Method for solving problem of low user consumption by user side energy storage

Abstract

The invention relates to the field of user side energy storage, and discloses a method for solving low user consumption by user side energy storage, which comprises the following steps of: distinguishing reasons of low user consumption, and determining low consumption as insufficient charging space or insufficient discharging space; if the charging space is insufficient, dynamically adjusting the charging power of the energy storage equipment by optimizing a scheduling operation mechanism to ensure that the gateway power of a user does not exceed a user demand limit value, and meanwhile, in a multi-transformer scene, increasing the overall charging capability through energy storage demand sharing; and if the discharge space is insufficient, the discharge power of the energy storage equipment is dynamically adjusted by optimizing a scheduling operation mechanism, and the power of a user gateway is not lower than the anti-reflux limit value. According to the invention, by monitoring the power of the user gateway and the power of the energy storage equipment in real time and combining the optimal scheduling and resource sharing mechanism, the dynamic optimization of the charging and discharging of the energy storage system and the efficient utilization of multi-transformer resources are realized.

Description

Technical Field

[0001] The present invention relates to the field of user side energy storage, and in particular to a method for user side energy storage to solve the problem of low user absorption. Background Art

[0002] In modern power systems, user-side energy storage systems are widely used for peak shaving, load balancing, and improving the economic efficiency of electricity use. Energy storage equipment can store electricity when electricity prices are low and release it when electricity prices are high, thereby effectively shifting the time and space of electricity use. Especially in industrial parks, commercial users, and multi-transformer grid-connected scenarios, energy storage systems can not only alleviate users' electricity pressure by reducing peak power consumption and supplementing insufficient loads, but also alleviate the problem of grid load fluctuations to a certain extent and ensure stable operation of the grid.

[0003] The energy storage control system of the existing technology has been able to achieve a certain degree of user load balancing and power dispatching functions. Some technical solutions adopt static energy storage charging and discharging strategies to perform simple power regulation on energy storage equipment under specific load conditions. These solutions avoid overload operation of energy storage equipment by setting fixed charging or discharging power limits, while improving the user's power safety to a certain extent. In addition, some energy storage management systems combine users' historical power consumption data to improve the operating efficiency of energy storage equipment through simple regularized regulation.

[0004] However, the existing technology still has some significant deficiencies in the user-side energy storage system. First, the user's absorption difference problem is difficult to diagnose in a timely and accurate manner. The existing technology lacks the ability of dynamic monitoring and real-time analysis, and cannot distinguish whether the absorption difference is caused by insufficient charging space or insufficient discharging space; this results in the system being unable to be optimized in a targeted manner during operation. Secondly, the regulation strategy of the energy storage equipment is relatively simple, usually using static or fixed power regulation, and cannot be dynamically adjusted according to real-time load changes. Especially under demand restrictions and anti-backflow restrictions, the existing technology is difficult to respond quickly, and is prone to low energy storage utilization. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method for user-side energy storage to solve the problem of low user consumption, which solves the deficiencies in the prior art in the user-side energy storage system in terms of charge and discharge regulation and resource utilization.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for solving low user consumption by user-side energy storage, comprising the following steps: Distinguish the reasons for low user consumption and determine whether the low consumption is due to insufficient charging space or insufficient discharging space; If there is insufficient charging space, the charging power of the energy storage equipment is dynamically adjusted by optimizing the scheduling operation mechanism to ensure that the user's gateway power does not exceed the user's demand limit value. At the same time, in a multi-transformer scenario, the overall charging capacity is increased by sharing the energy storage demand. If there is insufficient discharge space, the discharge power of the energy storage equipment is dynamically adjusted by optimizing the scheduling operation mechanism to ensure that the user's gateway power is not lower than the anti-reverse flow limit value. At the same time, in a multi-transformer scenario, the overall discharge capacity is improved by sharing the energy storage capacity. By real-time monitoring of the user's gateway power and the energy storage equipment power, the charging and discharging parameters are dynamically adjusted to achieve optimized operation of the user-side energy storage system.

[0007] Preferably, the reasons for distinguishing user consumption include: Collect historical operation data of user gateway power and real-time operation data of energy storage equipment charging and discharging; Analyze the user's power load characteristics and the working status of the energy storage equipment; When the user's gateway power approaches or exceeds the demand limit value for many times and the energy storage charging power is limited, it is judged that there is insufficient charging space; when the user's load is lower than the discharge capacity of the energy storage equipment for a long time and the user's gateway power approaches or is lower than the anti-backflow limit value for many times, it is judged that there is insufficient discharge space.

[0008] Preferably, the optimization scheduling operation mechanism dynamically adjusts the charging power of the energy storage device including: Set user demand limit value and hysteresis value, and monitor the power at the gateway in real time based on the battery management system of the energy storage system; When the user's gateway power exceeds the demand limit, the energy storage system will prioritize reducing the charging power, and prevent the user from exceeding the demand contract limit by reducing the input power of the energy storage device; When the user's gateway power is between the demand limit value and the demand differential value, the charging power of the energy storage device is maintained unchanged to ensure smooth operation; When the user's gateway power is lower than the demand limit value minus the demand differential value, the energy storage system increases the charging power according to the remaining charging space and the available capacity of the energy storage equipment, while optimizing the charging scheduling strategy to maximize the amount of energy storage.

[0009] Preferably, the optimized scheduling operation mechanism dynamically adjusts the discharge power of the energy storage device including: Set the anti-backflow limit value and hysteresis value, and dynamically adjust the real-time changes of the user's gateway power through the battery management system of the energy storage system; When the user's gateway power is lower than the anti-backflow limit value, the energy storage system reduces the discharge power and avoids the situation where power flows back to the upper grid by reducing the output power of the energy storage equipment; When the user's gateway power is between the anti-backflow limit value and the anti-backflow limit value plus the difference, the discharge power of the energy storage device is maintained stable to avoid frequent adjustments that affect the operating life of the equipment; When the user's gateway power is higher than the anti-backflow limit value plus the difference, the discharge power is increased according to the user's actual load demand, giving priority to meeting the user's load demand, and optimizing the discharge scheduling to maximize the energy utilization efficiency of the energy storage equipment.

[0010] Preferably, the method for sharing energy storage demand includes: The demand limit values ​​of multiple transformers with the same metering point are combined and calculated to form a total demand limit value; The charging power is allocated according to the weight of the number of energy storage devices on each transformer, ensuring that the power allocation of each energy storage device meets the safe operation threshold of the transformer where it is located.

[0011] Preferably, the energy storage capacity sharing method includes: Combine the anti-reverse flow limit values ​​of multiple transformers with the same metering point to form a total capacity limit value; The discharge power is allocated according to the weight of the number of energy storage devices in each transformer to ensure that the power allocation of each energy storage device meets the safe operation threshold of the transformer where it is located.

[0012] Preferably, the method realizes the optimized operation of the user-side energy storage system by real-time monitoring of the user gateway power and the energy storage device power and dynamically adjusting the charging and discharging parameters, which specifically includes: Based on the number of energy storage cabinets connected to each transformer in a multi-transformer scenario, the weight ratio of the energy storage equipment of each transformer is calculated; in the energy storage demand sharing, the total charging power is allocated according to the weight ratio to ensure that the allocated power does not exceed the safe charging threshold of a single transformer; In energy storage capacity sharing, the total discharge power is allocated according to the weight ratio to ensure that the allocated power is not lower than the anti-reverse current threshold of a single transformer; Through the main control module of the battery management system, the power of the energy storage equipment of each transformer is uniformly dispatched so that the total power meets the control target of demand sharing or capacity sharing.

[0013] Preferably, the setting basis of the user demand limit value, the anti-backflow limit value and the hysteresis value in the optimization scheduling operation mechanism includes the following contents: The user demand limit value is set by analyzing the peak load level of the user's historical power consumption data and taking into account the demand contract constraints of the grid demand side management; The anti-reverse flow limit value is set by evaluating the minimum load level of the user's transformer and adjusted according to the power flow constraint of the user's upstream metering point; The demand differential value and anti-reverse flow differential value are set according to the dynamic response capability of the energy storage device to ensure the stability of the charging and discharging power adjustment; Through the three-level control of the battery management system, the above parameters are monitored and dynamically adjusted in real time to ensure that the user's energy storage system operates efficiently within the limit value range.

[0014] Preferably, the method of real-time monitoring of user gateway power and energy storage device power includes: Collect user's gateway power data in real time through the user gateway table, and record its current value, historical peak value and change trend; The battery management system of the energy storage device collects the charging power or discharging power of the energy storage device in real time and analyzes it in combination with the operating status information of the device; The energy storage management platform integrates the data of user gateway power and energy storage equipment power to form a multi-level data model for dynamic evaluation of energy storage charging and discharging needs; Based on the monitoring data, the power of the energy storage equipment is adjusted in real time through the optimization scheduling algorithm to ensure that the requirements of demand limitation or anti-backflow limitation are met.

[0015] Preferably, the purpose of achieving optimized operation by dynamic charge and discharge adjustment of the energy storage device includes: Reduce the number of times that the energy storage device reaches the user demand limit value or the anti-backflow limit value; Maximize the charging or discharging capacity of energy storage equipment and improve the overall utilization rate of the user's energy storage system.

[0016] The present invention provides a method for user-side energy storage to solve the problem of low user consumption. It has the following beneficial effects: 1. The present invention adopts a technical solution of dynamically adjusting the charging and discharging parameters by real-time monitoring of the user's gateway power and the energy storage device power, achieving the technical effect of accurately controlling the operation of the energy storage device under demand restriction and anti-backflow restriction conditions. Compared with the technical solution in the prior art that cannot be dynamically adjusted according to real-time data, resulting in low energy storage utilization, the problem that the energy storage system cannot efficiently respond to changes in user load is solved.

[0017] 2. The present invention adopts a method of dynamically adjusting the charging power of energy storage equipment by optimizing the scheduling operation mechanism, achieving the technical effect of avoiding the user's over-demand restriction when the charging space is insufficient. Compared with the static regulation method of over-demand constraint in the prior art, the present invention can reduce or increase the charging power in real time according to the change of the gate power, solving the problem of insufficient flexibility and the risk of electricity fee penalty in the traditional method.

[0018] 3. The present invention dynamically adjusts the discharge power of the energy storage device by optimizing the dispatching operation mechanism, and combines the technical solution of energy storage capacity sharing to achieve the technical effect of improving the utilization rate of the energy storage device in the scenario of insufficient discharge space. Compared with the technical solution of fixed output or simple restriction on energy storage discharge in the prior art, it solves the problem of insufficient energy storage power release and grid reverse flow caused by insufficient load.

[0019] 4. The present invention achieves the technical effect of integrating multiple transformer resources and improving the overall charging and discharging capacity of energy storage equipment by combining energy storage demand sharing and capacity sharing technologies in multi-transformer scenarios. The prior art lacks a unified scheduling solution in multi-transformer grid-connected scenarios. The present invention solves the problems of unbalanced resource utilization and low overall system operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Please refer to the attached Figure 1 The embodiment of the present invention provides a method for user-side energy storage to solve the problem of low user consumption, including the following steps: S1. Identify the reasons for low user consumption and determine whether the low consumption is due to insufficient charging space or insufficient discharging space; During the operation of the user-side energy storage system, the problem of low user absorption may manifest itself in two situations: insufficient charging space or insufficient discharge space for the energy storage device. For different absorption difference problems, reasonably and effectively identifying and distinguishing their causes is the basis for subsequent optimization scheduling and resource sharing. In general, by analyzing the user's historical electricity consumption data and the real-time operating status of the energy storage device, the source of the energy storage system's absorption problem can be accurately determined. As an option, the problem can be comprehensively judged by setting demand limit values ​​and anti-backflow limit values, and combining the user's power change trend. In some embodiments, by real-time monitoring of the user's gateway power and the charging and discharging power of the energy storage device, the accuracy of the judgment can be further improved to ensure the pertinence of the optimization measures.

[0023] In this embodiment, in order to distinguish the reasons for low user consumption, a comprehensive judgment method based on data analysis and real-time monitoring is proposed.

[0024] Specifically, by collecting the user's historical electricity consumption data, including the peak, valley, average and load change trends of the gateway power, the user's electricity consumption characteristics are analyzed. In general, these data can be obtained through the user's gateway table records as basic information on the user's overall electricity consumption behavior. At the same time, the charging and discharging data of the energy storage device are collected, including the charging power P2, the discharging power P4, and the operating status. The data of the energy storage device is collected in real time through the battery management system (BMS) and combined with the user data to form a complete data set.

[0025] In a possible implementation, the specific reason for low user consumption can be determined through the dynamic change trend of the gate power P1 and the energy storage power. The formula is as follows: P total =P1+P2-P4 in: P total : Actual power consumption on the user side; P1: threshold power; P2: Charging power of energy storage equipment; P4: Discharge power of energy storage equipment.

[0026] In the case of insufficient charging space, the growth of P2 is usually limited, that is, the energy storage device cannot be charged according to demand. P1 often approaches or exceeds the demand limit value P max For example, in certain specific periods, when P1>P max When the system sends a command to reduce the charging power, the energy storage device cannot be fully charged. In this case, the formula can be expressed as: P total =P max At the same time, the reduction in charging power is: ΔP=P1-P max This adjustment process reflects the characteristics of insufficient charging space.

[0027] As another option, when the discharge space is insufficient, the user's threshold power P3 is usually low, even close to the anti-reverse flow limit value P min At this time, the discharge power P4 of the energy storage device cannot be fully released, which means that the system actively reduces P4 to avoid power flowing back to the upper grid. min When the system adjusts the discharge power according to the following formula: ΔP=P min -P3 in: ΔP: discharge power that needs to be reduced; P min : Anti-backflow limit value.

[0028] In some embodiments, by combining the data changes of the user's gateway power P3 and the energy storage device discharge power P4, it is possible to determine in real time whether the discharge space is sufficient. Through historical data verification, it is found that when the user's transformer load is lower than the discharge capacity of the energy storage device for a long time, and P3 is lower than P4 for many times, min , it can be clearly seen that the discharge space is insufficient.

[0029] In order to further improve the accuracy of the judgment, the operation mode analysis of the energy storage device can also be combined. Specifically, when the energy storage device is in the charging mode, and the system adjusts the charging power multiple times to avoid exceeding the demand limit value, the diagnosis result of insufficient charging space can be further confirmed. When the energy storage device is in the discharging mode, and the system frequently reduces the discharging power to avoid power reflux, the diagnosis result of insufficient discharge space can be further confirmed.

[0030] As a possible extension method, this embodiment can also introduce a load prediction algorithm to predict future load change trends through historical user power consumption data. For example, based on time series analysis and machine learning algorithms, the change trend of the user's gateway power P1 is predicted, and combined with the power adjustment of the energy storage device, it is judged in advance whether there will be a low consumption situation. This method can not only improve the timeliness of diagnosis, but also optimize the scheduling plan before the system is operated.

[0031] Through the above method, this embodiment can accurately distinguish the reasons for low user consumption under dynamic operating conditions, and provide a reliable basis for subsequent optimization scheduling and resource sharing strategies. At the same time, the implementation of this method does not rely on complex hardware transformation, but can be completed by using the existing user gateway table and energy storage equipment management system, which has high practical application value.

[0032] S2. If there is insufficient charging space, the charging power of the energy storage equipment is dynamically adjusted by optimizing the scheduling operation mechanism to ensure that the user's gateway power does not exceed the user's demand limit value. At the same time, in a multi-transformer scenario, the overall charging capacity is increased by sharing the energy storage demand; When the charging space of the user-side energy storage system is insufficient, the user's demand limit may cause the charging capacity of the energy storage equipment to be constrained, affecting the overall operating efficiency of the energy storage system. Generally, when the user's threshold power approaches or exceeds the demand limit value, the energy storage system must limit the charging power to avoid electricity fines or operational risks caused by exceeding the demand limit value. To solve this problem, the present invention proposes an optimized scheduling operation mechanism to ensure that the user's threshold power remains within the demand limit range by dynamically adjusting the charging power of the energy storage equipment. In addition, in a multi-transformer scenario, the energy storage demand sharing technology can be used to integrate the resources of multiple transformers, increase the overall charging capacity, and further alleviate the problem of insufficient charging space.

[0033] In this embodiment, the charging power of the energy storage device is dynamically adjusted by optimizing the scheduling operation mechanism to meet the requirements of demand limitation.

[0034] Specifically, the system sets the demand limit value P max and demand return difference P Δ1 . Real-time collection of the user's gateway power P1 and the energy storage device's charging power P2. Generally, the gateway power P1 is obtained through real-time monitoring of the user's gateway meter, reflecting the user's current total power consumption; while the energy storage device's charging power P2 is collected in real time by the energy storage system's battery management system (BMS) as a direct reflection of the energy storage device's input power.

[0035] When the user's gateway power P1 exceeds the demand limit value P max When the system sends a command to reduce the charging power through the three-level control module of the battery management system, the charging power P2 of the energy storage device will be adjusted according to the following formula: in: is the energy storage charging power at time t; is the energy storage charging power at time t-1; is the user gateway power at time t; P max It is the user demand limit value.

[0036] In some embodiments, when P1 is close to the demand limit but has not yet exceeded P max , that is, P max -P Δ1 When the charging power is less than P1, the system will maintain the current charging power P2 unchanged. At this time, the energy storage device operates at a stable power to avoid unnecessary consumption of the device due to frequent adjustment of the charging power.

[0037] If P1 is lower than P max -P Δ1 , the system will increase the charging power appropriately according to the remaining amount of charging space. The increased charging power is calculated by the following formula: in: ΔP=(P max -P Δ1 )-P1; ΔP is the allowed increase in charging power.

[0038] In a possible implementation, the system dynamically adjusts the charging power P2 to always control the user gateway power P1 within the demand limit value range, and avoids exceeding the demand limit value P2 as much as possible. max At the same time, the system will also dynamically evaluate the adjustment range of the current charging power in combination with the charging capacity of the energy storage device to avoid overcharging or power fluctuations.

[0039] In this embodiment, the energy storage demand sharing technology is also used to improve the charging capacity in the multi-transformer scenario. Specifically, if multiple transformers are connected to the same upper metering point, the system can integrate the demand limit value P of each transformer. max i Forming the total demand limit value P shared max The formula is as follows: in: n is the number of transformers connected to the same metering point; P max i is the demand limit value of the i-th transformer.

[0040] In the multi-transformer scenario, according to the number of energy storage devices N connected to each transformer i Weight allocation is performed to ensure that the overall charging power meets the safe operation threshold of each transformer. The allocated charging power P 2i The calculation formula is: in: P shared total is the total shared charging power; N i is the number of energy storage cabinets connected to the i-th transformer.

[0041] As an option, energy storage demand sharing technology can effectively increase the overall charging capacity by integrating transformer resources, especially in scenarios where a single transformer is limited. This sharing mechanism can balance the charging burden of each transformer and reduce the decline in energy storage utilization caused by insufficient charging space for a single transformer.

[0042] S3. If the discharge space is insufficient, the discharge power of the energy storage equipment is dynamically adjusted by optimizing the dispatching operation mechanism to ensure that the user's gateway power is not lower than the reverse flow prevention limit value. At the same time, in the multi-transformer scenario, the overall discharge capacity is improved by sharing the energy storage capacity; In the operation of the user-side energy storage system, insufficient discharge space is another major reason for poor user absorption. In general, insufficient discharge space is usually manifested as low user load, and the threshold power is close to or even lower than the anti-backflow limit value, resulting in the inability to fully release the discharge power of the energy storage equipment and reduced power utilization. To solve this problem, the present invention proposes an optimized scheduling operation mechanism, which dynamically adjusts the discharge power of the energy storage equipment to ensure that the user's threshold power is maintained above the anti-backflow limit value. At the same time, in a multi-transformer scenario, the energy storage capacity sharing technology is used to integrate transformer resources to further improve the overall discharge capacity of the energy storage equipment. This technical solution can not only effectively alleviate the discharge constraint problem in a single transformer scenario, but also significantly improve the discharge efficiency in a multi-transformer system.

[0043] In this embodiment, in response to the situation of insufficient discharge space, the discharge power of the energy storage device is dynamically adjusted by optimizing the scheduling operation mechanism.

[0044] Specifically, the system sets the anti-backflow limit value P min and anti-backflow difference P Δ2 . Real-time collection of user gateway power P3 and energy storage device discharge power P4. Generally, the gateway power P3 reflects the actual load power of the user and is monitored in real time through the gateway meter; while the discharge power P4 of the energy storage device is recorded in real time by the battery management system (BMS) of the energy storage system as an important parameter of the output power of the energy storage device.

[0045] When P3 is lower than the anti-backflow limit value P min When the battery is fully charged, the system sends a command to reduce the discharge power through the battery management system to prevent excess power from flowing back to the upper grid. This adjustment process can be described by the following formula: in: Indicates the discharge power of the energy storage device at time t; Indicates the discharge power of the energy storage device at time t-1; represents the user gateway power at time t; P min This is the limit value to prevent backflow.

[0046] As an option, when the user's power P3 is at the anti-reverse flow limit value P min and P min +P Δ2 When the system maintains the discharge power of the energy storage device stable, that is: At this time, the discharge power P4 is not adjusted to avoid equipment wear or operation fluctuations caused by frequent adjustments.

[0047] When P3 exceeds When the system increases the discharge power of the energy storage device according to the actual load demand of the user, the increased power can be calculated by the following formula: This dynamic adjustment mechanism ensures that user loads can be fully met while releasing as much remaining power as possible from the energy storage device.

[0048] In one possible implementation, the system combines the user's load demand and the remaining capacity of the energy storage device to dynamically adjust the adjustment range of the discharge power through an optimization algorithm. Specifically, the system predicts the user's load change trend based on historical data and plans the discharge strategy in advance, thereby reducing the number of power adjustments caused by load fluctuations.

[0049] In this embodiment, the energy storage capacity sharing technology is also used to effectively improve the overall discharge capacity in the multi-transformer scenario. Specifically, if multiple transformers are connected to the same upper metering point, the system can integrate the reverse current limit value P of each transformer. min i , forming the total capacity limit value P shared min The formula is as follows: in: n is the number of transformers connected to the same metering point; P min i is the reverse current limit value of the i-th transformer.

[0050] In the multi-transformer scenario, according to the number of energy storage devices N connected to each transformer i The discharge power is weighted to ensure that the overall discharge power meets the safe operation threshold of each transformer. 4i The calculation formula is: in: P discharge total is the total shared discharge power; N i is the number of energy storage cabinets connected to the i-th transformer.

[0051] As an option, energy storage capacity sharing technology can evenly distribute discharge tasks in multi-transformer scenarios, thereby making full use of energy storage resources. In some specific scenarios, such as industrial parks or energy storage systems with shared access by multiple users, capacity sharing technology can effectively improve the overall discharge efficiency and reduce the discharge restriction problem caused by low load on a single transformer.

[0052] S4. By real-time monitoring of user gateway power and energy storage equipment power, the charging and discharging parameters are dynamically adjusted to achieve optimized operation of the user-side energy storage system.

[0053] During the operation of the user-side energy storage system, real-time monitoring of the user's gateway power and the energy storage device power, and dynamic adjustment of the charging and discharging parameters are important means to achieve the optimized operation of the energy storage system. In general, the user's gateway power directly reflects the user's power load, while the energy storage device power represents the working status of the energy storage system in the charging or discharging mode. Through real-time monitoring and analysis of the two, the charging and discharging power of the energy storage device can be dynamically adjusted while ensuring that the user's demand limit value or the anti-backflow limit value is not exceeded, thereby optimizing the overall operating efficiency of the energy storage device. In some embodiments, historical data can also be combined with dynamic prediction algorithms to further improve the accuracy and intelligence of scheduling.

[0054] In this embodiment, by real-time monitoring of user gateway power and energy storage device power, dynamic adjustment of charging and discharging parameters is achieved for optimal operation.

[0055] Specifically, the system collects the user's gateway power P1 and the energy storage device's charging and discharging power P2 or P4 in real time. Generally, the user's gateway power is obtained through the user's gateway table, and the data includes real-time power values ​​and historical records, while the energy storage device's charging and discharging power is obtained through the energy storage device's battery management system (BMS), and the data includes the energy storage device's current power state and operating mode.

[0056] In a possible extended implementation, the system combines historical data and real-time data to predict the user's power demand using a dynamic prediction algorithm. For example, based on the time series analysis method, the changing trend of the user's gateway power P1 in the future is predicted. Combined with the prediction results, the system can adjust the charging and discharging power of the energy storage device in advance to avoid operational fluctuations caused by delayed adjustment. For this prediction process, the formula can be expressed as: in: is the predicted future threshold power; is the historical threshold power data; f(.) is the prediction algorithm function.

[0057] In some embodiments, the system also supports distributed multi-transformer monitoring and regulation. In a multi-transformer scenario, the threshold power P of each transformer is 1i and energy storage power P 2i or P 4i All are monitored in real time. The system integrates the data of all transformers through the energy storage management platform and dynamically adjusts the energy storage device power of each transformer according to the rules of demand sharing or capacity sharing. The overall power distribution of the multi-transformer scenario can be expressed as: in: P total is the total threshold power of all transformers; P 1i is the threshold power of the i-th transformer.

[0058] By integrating the power of the energy storage devices of each transformer, the system can balance the workload of each energy storage device and improve the operating efficiency of the overall energy storage system.

[0059] The monitoring and adjustment mechanism of this embodiment also achieves rapid response through a three-level control architecture. Specifically, the first-level control is responsible for data collection, the second-level control is responsible for data analysis and prediction, and the third-level control is responsible for outputting adjustment instructions. Through this hierarchical design, the system can complete dynamic power adjustment within milliseconds to ensure stable operation of energy storage equipment under rapidly changing load conditions.

[0060] Through the above method, this embodiment realizes real-time monitoring and dynamic adjustment of user gateway power and energy storage device power, ensuring that the energy storage system can maintain efficient operation in various complex scenarios. This mechanism not only significantly improves the utilization rate of energy storage equipment, but also effectively reduces the economic and safety problems caused by excessive demand or power backflow.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for solving low user consumption by storing energy on the user side, characterized in that: The following steps are involved: Distinguish the reasons for low user consumption and determine whether the low consumption is due to insufficient charging space or insufficient discharging space; If there is insufficient charging space, the charging power of the energy storage equipment is dynamically adjusted by optimizing the scheduling operation mechanism to ensure that the user's gateway power does not exceed the user's demand limit. At the same time, in a multi-transformer scenario, the overall charging capacity is increased by sharing the energy storage demand. If the discharge space is insufficient, the discharge power of the energy storage equipment is dynamically adjusted by optimizing the dispatching operation mechanism to ensure that the user's gateway power is not lower than the reverse flow prevention limit value. At the same time, in the multi-transformer scenario, the overall discharge capacity is improved by sharing the energy storage capacity. By real-time monitoring of user gateway power and energy storage equipment power, the charging and discharging parameters are dynamically adjusted to achieve optimized operation of the user-side energy storage system.

2. A method for solving low user consumption by user-side energy storage according to claim 1, characterized in that: The reasons for distinguishing user consumption include: Collect historical operation data of user gateway power and real-time operation data of energy storage equipment charging and discharging; Analyze the user's power load characteristics and the working status of the energy storage equipment; When the user's gateway power approaches or exceeds the demand limit value multiple times and the energy storage charging power is limited, it is judged that there is insufficient charging space; When the user load is lower than the discharge capacity of the energy storage device for a long time and the user gateway power is close to or lower than the anti-backflow limit value for many times, it is judged that the discharge space is insufficient.

3. A method for solving low user consumption by user-side energy storage according to claim 1, characterized in that: The optimization scheduling operation mechanism dynamically adjusts the charging power of the energy storage device including: Set user demand limit value and hysteresis value, and monitor the power at the gateway in real time based on the battery management system of the energy storage system; When the user's gateway power exceeds the demand limit, the energy storage system will prioritize reducing the charging power, and prevent the user from exceeding the demand contract limit by reducing the input power of the energy storage device; When the user's gateway power is between the demand limit value and the demand differential value, the charging power of the energy storage device is maintained unchanged to ensure smooth operation; When the user's gateway power is lower than the demand limit value minus the demand differential value, the energy storage system increases the charging power according to the remaining charging space and the available capacity of the energy storage equipment, while optimizing the charging scheduling strategy to maximize the amount of energy storage.

4. A method for solving low user consumption by user-side energy storage according to claim 1, characterized in that: The optimized scheduling operation mechanism dynamically adjusts the discharge power of the energy storage device including: Set the anti-backflow limit value and hysteresis value, and dynamically adjust the real-time changes of the user's gateway power through the battery management system of the energy storage system; When the user's gateway power is lower than the anti-backflow limit value, the energy storage system reduces the discharge power and avoids the situation where power flows back to the upper grid by reducing the output power of the energy storage equipment; When the user's gateway power is between the anti-backflow limit value and the anti-backflow limit value plus the difference, the discharge power of the energy storage device is maintained stable to avoid frequent adjustments that affect the operating life of the equipment; When the user's gateway power is higher than the anti-backflow limit value plus the difference, the discharge power is increased according to the user's actual load demand, giving priority to meeting the user's load demand, and optimizing the discharge scheduling to maximize the energy utilization efficiency of the energy storage equipment.

5. The method for solving low user consumption by user-side energy storage according to claim 1 is characterized in that: The method for sharing energy storage demand includes: The demand limit values ​​of multiple transformers with the same metering point are combined and calculated to form a total demand limit value; The charging power is allocated according to the weight of the number of energy storage devices on each transformer, ensuring that the power allocation of each energy storage device meets the safe operation threshold of the transformer where it is located.

6. A method for solving low user consumption by storing energy on the user side according to claim 1, characterized in that: The energy storage capacity sharing method comprises: Combine the anti-reverse flow limit values ​​of multiple transformers with the same metering point to form a total capacity limit value; The discharge power is distributed according to the weight of the number of energy storage devices in each transformer, ensuring that the power distribution of each energy storage device meets the safe operation threshold of the transformer where it is located.

7. The method for solving low user consumption by user-side energy storage according to claim 1 is characterized in that: The above mentioned method realizes the optimized operation of the user-side energy storage system by real-time monitoring of the user gateway power and the energy storage device power and dynamically adjusting the charging and discharging parameters, specifically including: Based on the number of energy storage cabinets connected to each transformer in a multi-transformer scenario, calculate the weight ratio of energy storage equipment for each transformer; In energy storage demand sharing, the total charging power is allocated according to the weight ratio to ensure that the allocated power does not exceed the safe charging threshold of a single transformer; In energy storage capacity sharing, the total discharge power is allocated according to the weight ratio to ensure that the allocated power is not lower than the anti-reverse current threshold of a single transformer; Through the main control module of the battery management system, the power of the energy storage equipment of each transformer is uniformly dispatched so that the total power meets the control target of demand sharing or capacity sharing.

8. The method for solving low user consumption by user-side energy storage according to claim 1 is characterized in that: The basis for setting the user demand limit value, the anti-backflow limit value and the hysteresis value in the optimization scheduling operation mechanism includes the following contents: The user demand limit value is set by analyzing the peak load level of the user's historical power consumption data and taking into account the demand contract constraints of the grid demand side management; The anti-reverse flow limit value is set by evaluating the minimum load level of the user's transformer and adjusted according to the power flow constraint of the user's upstream metering point; The demand differential value and anti-reverse flow differential value are set according to the dynamic response capability of the energy storage device to ensure the stability of the charging and discharging power adjustment; Through the three-level control of the battery management system, the above parameters are monitored and dynamically adjusted in real time to ensure that the user's energy storage system operates efficiently within the limit value range.

9. A method for solving low user consumption by storing energy on the user side according to claim 1, characterized in that: The method of real-time monitoring of user gateway power and energy storage device power includes: Collect user's gateway power data in real time through the user gateway table, and record its current value, historical peak value and change trend; The battery management system of the energy storage device collects the charging power or discharging power of the energy storage device in real time and analyzes it in combination with the operating status information of the device; The energy storage management platform integrates the data of user gateway power and energy storage equipment power to form a multi-level data model for dynamic evaluation of energy storage charging and discharging needs; Based on the monitoring data, the power of the energy storage equipment is adjusted in real time through the optimization scheduling algorithm to ensure that the requirements of demand limitation or anti-backflow limitation are met.

10. A method for solving low user consumption by storing energy on the user side according to claim 1, characterized in that: The purpose of achieving optimized operation by dynamic charge and discharge adjustment of the energy storage device includes: Reduce the number of times that the energy storage device reaches the user demand limit value or the anti-backflow limit value; Maximize the charging or discharging capacity of energy storage equipment and improve the overall utilization rate of the user's energy storage system.

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