Multifunctional energy storage power station scene adaptation control system

Abstract

The present invention discloses a multifunctional energy storage power station scene adaptation control system, which belongs to the field of energy storage power station control. The multifunctional energy storage power station scene adaptation control system includes: a demand analysis module, a data acquisition module, a management strategy design module, a control result analysis module and a stability optimization and maintenance module. The present invention analyzes the energy storage power station control stability index, and then issues an alarm prompt according to the energy storage power station control stability index, quickly responds to the alarm prompt, notifies the user to optimize the multifunctional energy storage power station scene adaptation control system, and regularly notifies the user to maintain the stability of the multifunctional energy storage power station scene adaptation control system, thereby improving the stability of the multifunctional energy storage power station scene adaptation control, and solves the problem of low stability of the multifunctional energy storage power station scene adaptation control in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of energy storage power station control technology, and in particular to a multifunctional energy storage power station scene adaptation control system. Background Art

[0002] As the global demand for renewable energy and power system stability continues to grow, multifunctional energy storage power stations have become a key technical solution. Multifunctional energy storage power stations are facilities that can store electrical energy and release it when needed. They can not only balance the supply and demand differences in the power system and provide flexible power dispatch, but also cope with peak and valley loads and improve the stability and reliability of the power grid. Scenario-adaptive control of multifunctional energy storage power stations refers to the efficient and stable operation of energy storage power stations through intelligent management systems and advanced control strategies based on the specific application scenarios of the energy storage power station, such as grid peak regulation, frequency and voltage regulation, emergency power supply, etc.; scenario-adaptive control of multifunctional energy storage power stations can respond to grid demand in real time, optimize power resource allocation, improve energy storage utilization, and thus improve the stability and reliability of the power system.

[0003] At present, there are many researches in the field of energy storage power station control technology. For example, Chinese invention patent CN116885849A has developed a monitoring system for energy storage power station, which includes a station control layer, a process layer and an interval layer connected in sequence from top to bottom; the station control layer adopts a dual star network structure; the process layer includes an information network and a control network, the information network adopts a ring network, and the control network adopts a star network; the information network is partitioned according to the physical capacity of the energy storage power station; the interval layer adopts a star network structure; the interval layer includes multiple battery containers, and each partition in the process layer is connected to part of the battery containers in the interval layer; an optical fiber ring network is used between different battery containers, and a second ring network switch is included in each battery container; a second coordination controller and a second control network switch are used in each battery container in the interval layer to connect to the energy conversion system and the battery management system For example, Chinese invention patent CN112564150B discloses a control system for an energy storage power station, which includes a production monitoring module, a production control module, a scheduling module and a cloud platform. The production monitoring module is used to monitor each energy storage site and transmit monitoring data. The production control module is used to receive and process the monitoring data of each production monitoring module and receive control commands from the scheduling module and the cloud platform. The scheduling module is used to schedule and control the work of each energy storage power station. The production monitoring module is communicatively connected to the production control module. The production control module is communicatively connected to the scheduling module and the cloud platform respectively. The scheduling module has the ability to interact with the cloud platform. The cloud platform can be used for data storage and analysis, thereby improving the operating efficiency of the system, improving the scheduling response speed of each energy storage power station, realizing real-time monitoring, and reducing costs.

[0004] However, with the large-scale access of new energy sources, the system's rotational inertia has decreased and its frequency regulation capability has declined, resulting in faster frequency changes and larger fluctuations. At the same time, new energy power generation equipment has the characteristics of rapid response, which may cause grid-related stability problems for power electronic devices in the medium and high frequency bands. Moreover, the dynamic reactive power support capability of new energy units is weaker than that of conventional power sources. As the proportion of new energy sources increases rapidly, the system's dynamic reactive power reserves and support capabilities drop sharply, and the system voltage stability problem becomes prominent, resulting in reduced control stability in the scenarios of multifunctional energy storage power stations.

[0005] Therefore, in summary, the existing technology has the problem of low stability in scene adaptation control of multifunctional energy storage power stations. Summary of the invention

[0006] The embodiment of the present application solves the problem of low scene adaptation control stability of a multifunctional energy storage power station in the prior art by providing a scene adaptation control system for a multifunctional energy storage power station, thereby improving the scene adaptation control stability of the multifunctional energy storage power station.

[0007] The embodiment of the present application provides a multifunctional energy storage power station scenario adaptation control system, including: a demand analysis module, a data acquisition module, a management strategy design module, a control result analysis module and a stability optimization and maintenance module; wherein the demand analysis module is used to analyze the specific application scenarios and functional requirements of the energy storage power station, analyze the functional requirements of the energy storage power station, select energy storage equipment and build an overall energy storage architecture according to the functional requirements of the energy storage power station; the data acquisition module is used to collect real-time monitoring data of the energy storage power station, pre-process the real-time monitoring data of the energy storage power station, and analyze the data acquisition stability index, which is used to evaluate the stability of the real-time monitoring data of the energy storage power station collected by sensors; the management strategy design module is used to build and deploy energy storage power station management strategies; the control The control result analysis module is used to monitor the user's operation content on the scene adaptation control result of the multifunctional energy storage power station in real time, obtain the real-time monitoring data of the user operation, and analyze the energy storage power station control effect index. The energy storage power station control effect index is used to evaluate the user's satisfaction with the stability of the scene adaptation control result of the multifunctional energy storage power station; the stability optimization and maintenance module is used to analyze the energy storage power station control stability index according to the data acquisition stability index, the energy storage power station control effect index and the used cycle life of the energy storage power station, and notify the user to perform selective optimization according to the energy storage power station control stability index, and notify the user to perform routine and periodic maintenance on the stability of the scene adaptation control system of the multifunctional energy storage power station. The energy storage power station control stability index is used to evaluate the stability of the current scene adaptation control system of the multifunctional energy storage power station.

[0008] Furthermore, the specific method for analyzing the functional requirements of the energy storage power station is: obtaining specific application scenario information of the energy storage power station, classifying the specific application scenario information, and for each type of application scenario, analyzing the characteristic data corresponding to each type of application scenario, and determining the functional requirements of the energy storage power station according to the characteristic data of the specific application scenario of the energy storage power station; according to the functional requirements of the energy storage power station, adjusting the configuration and control strategy of the energy storage architecture, and selecting the corresponding category of energy storage power station energy storage equipment, inverter, controller, communication equipment and data storage equipment.

[0009] Furthermore, the specific method for collecting real-time monitoring data of the energy storage power station is: through sensors at designated locations of the energy storage power station, real-time sensing and collecting real-time monitoring data of the energy storage power station; the collected real-time monitoring data of the energy storage power station is transmitted to a data storage device by using communication equipment for storage.

[0010] Furthermore, the specific method for preprocessing the real-time monitoring data of the energy storage power station is as follows: the real-time monitoring data of the energy storage power station is obtained from the data storage device of the energy storage power station, and the missing data is filled by the interpolation method; the fluctuations in the data caused by random noise are processed by a smoothing algorithm; after converting all the data into a unified unit of measurement, the real-time monitoring data of the energy storage power station is converted into a format that can be recognized by the system; and the real-time monitoring data of the energy storage power station after the preprocessing is completed is stored again in the data storage device.

[0011] Furthermore, the specific method for analyzing the data acquisition stability index is: analyzing the service life of the sensor by obtaining the sensor installation date and the current date, using an electromagnetic interference measuring instrument to measure the electromagnetic environment on site of the energy storage power station to obtain electromagnetic interference data, and comparing the data measured by the sensor with the known standard value to analyze the error to obtain the sensor accuracy data; obtaining the preset sensor service life, electromagnetic interference and sensor accuracy weight ratio values ​​for the data acquisition stability index from the data storage device; constructing a data acquisition stability index analysis formula based on the sensor service life, electromagnetic interference and sensor accuracy; and analyzing the data acquisition stability index based on the data acquisition stability index analysis formula.

[0012] Furthermore, the specific method for constructing and deploying the energy storage power station management strategy is: according to the functional requirements of the energy storage power station, construct the charging and discharging strategy, power output strategy and charging and discharging cycle strategy of the energy storage power station; the charging and discharging strategy of the energy storage power station is to charge the energy storage power station when the energy price is lower than the low energy price threshold, and to discharge when the energy price is not lower than the high energy price threshold; the power output strategy of the energy storage power station is to meet the load demand of the power grid while maintaining the stable operation of the energy storage power station; the charging and discharging cycle strategy of the energy storage power station is to consider the life management of the energy storage power station and extend the service life of the energy storage power station; when implementing the energy storage power station management strategy, data transmission and synchronization mechanism are operated inside the energy storage power station, and the user terminal interface outside the energy storage power station provides visualization data and user control interface.

[0013] Furthermore, the specific method for obtaining real-time monitoring data of user operations is as follows: constructing a visualized display platform for scene adaptation control results of a multifunctional energy storage power station, connecting the display platform with a user terminal interface outside the energy storage power station, and obtaining visualization data and user operation functions; monitoring the user's operation content on the scene adaptation control results of the multifunctional energy storage power station in real time through the display platform, obtaining real-time monitoring data of user operations, and storing the obtained real-time monitoring data of user operations in a data storage device of the energy storage power station.

[0014] Furthermore, the specific method for analyzing the control effect index of the energy storage power station is as follows: each time a user performs an operation, the result of the operation is automatically recorded and recorded as a successful user operation, and the operation result data of all users are statistically summarized to obtain the number of successful user operations; the satisfaction feedback data provided by the user after each operation is completed is obtained, and when the satisfaction exceeds the satisfaction threshold, it is recorded as user satisfaction, and the satisfaction feedback data of all users are statistically summarized to obtain the number of user satisfaction times; the user login and logout time points are tracked and recorded, and the logout and login time differences of all users are statistically summarized to obtain the user's use time of the energy storage power station; the preset weight ratio values ​​of the number of successful user operations, the number of user satisfactions and the user's use time of the energy storage power station are obtained from the data storage device; according to the number of successful user operations, the number of user satisfactions and the user's use time of the energy storage power station, an energy storage power station control effect index analysis formula is constructed; and the energy storage power station control effect index is analyzed according to the energy storage power station control effect index analysis formula.

[0015] Furthermore, the stability optimization and maintenance module includes a stability evaluation unit, a stability optimization unit and a stability maintenance unit; the stability evaluation unit is used to analyze the control stability index of the energy storage power station according to the data collection stability index, the energy storage power station control effect index and the used cycle life of the energy storage power station; the stability optimization unit is used to issue a low stability alarm prompt when the control stability index of the energy storage power station is lower than the first threshold, quickly respond to the alarm prompt, and notify the user to optimize the scene adaptation control stability of the multifunctional energy storage power station; according to the actual operation of the energy storage power station and the real-time monitoring data of the user operation, a new control strategy of the energy storage power station is constructed and deployed, and the operation data of the energy storage power station is deeply analyzed and mined by artificial intelligence technology, the grid load change of the energy storage power station is predicted, and the operation status of the energy storage power station is adjusted in advance; the stability maintenance unit is used to notify the user to perform routine and periodic maintenance on the stability of the scene adaptation control system of the multifunctional energy storage power station.

[0016] Furthermore, the specific method for analyzing the control stability index of the energy storage power station is as follows: by recording the number of charge and discharge cycles of the energy storage power station, and combining the performance parameter analysis of the energy storage battery to obtain the used cycle life of the energy storage power station; obtaining the weight proportion of the preset data acquisition stability index, the energy storage power station control effect index, and the used cycle life of the energy storage power station to the control stability index of the energy storage power station from the data storage device; constructing a calculation formula for the control stability index of the energy storage power station according to the data acquisition stability index, the control effect index of the energy storage power station, and the used cycle life of the energy storage power station; calculating the control stability index of the energy storage power station according to the calculation formula for the control stability index of the energy storage power station; the calculation formula for the control stability index of the energy storage power station is: Wherein, WD is the control stability index of the energy storage power station, CJ is the data acquisition stability index, CN is the control effect index of the energy storage power station, XH is the used cycle life of the energy storage power station, ε1 is the weight ratio of the preset data acquisition stability index obtained from the data storage device to the control stability index of the energy storage power station, ε2 is the weight ratio of the preset energy storage power station control effect index obtained from the data storage device to the control stability index of the energy storage power station, and ε3 is the weight ratio of the preset used cycle life of the energy storage power station obtained from the data storage device to the control stability index of the energy storage power station.

[0017] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0018] 1. By analyzing the control stability index of the energy storage power station, an alarm prompt is issued according to the control stability index of the energy storage power station, the alarm prompt is quickly responded to, and the user is notified to optimize the scene adaptation control system of the multifunctional energy storage power station. The user is regularly notified to maintain the stability of the scene adaptation control system of the multifunctional energy storage power station, thereby improving the scene adaptation control stability of the multifunctional energy storage power station, and effectively solving the problem of low scene adaptation control stability of the multifunctional energy storage power station in the prior art.

[0019] 2. By designing a visualized display platform for the scene adaptation control results of the multifunctional energy storage power station, users can operate the scene adaptation control results of the multifunctional energy storage power station through the display platform, thereby improving the efficiency of users in understanding the operating status of the energy storage power station and the convenience of operating the energy storage power station.

[0020] 3. By analyzing the specific application scenarios and needs of the energy storage power station, and according to the results of the demand analysis, the energy storage equipment, inverter, controller, communication equipment and data storage equipment of the energy storage power station are selected to design the overall architecture of the energy storage power station, thereby optimizing resource allocation and improving the energy conversion efficiency and energy storage capacity of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the structure of a multifunctional energy storage power station scene adaptation control system provided in an embodiment of the present application;

[0022] Figure 2 It is a graph showing the change of the control effect index of the energy storage power station with various factors;

[0023] Figure 3 A schematic diagram of the structure of the stability optimization and maintenance module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem of low scene adaptation control stability of a multifunctional energy storage power station in the prior art by providing a scene adaptation control system for a multifunctional energy storage power station. By analyzing the control stability index of the energy storage power station, an alarm prompt is issued according to the control stability index of the energy storage power station, and the alarm prompt is quickly responded to, and the user is notified to optimize the scene adaptation control system of the multifunctional energy storage power station. The user is regularly notified to maintain the stability of the scene adaptation control system of the multifunctional energy storage power station, thereby improving the scene adaptation control stability of the multifunctional energy storage power station.

[0025] The technical solution in the embodiment of the present application is to solve the problem of low stability of the above-mentioned multifunctional energy storage power station scene adaptation control. The overall idea is as follows:

[0026] By analyzing the specific application scenarios and functional requirements of the energy storage power station, the functional requirements of the energy storage power station are analyzed, the energy storage equipment is selected and the overall energy storage architecture is constructed; the real-time monitoring data of the energy storage power station is collected, the real-time monitoring data of the energy storage power station is preprocessed, and the data collection stability index is analyzed; the energy storage power station management strategy is constructed and deployed; the user's operation on the scene adaptation control result of the multi-functional energy storage power station is monitored in real time, the real-time monitoring data of the user operation is obtained, and the control effect index of the energy storage power station is analyzed; according to the data collection stability index, the control effect index of the energy storage power station and the used cycle life of the energy storage power station, the control stability index of the energy storage power station is analyzed, and the user is notified to perform selective optimization according to the control stability index of the energy storage power station, and the user is notified to perform regular maintenance on the stability of the scene adaptation control system of the multi-functional energy storage power station.

[0027] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0028] like Figure 1 As shown, it is a structural schematic diagram of a multifunctional energy storage power station scenario adaptation control system provided in an embodiment of the present application. The multifunctional energy storage power station scenario adaptation control system provided in an embodiment of the present application includes: a demand analysis module, a data acquisition module, a management strategy design module, a control result analysis module and a stability optimization and maintenance module; wherein the demand analysis module is used to analyze the specific application scenarios and functional requirements of the energy storage power station, analyze the functional requirements of the energy storage power station, select energy storage equipment and construct an overall energy storage architecture according to the functional requirements of the energy storage power station; the data acquisition module is used to collect real-time monitoring data of the energy storage power station, pre-process the real-time monitoring data of the energy storage power station, and analyze the data acquisition stability index, which is used to evaluate the stability of the real-time monitoring data of the energy storage power station collected by sensors; the management strategy design module is used to Build and deploy energy storage power station management strategies; control result analysis module, used to monitor the user's operation content of the multifunctional energy storage power station scene adaptation control results in real time, obtain real-time monitoring data of user operations, and analyze the energy storage power station control effect index. The energy storage power station control effect index is used to evaluate the user's satisfaction with the stability of the multifunctional energy storage power station scene adaptation control results; stability optimization and maintenance module, used to analyze the energy storage power station control stability index according to data collection stability index, energy storage power station control effect index and energy storage power station used cycle life, notify users to perform selective optimization according to the energy storage power station control stability index, notify users to perform routine periodic maintenance on the stability of the multifunctional energy storage power station scene adaptation control system, and the energy storage power station control stability index is used to evaluate the stability of the current multifunctional energy storage power station scene adaptation control system.

[0029] In this embodiment, demand analysis can ensure that the system can accurately analyze specific application scenarios and requirements, so as to select appropriate energy storage equipment and design the optimal energy storage architecture. This helps to maximize the performance and efficiency of energy storage power stations; management strategy design allows the multifunctional energy storage power station scene adaptation control system to design and deploy management strategies based on real-time data and user needs, so that the system can adapt to different scenarios and needs and improve the operating efficiency of energy storage power stations; the control result analysis module provides an interface for users to operate the scene adaptation control results of the multifunctional energy storage power station. The collection and analysis of real-time monitoring data of user operations helps the system to continuously optimize the control strategy and improve user satisfaction.

[0030] The user is notified to perform selective optimization according to the control stability index of the energy storage power station. When the control stability index of the energy storage power station is lower than a first threshold, the user is notified to optimize the control stability of the energy storage power station. When the control stability index of the energy storage power station is not lower than the first threshold, the energy storage power station continues to operate normally without notifying the user to perform optimization operations.

[0031] Notify users to perform routine periodic maintenance on the stability of the multifunctional energy storage power station scenario-adaptive control system. In order to formulate a routine periodic maintenance plan based on the operation of the energy storage power station and the system stability requirements, notify users to perform maintenance in an appropriate manner before the specified maintenance time. After receiving the maintenance notification, users perform maintenance operations according to the maintenance plan, record the maintenance process and results, and evaluate the maintenance effect after the maintenance is completed.

[0032] Through the coordinated work of various modules, the entire system realizes comprehensive monitoring, optimization and management of the energy storage power station, improves the stability and reliability of the system, and reduces the possibility of failures; through precise scenario analysis, flexible management strategies and optimized control strategies, the system can more effectively utilize energy, reduce operating costs and improve energy efficiency.

[0033] Furthermore, the specific method for analyzing the functional requirements of the energy storage power station is as follows: obtaining specific application scenario information of the energy storage power station, classifying the specific application scenario information, and for each type of application scenario, analyzing the characteristic data corresponding to each type of application scenario, and determining the functional requirements of the energy storage power station based on the characteristic data of the specific application scenarios of the energy storage power station; according to the functional requirements of the energy storage power station, adjusting the configuration and control strategy of the energy storage architecture, and selecting the corresponding category of energy storage equipment, inverters, controllers, communication equipment, and data storage equipment of the energy storage power station.

[0034] In this embodiment, the application scenarios of the energy storage power station include balancing electricity supply and demand and reducing peak loads; providing backup power in the event of a grid failure; stabilizing voltage and frequency and achieving power quality management; buffering fluctuations in power generation from renewable energy sources such as wind or solar energy; and reducing electricity costs and achieving efficient electricity management.

[0035] The functional requirements of the energy storage power station include determining the instantaneous power and continuous power requirements, determining the total electrical energy that the energy storage system needs to store, determining the time from control instructions to actual response, determining the stability and service life of the control system operation that adapts to the multi-functional energy storage power station scenario, and determining the total cost of initial investment and operation and maintenance.

[0036] Obtain specific application scenario information of energy storage power stations, including grid dispatch information, renewable energy and new energy information, and user-side information.

[0037] Grid dispatching requires that energy storage power stations have rapid response capabilities, be able to release electricity during peak grid load periods to reduce grid pressure, and charge during low load periods to store electricity for later use. At the same time, factors such as the capacity, charge and discharge rates, and safety of the energy storage power station also need to be considered.

[0038] Renewable energy grid connection requires energy storage power stations to solve the intermittent and volatility problems of renewable energy and ensure the stable grid connection of renewable energy. It is also necessary to consider factors such as the grid connection capacity, grid connection method, and scheduling strategy of the energy storage power station.

[0039] The user side needs to formulate appropriate energy storage strategies based on the functional requirements of the user side, such as electricity price policies, electricity load characteristics, etc.

[0040] According to the functional requirements of the energy storage power station, the configuration and control strategy of the energy storage architecture are adjusted. According to the functional requirements, the configuration of the energy storage architecture is adjusted as follows: by analyzing historical data and future trends, the energy and power requirements of the energy storage power station are predicted to determine the appropriate energy storage capacity; according to the energy type, cost, environmental impact and performance requirements, the appropriate energy storage battery type is selected, such as lithium-ion batteries, sodium-sulfur batteries, etc.; according to the functional requirements of renewable energy grid connection, a more intelligent scheduling strategy is adopted to match the fluctuations of renewable energy.

[0041] According to the functional requirements, the control strategy of the energy storage architecture is adjusted as follows: formulate a suitable energy management strategy to achieve the functional requirements of the energy storage power station; when the energy storage power station is connected to multiple energy sources such as wind energy, solar energy, and power grid at the same time, a coordinated scheduling strategy is formulated through intelligent algorithms and control systems to reasonably schedule the conversion and optimize the configuration between different energy sources to improve energy utilization efficiency; formulate a complete safety protection strategy to ensure the safe operation of the energy storage power station, including overcharge and over-discharge protection, temperature control, short-circuit protection, etc. At the same time, establish an effective monitoring and early warning system to promptly discover and deal with potential safety hazards.

[0042] Furthermore, the specific method for collecting real-time monitoring data of the energy storage power station is: through sensors at designated locations of the energy storage power station, real-time sensing and collecting real-time monitoring data of the energy storage power station; the collected real-time monitoring data of the energy storage power station is transmitted to a data storage device by using communication equipment for storage.

[0043] In this embodiment, various sensors are deployed at key locations of the energy storage power station, such as battery packs, charging and discharging interfaces, and grid interfaces. The sensors include temperature sensors, pressure sensors, flow sensors, current sensors, and voltage sensors.

[0044] Sensors are used to sense and collect various parameters and operating status of energy storage power stations in real time, such as battery temperature, pressure, charge and discharge current, voltage, and grid voltage, frequency, power factor, etc.

[0045] The collected data is transmitted to the data storage device by using the communication equipment for storage, ensuring the real-time and accuracy of the data transmission so as to respond to the changes of the power grid operation status in time.

[0046] Furthermore, a specific method for preprocessing the real-time monitoring data of the energy storage power station is as follows: the real-time monitoring data of the energy storage power station is obtained from the data storage device of the energy storage power station, and the missing data is filled by interpolation method; the fluctuations in the data caused by random noise are processed by smoothing algorithm; after all the data are converted into a unified unit of measurement, the real-time monitoring data of the energy storage power station is converted into a format that can be recognized by the system; the real-time monitoring data of the energy storage power station after preprocessing is stored again in the data storage device.

[0047] In this embodiment, unsupervised machine learning algorithms such as K-means clustering algorithm can be used to identify outliers in the real-time monitoring data of the energy storage power station. These machine learning algorithms distinguish normal data from abnormal data based on the natural clustering characteristics of the data. The real-time monitoring data of the energy storage power station is obtained from the data storage device of the energy storage power station, and the missing data is filled by interpolation method.

[0048] The data fluctuations caused by random noise are processed using smoothing algorithms such as moving average method and exponential smoothing method. The existence of random noise is determined by calculating the autocorrelation function of the data. The autocorrelation function of random noise usually takes the maximum value at zero delay and decays rapidly as the delay time increases.

[0049] The data is normalized to eliminate the dimensional differences between different data; the processed data is stored in the data storage device of the energy storage power station for subsequent analysis and use.

[0050] Furthermore, a specific method for analyzing the data acquisition stability index is as follows: the service life of the sensor is analyzed by obtaining the sensor installation date and the current date, an electromagnetic interference measuring instrument is used to measure the electromagnetic environment on site of the energy storage power station to obtain electromagnetic interference data, and the data measured by the sensor is compared with the known standard value to analyze the error to obtain the sensor accuracy data; the weight ratio values ​​of the preset sensor service life, electromagnetic interference and sensor accuracy to the data acquisition stability index are obtained from the data storage device; a data acquisition stability index analysis formula is constructed according to the sensor service life, electromagnetic interference and sensor accuracy; and the data acquisition stability index is analyzed according to the data acquisition stability index analysis formula.

[0051] In this embodiment, electromagnetic interference measuring instruments such as KH3939 electromagnetic compatibility tester and MICRONIX / MSA338E electromagnetic interference tester are used to measure the electromagnetic environment on site of the energy storage power station to obtain electromagnetic interference data.

[0052] The data acquisition stability index analysis formula is: Where CJ is the data acquisition stability index, ω1+ω2+ω3=1.

[0053] SM is the service life of the sensor, GR is the electromagnetic interference, JD is the sensor accuracy, ω1 is the weight ratio of the preset sensor service life obtained from the data storage device to the data acquisition stability index, which is obtained by the objective weight method, ω2 is the weight ratio of the preset electromagnetic interference obtained from the data storage device to the data acquisition stability index, which is obtained by the objective weight method, ω3 is the weight ratio of the preset sensor accuracy obtained from the data storage device to the data acquisition stability index, which is obtained by the objective weight method.

[0054] The data collection stability index CJ can also obtain sensor response time, data volatility, error rate and other data, and use data cleaning, standardization and outlier detection to pre-process the collected data to remove noise and outliers. The higher the data collection stability index, the higher the stability of the real-time monitoring data of the energy storage power station collected by the sensor.

[0055] Furthermore, the specific method for constructing and deploying the energy storage power station management strategy is as follows: according to the functional requirements of the energy storage power station, the charging and discharging strategy, power output strategy and charging and discharging cycle strategy of the energy storage power station are constructed; the charging and discharging strategy of the energy storage power station is to charge the energy storage power station when the energy price is lower than the low energy price threshold, and to discharge when the energy price is not lower than the high energy price threshold; the power output strategy of the energy storage power station is to meet the load demand of the power grid while maintaining the stable operation of the energy storage power station; the charging and discharging cycle strategy of the energy storage power station is to consider the life management of the energy storage power station and extend the service life of the energy storage power station; when implementing the energy storage power station management strategy, data transmission and synchronization mechanism are operated inside the energy storage power station, and the user terminal interface outside the energy storage power station provides visualization data and user control interface.

[0056] In this embodiment, the charging and discharging strategy of the energy storage power station is to set reasonable low energy price threshold and high energy price threshold according to the capacity, charging and discharging efficiency, battery life and other factors of the energy storage power station. The energy storage power station is charged when the energy price is lower than the low energy price threshold, and is discharged when the energy price is not lower than the high energy price threshold. The setting of the threshold should take into account factors such as grid security, economy, and battery health.

[0057] The power output strategy of the energy storage power station is to determine the target power output value according to the functional requirements of the energy storage power station, and establish a power adjustment mechanism so that the energy storage power station can dynamically adjust the output power according to factors such as the target power output value, changes in grid load, and fluctuations in the output of new energy sources, so as to meet the load requirements of the grid while maintaining the stable operation of the energy storage power station;

[0058] The charge and discharge cycle strategy of the energy storage power station is to determine a reasonable charge and discharge cycle period based on factors such as the capacity of the energy storage power station, charge and discharge efficiency, and battery life, to achieve life management of the energy storage power station and extend the service life of the energy storage power station.

[0059] When implementing the energy storage power station management strategy, it is necessary to ensure the smooth operation of the internal data transmission and synchronization mechanism of the energy storage power station to ensure the consistency and accuracy of the data.

[0060] Furthermore, the specific method for obtaining real-time monitoring data of user operations is as follows: constructing a visual display platform for scene adaptation control results of a multifunctional energy storage power station, connecting the display platform with a user terminal interface outside the energy storage power station, and obtaining visual data and user operation functions; monitoring the user's operation content on the scene adaptation control results of the multifunctional energy storage power station in real time through the display platform, obtaining real-time monitoring data of user operations, and storing the obtained real-time monitoring data of user operations in the data storage device of the energy storage power station.

[0061] In this embodiment, through the connection between the user terminal interface and the display platform, the user can intuitively view the operating status, control strategy and key indicator data of the energy storage power station, which not only improves the user experience but also enables the user to understand and manage the energy storage power station more easily.

[0062] Users can not only view the operation status of the energy storage power station through the display platform, but also directly control the energy storage power station, allowing users to adjust the operation strategy of the energy storage power station according to actual needs, thereby optimizing energy utilization and reducing operating costs.

[0063] Through the display platform, users can obtain the operating data of the energy storage power station in real time and provide feedback based on their own understanding and experience, which will help improve the operating efficiency of the energy storage power station and promote the continuous optimization of the scene adaptation control of the energy storage power station.

[0064] Furthermore, the specific method for analyzing the control effect index of the energy storage power station is as follows: each time a user performs an operation, the result of the operation is automatically recorded and recorded as a successful user operation, and the operation result data of all users are statistically summarized to obtain the number of successful user operations; the satisfaction feedback data provided by the user after each operation is completed is obtained, and when the satisfaction exceeds the satisfaction threshold, it is recorded as user satisfaction, and the satisfaction feedback data of all users are statistically summarized to obtain the number of user satisfaction times; the user login and logout time points are tracked and recorded, and the logout and login time differences of all users are statistically summarized to obtain the user's use time of the energy storage power station; the preset weight ratio values ​​of the number of successful user operations, the number of user satisfactions and the user's use time of the energy storage power station are obtained from the data storage device; according to the number of successful user operations, the number of user satisfactions and the user's use time of the energy storage power station, an energy storage power station control effect index analysis formula is constructed; and the energy storage power station control effect index is analyzed according to the energy storage power station control effect index analysis formula.

[0065] In this embodiment, the energy storage power station control effect index analysis formula is: Where CN is the control effect index of the energy storage power station, δ1+δ2+δ3=1.

[0066] CZ is the number of successful user operations, MY is the number of user satisfactions, SY is the length of time that users use the energy storage power station, δ1 is the weighted ratio of the preset number of successful user operations to the energy storage power station control effect index obtained from the data storage device, and is obtained through the expert evaluation method, δ2 is the weighted ratio of the preset number of user satisfactions to the energy storage power station control effect index obtained from the data storage device, and is obtained through the expert evaluation method, δ3 is the weighted ratio of the preset length of time that users use the energy storage power station to the energy storage power station control effect index obtained from the data storage device, and is obtained through the expert evaluation method, and e is a natural constant.

[0067] The energy storage power station control effect index CN can also be obtained by obtaining key data during the operation of the energy storage power station and user operation behavior data, and using statistical analysis methods such as the least squares method or machine learning algorithms to process and analyze these data to obtain the energy storage power station control effect index; the higher the energy storage power station control effect index, the higher the user's satisfaction with the stability of the multifunctional energy storage power station scene adaptation control results; the energy storage power station control effect index related data statistics table is shown in Table 1:

[0068] Table 1 Statistical data related to the control effect index of energy storage power station

[0069]

[0070] like Figure 2 As shown in the figure, it is a relationship diagram between parameters and energy storage power station control effect index, where δ1=0.5, δ2=0.3, δ3=0.2 are set. Figure 2 It can be seen from Table 1 that the energy storage power station control effect index CN increases with the increase of the number of successful user operations CA and the user's use time SY of the energy storage power station, but the growth rate will gradually decrease, which indicates that with the increase of the number of successful user operations and the user's use time of the energy storage power station, the improvement effect of the energy storage power station control effect index will gradually weaken.

[0071] Further, such as Figure 3 As shown, it is a structural schematic diagram of the stability optimization and maintenance module provided in an embodiment of the present application, and the stability optimization and maintenance module includes a stability evaluation unit, a stability optimization unit and a stability maintenance unit; the stability evaluation unit is used to analyze the control stability index of the energy storage power station according to the data acquisition stability index, the control effect index of the energy storage power station and the used cycle life of the energy storage power station; the stability optimization unit is used to issue a low stability alarm prompt when the control stability index of the energy storage power station is lower than the first threshold, quickly respond to the alarm prompt, and notify the user to optimize the scene adaptation control stability of the multifunctional energy storage power station; according to the actual operation of the energy storage power station and the real-time monitoring data of the user operation, a new control strategy of the energy storage power station is constructed and deployed, and the operation data of the energy storage power station is deeply analyzed and mined by artificial intelligence technology, the grid load change of the energy storage power station is predicted, and the operation status of the energy storage power station is adjusted in advance; the stability maintenance unit is used to notify the user to perform routine and periodic maintenance on the stability of the scene adaptation control system of the multifunctional energy storage power station.

[0072] In this embodiment, according to the actual operation of the energy storage power station and the real-time monitoring data of user operations, the control strategy of the new energy storage power station is continuously adjusted, constructed and deployed to improve the utilization and efficiency of the energy storage power station; the operation data of the energy storage power station is deeply analyzed and mined by using advanced technologies such as artificial intelligence and machine learning, the change of grid load is predicted, the operation status of the energy storage power station is adjusted in advance, and the response speed and stability of the system are improved; by optimizing the scene-adaptive control system of the multifunctional energy storage power station, the occurrence of system failures and abnormal situations can be reduced, the stability and reliability of the system can be improved, the energy utilization rate of the energy storage power station can be improved, the equipment failures and downtime can be reduced, and the operation and maintenance costs and manpower investment can be reduced.

[0073] Regularly inspect and test various equipment in the energy storage power station, promptly install and update the system's software patches and firmware updates to fix potential security vulnerabilities and errors, and regularly back up the system's key data to prevent data loss or damage; through regular maintenance, potential problems and hidden dangers can be discovered and handled in a timely manner, and failures can be prevented. This can ensure the stability and reliability of the system, reduce the occurrence of failures and abnormal situations, extend the service life of the equipment, reduce the cost of equipment replacement, and enhance users' trust and satisfaction with the multi-functional energy storage power station scenario-adaptive control system.

[0074] Furthermore, the specific method for analyzing the control stability index of the energy storage power station is as follows: by recording the number of charge and discharge cycles of the energy storage power station, and combining the performance parameter analysis of the energy storage battery to obtain the used cycle life of the energy storage power station; obtaining the weight proportion values ​​of the preset data acquisition stability index, the energy storage power station control effect index, and the used cycle life of the energy storage power station from the data storage device; constructing the energy storage power station control stability index calculation formula according to the data acquisition stability index, the energy storage power station control effect index, and the used cycle life of the energy storage power station; calculating the energy storage power station control stability index according to the energy storage power station control stability index calculation formula; the energy storage power station control stability index calculation formula is: Wherein, WD is the control stability index of the energy storage power station, CJ is the data acquisition stability index, CN is the control effect index of the energy storage power station, XH is the used cycle life of the energy storage power station, ε1 is the weight ratio of the preset data acquisition stability index obtained from the data storage device to the control stability index of the energy storage power station, ε2 is the weight ratio of the preset energy storage power station control effect index obtained from the data storage device to the control stability index of the energy storage power station, and ε3 is the weight ratio of the preset used cycle life of the energy storage power station obtained from the data storage device to the control stability index of the energy storage power station.

[0075] In this embodiment, the data acquisition stability index is obtained by analyzing the real-time monitoring data collected by the sensor, the energy storage power station control effect index is obtained by analyzing the real-time monitoring data of the user operation, and the cycle life of the energy storage power station is estimated by recording the number of charge and discharge cycles of the energy storage power station and combining it with the performance parameters of the energy storage battery.

[0076] ε1+ε2+ε3=1, the weight proportions of the data collection stability index, the energy storage power station control effect index, and the energy storage power station's used cycle life to the energy storage power station control stability index are obtained through the objective weight method.

[0077] The control stability index of the energy storage power station can also be obtained by acquiring data such as the charging and discharging efficiency, energy stability, and response time of the energy storage power station, and using algorithms such as regression analysis and time series analysis to analyze the stability of the charging and discharging efficiency of the energy storage power station and the volatility of energy changes to obtain the control stability index of the energy storage power station; the higher the control stability index of the energy storage power station, the higher the stability of the current multifunctional energy storage power station scenario adaptation control system.

[0078] In summary, with the help of the above-mentioned technical solution of the present invention, by analyzing the control stability index of the energy storage power station, an alarm prompt is given according to the control stability index of the energy storage power station, the alarm prompt is responded to quickly, the user is notified to optimize the multifunctional energy storage power station scene adaptation control system, and the user is regularly notified to maintain the stability of the multifunctional energy storage power station scene adaptation control system, thereby achieving the improvement of the stability of the multifunctional energy storage power station scene adaptation control system.

[0079] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0080] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0081] In several embodiments covered by the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the division of modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, or it can be an electrical, mechanical or other form of connection.

[0082] The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0083] In addition, each functional module in each embodiment of the present application can be implemented in the form of hardware or in the form of software functional modules. If these functional modules are implemented in the form of software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or part of the prior art that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a computer program product, which includes one or more computer instructions. When loading and executing computer program instructions on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer program product is stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, a computer instruction can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrations. The available media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)).

[0084] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. Multifunctional energy storage power station scene adaptation control system, characterized in that: include: Demand analysis module, data acquisition module, management strategy design module, control result analysis module and stability optimization and maintenance module; The demand analysis module is used to analyze the specific application scenarios and functional requirements of the energy storage power station, analyze the functional requirements of the energy storage power station, select energy storage equipment and build an overall energy storage architecture according to the functional requirements of the energy storage power station; The data acquisition module is used to collect real-time monitoring data of the energy storage power station, pre-process the real-time monitoring data of the energy storage power station, and analyze the data acquisition stability index, which is used to evaluate the stability of the real-time monitoring data of the energy storage power station collected by the sensor; The management strategy design module is used to construct and deploy energy storage power station management strategies; The control result analysis module is used to monitor the user's operation content on the multifunctional energy storage power station scene adaptation control result in real time, obtain the real-time monitoring data of the user's operation, and analyze the energy storage power station control effect index, which is used to evaluate the user's satisfaction with the stability of the multifunctional energy storage power station scene adaptation control result; The specific method for obtaining real-time monitoring data of user operations is: Build a visual multifunctional energy storage power station scenario adaptation control result display platform, connect it to the display platform through the user terminal interface outside the energy storage power station, and obtain visual data and user operation functions; Monitor the user's operation content of the multifunctional energy storage power station scene adaptation control results in real time through the display platform, obtain the user's operation real-time monitoring data, and store the obtained user operation real-time monitoring data in the data storage device of the energy storage power station; The specific method for analyzing the control effect index of the energy storage power station is: Every time a user performs an operation, the result of the operation is automatically recorded and marked as a successful operation. The operation result data of all users is statistically summarized to obtain the number of successful user operations. Obtain the satisfaction feedback data provided by the user after each operation. When the satisfaction exceeds the satisfaction threshold, it is recorded as user satisfaction. The satisfaction feedback data of all users are statistically summarized to obtain the number of user satisfaction times. Track and record the time points of user login and logout, summarize the logout and login time differences of all users, and obtain the user's usage time of the energy storage power station; Obtaining from the data storage device the weighted proportions of the preset number of successful user operations, the number of user satisfactions, and the length of time the user uses the energy storage power station to the energy storage power station control effect index; According to the number of successful user operations, the number of user satisfaction and the length of time users use the energy storage power station, an energy storage power station control effect index analysis formula is constructed; Analyze the control effect index of the energy storage power station according to the energy storage power station control effect index analysis formula; The stability optimization and maintenance module is used to analyze the energy storage power station control stability index according to the data acquisition stability index, the energy storage power station control effect index and the used cycle life of the energy storage power station, notify the user to perform selective optimization according to the energy storage power station control stability index, and notify the user to perform routine and regular maintenance on the stability of the multifunctional energy storage power station scene adaptation control system. The energy storage power station control stability index is used to evaluate the stability of the current multifunctional energy storage power station scene adaptation control system; The specific method for analyzing the control stability index of the energy storage power station is: By recording the number of charge and discharge cycles of the energy storage power station and analyzing the performance parameters of the energy storage battery, the cycle life of the energy storage power station can be obtained; Obtaining from the data storage device the preset data collection stability index, the energy storage power station control effect index, and the weighted proportion of the energy storage power station's used cycle life to the energy storage power station control stability index; According to the data collection stability index, the energy storage power station control effect index and the used cycle life of the energy storage power station, a calculation formula for the energy storage power station control stability index is constructed; The control stability index of the energy storage power station is calculated according to the calculation formula of the control stability index of the energy storage power station; The calculation formula of the energy storage power station control stability index is: Wherein, WD is the control stability index of the energy storage power station, CJ is the data acquisition stability index, CN is the control effect index of the energy storage power station, XH is the used cycle life of the energy storage power station, ε1 is the weight ratio of the preset data acquisition stability index obtained from the data storage device to the control stability index of the energy storage power station, ε2 is the weight ratio of the preset energy storage power station control effect index obtained from the data storage device to the control stability index of the energy storage power station, and ε3 is the weight ratio of the preset used cycle life of the energy storage power station obtained from the data storage device to the control stability index of the energy storage power station.

2. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The specific method for analyzing the functional requirements of the energy storage power station is: Obtain specific application scenario information of the energy storage power station, classify the specific application scenario information, analyze the characteristic data corresponding to each type of application scenario, and determine the functional requirements of the energy storage power station based on the characteristic data of the specific application scenario of the energy storage power station; According to the functional requirements of the energy storage power station, adjust the configuration and control strategy of the energy storage architecture, and select the corresponding category of energy storage power station energy storage equipment, inverters, controllers, communication equipment and data storage equipment.

3. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The specific method for collecting real-time monitoring data of the energy storage power station is: Through sensors at designated locations in the energy storage power station, real-time sensing and collection of real-time monitoring data of the energy storage power station; The collected real-time monitoring data of the energy storage power station is transmitted to the data storage device using communication equipment for storage.

4. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The specific method for preprocessing the real-time monitoring data of the energy storage power station is: Obtain real-time monitoring data of the energy storage power station from the data storage device of the energy storage power station, and use interpolation method to fill in the missing data; The fluctuations in the data caused by random noise are processed using a smoothing algorithm; After converting all data into a unified unit of measurement, the energy storage power station real-time monitoring data is converted into a format that the system can recognize; The real-time monitoring data of the energy storage power station after preprocessing is stored back in the data storage device.

5. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The specific method for analyzing the data acquisition stability index is: The sensor's service life is analyzed by obtaining the sensor's installation date and current date. An electromagnetic interference measuring instrument is used to measure the electromagnetic environment at the energy storage power station to obtain electromagnetic interference data. The sensor's measured data is compared with known standard values ​​to analyze the error and obtain the sensor's accuracy data. Obtaining from the data storage device the weight ratios of the preset sensor service life, electromagnetic interference and sensor accuracy to the data collection stability index; According to the sensor's service life, electromagnetic interference and sensor accuracy, a data acquisition stability index analysis formula is constructed; The data acquisition stability index is analyzed according to the data acquisition stability index analysis formula.

6. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The specific method of constructing and deploying the energy storage power station management strategy is: According to the functional requirements of the energy storage power station, build the charging and discharging strategy, power output strategy and charging and discharging cycle strategy of the energy storage power station; The charging and discharging strategy of the energy storage power station is to charge the energy storage power station when the energy price is lower than the low energy price threshold, and discharge it when the energy price is not lower than the high energy price threshold; The power output strategy of the energy storage power station is to meet the load demand of the power grid while maintaining the stable operation of the energy storage power station; The charging and discharging cycle strategy of the energy storage power station is to consider the life management of the energy storage power station and extend the service life of the energy storage power station; When implementing the energy storage power station management strategy, data transmission and synchronization mechanisms are operated inside the energy storage power station, and the user terminal interface outside the energy storage power station provides visual data and user control interface.

7. The multifunctional energy storage power station scene adaptation control system according to claim 1, characterized in that: The stability optimization and maintenance module includes a stability evaluation unit, a stability optimization unit and a stability maintenance unit; The stability evaluation unit is used to analyze the control stability index of the energy storage power station according to the data acquisition stability index, the control effect index of the energy storage power station and the used cycle life of the energy storage power station; The stability optimization unit is used to issue a low stability alarm when the control stability index of the energy storage power station is lower than the first threshold, quickly respond to the alarm, and notify the user to optimize the scene adaptation control stability of the multifunctional energy storage power station; Based on the actual operation of the energy storage power station and real-time monitoring data of user operations, build and deploy new control strategies for energy storage power stations, use artificial intelligence technology to conduct in-depth analysis and mining of the operation data of energy storage power stations, predict changes in the grid load of energy storage power stations, and adjust the operation status of energy storage power stations in advance; The stability maintenance unit is used to notify the user to perform routine and periodic maintenance on the stability of the multifunctional energy storage power station scene adaptation control system.

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