CN115563786A - Electrochemical energy storage power station fault scene reconstruction method - Google Patents
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Abstract
The patent relates to a method for reconstructing a fault scene of an electrochemical energy storage power station, which comprises the following processes: connecting an electrochemical energy storage power station control center platform, fault simulation control software and a semi-physical simulation model; constructing an electrochemical energy storage power station 'electricity-heat' fault database; preprocessing data information; establishing a database; reconstructing a fault scene of the electrochemical energy storage power station; constructing a running environment and an interface response mapping matrix, and determining interface excitation and working states; collecting different types of signals; after the single fault scene test program is completed, the signal excitation and acquisition module acquires and analyzes the operation information of the energy storage power station and the operation test signals of each subsystem again; and carrying out image numerical analysis on the signal fluctuation influence and the fault removal condition caused by the fault signal to finish the system joint debugging test. The testing method can effectively improve the fault detection efficiency and the operation and maintenance reliability of the electrochemical energy storage power station and reduce the operation and maintenance cost.
Description
The technical field is as follows:
the patent relates to the technical field of new energy, in particular to a method for reconstructing a fault scene of an electrochemical energy storage power station.
Technical background:
at present, electrochemistry energy storage power station often forms with the form combination of battery container, different time nodes in system assembly process, all need to merge into the transient state trouble early warning device and the control system of electrochemistry energy storage power station to the battery container and carry out artificial debugging many times, artificial debugging is difficult to found the fault simulation scene and is subject to detection technique, lead to electrochemistry energy storage power station fault test debugging incompleteness easily, test length consuming time, easily lead to electrochemistry energy storage power station operational safety problem, and increase the cost of putting into operation. And the current machine debugging fault database has larger coding difference, the fault test selection has no definite specification, the fault operation scene is single and the like.
The invention content is as follows:
the invention provides a method for reconstructing a fault scene of an electrochemical energy storage power station, which has the following specific technical scheme:
a method for reconstructing a fault scene of an electrochemical energy storage power station comprises the following processes:
step 1: connecting an electrochemical energy storage power station control center platform, fault simulation control software and a semi-physical simulation model;
wherein, the control center platform includes: the system comprises an energy management system of the energy storage container, a power conversion system, an Ethernet communication interface, a signal adapter and an operation information acquisition device;
the fault simulation control software comprises: the system comprises a signal display card control program, a fault database, an electric-thermal fault data acquisition module, an information induction and classification module, an information sending and receiving device and a UI operation interface;
the semi-physical simulation model main body is based on the semi-physical model of the electrochemical energy storage power station constructed by the DSATOols simulation platform, and is used for sending operation fault information or receiving test control instructions, and the method further comprises the following steps: the system comprises a fault positioning system, an electrical parameter sampling system and a thermal data sampling system;
step 2: an electrochemical energy storage power station 'electricity-heat' fault database is constructed, and the 'electricity-heat' fault information of the energy storage power station is collected through manual operation maintenance experience and relay protection equipment;
and 3, step 3: preprocessing acquired data information, judging whether gas is abnormally discharged or not according to different types of signal data, signal meanings represented by different data bits and fault position information by multi-dimensional and three-dimensional decomposition of the fault information, judging the change condition of sound, smoke and temperature sensing devices, and carrying out labeling coding processing on parameters such as fault occurrence positions, fault devices, fault influences and fault parameters by adopting a translation optimization algorithm with online learning capacity and loading the parameters into a database, wherein the three-level electrochemical parameter change condition of a battery cluster-battery cabin-power station is the change condition of three-level electrochemical parameters;
and 4, step 4: classifying, describing and storing typical fault information including an energy storage power station operation scene and a fault position aiming at faults, comprehensively adopting an analytic hierarchy process and a fuzzy strategy to classify the fault danger grade in the database into 1-10 grades according to the fault influence degree, and completing the establishment of the fault database; thereby establishing a database containing various faults of the energy storage power station and corresponding related description and definition; the database comprises a battery cluster fault database, a battery compartment fault database and an energy storage power station bus fault database, and each part of database comprises data management, data calling and data storage functions;
step 5, dividing the operation scene reconstruction elements of the electrochemical energy storage power station into two parts, namely an environmental factor and a test factor, and carrying out standard setting on scene reconstruction parameters and constraint conditions according to the environment factor and the test factor;
step 6: reconstructing a fault scene of the electrochemical energy storage power station; adopting a fitness evaluation function to reflect the difference degree with other fault scenes in the same set, and constructing a corresponding fault scene, wherein the method specifically comprises the following steps:
constructing a failure scenario s comprising o 1 ，o 2 ，…o n Each following an independently operating equipment body in a corresponding operating mode of m 1 ，m 2 ，…m n And the operation modes of all the main bodies are switched along with time under the fault scene, and then the s matrix expression of the fault scene is as follows:
wherein, t i,j Switching the operation modes of the corresponding equipment at the time i and the time j;
taking the transmission decoding process of each fault scene s influence factor as a fault scene combination of uncertain factors, calculating the difference between generated fault scenes, distributing a fitness value according to the contribution of the fault scene to the diversity of a fault set, and distributing the influence value of each fault scene based on the solution x before the fault scene is constructed and the objective result of the scene s:
wherein i is a target index; computing all s in the set on a per i basis
Then, the situation of generating the diversity of the fault scenes can be determined by the geometric distance cd of each fault scene s And analyzing and sequencing, wherein a geometric distribution distance calculation formula between adjacent scenes can be expressed as:
wherein,
after ranking and combination are completed for the ranking positions of the targets i in the set, the ranked fault scenes are eliminated according to the geometric distribution intervals among the fault scenes, and a new fault scene set omega containing fault influence factors is formed through combination;
step 6: in the process of testing the fault of the electrochemical energy storage power station, signals to be tested comprise direct-current bus signals of the energy storage power station, grid-connected bus signals, state signals of an energy storage container and a battery cluster and bus signals, a simulation test environment needs to be provided aiming at the type of the fault signals, an operation environment and an interface response mapping matrix are constructed, and interface excitation and working states are determined;
and 7: the fault simulation control software controls the signal excitation/acquisition module to acquire different types of signals in the coded database, and the signal acquisition board card comprises: the electric signal acquisition board card is used for acquiring a loop fluctuation current signal, a voltage signal and a frequency signal, and the sensing signal acquisition board card is used for acquiring a sound sensing signal, a smoke sensing signal and a temperature sensing signal in the battery container; analyzing and processing the signals through a signal transfer device, sending the signals to a control center platform of the energy storage power station, and sending instructions by a control unit to carry out combined debugging and operation on the simulated faults of the fault test system of the energy storage power station and the power grid system;
and 8: after the single fault scene test program is completed, the signal excitation and acquisition module acquires and analyzes the operation information of the energy storage power station and the operation test signals of each subsystem again, and the method comprises the following steps: the system comprises electric signals of battery SOC \ SOH, power charge-discharge data and voltage fluctuation rate, sensing signals of temperature, humidity and noise intensity in a battery compartment, a PCS energy management signal and an AGC control signal; finally, storing the test signal result into a database, and sequentially continuing to perform the next energy storage power station fault test based on the fault scene reconstruction;
and step 9: and after all fault test items in the fault scene set omega are completed, displaying the fault test items on a UI (user interface) of a main control software platform one by one, and carrying out image numerical analysis on the signal fluctuation influence and the fault removal condition caused by the fault signal to complete the joint debugging test of the system.
The testing method can reasonably configure a fault testing scheme through an intelligent online learning method under the condition of partial installation of the electrochemical energy storage power station, automatically carry out fault simulation and virtual simulation debugging on the on-grid/off-grid operation mode of the electrochemical energy storage power station through a fault simulation joint debugging simulation system and by adopting a scene reconstruction method, effectively improve the fault detection efficiency and the operation and maintenance reliability of the electrochemical energy storage power station, and reduce the operation and maintenance cost.
Description of the drawings:
FIG. 1 is a fault scenario test connection diagram of an electrochemical energy storage power station in an embodiment.
FIG. 2 is a diagram of an electrochemical energy storage failure database in an embodiment.
FIG. 3 is a component diagram of a fault test scenario of the electrochemical energy storage power station in the embodiment.
FIG. 4 is a flow chart of electrochemical energy storage power station fault scene reconstruction testing.
The specific implementation mode is as follows:
the embodiment is as follows:
a method for reconstructing a fault scene of an electrochemical energy storage power station comprises the following processes:
step 1: connecting an electrochemical energy storage power station control center platform, fault simulation control software and a semi-physical simulation model, as shown in figure 1;
wherein, the control center platform includes: the system comprises an energy management system of the energy storage container, a power conversion system, an Ethernet communication interface, a signal adapter and an operation information acquisition device;
the fault simulation control software comprises: the system comprises a signal display card control program, a fault database, an electric-thermal fault data acquisition module, an information induction and classification module, an information sending and receiving device and a UI operation interface;
the semi-physical simulation model main body is based on the semi-physical model of the electrochemical energy storage power station constructed by the DSATOols simulation platform, and is used for sending operation fault information or receiving test control instructions, and the method further comprises the following steps: the system comprises a fault positioning system, an electrical parameter sampling system and a thermal data sampling system;
step 2: constructing an electrochemical energy storage power station 'electricity-heat' fault database, and acquiring energy storage power station 'electricity-heat' fault information through manual operation maintenance experience and relay protection equipment as shown in figure 2;
and step 3: preprocessing acquired data information, judging whether gas is abnormally discharged or not according to the multi-dimensional decomposition of fault information, sound sensation, smoke sensation and temperature sensation of signal data of different types, signal meaning represented by each data bit and fault position information, judging the change condition of three-level electrochemical parameters of a battery cluster-battery compartment-power station according to the multi-dimensional decomposition of the fault information, labeling and coding parameters such as fault occurrence positions, fault devices, fault influences and fault parameters by adopting a translation optimization algorithm with online learning capacity, and loading the parameters into a database;
and 4, step 4: classifying, describing and storing the fault information including the operation scene of the energy storage power station and the typical fault information of the fault position, comprehensively adopting an analytic hierarchy process and a fuzzy strategy to classify the fault danger level in the database into 1-10 levels according to the fault influence degree, completing the establishment of the fault database, and facilitating the later retrieval of the relevant fault information; establishing a database containing various faults of the energy storage power station and corresponding related description and definition; the database comprises a battery cluster fault database, a battery compartment fault database and an energy storage power station bus fault database, and each part of database comprises data management, data calling and data storage functions; the database further comprises: the operation processing method corresponding to various faults, the fault reconstruction system, the energy storage power station control system model and the fault model simulation signal can realize virtual reconstruction fault tests of different energy storage power station control systems by using the established database in the actual assembly test process;
and 5: dividing the operation scene reconstruction elements of the electrochemical energy storage power station into two parts, namely an environmental factor and a test factor, as shown in figure 3, and carrying out standard setting on scene reconstruction parameters and constraint conditions according to the environment factor and the test factor;
step 6: reconstructing a fault scene of the electrochemical energy storage power station, as shown in FIG. 4; the fault generation scenario is a combination of various uncertain possible results, and the target of the fault scenario generation is to obtain a total body containing different fault scenarios as far as possible after limited iterations; adopting a fitness evaluation function to reflect the difference degree with other fault scenes in the same set, and constructing corresponding fault scenes; the method comprises the following specific steps:
constructing a failure scenario s containing o 1 ，o 2 ，…o n Each following an independently operating equipment body in a corresponding operating mode of m 1 ，m 2 ，…m n And the operation modes of all the main bodies are switched along with time in the fault scene, the s matrix expression of the fault scene is as follows:
wherein, t i,j Switching the operation modes of the corresponding equipment at the time i and the time j;
taking the transmission decoding process of the influence factors of each fault scene s as a fault scene combination of uncertain factors, calculating the difference among the generated fault scenes, distributing a fitness value according to the contribution of the fault scene to the diversity of a fault set, and distributing the influence value of each fault scene based on the solution x before the fault scene is constructed and the objective result of the scene s:
wherein i is a target index; calculating all s in the set on a per i basis
Then, the situation of generating the diversity of the fault scenes can be determined by the geometric distance cd of each fault scene s Performing analysis sequencing, and a calculation formula of the geometric distribution distance between adjacent scenes can be expressed as follows:
wherein,
after ranking and combination are completed for the ranking positions of the targets i in the set, the ranked fault scenes are eliminated according to the geometric distribution intervals among the fault scenes, and a new fault scene set omega containing fault influence factors is formed through combination;
and 7: in the process of testing the fault of the electrochemical energy storage power station, signals to be tested comprise direct-current bus signals of the energy storage power station, grid-connected bus signals, state signals of an energy storage container and a battery cluster and bus signals, a simulation test environment needs to be provided aiming at the type of the fault signals, an operation environment and an interface response mapping matrix are constructed, and interface excitation and working states are determined; the specific process comprises the following steps:
step 7.1: inputting relevant parameters of a battery monomer, a battery container and an energy storage power station;
and 7.2: selecting a power station operation mode and carrying out performance test;
step 7.3: constructing a mapping matrix and a test data storage unit;
step 7.4: judging whether fault simulation conditions are met, and turning to step 6.11 if the fault simulation conditions are met, or turning to step 6.5;
step 7.5: performing conventional operation simulation under a combined supply system;
step 7.6: storing environment acquisition parameters such as a power station operation mode and the like and simulation data into a data storage unit;
step 7.7: judging whether the termination condition is met, if so, directly ending, otherwise, turning to the step 6.2;
step 7.11: selecting a fault type and a fault node;
step 7.12: reading a fault database of the electrochemical energy storage power station;
step 7.13: extracting the category of the fault to be tested and the category of the fault to be tested in a sampling mode according to the fault influence level, and generating a reconstructed scene set omega of the time;
step 7.14: collecting fault types in omega in an operation scene one by one, and collecting the electric quantity data of buses in the energy storage power station and the operation data of each container;
step 7.15: calculating the maximum fluctuation rate of the bus voltage and frequency, the operating temperature, the output power and other parameters of the corresponding device;
step 7.16: the software control center samples and analyzes fault data and issues corresponding fault removal instruction information;
step 7.17: judging whether all the operation in the scene set omega is finished, and turning to the step 6.6 after the operation is finished; otherwise go to step 6.18;
step 7.18: updating the environmental factors of the operating scene of the energy storage power station;
step 7.19: updating the test factors of the operation scene of the energy storage power station; then returning to step 6.14;
and 8: the fault simulation control software controls the signal excitation/acquisition module to acquire different types of signals in the coded database, and the signal acquisition board card comprises: the electric signal acquisition board card is used for acquiring a loop fluctuation current signal, a voltage signal and a frequency signal, and the sensing signal acquisition board card is used for acquiring a sound sensing signal, a smoke sensing signal and a temperature sensing signal in the battery container; analyzing and processing the signals through a signal transfer device, sending the signals to a control center platform of the energy storage power station, and sending instructions by a control unit to carry out combined debugging and operation of the fault test system of the energy storage power station and the simulation fault of the power grid system;
and step 9: after the single fault scene test program is completed, the signal excitation and acquisition module acquires and analyzes the operation information of the energy storage power station and the operation test signals of all subsystems again, and the method comprises the following steps: the battery management system comprises electric signals of battery SOC \ SOH, power charge-discharge data and voltage fluctuation rate, sensing signals of temperature, humidity and noise intensity in a battery cabin, a PCS energy management signal and an AGC control signal; finally, storing the test signal result to a database, and sequentially continuing to perform the next fault test of the energy storage power station based on the fault scene reconstruction;
step 10: and after each fault test item in the fault scene set omega is completed, displaying the fault test items on the UI interface of the main control software platform one by one, and carrying out image numerical analysis on the signal fluctuation influence and the fault removal condition caused by the fault signal to complete the joint debugging test of the system.
Claims (2)
1. A method for reconstructing a fault scene of an electrochemical energy storage power station is characterized by comprising the following steps:
step 1: connecting an electrochemical energy storage power station control center platform, fault simulation control software and a semi-physical simulation model;
wherein, the control center platform includes: the system comprises an energy management system of the energy storage container, a power conversion system, an Ethernet communication interface, a signal adapter and an operation information acquisition device;
the fault simulation control software comprises: the system comprises a signal display card control program, a fault database, an electric-thermal fault data acquisition module, an information induction and classification module, an information sending and receiving device and a UI operation interface;
the semi-physical simulation model main body is based on the semi-physical model of the electrochemical energy storage power station constructed by the DSATOols simulation platform, and is used for sending operation fault information or receiving test control instructions, and the method further comprises the following steps: the system comprises a fault positioning system, an electrical parameter sampling system and a thermal data sampling system;
step 2: an electrochemical energy storage power station 'electricity-heat' fault database is constructed, and the 'electricity-heat' fault information of the energy storage power station is collected through manual operation maintenance experience and relay protection equipment;
and step 3: preprocessing acquired data information, judging whether gas is abnormally discharged or not according to the multi-dimensional decomposition of fault information, whether the gas is abnormally discharged or not, whether sound, smoke and temperature sensing devices sense the change conditions or not and whether the change conditions of three-level electrochemical parameters of a battery cluster, a battery compartment and a power station are judged according to different types of signal data, namely, self-defined coding formats, mark code types, signal meanings represented by data bits and fault position information, adopting a translation optimization algorithm with online learning capacity to perform labeling coding processing on fault occurrence positions, fault devices, fault influences and fault parameter parameters and loading the label coding processing into a database;
and 4, step 4: classifying, describing and storing typical fault information including an energy storage power station operation scene and a fault position aiming at faults, comprehensively adopting an analytic hierarchy process and a fuzzy strategy to classify the fault danger grade in the database into 1-10 grades according to the fault influence degree, and completing the establishment of the fault database; establishing a database containing various faults of the energy storage power station and corresponding related description and definition; the database comprises a battery cluster fault database, a battery compartment fault database and an energy storage power station bus fault database, and each part of database comprises data management, data calling and data storage functions;
and 5: dividing the operation scene reconstruction elements of the electrochemical energy storage power station into two parts, namely an environmental factor and a test factor, and carrying out standard setting on scene reconstruction parameters and constraint conditions according to the environment factor and the test factor;
step 6: reconstructing a fault scene of the electrochemical energy storage power station; adopting a fitness evaluation function to reflect the difference degree with other fault scenes in the same set, and constructing corresponding fault scenes; the method comprises the following specific steps:
constructing a failure scenario s comprising o 1 ，o 2 ，…o n Each following an independently operating equipment body in a corresponding operating mode of m 1 ，m 2 ，…m n And the operation modes of all the main bodies are switched along with time in the fault scene, the s matrix expression of the fault scene is as follows:
wherein, t i,j Switching the operation modes of the corresponding equipment at the time i and the time j;
taking the transmission decoding process of the influence factors of each fault scene s as a fault scene combination of uncertain factors, calculating the difference among the generated fault scenes, distributing a fitness value according to the contribution of the fault scene to the diversity of a fault set, and distributing the influence value of each fault scene based on the solution x before the fault scene is constructed and the objective result of the scene s:
wherein i is a target index; on a per basisOf all s in the set of i calculations
Then, the situation of generating the diversity of the fault scenes can be determined by the geometric distance cd of each fault scene s Performing analysis sequencing, and a calculation formula of the geometric distribution distance between adjacent scenes can be expressed as follows:
wherein,
after ranking and combination are completed for the ranking positions of the targets i in the set, ranking ranked fault scenes are eliminated according to the geometric distribution distance among the fault scenes, and a new fault scene set omega containing fault influence factors is formed through combination;
and 7: in the process of testing the fault of the electrochemical energy storage power station, signals to be tested comprise direct-current bus signals of the energy storage power station, grid-connected bus signals, state signals of an energy storage container and a battery cluster and bus signals, a simulation test environment needs to be provided aiming at the type of the fault signals, an operation environment and an interface response mapping matrix are constructed, and interface excitation and working states are determined;
and step 8: the fault simulation control software controls the signal excitation/acquisition module to acquire different types of signals in the coded database, and the signal acquisition board card comprises: the electric signal acquisition board card is used for acquiring a loop fluctuation current signal, a voltage signal and a frequency signal, and the sensing signal acquisition board card is used for acquiring sound sensation, smoke sensation and temperature sensation signals in the battery container; analyzing and processing the signals through a signal transfer device, sending the signals to a control center platform of the energy storage power station, and sending instructions by a control unit to carry out combined debugging and operation of the fault test system of the energy storage power station and the simulation fault of the power grid system;
and step 9: after the single fault scene test program is completed, the signal excitation and acquisition module acquires and analyzes the operation information of the energy storage power station and the operation test signals of each subsystem again, and the method comprises the following steps: the system comprises electric signals of battery SOC \ SOH, power charge-discharge data and voltage fluctuation rate, sensing signals of temperature, humidity and noise intensity in a battery compartment, a PCS energy management signal and an AGC control signal; finally, storing the test signal result to a database, and sequentially continuing to perform the next fault test of the energy storage power station based on the fault scene reconstruction;
step 10: and after all fault test items in the fault scene set omega are completed, displaying the fault test items on a UI (user interface) of a main control software platform one by one, and carrying out image numerical analysis on the signal fluctuation influence and the fault removal condition caused by the fault signal to complete the joint debugging test of the system.
2. The electrochemical energy storage power station fault scenario reconstruction method of claim 1, wherein the database in step 4 further comprises: the method comprises operation processing methods corresponding to various faults, a fault reconstruction system, an energy storage power station control system model and fault model simulation signals.
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| CN116050844B (en) * | 2023-02-07 | 2024-01-26 | 中国安全生产科学研究院 | Intelligent supervision method and system for new business security risk |
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