

[0134] When the current time is in a high load period, energy recovery operation is given priority;

[0135] When the current time is in a low load period, reduce the energy recovery strength or suspend energy recovery;

[0136] Based on the time interval to which the current time belongs and the grid load conditions, a corresponding energy recovery strategy is generated to control the energy recovery operation mode of the energy storage power supply.

[0137] The working principle of the above technical solution is: the system first obtains the current time and determines the time interval to which it belongs. According to different time periods (for example, morning peak, evening peak, non-peak period, etc.), the system will adjust the energy recovery strategy. For example, the morning peak (for example, 7:00-9:00) and evening peak (for example, 17:00-19:00) are usually periods when the grid load is higher, and the system will give priority to energy recovery at this time. During non-peak periods (for example, after 10:00 pm), when the grid load is lighter, the system will adjust the energy recovery intensity.

[0138] After obtaining the current time, the system will determine whether the grid is in a high-load or low-load state based on the load of the grid (obtained through the intelligent monitoring system or grid dispatch data). If the grid is in a high-load state, the system will increase the intensity of energy recovery to minimize the need to purchase electricity from the grid. Conversely, when the grid load is low, the system will reduce the intensity of energy recovery or even suspend energy recovery operations to avoid the system from affecting stability due to excessive recovery.

[0139] During high-load periods, the energy storage power supply will give priority to energy recovery. At this time, the AC energy-saving load module turns on the discharge function and ensures safe operation. The system manages the output voltage during the charging and discharging process to ensure that the smart grid-connected inverter can obtain a stable power supply. If the grid load is close to the maximum capacity, the system will feed more energy back to the grid, reducing the need to charge the energy storage power supply. Through intelligent regulation, the system can ensure grid stability and avoid failures caused by excessive load.

[0140] During low-load periods, the system will reduce the intensity of energy recovery or completely suspend energy recovery. This is because the grid load is low, and excessive recovery may cause energy fluctuations in the grid and even affect the charging efficiency of the energy storage power supply. At this time, after the DC energy-saving load module is powered on, the system will adjust the output voltage according to the load changes to ensure voltage stability and not affect the stable operation of the inverter due to excessive recovery.

[0141] The intelligent grid-connected inverter converts the DC power in the energy storage system into AC power and ensures that the AC power it outputs is synchronized with the frequency and phase of the mains power. This means that the system can ensure a smooth transition of power feedback during high or low load periods and avoid fluctuations or instability in the power feedback process.

[0142] During the entire energy recovery process, the system will track key parameters such as grid load, energy storage power supply charging status, output voltage, inverter working status, etc. in real time through the monitoring system to ensure that the efficiency of energy recovery is maximized and the impact caused by internal losses or external environmental factors (such as temperature changes, grid fluctuations, etc.) is reduced. The management system will automatically adjust the recovery strategy according to the actual situation to maintain the optimal operating state of the system.

[0143] The beneficial effects of the above technical solution are as follows: by intelligently adjusting the energy recovery strategy, the energy storage power supply can provide support when the grid load is high, reduce the pressure on the grid, ensure the stability of the grid and the quality of power supply, and avoid power failures caused by overload. The energy recovery intensity is adjusted according to the grid load in different time periods to make the charging and discharging process of the energy storage power supply more efficient, avoid ineffective energy waste, and ensure that the system can save energy at low loads and avoid the negative impact of excessive recovery on the grid. When the grid load is high, energy recovery can reduce the need to purchase electricity from the grid, helping users save electricity costs, especially during high electricity price periods.

[0144] In another embodiment, when the current time is in a low load period, the method includes:

[0145] When an increase in grid load demand is detected, energy recovery operation is resumed;

[0146] Dynamically adjust the start and stop conditions of energy recovery based on the changing trend of grid load;

[0147] When the grid load demand is stable, the energy storage power source is maintained in standby mode to prepare for future energy recovery needs.

[0148] The working principle of the above technical solution is: the system determines the power supply demand of the power grid by monitoring the load changes of the power grid in real time. The monitoring means include obtaining load data provided by the power grid dispatching center, or collecting power grid load information in real time through smart meters and sensors. Assuming that the load of the power grid increases significantly during a certain period of time (such as the morning peak period, 7:00 to 9:00), the system will immediately sense this load change and start energy recovery operations to make up for the lack of power grid load and reduce the pressure on the power grid. Assuming that the load of the power grid suddenly increases by 10%, the energy storage system automatically starts the energy recovery function after receiving the signal of load increase, and transfers the electricity in the energy storage power supply to the power grid to relieve the pressure on the power grid.

[0149] The system not only reacts based on a single instantaneous load value, but also tracks the changing trend of the grid load. For example, when the grid load rises rapidly and reaches a certain threshold, the energy storage system will immediately increase the energy recovery strength; if the grid load begins to slowly decrease, the system will gradually reduce the recovery strength or even stop energy recovery. If the grid load rises from 80% to 90% in a short period of time, the energy storage system will immediately increase the recovery output according to this change trend and pull the grid load back to a safe range. If the load begins to stabilize after rising, the system will monitor the load changes and dynamically adjust the recovery amount according to the set rules. If the load decreases, the system will reduce or suspend energy recovery to prevent excessive discharge of the energy storage power supply caused by excessive recovery.

[0150] Dynamic adjustment strategy: The system uses a prediction algorithm to adjust the start and stop conditions of energy recovery based on the change pattern of the grid load over the past period of time. For example, when the rate of increase in grid load exceeds a certain set threshold, the energy storage system will quickly start recovery; if the load falls back slowly, the system will gradually reduce the recovery intensity to avoid unnecessary energy waste.

[0151] When the grid load demand is stable (for example, the grid load is stable at 85%), the energy storage power supply enters standby mode. At this time, the energy storage system does not actively recover energy, but remains in a ready state to respond to future changes in load demand at any time. When the energy storage power supply is on standby, it maintains an appropriate charging capacity to ensure that the system can quickly resume energy recovery operation once the grid load fluctuates. Assuming that the grid load is stable at 80%, the energy storage system does not immediately recover energy at this time, but enters standby mode. During the stable operation of the grid load, the energy storage power supply monitors the load situation and adjusts the charging or standby state. When the grid load fluctuates sharply, the energy storage power supply can quickly resume energy recovery and provide the required energy to the grid.

[0152] The energy storage system needs to continuously monitor the changing trend of the grid load and adjust the energy recovery strategy based on real-time data. The monitored parameters include grid load, charging and discharging status of the energy storage power supply, battery voltage, charging efficiency, etc. The system predicts the future trend of the grid load through algorithm calculation to ensure that the energy storage power supply can respond and make adjustments immediately when the grid load changes. Assuming that the grid load gradually increases from 80% to 95%, and the prediction algorithm detects this upward trend in advance, the energy storage system will be ready to start the energy recovery operation in advance. Through this prediction, the energy storage power supply can reduce response delays and ensure that the grid load demand is replenished in a timely manner.

[0153] The beneficial effects of the above technical solution are: by dynamically adjusting the energy recovery strategy, the energy storage power supply can quickly intervene when the grid load increases, relieve the grid pressure, and avoid power supply instability or power outages caused by excessive load. The system intelligently adjusts the recovery strategy according to the real-time changes and trends of the grid load to avoid unnecessary excessive recovery or suspension, thereby improving the energy utilization efficiency and response speed of the energy storage system.

[0154] In another embodiment, if the current energy storage capacity is higher than a preset minimum energy storage threshold, the following steps are performed:

[0155] Based on the current energy storage capacity and the preset minimum energy storage threshold, the energy storage overflow ratio is obtained;

[0156] When the energy storage overflow ratio is greater than the preset value, the energy storage power source is judged to have energy recovery capability, a red mark is added to the energy topology network, and an energy recovery warning notification is sent to the energy management center;

[0157] Otherwise, it is determined that the energy storage power source is in an energy storage state, and a yellow mark is added to the energy topology network.

[0158] The working principle of the above technical solution is: the energy storage overflow ratio refers to the ratio of the difference between the current energy storage capacity and the preset minimum energy storage threshold to the current total energy storage capacity. The formula is:

[0159]

[0160] The system first calculates this ratio to understand whether the energy storage battery has sufficient energy storage or is about to overflow.

[0161] If the energy storage overflow ratio is greater than the preset value (for example, the preset overflow ratio threshold is 50%), the energy storage power supply is determined to have energy recovery capability. This means that the current energy storage system power is high enough to start energy recovery. Assuming the preset overflow ratio is 50%, if the energy storage power is 80%, the minimum threshold is 30%, and the calculated energy storage overflow ratio is 62.5%, it exceeds the preset value, and the system determines that the energy storage power supply has energy recovery capability.

[0162] When the energy storage overflow ratio is greater than the preset value, the system will mark the energy storage power supply in red in the energy topology network, indicating that the power supply has the ability to recover energy. At the same time, the system will send an energy recovery warning notification to the energy management center to inform relevant personnel that the energy storage system can recover energy. When the energy storage overflow ratio is 62.5%, the status of the energy storage power supply changes to "recovery available", and the device is displayed in red on the topology network, notifying managers to prepare to start the recovery mechanism.

[0163] If the energy storage overflow ratio is less than or equal to the preset value, the energy storage power supply is in the energy storage state, which means that the energy storage system has not yet reached the energy recovery conditions and still needs to store more energy. Assuming that the energy storage capacity is 40%, the minimum threshold is 30%, and the energy storage overflow ratio is 25%, the system determines that the energy storage power supply is in the storage state, and the topology network displays a yellow mark.

[0164] When the energy storage power source is in the energy storage state, the system marks it as yellow in the energy topology network to remind the user that the device is storing power instead of recycling it. If the energy storage power is low and the energy storage overflow ratio is less than the preset threshold, the system will mark the energy storage power source as yellow, indicating that the energy storage device needs to continue charging to reach a power level suitable for recycling.

[0165] The beneficial effects of the above technical solution are: by dynamically judging the recovery status of the energy storage power supply according to the energy storage overflow ratio, the operation mode of the energy storage power supply can be optimized in real time to reduce the risk of ineffective storage or excessive recovery. Accurately judging whether the energy storage power supply has energy recovery capabilities helps to enable the energy storage power supply for energy recovery in a timely manner, thereby improving the overall operation efficiency of the power grid. When the energy storage power supply has energy recovery capabilities, through the mechanism of red marking and early warning notification, managers can respond quickly and take corresponding measures to prevent excessive grid load or power outages. The yellow mark clearly indicates that the energy storage system is in a charging state, avoiding misoperation, effectively preventing the start of energy recovery when it is not suitable for recovery, and extending the service life of the equipment.

[0166] In another embodiment, the energy storage power supply has energy recovery capability, including:

[0167] Obtain voltage and frequency information of the external power grid and determine energy exchange requirements based on the power grid information;

[0168] Generate matching solutions corresponding to demand based on energy topology network and energy storage monitoring data;

[0169] Obtain the preset load of each time period corresponding to each matching node, and determine whether the preset load of the time period corresponding to the predicted travel time of the pending node exceeds the preset capacity of the matching node. If so, regenerate the matching plan;

[0170] Otherwise, the matching solution is sent to the corresponding area of ​​the control display page of the energy management system for display;

[0171] After confirming that the energy management personnel have adopted the matching plan, based on the current operating data of the energy storage power source, the energy storage power source is predicted to reach each section of the matching node and the corresponding time period, and a matching plan is generated;

[0172] Based on the matching scheme, each matching node is marked with a preset load on the energy topology network.

[0173] The working principle of the above technical solution is as follows: the voltage and frequency information of the external power grid is obtained through the cloud platform. This information includes the voltage level and frequency of the current power grid, which is usually used to evaluate the stability and load conditions of the power grid. The fluctuations in voltage and frequency may affect the charging and discharging strategy of the energy storage system. Assume that the voltage of the external power grid is 220V and the frequency is 50Hz. The cloud platform collects this data through real-time monitoring to help the system understand the operating status of the power grid and decide whether energy exchange is needed.

[0174] Based on the grid voltage and frequency information obtained, the system analyzes whether the grid is in a peak load or fluctuating state, and decides whether energy exchange is required through the energy storage system. Energy exchange demand means that the grid needs to charge or discharge through the energy storage system to maintain grid stability. If the voltage and frequency of the external grid are unstable, the system may determine that it is necessary to release power from the energy storage battery to the grid to stabilize the voltage or frequency.

[0175] The energy topology network is the energy flow network inside the energy storage system, including energy storage units, grid interfaces, energy exchange paths, etc. Based on the monitoring data of the energy storage system and the grid demand, the system generates a matching solution, that is, a solution that determines the energy storage power supply to provide power to the grid or other loads. If the grid demand is 100kW of power output, and the energy storage system currently has 200kWh of electricity available, the system will generate a matching solution based on the topology network to determine which energy storage nodes should discharge to the grid to meet the demand.

[0176] The preset load refers to the load that the system has scheduled for each matching node to bear during a specific period of time. For example, how much power should the energy storage power supply provide during a specific period of time. According to the energy topology network, the system obtains these preset load data. For example, the preset load of a certain energy storage node from 8 to 10 in the morning is 50kW. The system will decide whether power exchange can be achieved based on these preset loads.

[0177] The system compares the predicted travel time of the pending node (i.e. the current pending node) with the preset load of the corresponding period of the node to determine whether the load exceeds the maximum capacity of the matching node. If the capacity limit is exceeded, the matching plan needs to be regenerated. If the preset load of a pending node in a certain period is 70kW, but the maximum capacity of the node is 60kW, the load exceeds the limit, and the system needs to adjust the matching plan.

[0178] If the load exceeds the capacity, the system will regenerate a new matching plan based on the remaining energy storage capacity and grid demand to ensure that the load distribution of each node does not exceed the capacity limit. In the above case, the system will redistribute the load, possibly allocating part of the load to other energy storage nodes with larger capacity, and recalculate and adjust the matching plan.

[0179] When the matching plan is generated and verified, the system will send the plan to the control page of the energy management system for real-time display. The control display page is used to display the energy flow of the energy storage system and the power grid, the energy storage power supply status, and the scheduling plan. For example, energy managers can see the matching plan on the control page, including the charging and discharging status of each energy storage node and the load demand of the power grid.

[0180] After the energy manager confirms the adoption of the matching plan, the system will predict the status of the energy storage power supply in various time periods and sections based on the current operating data of the energy storage power supply (for example, remaining power, charging speed, etc.) to ensure that the energy storage power supply performs energy exchange as planned. Assume that the energy storage power supply has 50kWh of power and the current charging speed is 5kW / h. The system predicts that the battery can be fully charged within 1 hour and can output energy according to the matching plan.

[0181] Finally, the system will mark the preset load of each matching node on the energy topology network. This mark helps the energy management system monitor the energy flow and load status of each node to ensure that the execution of the plan will not cause system overload. In the topology network, the system will mark the load of each energy storage node with different colors to ensure that the load of all nodes is within a safe range.

[0182] The beneficial effects of the above technical solution are: by generating a matching solution based on the voltage and frequency information of the external power grid and the status of the energy storage system, the energy storage power supply can be dispatched more accurately for energy exchange, thereby improving the efficiency of energy storage resources. The system monitors the power grid demand and the capacity of the energy storage power supply in real time, reasonably adjusts the energy flow, helps balance the power grid load, reduces the risk of voltage fluctuations and frequency anomalies, and thus improves the stability and reliability of the power grid. By predicting energy output based on the current operating data of the energy storage power supply, the system can intelligently dispatch the energy storage power supply to ensure that while meeting the power grid demand, excessive discharge or charging is avoided, thereby extending the service life of the equipment.

[0183] In another embodiment, based on the energy recovery strategy, specific implementation steps of energy recovery are determined, including:

[0184] Determine the initial operating parameters of the energy recovery system, including the operating mode of the bidirectional grid-connected inverter, the capacity of the energy storage system, the system temperature control range and load requirements, and adjust the operating mode of the bidirectional grid-connected inverter according to the current grid load status;

[0185] In the bidirectional grid-connected inverter working mode, the battery voltage and current status of the energy storage system are monitored in real time to determine whether the battery voltage of the energy storage system is lower than the preset minimum charging voltage value;

[0186] If the battery voltage of the energy storage system is lower than the preset minimum charging voltage value, the charging mode of the bidirectional grid-connected inverter is triggered, and the inverter is controlled to charge the energy storage system to ensure that the energy storage system continues to supply power under normal load;

[0187] If the battery voltage of the energy storage system exceeds the preset maximum charging voltage value, or the battery of the energy storage system reaches the rated operating current, the output power of the bidirectional grid-connected inverter is automatically adjusted to prevent the system from overcharging or overloading;

[0188] Real-time monitoring of temperature changes during system operation. If the temperature exceeds the preset threshold, the output power of the bidirectional grid-connected inverter is controlled to prevent system overheating and trigger the cooling system or shutdown protection measures;

[0189] Analyze load demand and adjust the charging and discharging strategy of the energy storage system in real time based on load changes to improve the charging and discharging efficiency of the battery and optimize the pressure and current distribution during energy recovery;

[0190] Based on the operating status of the energy storage system and changes in load demand, the control strategy of the bidirectional grid-connected inverter is optimized, and the system's charging, discharging and output power control are adjusted in real time to ensure the efficient implementation of the energy recovery strategy.

[0191] The working principle of the above technical solution is as follows: when the system starts, it is first necessary to set the working mode of the bidirectional grid-connected inverter, the capacity of the energy storage system, the temperature control range and the load demand. Working mode of bidirectional grid-connected inverter: The bidirectional inverter can not only convert DC power into AC power, but also convert AC power into DC power to charge the energy storage system. According to the real-time status of the grid load, adjust the working mode of the inverter to maximize the operating efficiency and stability of the system. Capacity of the energy storage system: The capacity of the energy storage battery pack is estimated based on the maximum output power of the equipment, taking into account the energy storage capacity under maximum load to avoid battery overload. System temperature control range: During operation, the temperature status of the equipment is monitored in real time through a temperature sensor. When the system temperature exceeds the preset safety range, the working status will be automatically adjusted or the cooling system will be started.

[0192] The system continuously monitors the voltage and current of the energy storage battery. When the battery voltage is lower than the preset minimum charging voltage value, the system will trigger the charging mode and start the inverter to charge to ensure that the energy storage battery can operate normally. If the battery voltage exceeds the preset maximum charging voltage value, or when the battery reaches the rated operating current, the inverter will automatically reduce the output power to avoid the risk of overcharging or overloading the battery.

[0193] During the operation of the energy storage system, temperature has a significant impact on the performance and safety of the battery. If the temperature of the battery pack or inverter exceeds the preset threshold, the system will take corresponding protective measures to reduce or stop the charging and discharging process to prevent the equipment from overheating and damage. At the same time, the system can trigger the cooling system or start shutdown protection measures to reduce the temperature and ensure that the equipment operates within a safe range.

[0194] The system dynamically adjusts the charging and discharging strategy of the energy storage battery according to the real-time load demand. By analyzing the changes in the grid load and power demand, the energy supply of the energy storage battery is reasonably allocated to ensure the stability of the load and the balance of the grid. When the load is low, the energy storage system can be in a discharging state and feed the electric energy back to the grid; when the load is peak, the energy storage system is charged to balance the grid load.

[0195] The control strategy of the bidirectional grid-connected inverter will be optimized according to the status of the energy storage system (such as battery voltage, charge and discharge rate, temperature) and the load demand of the power grid. For example, when the load is low, the system will give priority to low-power discharge mode to reduce unnecessary energy loss. The system will automatically adjust the charging, discharging and output power according to real-time data to ensure the efficient implementation of the energy recovery process, extend the battery life and improve the overall energy efficiency.

[0196] The beneficial effects of the above technical solution are: by real-time monitoring and adjusting the working mode and control strategy of the energy storage system, the efficiency of the energy recovery system can be maximized. The charging and discharging process is optimized to reduce energy waste, thereby improving the overall operating efficiency of the system. Reasonable control of charging and discharging voltage and current, avoiding overcharging and overdischarging, and reducing the burden on the battery caused by excessive temperature, etc., helps to extend the service life of the battery. The system ensures that the energy storage equipment operates within a safe range through temperature monitoring, overcharge and overdischarge protection and other measures, avoiding safety accidents caused by battery failure or inverter overload.

[0197] In another embodiment, an energy recovery system for an energy storage power supply product includes:

[0198] An acquisition unit is used to acquire various operating data of energy storage power products based on the energy storage management system, and determine the current energy storage capacity, load demand and external power grid status;

[0199] A strategy formulation unit, used to analyze the energy recovery requirements of the energy storage power source and formulate an energy recovery strategy based on the current operating data;

[0200] The control instruction generation unit is used to generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

[0201] The working principle of the above technical solution is as follows: an acquisition unit is used to acquire various operating data of the energy storage power supply product based on the energy storage management system, and determine the current energy storage power, load demand and external power grid status; a strategy formulation unit is used to analyze the energy recovery demand of the energy storage power supply based on the current operating data and formulate an energy recovery strategy; a control instruction generation unit is used to generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

[0202] The acquisition unit includes:

[0203] The first acquisition module is used to acquire various operating data of each energy storage power supply product within the monitoring range based on the energy storage management system, and the operating data includes the charge and discharge state, power output, voltage and current parameters and ambient temperature of the energy storage power supply;

[0204] The second acquisition module is used to determine the current energy storage capacity of each energy storage power supply product within the monitoring range based on the operation data;

[0205] A third acquisition module is used to determine the load demand within the monitoring range based on the operation data;

[0206] The fourth acquisition module is used to determine the current state of the external power grid based on the operation data. The current state of the external power grid includes parameters of the power grid voltage, power grid frequency, real-time electricity price and power grid load.

[0207] The strategy development unit includes:

[0208] A first comparison module, used to compare the current energy storage capacity with a preset minimum energy storage threshold;

[0209] The first determination module is used to determine whether the energy storage power supply has energy recovery capability if the current energy storage power is higher than a preset minimum energy storage threshold, obtain voltage and frequency information of the external power grid, and match the output of the energy storage power supply with the energy exchange demand of the power grid;

[0210] The second comparison module is used to compare the output parameters of the energy storage power supply with the requirements of the power grid, determine the optimization strategy for energy recovery, adjust the energy recovery control strategy of the energy storage power supply based on the optimization strategy and the technical parameters of the energy storage power supply, and generate a real-time energy recovery strategy;

[0211] The second determination module is used to determine that the energy recovery demand of the energy storage power supply is low and stop the energy recovery operation if the current energy storage power is less than or equal to a preset minimum energy storage threshold.

[0212] The beneficial effect of the above technical solution is that by acquiring various operating data of the energy storage power supply in real time, the current energy storage power, load demand and the status of the external power grid can be clearly understood. This lays the foundation for the system to formulate a more scientific and accurate energy management strategy, thereby optimizing the charging and discharging strategy of the energy storage power supply and improving the energy storage efficiency. Based on the current operating data, the strategy formulation unit can accurately analyze the energy recovery requirements of the energy storage power supply and formulate corresponding energy recovery strategies. This strategy formulation helps to achieve maximum energy recovery, reduce waste, and improve the overall economy and sustainability of the system.

[0213] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An energy recovery method for an energy storage power supply product, characterized in that: include: S101: Acquire various operation data of energy storage power products based on the energy storage management system to determine the current energy storage capacity, load demand and external grid status; S102: Analyze the energy recovery demand of the energy storage power source based on the current operation data and formulate an energy recovery strategy; S103: Generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

2. The energy recovery method of an energy storage power supply product according to claim 1, characterized in that: Step S101 includes: S1011: Based on the energy storage management system, various operating data of each energy storage power supply product within the monitoring range are obtained, and the operating data include the charging and discharging state, power output, voltage and current parameters and ambient temperature of the energy storage power supply; S1012: Determine the current energy storage capacity of each energy storage power supply product within the monitoring range based on the operation data; S1013: Determine the load demand within the monitoring range based on the operation data; S1014: Based on the operation data, determine the current state of the external power grid, the current state of the external power grid includes parameters of the grid voltage, grid frequency, real-time electricity price and grid load.

3. The energy recovery method of an energy storage power supply product according to claim 1, characterized in that: Step S102 includes: S1021: Compare the current energy storage capacity with a preset minimum energy storage threshold; S1022: If the current energy storage capacity is higher than the preset minimum energy storage threshold, determine that the energy storage power supply has energy recovery capability, obtain voltage and frequency information of the external power grid, and match the output of the energy storage power supply with the energy exchange demand of the power grid; S1023: Compare the output parameters of the energy storage power supply with the requirements of the power grid, determine the optimization strategy for energy recovery, adjust the energy recovery control strategy of the energy storage power supply based on the optimization strategy and the technical parameters of the energy storage power supply, and generate a real-time energy recovery strategy; S1024: If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, it is determined that the energy recovery demand of the energy storage power supply is low, and the energy recovery operation is stopped.

4. The energy recovery method of an energy storage power supply product according to claim 1, characterized in that: Generate control instructions, including: Based on the energy recovery strategy, determine the specific implementation steps of energy recovery, including the working mode adjustment and output power control of the bidirectional grid-connected inverter; Obtaining a first pass parameter and a second pass parameter corresponding to the energy storage power supply, and predicting a first energy recovery time and a second energy recovery time corresponding to the energy storage power supply according to an average conversion efficiency of the energy storage power supply; Obtaining a first growth rate of the current load of the power grid corresponding to the relatively efficient energy recovery direction, and determining a first energy recovery amount of the energy storage power supply based on the first growth rate, in combination with the node length of each power grid node corresponding to the relatively efficient energy recovery direction, the first energy recovery waiting time, and the preset power grid operation speed corresponding to the current period; Obtaining a first control signal extension time corresponding to a relatively efficient energy recovery direction according to a first energy recovery amount, a first energy recovery time, a first bidirectional grid-connected inverter adjustment time, and an energy recovery start-up error of an adjacent device; At the same time, a second growth rate of the current load of the power grid corresponding to the sub-efficient energy recovery direction is obtained, and based on the second growth rate, the node length of each power grid node corresponding to the sub-efficient energy recovery direction, the second energy recovery waiting time, and the preset operation speed of the power grid corresponding to the current period are combined to determine the second energy recovery amount of the energy storage power supply; According to the second energy recovery amount, the second energy recovery time, the adjustment time of the second bidirectional grid-connected inverter and the energy recovery start-up error of the adjacent device, a second control signal extension time corresponding to the sub-high-efficiency energy recovery direction is obtained; Based on the first control signal extension time and the second control signal extension time, the working mode and output power of the bidirectional grid-connected inverter corresponding to the energy recovery control strategy of the energy storage power supply are adjusted to generate a real-time energy recovery control instruction.

5. The energy recovery method of an energy storage power supply product according to claim 3, characterized in that: If the current energy storage capacity is less than or equal to the preset minimum energy storage threshold, it is determined that the energy recovery demand of the energy storage power supply is low, including: Get the current time and determine the time interval to which the current time belongs; When the current time is in a high load period, energy recovery operation is given priority; When the current time is in a low load period, reduce the energy recovery strength or suspend energy recovery; Based on the time interval to which the current time belongs and the grid load conditions, a corresponding energy recovery strategy is generated to control the energy recovery operation mode of the energy storage power supply.

6. The energy recovery method of an energy storage power supply product according to claim 5, characterized in that: When the current time is in a low load period, including: When an increase in grid load demand is detected, energy recovery operation is resumed; Dynamically adjust the start and stop conditions of energy recovery based on the changing trend of grid load; When the grid load demand is stable, the energy storage power source is maintained in standby mode to prepare for future energy recovery needs.

7. The energy recovery method of an energy storage power supply product according to claim 3, characterized in that: If the current energy storage capacity is higher than the preset minimum energy storage threshold, including: Based on the current energy storage capacity and the preset minimum energy storage threshold, the energy storage overflow ratio is obtained; When the energy storage overflow ratio is greater than the preset value, the energy storage power source is judged to have energy recovery capability, a red mark is added to the energy topology network, and an energy recovery warning notification is sent to the energy management center; Otherwise, it is determined that the energy storage power source is in an energy storage state, and a yellow mark is added to the energy topology network.

8. The energy recovery method of an energy storage power supply product according to claim 7, characterized in that: Determine whether the energy storage power source has energy recovery capability, including: Obtain voltage and frequency information of the external power grid and determine energy exchange requirements based on the power grid information; Generate matching solutions corresponding to demand based on energy topology network and energy storage monitoring data; Obtain the preset load of each time period corresponding to each matching node, and determine whether the preset load of the time period corresponding to the predicted travel time of the pending node exceeds the preset capacity of the matching node. If so, regenerate the matching plan; Otherwise, the matching solution is sent to the corresponding area of ​​the control display page of the energy management system for display; After confirming that the energy management personnel have adopted the matching plan, based on the current operating data of the energy storage power source, the energy storage power source is predicted to reach each section of the matching node and the corresponding time period, and a matching plan is generated; Based on the matching scheme, each matching node is marked with a preset load on the energy topology network.

9. The energy recovery method of an energy storage power supply product according to claim 4, characterized in that: Based on the energy recovery strategy, determine the specific implementation steps of energy recovery, including: Determine the initial operating parameters of the energy recovery system, including the operating mode of the bidirectional grid-connected inverter, the capacity of the energy storage system, the system temperature control range and load requirements, and adjust the operating mode of the bidirectional grid-connected inverter according to the current grid load status; In the bidirectional grid-connected inverter working mode, the battery voltage and current status of the energy storage system are monitored in real time to determine whether the battery voltage of the energy storage system is lower than the preset minimum charging voltage value; If the battery voltage of the energy storage system is lower than the preset minimum charging voltage value, the charging mode of the bidirectional grid-connected inverter is triggered, and the inverter is controlled to charge the energy storage system to ensure that the energy storage system continues to supply power under normal load; If the battery voltage of the energy storage system exceeds the preset maximum charging voltage value, or the battery of the energy storage system reaches the rated operating current, the output power of the bidirectional grid-connected inverter is automatically adjusted to prevent the system from overcharging or overloading; Real-time monitoring of temperature changes during system operation. If the temperature exceeds the preset threshold, the output power of the bidirectional grid-connected inverter is controlled to prevent system overheating and trigger the cooling system or shutdown protection measures; Analyze load demand and adjust the charging and discharging strategy of the energy storage system in real time based on load changes to improve the charging and discharging efficiency of the battery and optimize the pressure and current distribution during energy recovery; Based on the operating status of the energy storage system and changes in load demand, the control strategy of the bidirectional grid-connected inverter is optimized, and the system's charging, discharging and output power control are adjusted in real time to ensure the efficient implementation of the energy recovery strategy.

10. An energy recovery system for an energy storage power supply product, characterized in that: include: An acquisition unit is used to acquire various operating data of energy storage power products based on the energy storage management system, and determine the current energy storage capacity, load demand and external power grid status; A strategy formulation unit, used to analyze the energy recovery requirements of the energy storage power source and formulate an energy recovery strategy based on the current operating data; The control instruction generation unit is used to generate control instructions according to the energy recovery strategy to control the energy storage power supply product to perform corresponding energy recovery operations.

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