Flow battery energy management method and device for intelligent operation management

Abstract

The invention provides a flow battery energy management method and device for intelligent operation management, and belongs to the technical field of energy storage system management. According to the method, the subordinate equipment and the functional units communicated with the energy management system are modularly developed, software module configuration can be rapidly carried out in the EMS by increasing or decreasing the same type of equipment, flexible adjustment of the equipment level of the energy storage system is realized, and meanwhile, when the method is applied to different projects, the equipment level can be flexibly adjusted. And the method is suitable for flow battery energy storage systems with different scales. According to the method, the operation state of the flow battery energy storage system is judged in a coupling manner after the data packets of the lower-level equipment are classified and analyzed, and finally, the control strategy of the flow battery energy storage system is formulated according to the operation state, so that a solution is provided for scheduling and full-cycle monitoring of the flow battery energy storage system; the intelligent management of the flow battery is efficiently realized, and the investment of manpower and time is greatly reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage system management, and particularly relates to a method and device for intelligent management and operation of a liquid flow battery energy management system. Background Art

[0002] The development of new energy storage technologies provides an efficient solution for the rational utilization of energy. Under the trend of continuous technological cost reduction, it gradually replaces traditional energy storage forms and more flexibly participates in the construction of new power systems. As a relatively new energy storage form in electrochemical energy storage technologies, the liquid flow battery technology is mainly characterized by long energy storage time and high safety performance, and has received increasing attention in the field of large-scale energy storage technologies.

[0003] The energy management system (EMS) is most widely applied in lithium batteries and all-vanadium flow batteries. The lithium battery energy storage EMS started earlier, and currently, the control of 100MW-level lithium battery stations has been gradually carried out. The main control objects are the PCS (energy storage converter) equipment and BMS (battery management equipment) of lithium batteries. The all-vanadium flow battery energy storage EMS mainly uses equipment such as PLC (programmable logic controller) and DCS (distributed control system). However, there are still performance and function differences in the EMS in the liquid flow battery market, such as the number of controlled devices, data transmission delay, and operation strategies. As a result, customized development is required when the EMS is applied in different projects, which causes great development difficulty and increases the costs of human, time, and material resources. Summary of the Invention

[0004] In view of the above problems, the present invention proposes a method and device for intelligent management and operation of a liquid flow battery energy management system, which realizes information collection, scheduling management, and intelligent control of the liquid flow battery energy storage system. The specific technical solutions are as follows:

[0005] On the one hand, the present invention proposes a method for intelligent management and operation of a liquid flow battery energy management system, including the following steps:

[0006] Modularly develop the subordinate devices communicating with the liquid flow battery energy management system and the functional modules related to the liquid flow battery energy management system respectively, and form a module library;

[0007] Establish communication relationships and communication protocols between the liquid flow battery energy management system and the superior system and the integrated subordinate devices;

[0008] Based on the communication relationships and communication protocols, obtain and analyze the data packets of the subordinate devices, classify the analyzed data, and couple and judge the operation state of the liquid flow battery energy storage system according to the classification results;

[0009] Based on the operating status, formulate the control strategy when the flow battery energy storage system needs to change its operating status and the control strategy when the flow battery energy storage system fluctuates or suddenly has an anomaly.

[0010] Further, the subordinate devices include a flow battery energy storage unit module, a PCS module, a transformer module, and a coordinated control module;

[0011] The function modules include a data query module, a trend analysis module, an alarm record module, and an accident recollection module.

[0012] Further, the flow battery energy storage unit module includes the energy unit and the power unit of the flow battery energy storage system;

[0013] The PCS module is used to collect PCS information;

[0014] The transformer module is used to collect transformer information;

[0015] The coordinated control module is used to control and coordinate the flow battery energy storage unit module, the PCS module, and the transformer module.

[0016] Further, the data query module is used to query historical data within a certain time period according to the data type on the user interface of the flow battery energy management system;

[0017] The trend analysis module is used to perform a graphical demonstration of the historical data within the time period and generate key index parameters based on the historical data query;

[0018] The alarm record module is used to record and process the alarm information of the flow battery energy storage system;

[0019] The accident recollection module is used to record the content in two time periods before and after the accident when the accident occurs.

[0020] Further, the superior system includes an automatic generation control system and a superior energy management system.

[0021] Further, establishing the communication relationship and communication protocol between the flow battery energy management system and the superior system and subordinate devices specifically are:

[0022] The communication information between the flow battery energy management system and the subordinate devices covers the smallest unit of the data collected by the flow battery energy storage system and covers all signals transmitted by the electrical equipment;

[0023] The flow battery energy management system establishes communication with the superior system and controls the subordinate devices to execute actions according to the dispatching instructions issued by the superior system.

[0024] Further, based on the communication relationship and communication protocol, obtain and analyze the data packets of the subordinate devices, classify the analyzed data, and couple and judge the operating state of the flow battery energy storage system according to the classification results, including the following steps:

[0025] Collect the data packets of the subordinate devices based on the communication relationship;

[0026] Analyze the collected data packets based on the communication protocol;

[0027] Classify the analyzed data into two forms: process data packets and electrical data packets;

[0028] Couple and judge the process data packets and electrical data packets, and analyze the operating state of the system according to the judgment results.

[0029] Further, formulating a control strategy for the flow battery energy storage system when it needs to change its operating state according to the operating state includes the following steps:

[0030] The flow battery energy management system receives the scheduling instructions from the superior system or the dispatcher. The scheduling instructions include two types: charging power and discharging power;

[0031] The flow battery energy management system analyzes the current state of the flow battery energy storage system to judge whether the flow battery energy storage system has the output capacity required by the scheduling;

[0032] If the flow battery energy storage system has the output capacity required by the scheduling, adjust the output state and parameters of the flow battery energy storage system according to the scheduling instructions; if it does not have the output capacity, suspend following the scheduling instructions and maintain the current state of operation.

[0033] Further, the judgment condition for judging whether the flow battery energy storage system has the output capacity required by the scheduling is:

[0034] SOC min ≤SOC≤SOC max

[0035] p i =p i,e

[0036] p i-diff =p i -p i′ (i=1,2……,n)

[0037] Among them, SOC min is the minimum state of charge allowed for the flow battery energy storage system, SOC max is the maximum state of charge allowed for the flow battery energy storage system, SOC is the current state of charge of the flow battery energy storage system, p iThe current liquid pressure value of the positive electrode of the i-th liquid flow battery energy storage unit module, p i′ The current liquid pressure value of the negative electrode, p i,e The rated liquid pressure value, p i-diff Is the liquid pressure difference between the positive and negative electrodes;

[0038] Among them,

[0039] p i-diff,min ≤p i-diff ≤p i-diff,max

[0040] In the formula, p i-diff,min Is the allowable minimum liquid pressure difference, p i-diff,max Is the allowable maximum liquid pressure difference.

[0041] Furthermore, when the liquid flow battery energy storage system has the output capacity required by the dispatching, it switches to the hot standby state with the boundary conditions of charging and discharging of the liquid flow battery energy storage system as the cut-off conditions;

[0042] Among them, the boundary conditions for charging are:

[0043] SOC > SOC max , U i > U max

[0044] The boundary conditions for discharging are:

[0045] SOC < SOC min , U i < U min

[0046] Among them, SOC is the current state of charge of the liquid flow battery energy storage system, SOC max Is the maximum state of charge allowed for the liquid flow battery energy storage system, SOC min Is the minimum state of charge allowed for the liquid flow battery energy storage system, U i Is the voltage of the i-th battery stack, U max Is the maximum allowable voltage of the battery stack, U min Is the minimum allowable voltage of the battery stack.

[0047] Furthermore, if a new dispatching instruction is received before the cut-off condition is reached, the next state is changed according to the new dispatching instruction.

[0048] Furthermore, formulating a control strategy for the liquid flow battery energy storage system when fluctuations or sudden anomalies occur according to the operating state includes the following steps:

[0049] Classify the severity of fluctuations or sudden anomalies in the liquid flow battery energy storage system into three levels;

[0050] Set corresponding control strategies according to each level. The first-level control strategy is to alarm and the whole system operates; the second-level control strategy is to alarm and the subsystem operates; the third-level control strategy is to alarm but not operate.

[0051] Implement corresponding control strategies according to the level corresponding to the said fluctuation or abnormal situation.

[0052] In a second aspect, the present invention proposes a liquid flow battery energy management device for intelligent management operation, including:

[0053] A modular integration unit for separately developing the subordinate devices communicating with the liquid flow battery energy management system and the functional modules related to the liquid flow battery energy management system in a modular manner, and forming a module library.

[0054] A communication relationship establishment unit for establishing communication relationships and communication protocols between the liquid flow battery energy management system and the superior system and the integrated subordinate devices.

[0055] An operating state judgment unit for obtaining and analyzing the data packets of the subordinate devices based on the said communication relationships and communication protocols, classifying the analyzed data, and coupling and judging the operating state of the liquid flow battery energy storage system according to the classification results.

[0056] A control strategy specifying unit for formulating control strategies when the liquid flow battery energy storage system needs to change its operating state and control strategies when the liquid flow battery energy storage system has fluctuations or sudden abnormalities according to the said operating state.

[0057] In a third aspect, the present invention proposes an electronic device, including a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus;

[0058] The memory stores a computer program;

[0059] The processor, when executing the program stored in the memory, implements the said method for intelligent management operation of the liquid flow battery energy management.

[0060] In a fourth aspect, the present invention proposes a computer-readable storage medium storing a computer program, and when the computer program is run, it executes the said method for intelligent management operation of the liquid flow battery energy management.

[0061] Advantages of the present invention:

[0062] According to the power grid or user electricity demand, the present invention is responsible for uniformly coordinating and controlling each device in the flow battery energy storage system, performing modular software development on the devices communicated by the energy management system, and adding or reducing the same type of devices can quickly perform software module configuration in the EMS, realizing flexible adjustment at the device level of the energy storage system. At the same time, when applied to different projects, it can be applied to flow battery energy storage systems of different scales, and can perform autonomous configuration adjustment after the energy storage system is upgraded or the application scenario changes. The modularization of the device can quickly identify and intelligently manage data categories and alarm measures during management, and the system supports multiple communication protocols, has multiple interfaces adapted to different communication forms, and adopts standard device data models and communication service programs to ensure communication consistency.

[0063] The present invention classifies and analyzes the data packets of the subordinate devices, then couples and judges the operating state of the flow battery energy storage system, and finally formulates the control strategy when the flow battery energy storage system needs to change the operating state and the control strategy when the flow battery energy storage system fluctuates or suddenly has an abnormality. This method provides a solution for the scheduling and full-cycle monitoring of the flow battery energy storage system, efficiently realizes the intelligent management of the flow battery, and greatly reduces the input of manpower and time.

[0064] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures pointed out in the specification, claims, and drawings. Brief Description of the Drawings

[0065] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0066] Figure 1 Shows the flowchart of a method for intelligent management and operation of a flow battery energy management proposed by an embodiment of the present invention;

[0067] Figure 2 Shows the flowchart of the operating state judgment of the flow battery energy storage system in an embodiment of the present invention;

[0068] Figure 3 Shows the flowchart of the execution of the control strategy for changing the operating state in an embodiment of the present invention;

[0069] Figure 4A schematic diagram of an electronic device in an embodiment of the present invention is shown. Detailed implementation manners

[0070] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0071] The present invention proposes a method for managing and operating a liquid flow battery energy management system intelligently, as Figure 1 shown, which includes the following steps:

[0072] S1: Modularly develop the subordinate devices communicating with the liquid flow battery energy management system and the functional modules related to the liquid flow battery energy management system respectively, and form a module library;

[0073] The subordinate devices include but are not limited to a liquid flow battery energy storage unit module, a PCS module, a transformer module and a coordination control module; among them,

[0074] The liquid flow battery energy storage unit module includes an energy unit and a power unit of the liquid flow battery energy storage system. All data information is collected and uploaded by the BMS, including but not limited to the DC voltage and current of the liquid flow battery system, the maximum / minimum single-cell battery voltage and number, fault and alarm information, rechargeable capacity, dischargeable capacity, pump status and control, pressure, temperature, liquid level, flow rate, SOC, pressure difference, alarm device, etc.

[0075] The PCS module is used to collect PCS information, and the PCS information includes three-phase active power, reactive power, three-phase voltage, three-phase current, power factor, frequency, device temperature, charge / discharge capacity, load ratio, operating status, alarm and fault information, etc.

[0076] The transformer module is used to collect transformer information, and the transformer information includes the bus voltages and currents on the high and low voltage sides of the transformer, as well as the protection signals of the transformer, etc.

[0077] The coordination control module includes information such as power acquisition and downlink control, mode switching, frequency setting, operating status, alarm signals, etc.

[0078] The functional modules include a data query module, a trend analysis module, an alarm record module and an accident recall module; among them,

[0079] The data query module is used to query historical data within a certain period according to the data type on the EMS user interface, and at the same time, the queried data can be downloaded and exported as a data report through the data server background.

[0080] The trend analysis module refers to, on the basis of historical data query, presenting the data in the form of charts and generating key index parameters, such as maximum / minimum values, average values, regression curves, etc.

[0081] The alarm record module refers to recording and processing the alarm information of the flow battery energy storage system. The alarm types include fault alarms, over-limit alarms, and communication alarms. The displayed content of the alarm record includes level, time, equipment, behavior, and reason, etc., to achieve the safety management of the entire system. The entire system platform includes charge and discharge systems, rebalancing systems, heating systems, and process systems.

[0082] The accident recollection module refers to recording relevant quantities of an accident in a short period. When an accident occurs, this record can be saved. The record includes two periods before and after the accident, and the lengths of the two periods and the sampling interval can be adjusted. The above function modules can be arbitrarily called according to project requirements to achieve the reuse of software functions, thereby reducing the software development workload and the difficulty of user operation.

[0083] After modularly integrating the subordinate devices and function modules in the flow battery energy management system, flexible adjustment at the device level of the flow battery energy storage system can be achieved. Monitoring can be directly obtained and executed in the EMS. When applied to different projects, it can be applicable to flow battery energy storage systems of different scales. Taking communication equipment as an example, the EMS of a 1MW / 4MWh energy storage system includes a set of flow battery energy storage units, a set of PCS modules, a set of transformer modules, and a set of coordination controller modules. When the energy storage system expands to a 2MW / 8MWh system, a set of flow battery energy storage units and a set of PCS need to be added. Then, the required device modules can be directly selected from the module library and added to the original EMS system to match the expansion of the system capacity.

[0084] S2: Establish communication relationships and communication protocols between the flow battery energy management system and the superior system and the integrated subordinate devices;

[0085] The superior system includes an automatic generation control system and a superior energy management system. Among them, the superior energy management system can manage multiple systems such as flow batteries, photovoltaics, and wind power simultaneously.

[0086] The communication information between the flow battery energy management system and the subordinate devices covers the smallest unit of the data collected by the flow battery energy storage system, that is, a single set of flow battery energy storage units; at the same time, it covers all signals transmitted by electrical equipment, such as transformer measurement and control signals, PCS data, smart meter data, etc.

[0087] The flow battery energy management system establishes communication with the superior system. After receiving the operation instructions from the superior system, it controls the lower-level devices to execute actions in combination with the current state of the energy storage system. For example, it can control the active power output according to the power dispatch instructions issued by the superior system, or control the reactive power output of the energy storage system by controlling the reactive power compensation device or PCS of the energy storage system for the voltage control instructions, so as to control the energy storage system to meet the control requirements. The operation state of the energy storage system is judged based on the information feedback of the lower-level devices, and the system state is monitored in real time and safety warnings are given.

[0088] The present invention is adapted to most flow battery systems in the market, supports multiple communication protocols, and has multiple interfaces adapted to different communication forms. It adopts a standard device data model and communication service program to ensure the consistency of communication.

[0089] S3: Obtain and analyze the data packets of the lower-level devices based on the communication relationship and communication protocol, classify the analyzed data, and couple and judge the operation state of the flow battery energy storage system according to the classification results; specifically as Figure 2 shown, including the following steps:

[0090] Collect the data packets of the lower-level devices; such as data from the measurement and control system, BMS, PCS, smart meter, etc.;

[0091] Analyze the data packets according to the corresponding communication protocol;

[0092] Classify the analyzed data into two forms: process data packets and electrical data packets; among them, the process data packets represent the operating state of the flow battery energy storage system itself, such as the flow rate, temperature of the electrolyte, and pressure in the pipeline, etc., which are used to distinguish between hot standby, cold standby, shutdown, and fault states; the electrical data packets represent the charge and discharge state of the flow battery energy storage system ( Figure 2 abbreviated as the energy storage system in the text), such as the voltage of the battery stack, the DC current during charging or discharging, etc., which are used to distinguish between charging, discharging, shutdown, and fault states.

[0093] Couple and judge the process data packets and electrical data packets, and analyze the operation state of the flow battery energy storage system according to the judgment results.

[0094] The process data packets and electrical data packets are measured by high-precision sensors, which provide accurate state judgment basis for the management system in real time. The flow battery energy management system synchronously processes the process data and electrical data, combines and evaluates the operating state and charge and discharge state of the flow battery energy storage system itself, and finally obtains the current operating state of the flow battery energy storage system, such as charging, discharging, hot standby, cold standby, shutdown, fault, etc.

[0095] S4: Develop control strategies for the flow battery energy storage system when it needs to change its operating state and control strategies for the flow battery energy storage system when fluctuations or sudden anomalies occur, based on the operating status;

[0096] When the flow battery energy storage system ( Figure 3 abbreviated as the energy storage system in the text) needs to change its operating state, use the strategy to adjust the device parameters to the changed state and maintain the dynamic stability of the system; when fluctuations or sudden anomalies occur in the energy storage system, use the strategy to change the device parameters or device states, so as to maintain the system to reach a steady state.

[0097] The control strategy for changing the operating state is applicable to the working conditions of receiving scheduling from the superior system or personnel. The specific process is as Figure 3 shown:

[0098] The flow battery energy management system receives scheduling instructions from the superior system / scheduling personnel. The scheduling instructions include two types: charging power and discharging power;

[0099] The flow battery energy management system analyzes the current state of the flow battery energy storage system to determine whether the flow battery energy storage system has the output capacity required by the scheduling. If the flow battery energy storage system has the output capacity, adjust the state and parameters of the output of the flow battery energy storage system according to the scheduling instructions. If it does not have the output capacity, suspend following the scheduling instructions and send a signal indicating that the conditions are not met. The judgment conditions for whether the flow battery energy storage system in this process has the output capacity required by the scheduling are:

[0100] SOC min ≤SOC≤SOC max

[0101] p i =p i,e

[0102] p i-diff =p i -p i′ (i = 1, 2……, n)

[0103] Among them, SOC min is the minimum state of charge allowed for the flow battery energy storage system, SOC max is the maximum state of charge allowed for the flow battery energy storage system, SOC is the current state of charge of the flow battery energy storage system, p i is the current liquid pressure value at the positive electrode of the i-th set of flow battery energy storage unit modules, p i′ is the current liquid pressure value at the negative electrode, p i,e is the rated liquid pressure value, p i-diff is the liquid pressure difference between the positive and negative electrodes.

[0104] Among them,

[0105] p i-diff,min ≤ p i-diff ≤ p i-diff,max

[0106] Wherein, p i-diff,min is the allowable minimum liquid pressure difference, and p i-diff,max is the allowable maximum liquid pressure difference.

[0107] Under the condition of having the output capacity meeting the scheduling requirements, it finally switches to the hot standby state with the boundary conditions of charging and discharging of the flow battery energy storage system as the cut-off conditions, or changes to the next state upon receiving a scheduling instruction before the cut-off conditions are reached; and this cycle continues.

[0108] The boundary conditions for charging are:

[0109] SOC > SOC max , U i > U max

[0110] The boundary conditions for discharging are:

[0111] SOC < SOC min , U i < U min

[0112] Wherein, SOC is the current state of charge of the flow battery energy storage system, SOC max is the maximum allowable state of charge of the flow battery energy storage system, SOC min is the minimum allowable state of charge of the flow battery energy storage system, U i is the voltage of the i-th battery stack, and U max is the maximum allowable voltage of the battery stack, and U min is the minimum allowable voltage of the battery stack.

[0113] The control strategy when the flow battery energy storage system has fluctuations or sudden anomalies is used to protect the safe operation of the flow battery energy storage system, and corresponding control strategies are set according to the severity of the abnormal situation. In an exemplary embodiment of the present invention, according to different abnormal situations, the control strategy can be divided into three levels. The first-level control strategy is alarm and full-system action, the second-level control strategy is alarm and subsystem action, and the third-level control strategy is alarm but no action; wherein, the subsystems include the charge-discharge system, the rebalancing system, the heating system, and the process system, and the full system refers to the collection of the above subsystems.

[0114] If it is determined as a primary control strategy, the flow battery energy management system issues an audible and visual alarm, and at the same time issues a control instruction to make devices such as BMS and PCS perform the shutdown action of the entire system, thereby shutting down the charging and discharging system, rebalancing system, heating system, process system and other systems that are in operation;

[0115] If it is determined as a secondary control strategy, the flow battery energy management system issues an audible and visual alarm, and at the same time issues a control instruction to make devices such as BMS or PCS perform the shutdown action on the subsystem with anomalies, while other systems can operate in the original state.

[0116] If it is determined as a tertiary control strategy, the flow battery energy management system issues an audible and visual alarm, and the system does not perform other actions.

[0117] It should be noted that the control strategy execution scheme designed in the present invention can configure all the collected parameter information, define the trigger conditions and trigger results according to user requirements, and at the same time takes into account data fluctuations and acquisition timeliness, and processes the data such as filtering, delaying, and counter, increasing the flexibility of strategy execution.

[0118] Based on the same inventive concept, another embodiment of the present invention provides a flow battery energy management device for intelligent management operation, including:

[0119] A modular integration unit for modularly developing the subordinate devices communicating with the flow battery energy management system and the functional modules related to the flow battery energy management system respectively, and forming a module library;

[0120] A communication relationship establishment unit for establishing the communication relationship and communication protocol between the flow battery energy management system and the superior system and the integrated subordinate devices;

[0121] An operating state judgment unit for obtaining and parsing the data packets of the subordinate devices based on the communication relationship and communication protocol, classifying the parsed data, and coupling and judging the operating state of the flow battery energy storage system according to the classification results;

[0122] A control strategy specifying unit for formulating the control strategy when the flow battery energy storage system needs to change the operating state and the control strategy when the flow battery energy storage system fluctuates or suddenly has anomalies according to the operating state.

[0123] The execution steps of the modular integration unit, communication relationship establishment unit, operating state judgment unit, and control strategy specifying unit are similar to the above method, and will not be elaborated here.

[0124] Another exemplary embodiment of the present invention provides an electronic device. As Figure 4As shown, the electronic device includes at least one processor 401, at least one communication interface 402, at least one memory 403, and at least one communication bus 404; wherein, the processor 401, the communication interface 402, and the memory 403 complete communication with each other through the communication bus 404;

[0125] The memory 403 stores a computer program;

[0126] The processor 401, when used to execute the program stored in the memory 403, implements the intelligent management and operation method of the flow battery energy management.

[0127] Optionally, the communication interface may be an interface of a communication module, such as an interface of a GSM module; the processor may be a processor CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The memory may include high-speed RAM memory, and may also include non-volatile memory, for example, at least one disk memory. Among them, the memory stores a program, and the processor calls the program stored in the memory to execute some or all of the above method embodiments.

[0128] Based on the same inventive concept, an embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is run, it implements some or all of the above method embodiments. Optionally, the storage medium may be a non-temporary computer-readable storage medium. For example, the non-temporary computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0129] Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligently managing and operating a flow battery energy management method, characterized in that: The following steps are involved: The lower-level equipment that communicates with the flow battery energy management system and the functional modules related to the flow battery energy management system are modularly developed and form a module library; Establish the communication relationship and communication protocol between the flow battery energy management system and the upper system and the integrated lower-level equipment; Based on the communication relationship and the communication protocol, the data packets of the lower-level devices are acquired and parsed, the parsed data are classified, and the operation status of the flow battery energy storage system is determined according to the classification results; According to the operating state, a control strategy is formulated when the liquid flow battery energy storage system needs to change the operating state and a control strategy is formulated when the liquid flow battery energy storage system fluctuates or suddenly becomes abnormal.

2. The intelligent management and operation method for liquid flow battery energy management according to claim 1 is characterized in that: The lower-level equipment includes a flow battery energy storage unit module, a PCS module, a transformer module and a coordination control module; The functional modules include a data query module, a trend analysis module, an alarm recording module and an accident recall module.

3. The intelligent management and operation method for liquid flow battery energy management according to claim 2 is characterized in that: The liquid flow battery energy storage unit module includes an energy unit and a power unit of a liquid flow battery energy storage system; The PCS module is used to collect PCS information; The transformer module is used to collect transformer information; The coordination control module is used to control and coordinate the liquid flow battery energy storage unit module, PCS module and transformer module.

4. The intelligent management and operation method for liquid flow battery energy management according to claim 2 is characterized in that: The data query module is used to query historical data within a certain period of time according to the data type on the user interface of the flow battery energy management system; The trend analysis module is used to graphically demonstrate the historical data within the time period and generate key indicator parameters based on historical data query; The alarm recording module is used to record and process the alarm information of the flow battery energy storage system; The accident recall module is used to record the contents of the two periods before and after the accident.

5. The intelligent management and operation of the liquid flow battery energy management method according to claim 1 is characterized in that: The superior system includes an automatic power generation control system and an superior energy management system.

6. The method for intelligently managing and operating a flow battery energy management according to any one of claims 1 to 5, characterized in that: The communication relationship and communication protocol between the flow battery energy management system and the upper system and lower equipment are established as follows: The communication information between the flow battery energy management system and the lower-level equipment covers the smallest unit of data collected by the flow battery energy storage system and covers all signals transmitted by electrical equipment; The flow battery energy management system establishes communication with the upper-level system and controls the lower-level equipment to perform actions according to the dispatching instructions issued by the upper-level system.

7. The intelligent management and operation method for liquid flow battery energy management according to claim 1 is characterized in that: Acquiring and parsing data packets of lower-level devices based on the communication relationship and communication protocol, classifying the parsed data, and determining the operating status of the flow battery energy storage system according to the classification results comprises the following steps: Collecting data packets of the lower-level devices based on the communication relationship; Parsing the collected data packets based on the communication protocol; The parsed data is classified into two forms: process data package and electrical data package; A coupling judgment is performed on the process data packet and the electrical data packet, and the operating status of the system is analyzed according to the judgment result.

8. The intelligent management and operation of the liquid flow battery energy management method according to claim 1 is characterized in that: Formulating a control strategy when the flow battery energy storage system needs to change the operating state according to the operating state includes the following steps: The flow battery energy management system receives dispatch instructions from the superior system or dispatchers. The dispatch instructions include charging power and discharging power. The liquid flow battery energy management system analyzes the current state of the liquid flow battery energy storage system to determine whether the liquid flow battery energy storage system has the output capacity required by the dispatching; If the liquid flow battery energy storage system has the output capacity required by the dispatch, the state and parameters of the liquid flow battery energy storage system output are adjusted according to the dispatch instructions; if it does not have the output capacity, it will stop following the dispatch instructions and maintain the current state.

9. The intelligent management and operation method for liquid flow battery energy management according to claim 8, characterized in that: The conditions for judging whether the flow battery energy storage system has the output capacity required by the dispatch are: SOC min ≤SOC≤SOC max p i =p i,e p i-diff =p i -p i′ (i=1,2……,n) Among them, SOC min SOC is the minimum state of charge allowed by the flow battery energy storage system. max is the maximum state of charge allowed by the flow battery energy storage system, SOC is the current state of charge of the flow battery energy storage system, and p i is the current liquid pressure value of the positive electrode of the i-th flow battery energy storage unit module, p i′ is the current liquid pressure value of the negative electrode, p i,e is the rated liquid pressure value, p i-diff is the pressure difference between the positive and negative liquids; in, p i-diff,min ≤p i-diff ≤p i-diff,max In the formula, p i-diff,min The minimum allowable liquid pressure difference, p i-diff,max The maximum allowable liquid pressure difference.

10. The intelligent management and operation method for liquid flow battery energy management according to claim 8, characterized in that: When the liquid flow battery energy storage system has the output capacity required by the scheduling, the liquid flow battery energy storage system is switched to a hot standby state with the boundary conditions of charging and discharging of the liquid flow battery energy storage system as the cutoff conditions; Wherein, the boundary condition of the charging is: SOC>SOC max ,The i >The max The boundary conditions of the discharge are: SOC <SOC min ,The i min ​ Among them, SOC is the current state of charge of the flow battery energy storage system. max SOC is the maximum state of charge allowed by the flow battery energy storage system. min is the minimum state of charge allowed by the flow battery energy storage system, U i is the voltage of the ith battery stack, U max To allow the maximum battery stack voltage, U min is the minimum allowed battery stack voltage.

11. The intelligent management and operation method for liquid flow battery energy management according to claim 10, characterized in that: If the next scheduling instruction is received before the deadline condition is met, the next state is changed to the new scheduling instruction.

12. The intelligent management and operation method for liquid flow battery energy management according to claim 8, characterized in that: Formulating a control strategy for the flow battery energy storage system when fluctuations or sudden abnormalities occur according to the operating state includes the following steps: The flow battery energy storage system is divided into three levels according to the severity of fluctuations or sudden abnormalities; Set the corresponding control strategy according to each level. The first-level control strategy is alarm and full system action, the second-level control strategy is alarm and subsystem action, and the third-level control strategy is alarm but no action. A corresponding control strategy is implemented according to the level corresponding to the fluctuation or abnormal situation.

13. A liquid flow battery energy management device with intelligent management and operation, characterized in that: include: A modular integration unit is used to modularize the lower-level equipment that communicates with the flow battery energy management system and the functional modules related to the flow battery energy management system, and form a module library; A communication relationship establishment unit, used to establish the communication relationship and communication protocol between the flow battery energy management system and the upper system and the integrated lower-level equipment; An operation status judgment unit, used to obtain and parse data packets of lower-level devices based on the communication relationship and communication protocol, classify the parsed data, and determine the operation status of the flow battery energy storage system according to the classification results; The control strategy specifying unit is used to formulate a control strategy when the liquid flow battery energy storage system needs to change the operating state and a control strategy when the liquid flow battery energy storage system fluctuates or suddenly becomes abnormal according to the operating state.

14. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a memory storing a computer program; The processor is used to implement the intelligent management and operation of the liquid flow battery energy management method described in any one of claims 1 to 12 when executing the program stored in the memory.

15. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed, the intelligent management and operation method for liquid flow battery energy management as described in any one of claims 1 to 12 is executed.

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