Intelligent energy storage control system

Abstract

The intelligent energy storage control system comprises an energy storage battery pack, a battery management module, a background control module, an intelligent analysis module, an electric appliance module and a safety module, the energy storage battery module is used for realizing mutual conversion between electric energy and chemical energy, monitoring the temperature and humidity of a battery pack, and sending battery data to the intelligent analysis module; the battery management module is used for regulating and controlling the voltage, the current and the charge-discharge rate of the energy storage battery pack; the background control module is used for regulating and controlling the analyzed electric energy storage data and distributing the processed data to the safety module and the electric appliance module; the electric appliance module is used for controlling current and voltage among electric appliances; the power equipment is utilized more effectively, the power utilization cost is reduced, and the application of renewable energy sources can be promoted.

Description

Technical Field

[0001] The present application belongs to the field of power control technology, and specifically relates to an intelligent energy storage control system. Background Art

[0002] With the global energy supply tension, global climate change and environmental pollution, more and more countries have realized the importance of new energy. Clean energy generation such as solar power generation and wind power generation has received great attention due to its advantages of low environmental pollution and inexhaustible supply in development and utilization. Wind power and solar power are greatly affected by weather conditions and geographical environment, so large-scale wind power grid connection also brings many defects. Large-scale distributed power grid connection, the fluctuation of its output power seriously threatens the stability and security of the power system. With the increase in the proportion of wind power, the power dispatching department has increased the workload and the pressure of frequency regulation and peak regulation. At the same time, due to the fluctuation of power and frequency, the quality of grid voltage has declined.

[0003] After searching, the Chinese patent number CN118199235A discloses a solar energy and battery hybrid low-voltage energy boosting system. Through the hybrid utilization of solar energy and batteries, the system can achieve efficient energy conversion and utilization, thereby reducing energy consumption and saving household energy expenditure. Combined with the dynamic allocation of load energy, it can meet the energy requirements under different load requirements to the greatest extent. By selecting the appropriate voltage level, it can meet the energy requirements under different loads and requirements, and the low voltage is suitable for human safety voltage;

[0004] However, the above-mentioned power control system is difficult to be intelligently regulated during operation, lacks predictive maintenance and adjustment modules, and safety maintenance modules, and is difficult to be dynamically adjusted in real time. Therefore, an intelligent energy storage control system is proposed. Summary of the invention

[0005] This application proposes an intelligent energy storage control system, which solves the problems of difficult intelligent regulation, lack of predictive maintenance, adjustment modules and safety maintenance modules, so that dynamic regulation can be performed in real time.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] A smart energy storage control system, comprising: an energy storage battery pack, a battery management module, a background control module, an intelligent analysis module, an electrical appliance module and a safety module;

[0008] The energy storage battery module is used to realize the mutual conversion between electrical energy and chemical energy, monitor the temperature and humidity of the battery pack, and send the battery data to the intelligent analysis module;

[0009] The battery management module is used to regulate the voltage, current and charge and discharge rate of the energy storage battery pack;

[0010] The background control module is used to regulate the analyzed power storage data and distribute the processed data to the security module and the electrical appliance module;

[0011] The electrical appliance module is used to control the current and voltage between the electrical appliances;

[0012] The intelligent analysis module is used to monitor and analyze the data transmitted during the use of energy storage batteries, battery management and electrical appliances, and transmit the analyzed data to the background control module;

[0013] The security module is used to obtain abnormal data and maintenance data in the background control module, and to make prompts or alarms for the data.

[0014] Preferably, the energy storage battery module uses lithium iron phosphate batteries as power storage devices. Multiple groups of lithium iron phosphate battery packs are connected in series, and monitoring sensors are added to each battery pack. The monitoring sensors monitor the battery pack voltage, current, charge and discharge rate, temperature of a single battery pack and humidity between battery packs, and detect and acquire data on the working environment and status of the battery pack, thereby providing sufficient data for analysis.

[0015] Preferably, the battery management module monitors the voltage of each battery cell in real time through the BMS, and the open circuit voltage reflects the remaining power H of the battery, and controls the current flow between the individual cells in the battery pack, by time-integrating the current flowing into or out of the battery pack during the charging and discharging process, and calculating the total power of the battery pack:

[0016]

[0017] Where Q is the charge of the battery pack, I(t) is the current at time t, and the BMS monitors the charge and discharge current of the battery pack and operates within the allowed current range. The current charge of a single battery pack is obtained by taking the average value of H and Q.

[0018] Limit the charging current during charging and control the charging and discharging rate. The impact of the battery charging and discharging rate on the available capacity of the battery pack.

[0019] Where t is the battery usage time, C is the rated capacity of the battery, I is the current discharge current of the battery, and k is the Peukert index, which describes the performance of the battery at different discharge rates;

[0020] The charge and discharge rate is related to the temperature monitoring of the battery pack. By controlling the charge and discharge rate and cutting off the connection between the battery pack and the load when the voltage exceeds the safe range, the average value can be obtained to obtain the current battery data of the battery pack more accurately.

[0021] Preferably, the intelligent analysis module collects household energy consumption data, which is data obtained from the electrical appliance module, and performs model verification on the existing data set. The model verification uses the trained ARIMA model to predict energy demand for a period of time in the future by evaluating the fitting effect and prediction accuracy of the model:

[0022]

[0023] Among them, l t is the predicted value of the level at time t, α is the smoothing coefficient, and y t is the observed value at time t, s t-L is the seasonal index at time tL;

[0024] b t =β·(l t -l t-1 )+(1-β)·b t-1

[0025] b t is the trend forecast value at time t, β is the trend smoothing coefficient, and the power storage and release strategy is adjusted according to the forecast results to optimize the charging and discharging strategy of the energy storage system, thereby increasing the service life of the battery and reducing the number of battery charge and discharge cycles.

[0026] Preferably, the background control module performs predictive regulation on battery management by acquiring analysis data, and judges the battery power. When the battery power is greater than 20% and less than 80%, the power price in the current time period is compared with the cost of storing electricity in the battery pack. When the power price in this time period is greater than the cost of storing electricity in the battery pack, the battery pack is preferentially used to store electricity.

[0027] When the electricity price in this time period is lower than the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first;

[0028] When the electricity price in this time period is equal to the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first.

[0029] Preferably, the electrical appliance module obtains the usage time period, power, current and voltage of each electrical appliance during use, and records and saves the data, while controlling each electrical appliance at the same time. By obtaining data on the usage habit of electrical appliances, the electrical appliances that have not been used or have been used less frequently in the past time period are powered off.

[0030] Preferably, the security module obtains the analyzed system operation results, prompts the abnormalities in the system, and issues an alarm for emergency signals in the system, so as to deal with the system problems in time and reduce the losses caused by sudden system problems.

[0031] The beneficial effects of this application are:

[0032] The present application discloses a smart energy storage control system, which can complete the system of storing electric energy and supplying power in household batteries, and has the functions of smooth transition, peak shaving and valley filling, frequency modulation and voltage regulation, etc. It can make the output of solar and wind power generation smooth, reduce the impact of its randomness, intermittency and volatility on the power grid and users; by charging during the valley price period and discharging during the peak price period, the user's electricity bill expenditure can be reduced; at the same time, when the large power grid is out of power, it can operate in an isolated island to ensure uninterrupted power supply to users. The energy storage system is an important part of the "collection-generation-transmission-distribution-use-storage" of the power system; it obtains the use time period, power and current and voltage of each electrical appliance during use, and records and saves the data, and at the same time controls each electrical appliance to reduce standby power consumption. The energy storage system can effectively realize demand-side management, eliminate the peak-valley difference between day and night, and smooth the load. It can not only make more effective use of power equipment and reduce electricity costs, but also promote the application of renewable energy. It can also be used as an effective means to improve the stability of system operation, participate in frequency modulation and voltage regulation, and compensate for load fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solution of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0034] Figure 1 This is a schematic diagram of the structure of an intelligent energy storage control system according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0036] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0037] Embodiment 1:

[0038] like Figure 1 As shown, it is a structural schematic diagram of a smart energy storage control system according to an embodiment of the present application, including: an energy storage battery pack, a battery management module, a background control module, an intelligent analysis module, an electrical appliance module and a safety module; the energy storage battery module is used to realize the mutual conversion between electrical energy and chemical energy, and monitor the temperature and humidity of the battery pack, and send the battery data to the intelligent analysis module; the battery management module is used to control the voltage, current and charge and discharge rate of the energy storage battery pack; the background control module is used to control the analyzed power storage data, and distribute the processed data to the safety module and the electrical appliance module; the electrical appliance module is used to control the current and voltage between the electrical appliances;

[0039] The intelligent analysis module is used to monitor and analyze the data transmitted from the energy storage battery, battery management and electrical appliance use process, and transmit the analyzed data to the background control module; the security module is used to obtain abnormal data and maintenance data in the background control module, and make prompts or alarms for the data;

[0040] The energy storage battery module uses lithium iron phosphate batteries as power storage devices. Multiple groups of lithium iron phosphate battery packs are connected in series, and monitoring sensors are added to each battery pack. The monitoring sensors monitor the voltage, current, charge and discharge rate of the battery pack, the temperature of a single battery pack, and the humidity between battery packs.

[0041] The battery management module monitors the voltage of each battery cell in real time through the BMS. The open circuit voltage reflects the remaining power H of the battery and controls the current flow between the individual cells in the battery pack. It integrates the current flowing into or out of the battery pack during the charging and discharging process and calculates the total power of the battery pack:

[0042]

[0043] Where Q is the charge of the battery pack, I(t) is the current at time t, and the BMS monitors the charge and discharge current of the battery pack and operates within the allowed current range. The current charge of a single battery pack is obtained by taking the average value of H and Q.

[0044] Limit the charging current during charging and control the charging and discharging rate. The impact of the battery charging and discharging rate on the available capacity of the battery pack.

[0045] Among them, t is the battery usage time, C is the rated capacity of the battery, I is the current discharge current of the battery, and k is the Peukert index, which describes the performance of the battery at different discharge rates. The charge and discharge rate is related to the temperature monitoring of the battery pack. By controlling the charge and discharge rate, the connection between the battery pack and the load is cut off when the voltage exceeds the safe range. The electrical appliance module obtains the usage time period, power, current and voltage of each electrical appliance during use, and records and saves the data. At the same time, each electrical appliance is controlled to reduce standby power consumption. The safety module obtains the analyzed system operation results, prompts the abnormalities in the system, and issues an alarm for emergency signals in the system.

[0046] The energy storage battery pack obtains the signal from the battery management module, uses lithium iron phosphate batteries as power storage devices, and controls battery charging and discharging by connecting multiple groups of lithium iron phosphate battery packs in series. The battery management module obtains data from the background control module and monitors the voltage of each battery cell in real time through the BMS. The open circuit voltage reflects the remaining power H of the battery, and controls the current flow between the cells in the battery pack. The current flowing into or out of the battery pack during the charging and discharging process is integrated over time, and the total power of the battery pack is calculated. The charging and discharging rate is related to the temperature monitoring of the battery pack. By controlling the charging and discharging rate, the connection between the battery pack and the load is cut off when the voltage exceeds the safe range. The use time period, power, current and voltage of each electrical appliance are obtained, and the data is recorded and saved. At the same time, each electrical appliance is controlled to reduce standby power consumption. By obtaining the analyzed system operation results, abnormalities in the system are prompted, and emergency signals in the system are alarmed.

[0047] Embodiment 2:

[0048] The intelligent analysis module collects household energy consumption data from the electrical appliance module and performs model verification on the existing data set. The model verification uses the trained ARIMA model to predict energy demand for a period of time in the future by evaluating the model's fitting effect and prediction accuracy.

[0049]

[0050] Among them, l t is the predicted value of the level at time t, α is the smoothing coefficient, and y t is the observed value at time t, s t-L is the seasonal index at time tL;

[0051] b t =β·(l t -l t-1 )+(1-β)·b t-1

[0052] b t is the trend forecast value at time t, β is the trend smoothing coefficient, and the power storage and release strategies are adjusted according to the forecast results to optimize the charging and discharging strategies of the energy storage system, improve the system operation stability, participate in frequency and voltage regulation, and compensate for load fluctuations.

[0053] The background control module obtains and analyzes data to perform predictive regulation on battery management. By judging the battery power level, when the battery power level is greater than 20% and less than 80%, the module compares the electricity price in the current time period with the cost of storing electricity in the battery pack. When the electricity price in this time period is greater than the cost of storing electricity in the battery pack, the battery pack is used to store electricity first.

[0054] When the electricity price in this time period is lower than the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first;

[0055] When the electricity price in this time period is equal to the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first.

[0056] The intelligent analysis module collects household energy consumption data by acquiring data from the energy storage battery pack, battery management module and electrical appliance module. The energy consumption data is obtained from the electrical appliance module and the model is verified on the existing data set. The model verification evaluates the fitting effect and prediction accuracy of the model, uses the trained ARIMA model to predict the energy demand for a period of time in the future, analyzes the data, and sends the data to the background control module to obtain the analysis data and perform predictive regulation on battery management. By judging the battery power, when the battery power is greater than 20% and less than 80%, it compares the electricity price in the current time period and the cost of storing electricity in the battery pack.

[0057] The above embodiments are only descriptions of the preferred embodiments of the present application, and are not intended to limit the scope of the present application. Without departing from the design spirit of the present application, various modifications and improvements made to the technical solutions of the present application by ordinary technicians in this field should fall within the scope of protection determined by the claims of the present application.

Claims

1. A smart energy storage control system, characterized in that: include: Energy storage battery pack, battery management module, background control module, intelligent analysis module, electrical appliance module and safety module; The energy storage battery module is used to realize the mutual conversion between electrical energy and chemical energy, monitor the temperature and humidity of the battery pack, and send the battery data to the intelligent analysis module; The battery management module is used to regulate the voltage, current and charge and discharge rate of the energy storage battery pack; The background control module is used to regulate the analyzed power storage data and distribute the processed data to the security module and the electrical appliance module; The electrical appliance module is used to control the current and voltage between the electrical appliances; The intelligent analysis module is used to monitor and analyze the data transmitted during the use of energy storage batteries, battery management and electrical appliances, and transmit the analyzed data to the background control module; The security module is used to obtain abnormal data and maintenance data in the background control module, and to make prompts or alarms for the data.

2. The intelligent energy storage control system according to claim 1, characterized in that: The energy storage battery module adopts lithium iron phosphate battery as the power storage device. Multiple groups of lithium iron phosphate battery packs are connected in series, and monitoring sensors are added to each battery pack. The monitoring sensors monitor the voltage, current, charge and discharge rate of the battery pack, the temperature of a single battery pack and the humidity between battery packs.

3. The intelligent energy storage control system according to claim 1, characterized in that: The battery management module monitors the voltage of each battery cell in real time through the BMS. The open circuit voltage reflects the remaining power H of the battery, and controls the current flow between the individual cells in the battery pack. It integrates the current flowing into or out of the battery pack during the charging and discharging process, and calculates the total power of the battery pack: Where Q is the charge of the battery pack, I(t) is the current at time t, and the BMS monitors the charge and discharge current of the battery pack and operates within the allowed current range. The current charge of a single battery pack is obtained by taking the average value of H and Q. Limit the charging current during charging and control the charging and discharging rate. The impact of the battery charging and discharging rate on the available capacity of the battery pack. Where t is the battery usage time, C is the rated capacity of the battery, I is the current discharge current of the battery, and k is the Peukert index, which describes the performance of the battery at different discharge rates; The charge and discharge rate is related to the temperature monitoring of the battery pack. By controlling the charge and discharge rate, the connection between the battery pack and the load is cut off when the voltage exceeds the safe range.

4. The intelligent energy storage control system according to claim 1, characterized in that: The intelligent analysis module collects household energy consumption data, which is obtained from the electrical appliance module, and performs model verification on the existing data set. The model verification uses the trained ARIMA model to predict energy demand for a period of time in the future by evaluating the fitting effect and prediction accuracy of the model: Among them, l t is the predicted value of the level at time t, α is the smoothing coefficient, and y t is the observed value at time t, s t-L is the seasonal index at time tL; b t =β·(l t -l t-1 )+(1-b)·b t-1 b t is the trend forecast value at time t, β is the trend smoothing coefficient, and the power storage and release strategy is adjusted according to the forecast results.

5. The intelligent energy storage control system according to claim 1, characterized in that: The background control module performs predictive regulation on battery management by acquiring analysis data, and judges the battery power. When the battery power is greater than 20% and less than 80%, the power price in the current time period is compared with the cost of storing electricity in the battery pack. When the power price in this time period is greater than the cost of storing electricity in the battery pack, the battery pack is used to store electricity first; When the electricity price in this time period is lower than the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first; When the electricity price in this time period is equal to the cost of storing electricity in the battery pack, the grid electricity in the current time period is used first.

6. The intelligent energy storage control system according to claim 1, characterized in that: The electrical appliance module obtains the usage time period, power, current and voltage of each electrical appliance during use, and records and saves the data. At the same time, it controls each electrical appliance, and through the acquisition of data on the usage habits of electrical appliances, it cuts off the power supply to electrical appliances that have not been used or have been used less frequently in the past time period.

7. The intelligent energy storage control system according to claim 1, characterized in that: The safety module obtains and analyzes the system operation results, prompts abnormalities in the system, and issues an alarm for emergency signals in the system.

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