CN111585354A - Intelligent operation and detection equipment for energy storage power station - Google Patents
Intelligent operation and detection equipment for energy storage power station Download PDFInfo
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- CN111585354A CN111585354A CN202010551786.1A CN202010551786A CN111585354A CN 111585354 A CN111585354 A CN 111585354A CN 202010551786 A CN202010551786 A CN 202010551786A CN 111585354 A CN111585354 A CN 111585354A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C3/00—Fire prevention, containment or extinguishing specially adapted for particular objects or places
- A62C3/16—Fire prevention, containment or extinguishing specially adapted for particular objects or places in electrical installations, e.g. cableways
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Abstract
The embodiment of the invention provides intelligent operation and inspection equipment for an energy storage power station, and relates to the technical field of equipment state monitoring and maintenance of the energy storage power station. The equipment comprises a data processing server, an equipment data acquisition system, an application server, a mobile operation and inspection terminal and fire fighting equipment, wherein the equipment data acquisition system, the application server, the mobile operation and inspection terminal and the fire fighting equipment are connected with the data processing server. The equipment data acquisition system is used for acquiring the operating parameters of the energy storage power station and transmitting the operating parameters to the data processing server; the data processing server is used for storing and processing the operation parameters and transmitting the operation parameters to the application server and the mobile operation and detection terminal; the application server is used for being installed in a control room, intelligent operation and inspection control software is installed on the application server and the mobile operation and inspection terminal, operation parameters are processed according to the intelligent operation and inspection control software to obtain an equipment fault state, and the application server is further used for sending a reminding signal and sending a fire fighting instruction to fire fighting equipment according to the equipment fault state. The equipment can reduce operation maintenance time and reduce the difficulty of equipment fault analysis.
Description
Technical Field
The invention relates to the technical field of equipment state monitoring and overhauling of energy storage power stations, in particular to intelligent operation and overhauling equipment of an energy storage power station.
Background
In order to promote the optimization and upgrade of energy industry in China and respond to the national call to realize clean low-carbon development, in recent years, China vigorously develops clean energy, and wind energy, solar energy and photovoltaic energy all realize the leap-type development. However, when clean energy is developed at a high speed, the fluctuation and intermittent new energy grid connection bring adverse effects to the aspects of regulation and control operation, safety control and the like of a power grid, and the effective utilization of the clean energy is greatly limited. The new energy industry develops rapidly in the global scope, the power supply with intermittence and volatility accounts for a larger proportion and is gradually improved in the power system, so that the demands of services such as peak shaving, frequency modulation and the like in the power system are rapidly increased, and the battery energy storage power station is used as a flexibility adjusting resource to participate in the power market more and more. The scale of construction and operation of energy storage power stations in power systems is rapidly increasing. Under the background of rapid development of the industry, the energy storage power station has the disadvantages of large equipment quantity, complex fault reasons and large fire hazard, so that the operation and maintenance cost of the energy storage power station is high. Therefore, the high operation and maintenance service cost in the battery energy storage power station becomes one of the key bottlenecks restricting the development of the industry at present.
Therefore, the energy storage power station intelligent operation and maintenance equipment based on equipment data deep mining and the control method thereof are designed to reduce operation and maintenance time and reduce difficulty of equipment fault analysis, which is a technical problem to be solved urgently at present.
Disclosure of Invention
The invention aims to provide intelligent operation and maintenance equipment for an energy storage power station, which can reduce operation and maintenance time and reduce the difficulty of equipment fault analysis.
Embodiments of the invention may be implemented as follows:
in a first aspect, an embodiment of the present invention provides an intelligent operation and inspection device for an energy storage power station, where the intelligent operation and inspection device for an energy storage power station includes a data processing server, and a device data acquisition system, an application server, a mobile operation and inspection terminal, and a fire fighting device, which are connected to the data processing server;
the equipment data acquisition system is used for acquiring the operating parameters of the energy storage power station and transmitting the operating parameters to the data processing server;
the data processing server is used for storing and processing the operation parameters and transmitting the operation parameters to the application server and the mobile operation and detection terminal;
the application server is used for being installed in a control room, intelligent operation and detection control software is installed on the application server and the mobile operation and detection terminal, and the application server and the mobile operation and detection terminal process the operation parameters according to the intelligent operation and detection control software to obtain an equipment fault state; and the application server and the mobile operation and detection terminal send out a reminding signal and send a fire-fighting instruction to the fire-fighting equipment according to the equipment fault state.
In an optional embodiment, the intelligent operation and detection control software sets the fault state to four levels: fire state, fault state, high hidden danger state and normal state;
and the data processing server is also used for sending the fault state to the application server and the mobile operation and detection terminal.
In an optional embodiment, the device data acquisition system comprises a battery temperature sensor, a battery pressure release valve sensor, a battery internal resistance detection device, a battery cluster current sensor, a combustible gas sensor and a smoke alarm.
In an optional embodiment, when the device data acquisition system detects that the battery temperatures T at multiple locations are greater than or equal to 180 ℃, or that multiple smoke alarms operate, the data processing server determines that the batteries are in the fire state, and the data processing server sends a fire alarm signal to the application server and the mobile operation and detection terminal and controls the fire fighting device to perform a cooling and fire extinguishing operation.
In an optional implementation manner, when the device data acquisition system detects that the smoke alarm is not actuated, the battery temperature T is less than 180 ℃ but greater than or equal to 120 ℃, the battery pressure release valve is actuated, the combustible gas sensor is actuated, the battery internal resistance is less than 10m Ω, and the absolute value of the battery cluster current I is greater than or equal to Imax, the data processing server determines that the battery is in the fault state, and the data processing server sends a device fault signal to the application server and the mobile operation and detection terminal and controls the device to stop.
In an optional embodiment, when the device data acquisition system detects that any one of a battery cluster voltage difference C1, a battery cluster voltage extreme C2, a battery cluster current difference C3, a battery cluster current extreme C4, a battery cluster state of charge difference C5, a battery cluster state of charge extreme C6, a battery cluster health difference C7, and a battery cluster health extreme C8 exceeds a preset range, the data processing server determines that the battery bay is in the high-risk state, and the data processing server sends a fault early warning signal to the application server and the mobile operation and detection terminal.
In an optional implementation manner, when the device data acquisition system detects that any one of a voltage difference value M1 of a battery module, a voltage extreme value M2 of the battery module, a voltage increment capacity value M3 of the battery module, and a current extreme value M4 of the battery module exceeds a preset range, the data processing server determines that the battery cluster is in the high-risk state, and the data processing server sends a fault early warning signal to the application server and the mobile operation and detection terminal.
In an optional embodiment, when the device data acquisition system detects that any one of a temperature difference value N1 of a cell in a module, a temperature extreme value N2 of the cell in the module, a temperature variance N3 of the cell in the module, a voltage difference value N4 of the cell in the module, a voltage extreme value N5 of the cell in the module, a voltage variance N6 of the cell in the module, a voltage increment capacity value N7 of a battery module, and the like, exceeds a preset range, the data processing server determines that the battery module is in the high-risk state, and the data processing server sends a fault early warning signal to the application server and the mobile operation and detection terminal.
In an optional embodiment, when the device data acquisition system detects that any one of a cell temperature extreme value D1, a cell voltage extreme value D2, a cell temperature rise speed D3, a cell temperature decrease speed D4, a cell voltage increase speed D5, a cell voltage decrease speed D6, and a cell internal resistance change rate D7 exceeds a preset range, the data processing server determines that a cell is in the high-risk state, and the data processing server sends a fault warning signal to the application server and the mobile operation and detection terminal.
In an optional embodiment, when the device data acquisition system detects that the temperature Tz of the inverter is greater than or equal to 180 ℃, the smoke alarm is actuated, and the combustible gas sensor is actuated, the data processing server determines that the inverter is in the fire state, sends a fire alarm signal to the application server and the mobile operation and detection terminal, and controls the fire fighting device to perform cooling and fire extinguishing operations;
when the equipment data acquisition system detects AC fuse breaking alarm information Z4 and DC fuse breaking alarm information Z5, the data processing server judges that the inverter is in the fault state, and the data processing server sends an equipment fault signal to the application server and the mobile operation and detection terminal and controls equipment to stop;
when the equipment data acquisition system detects that any one of an alternating-current side voltage extreme value Z1, a direct-current side voltage extreme value Z2 and an alternating-current side frequency Z3 exceeds a preset range, the data processing server judges that the inverter is in the high potential hazard state, and the data processing server sends a fault early warning signal to the application server and the mobile operation and detection terminal.
The energy storage power station intelligent operation and inspection equipment provided by the embodiment of the invention has the beneficial effects that:
the state analysis process of the equipment adopts an equipment fault state evaluation model based on a data depth mining technology, can find the high hidden danger state of the equipment, sends out a fault early warning signal and provides operation measures for preventive maintenance. Energy storage power station intelligence fortune is examined equipment and can be set up high hidden danger state in advance and send equipment trouble signal, recycles equipment trouble expert diagnostic function analysis equipment trouble reason, utilizes handheld removal fortune to examine the terminal navigation to this fault equipment, utilizes equipment fortune dimension to overhaul auxiliary function at last to carry out work order and operation order management, guarantee the standardization of maintenance process and the implementation efficiency that improves the business process. The automatic control fire-fighting equipment realizes rapid temperature reduction and fire extinguishment under the condition that the equipment is in fire so as to avoid larger-scale fire or explosion accidents. This equipment is examined to energy storage power station intelligence fortune can improve the intelligent level of operation maintenance efficiency and asset management of energy storage power station, including shortening equipment trouble or conflagration discovery time, reduce equipment trouble repair time, reduce operation maintenance cost of overhaul, improve equipment utilization ratio, delay equipment performance decay, improve the level that becomes more meticulous of asset management, and then promote the comprehensive income of energy storage power station in full life cycle.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an energy storage power station intelligent operation and inspection device provided in an embodiment of the present invention.
Icon: 100-intelligent operation and inspection equipment of an energy storage power station; 110-a data processing server; 120-a device data acquisition system; 130-an application server; 140-mobile operation and inspection terminal; 150-a fire fighting device; 160-intelligent operation and inspection control software.
Detailed Description
In order to make the objects, 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 drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. indicate an orientation or a positional relationship based on that shown in the drawings or that the product of the present invention is used as it is, this is only for convenience of description and simplification of the description, and it does not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
Referring to fig. 1, the present embodiment provides an energy storage power station intelligent operation and inspection device 100, a data processing server 110, a device data acquisition system 120 connected to the data processing server 110, an application server 130, a mobile operation and inspection terminal 140, and a fire fighting device 150. Wherein, the communication of each component can adopt wired communication technology and wireless communication technology. Wired communication technologies include optical fiber communication, network cable communication, coaxial cable communication, and the like; the wireless communication technology comprises 4G, 5G, LoRa, WiFi, ZigBee, NBlot and other technologies. The data processing server 110 may be a RISC server or a CISC server. The mobile operation and inspection terminal 140 comprises a mobile phone, a tablet personal computer and the like, and the mobile operation and inspection terminal 140 can be provided with and operate the intelligent operation and inspection control software 160 and has the functions of navigation, two-dimensional code scanning, sound alarm and the like. The mobile audit terminal 140 may communicate information bi-directionally with the data processing server 110 via wireless communication techniques.
The device data acquisition system 120 is configured to acquire operating parameters of the energy storage power station and transmit the operating parameters to the data processing server 110. The device data acquisition system 120 includes a battery temperature sensor, a battery pressure relief valve sensor, a battery internal resistance detection device, a battery cluster current sensor, a combustible gas sensor, a smoke alarm, and the like.
Wherein, the battery temperature is T, and the value range is [ -30 ℃,200 ℃; the battery pressure relief valve signal is X1, the value is 0 or 1, 0 represents no action, and 1 represents action; the internal resistance of the battery is R, and the value range is [0m omega, 500m omega ]; the current of the battery cluster is I1, the value of the current is influenced by the type, the number, the series-parallel connection condition and other factors of the batteries in the battery cluster, and the value range is [ -Imax, Imax ]; the combustible gas signal is X2, the value is 0 or 1, 0 represents no action, and 1 represents action; the smoke alarm signal is S1 with a value of 0 or 1, 0 representing no action and 1 representing an action.
The data processing server 110 is used for storing, processing and transmitting the operation parameters to the application server 130 and the mobile operation detection terminal 140. The application server 130 is used for being installed in a control room, the intelligent operation and inspection control software 160 is installed on the application server 130 and the mobile operation and inspection terminal 140, and the application server 130 and the mobile operation and inspection terminal 140 process operation parameters according to the intelligent operation and inspection control software 160 to obtain an equipment fault state; the application server 130 and the mobile operation and inspection terminal 140 can send out a reminding signal and send a fire-fighting instruction to the fire-fighting equipment 150 according to the equipment fault state.
The functions of the intelligent operation and inspection control software 160 include equipment state monitoring, equipment early warning signal sending, equipment fault expert diagnosis, equipment operation and maintenance and repair assistance, fire alarm signal and cooling and fire extinguishing operation.
The intelligent operation and inspection control software 160 sets the fault status to four levels: level 1 is a fire state, level 2 is a fault state, level 3 is a high hidden danger state, and level 4 is a normal state; the data processing server 110 is also used to send fault status to the application server 130 and the mobile commissioning terminal 140.
Specifically, the fire state and the equipment failure state of the battery are shown in the following table:
as can be seen from the above table, when the device data acquisition system 120 detects that the battery temperatures T at multiple locations are greater than or equal to 180 ℃, or that multiple smoke alarms are activated, the data processing server 110 determines that the battery is in a fire state, and the data processing server 110 sends a fire alarm signal to the application server 130 and the mobile operation detection terminal 140, and controls the fire fighting device 150 to perform a cooling and fire extinguishing operation. When the equipment data acquisition system 120 detects that the smoke alarm is not in motion, the battery temperature T is greater than or equal to 120 ℃ and less than 180 ℃, the battery pressure release valve is in motion, the combustible gas sensor is in motion, the battery internal resistance is less than 10m omega, and the absolute value of the battery cluster current I is greater than or equal to Imax, the data processing server 110 judges that the battery is in a fault state, and the data processing server 110 sends an equipment fault signal to the application server 130 and the mobile operation and detection terminal 140 and controls equipment to stop.
The equipment fault evaluation model divides the equipment in the energy storage power station into a battery cabin, a battery cluster, a battery module, a single battery and an inverter. The single batteries are connected in series or in parallel to form a battery module, the battery module is connected in series to form a battery cluster, the battery cluster is connected in parallel to form a battery cabin, a direct current bus of the battery cabin is connected into an inverter, and the inverter has the function of realizing the conversion between alternating current and direct current and performs charging and discharging operations on the battery cabin. A multi-index evaluation system is established for different types of equipment in the equipment fault evaluation model. The connection relations of the batteries in different energy storage power stations are different, so that the ranges of different indexes in the equipment fault evaluation model are also different, and difference threshold values of different parameters are set to be a, a maximum threshold value is set to be b, a minimum threshold value is set to be c, a variance threshold value is set to be d, and a change speed threshold value is set to be e in order to conveniently describe the analysis process.
The fault evaluation indexes of the battery compartment comprise a voltage difference C1 between battery clusters, a voltage extreme value C2 of the battery clusters, a current difference C3 between the battery clusters, a current extreme value C3 of the battery clusters, a state of charge (SOC) difference C4 of the battery clusters, a state of charge extreme value C5 of the battery clusters, a state of health (SOH) difference C6 of the battery clusters, a health extreme value C7 of the battery clusters, the temperature in the battery compartment, combustible gas warning information in the battery compartment, smoke warning information in the battery compartment and the like, the indexes mainly evaluate the performance difference and the fault information between the battery clusters in the battery compartment, and analyze which state of the battery compartment in 4 fault states of equipment according to the relation between the indexes and a specified equipment threshold value, and are shown in the following table:
where C2b represents a battery cluster voltage maximum threshold and C2C represents a battery cluster voltage minimum threshold. C2< C2C indicates that the battery cluster voltage extremity is less than the voltage minimum threshold for identifying an equipment high risk condition including a battery under-voltage condition. C2> C2b indicates that the battery cluster voltage extremity is greater than the voltage maximum threshold for identifying an equipment high risk condition including a battery voltage too high condition. As can be seen from the above table, when the device data acquisition system 120 detects that any one of the voltage difference C1 between the battery clusters, the voltage extreme value C2 of the battery cluster, the current difference C3 between the battery clusters, the current extreme value C4 of the battery cluster, the state of charge difference C5 of the battery cluster, the state of charge extreme value C6 of the battery cluster, the state of health difference C7 of the battery cluster, and the state of health extreme value C8 of the battery cluster is out of the preset range, the data processing server 110 determines that the battery bay is in a high-risk state, and the data processing server 110 sends a fault warning signal to the application server 130 and the mobile operation detection terminal 140.
The fault evaluation indexes of the battery cluster comprise a battery module voltage difference value M1, a battery module voltage extreme value M2, a battery module equal voltage increment capacity value M3, a battery module current extreme value M4, the temperature in the battery module, combustible gas warning information in the battery cluster, smoke warning information in the battery cluster and the like, the indexes mainly evaluate the difference and the fault information between the battery modules in the battery cluster, and the battery cluster is analyzed in which of 4 fault states of equipment according to the relation between the indexes and a specified equipment threshold value, and the fault evaluation indexes are shown in the following table:
as can be seen from the above table, when the device data collecting system 120 detects that any one of the voltage difference value M1 of the battery module, the voltage extreme value M2 of the battery module, the incremental capacity value M3 of the battery module, and the current extreme value M4 of the battery module exceeds the preset range, the data processing server 110 determines that the battery cluster is in a high risk state, and the data processing server 110 sends a fault warning signal to the application server 130 and the mobile operation and detection terminal 140.
The fault evaluation index of battery module includes in the module cell temperature difference N1, in the module cell temperature extreme N2, in the module cell temperature variance N3, in the module cell voltage difference N4, in the module cell voltage extreme N5, in the module cell voltage variance N6, voltage increment capacity value N7 such as battery module, the gaseous warning information of combustible gas in the battery module, smog alarm information etc. in the battery module, these indexes mainly evaluate difference and fault information between the cell in the battery module, according to index and stipulate equipment threshold relation analysis battery module be in which state among 4 kinds of fault states of equipment, as shown in the following table:
as can be seen from the above table, when the device data acquisition system 120 detects that any one of the temperature difference N1 of the battery cells in the module, the temperature extreme N2 of the battery cells in the module, the temperature variance N3 of the battery cells in the module, the voltage difference N4 of the battery cells in the module, the voltage extreme N5 of the battery cells in the module, the voltage variance N6 of the battery modules, and the incremental capacity N7 of the battery modules exceeds the preset range, the data processing server 110 determines that the battery modules are in a high-risk state, and the data processing server 110 sends a fault warning signal to the application server 130 and the mobile inspection terminal 140.
The fault evaluation indexes of the single battery comprise a single battery temperature extreme value D1, a single battery voltage extreme value D2, a single battery temperature rising speed D3, a single battery temperature reducing speed D4, a single battery voltage increasing speed D5, a single battery voltage reducing speed D6, a single battery internal resistance change rate D7 and the like, the indexes mainly evaluate the fault information of the single battery, and according to the relation between the indexes and a specified device threshold value, the single battery is analyzed in any one of 4 fault states of the device, and the following table shows that:
as can be seen from the above table, when the device data acquisition system 120 detects that any one of the cell temperature extreme value D1, the cell voltage extreme value D2, the cell temperature increasing speed D3, the cell temperature decreasing speed D4, the cell voltage increasing speed D5, the cell voltage decreasing speed D6, and the cell internal resistance change rate D7 exceeds the preset range, the data processing server 110 determines that the cell is in a high-risk state, and the data processing server 110 sends a fault warning signal to the application server 130 and the mobile operation detection terminal 140.
The fault evaluation indexes of the inverter include an alternating-current side voltage extreme value Z1, a direct-current side voltage extreme value Z2, an alternating-current side frequency Z3, alternating-current fuse breaking alarm information Z4, direct-current fuse breaking alarm information Z5, equipment overheating alarm information Z6, equipment overload alarm information Z7, contactor fault alarm information Z8, inverter temperature Tz and the like. These indicators mainly evaluate the fault information of the inverter, and analyze which of the 4 fault states of the equipment the inverter is in according to the relationship between the indicators and the predetermined equipment threshold values, as shown in the following table:
as can be seen from the above table, when the device data acquisition system 120 detects that the temperature Tz of the inverter is greater than or equal to 180 ℃, the smoke alarm is active, and the combustible gas sensor is active, the data processing server 110 determines that the inverter is in a fire state, and the data processing server 110 sends a fire alarm signal to the application server 130 and the mobile operation detection terminal 140, and controls the fire fighting device 150 to perform cooling and fire extinguishing operations;
when the device data acquisition system 120 detects that the temperature Tz of the inverter is greater than or equal to 120 ℃ and less than 180 ℃, and the alternating current fuse breaking alarm information Z4 and the direct current fuse breaking alarm information Z5 are detected, the data processing server 110 judges that the inverter is in a fault state, and the data processing server 110 sends a device fault signal to the application server 130 and the mobile operation and detection terminal 140 and controls the device to stop;
when the device data acquisition system 120 detects that any one of the ac side voltage extreme value Z1, the dc side voltage extreme value Z2, and the ac side frequency Z3 exceeds the preset range, the data processing server 110 determines that the inverter is in a high risk state, and the data processing server 110 sends a fault early warning signal to the application server 130 and the mobile operation and inspection terminal 140.
And if all the characteristic fault parameters in the energy storage power station are in the normal range, the equipment is in a 4-level state, namely, the equipment is in a normal state, the performance of the equipment is normal, and the equipment does not need to perform operation and maintenance operation.
The equipment state monitoring function in the intelligent operation and inspection control software 160 can analyze the equipment fault indexes of the battery cabin, the battery cluster, the battery module, the single battery and the inverter in the energy storage power station in real time, and compare the equipment fault indexes with the corresponding threshold values of the indexes to judge the equipment fault state, so that the fault state of the equipment in the energy storage power station can be monitored in real time. The equipment state monitoring function provides the service of monitoring the fault state of the equipment in real time for operation and maintenance staff in the energy storage power station, and the operation and maintenance staff can find the equipment in a fire state, a fault state and a high hidden danger state in time.
The equipment fault early warning function in the intelligent operation and inspection control software 160 recognizes the high hidden danger state of the equipment in advance, including the battery voltage is too high, the battery voltage is too low, the battery internal resistance is too large, the battery temperature is too high, the battery temperature is too low, and the like, and sends out a fault early warning signal to remind operation and maintenance staff to perform equipment maintenance operation. The function can be used for operation and maintenance maintainers to find equipment in a high-safety/high-potential-hazard state in the energy storage power station, and the serial number and abnormal index parameters of equipment with high potential hazards can be accurately positioned.
The types of equipment fault early warning and preventive maintenance operation measures in the energy storage power station are shown in the following table:
the fault expert diagnosis function in the intelligent operation and inspection equipment 100 of the energy storage power station can quickly analyze the fault reason of the equipment by utilizing the equipment fault map library technology. The equipment fault map library comprises an energy storage battery system fault map and an energy storage inverter fault map. Through analyzing the operation parameters of the equipment and various indexes representing fault states, the fault reasons matched with the equipment fault graph library in the equipment fault graph library are searched, and the equipment fault reasons are rapidly displayed. This function can assist the fortune maintenance maintainer to analyze equipment trouble reason fast, reduces failure analysis's time, improves the efficiency of fortune maintenance process.
The operation and maintenance auxiliary function in the energy storage power station intelligent operation and inspection equipment 100 can accurately position the fault equipment, and the fault equipment is navigated by combining the mobile operation and inspection terminal 140. The mobile operation and inspection terminal 140 performs information interaction with the data processing server 110 through a wireless communication technology to obtain a calculation result in software, displays the calculation result on the terminal App, can check information such as operation parameters, fault early warning types and equipment fault reasons of equipment, and can assist operation and maintenance staff in carrying out equipment maintenance operation.
The operation and maintenance auxiliary function in the energy storage power station intelligent operation and maintenance equipment 100 can generate a work order and an operation order for operation and maintenance of the equipment according to a fire alarm signal, an equipment fault signal, a fault early warning signal and the like of the equipment. The operation and maintenance staff can make an equipment inspection plan and an equipment maintenance plan on the intelligent operation and maintenance control software 160 of the application server 130, wherein the equipment inspection plan and the equipment maintenance plan comprise date, personnel, inspection or maintenance contents, process data entry and result data entry. The operation and maintenance maintainer operates according to the work order and the operation order requirement, can ensure the operation standardization of the inspection and maintenance process, and realizes the electronic input of key data in the operation and maintenance process. In addition, the operation and maintenance maintainers can inquire historical operation and maintenance records and maintainer records, and work management and examination are facilitated.
Fire alarm signal and the operation of putting out a fire of cooling in equipment 100 are examined to energy storage power station intelligence fortune, can discover equipment conflagration and send out conflagration warning sound through removing fortune detection terminal 140, and coordinated control fire equipment 150 carries out accurate fire extinguishing operation simultaneously. Wherein the fire fighting equipment 150 comprises a heptafluoropropane fire extinguishing apparatus and a water mist fire extinguishing apparatus. This function can be arranged in the energy storage power station operation maintenance maintainer to carry out equipment fire extinguishing operation.
When a 1-level fire risk occurs to equipment in a battery compartment in an energy storage power station, the fire fighting equipment 150 automatically executes 1-level fire fighting response measures, the operation contents comprise the shutdown of the battery compartment, the shutdown of an air conditioner or a fan device, the startup of a heptafluoropropane gas fire extinguishing device and a water mist fire extinguishing device, wherein the water mist fire extinguishing device is operated to start all nozzles to rapidly cool and extinguish fire. After the fire fighting equipment 150 starts the fire extinguishing operation, the data of the temperature of the battery, the combustible gas, the smoke and the like in the battery compartment are continuously monitored in real time, when the temperature of all the equipment in the battery compartment is lower than 50 ℃ and the state duration is longer than 2 hours, the heptafluoropropane gas fire extinguishing device and the water mist fire extinguishing device stop the fire extinguishing operation, and then the temperature of the equipment is continuously monitored for 1 hour. Starting the water mist fire extinguishing device to cool down within 1 hour after the fire extinguishing device stops fire extinguishing operation if the temperature of equipment in the battery compartment rises and is higher than 50 ℃; when the temperature of the equipment in the battery compartment does not rise or rises but is lower than 50 ℃, the fire fighting equipment 150 finishes the fire extinguishing operation.
When equipment in a battery compartment of an energy storage power station has a 2-level fire risk, the fire fighting equipment 150 automatically executes 2-level fire fighting response measures, the operation contents comprise the shutdown of the battery compartment, the shutdown of an air conditioner or a fan device, the startup of a heptafluoropropane gas fire extinguishing device and a water mist fire extinguishing device, wherein the water mist fire extinguishing measures are used for starting a spray head near the equipment in an alarm state to accurately cool and extinguish fire. After the fire fighting equipment 150 starts the fire extinguishing operation, the data of the temperature of the battery, the combustible gas, the smoke and the like in the battery compartment are continuously monitored in real time, when the temperature of the equipment in the alarm state in the battery compartment is lower than 50 ℃ and the state duration is longer than 2 hours, the heptafluoropropane gas fire extinguishing device and the water mist fire extinguishing device stop the fire extinguishing operation, and then the temperature of the equipment is continuously monitored for 1 hour. Within 1 hour after the fire extinguishing device stops extinguishing the fire, if the temperature of the equipment in the battery compartment rises and is higher than 50 ℃, the corresponding water mist spray nozzles are started to cool; when the temperature of the equipment in the battery compartment does not rise or rises but is lower than 50 ℃, the fire fighting equipment 150 finishes the fire extinguishing operation.
The energy storage power station intelligent operation and inspection equipment 100 provided by the embodiment of the invention has the beneficial effects that:
1. the real-time detection of the equipment state is realized: the fault state of the equipment can be analyzed in real time through various index parameters, and the operation and maintenance staff can conveniently and remotely monitor the equipment state;
2. and realizing equipment fault early warning: the device high hidden danger state can be found, operation and maintenance staff are informed to maintain the device in advance, preventive maintenance based on the device state is realized, maintenance is carried out after the device is in failure, accidental shutdown of the device is reduced, and the utilization rate of the device is improved;
3. and (3) fault expert diagnosis is realized: the method provides technical auxiliary service for operation and maintenance maintainers to diagnose the fault reason, and shortens the fault diagnosis time;
4. and realizing the standard management of the operation and maintenance process: the method comprises the following steps of providing work order and operation order management, assisting operation and maintenance maintainers to operate according to regulations, and assisting the operation and maintenance maintainers to perform services such as fault equipment positioning, navigation, equipment historical data query and the like by the mobile inspection terminal;
5. realize the accurate control of equipment fire control: improve fire control precision and degree of automation, avoid the fire control in-process to the influence of normal equipment.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. The intelligent operation and inspection equipment for the energy storage power station is characterized by comprising a data processing server (110), an equipment data acquisition system (120) connected with the data processing server (110), an application server (130), a mobile operation and inspection terminal (140) and fire-fighting equipment (150);
the equipment data acquisition system (120) is used for acquiring the operating parameters of the energy storage power station and transmitting the operating parameters to the data processing server (110);
the data processing server (110) is used for storing and processing the operation parameters and transmitting the operation parameters to the application server (130) and the mobile operation detection terminal (140);
the application server (130) is installed in a control room, intelligent operation and detection control software (160) is installed on the application server (130) and the mobile operation and detection terminal (140), and the application server (130) and the mobile operation and detection terminal (140) process the operation parameters according to the intelligent operation and detection control software (160) to obtain an equipment fault state; the application server (130) and the mobile operation and detection terminal (140) are further used for sending out a reminding signal and sending a fire fighting instruction to the fire fighting equipment (150) according to the equipment fault state.
2. The energy storage power station intelligent operation inspection equipment of claim 1, characterized in that the intelligent operation inspection control software (160) sets the fault state to four levels: fire state, fault state, high hidden danger state and normal state;
the data processing server (110) is further configured to send the fault status to the application server (130) and the mobile commissioning terminal (140).
3. The energy storage power station intelligent operation and inspection equipment of claim 2, wherein the equipment data acquisition system (120) comprises a battery temperature sensor, a battery pressure relief valve sensor, a battery internal resistance detection device, a battery cluster current sensor, a combustible gas sensor and a smoke alarm.
4. The energy storage power station intelligent operation detection device of claim 3, wherein when the device data acquisition system (120) detects that the battery temperatures T at a plurality of positions are greater than or equal to 180 ℃ or a plurality of smoke alarms are actuated, the data processing server (110) determines that the battery is in the fire state, and the data processing server (110) sends a fire alarm signal to the application server (130) and the mobile operation detection terminal (140) and controls the fire fighting device (150) to perform cooling and fire extinguishing operations.
5. The energy storage power station intelligent operation detection device of claim 3, wherein when the device data acquisition system (120) detects that the smoke alarm is not actuated, the battery temperature T is greater than or equal to 120 ℃ and less than 180 ℃, the battery pressure relief valve is actuated, the combustible gas sensor is actuated, the battery internal resistance is less than 10m Ω, and the absolute value of the battery cluster current I is greater than or equal to Imax, the data processing server (110) determines that the battery is in the fault state, and the data processing server (110) sends a device fault signal to the application server (130) and the mobile operation detection terminal (140) and controls the device to stop.
6. The energy storage power station intelligent operation detection equipment as claimed in claim 3, wherein when the equipment data acquisition system (120) detects that any one of a battery cluster voltage difference C1, a battery cluster voltage extreme value C2, a battery cluster current difference C3, a battery cluster current extreme value C4, a battery cluster state of charge difference C5, a battery cluster state of charge extreme value C6, a battery cluster health degree difference C7 and a battery cluster health degree extreme value C8 exceeds a preset range, the data processing server (110) determines that the battery compartment is in the high-risk state, and the data processing server (110) sends a fault early warning signal to the application server (130) and the mobile operation detection terminal (140).
7. The energy storage power station intelligent operation and inspection equipment of claim 3, wherein when the equipment data acquisition system (120) detects that any one of a battery module voltage difference value M1, a battery module voltage extreme value M2, a battery module voltage increment capacity value M3 and a battery module current extreme value M4 exceeds a preset range, the data processing server (110) determines that the battery cluster is in the high-risk condition, and the data processing server (110) sends a fault warning signal to the application server (130) and the mobile operation and inspection terminal (140).
8. The energy storage power station intelligent operation and inspection equipment of claim 3, wherein when the equipment data acquisition system (120) detects that any one of a temperature difference value N1 of a single battery in a module, a temperature extreme value N2 of the single battery in the module, a temperature variance N3 of the single battery in the module, a voltage difference value N4 of the single battery in the module, a voltage extreme value N5 of the single battery in the module, a voltage variance N6 of the single battery in the module, a voltage increment capacity value N7 of the battery module and the like exceeds a preset range, the data processing server (110) determines that the battery module is in the high-risk state, and the data processing server (110) sends a fault early warning signal to the application server (130) and the mobile operation and inspection terminal (140).
9. The energy storage power station intelligent operation detection device according to claim 3, wherein when the device data acquisition system (120) detects that any one of a cell temperature extreme value D1, a cell voltage extreme value D2, a cell temperature rising speed D3, a cell temperature reducing speed D4, a cell voltage increasing speed D5, a cell voltage reducing speed D6 and a cell internal resistance change rate D7 exceeds a preset range, the data processing server (110) determines that a cell is in the high-risk state, and the data processing server (110) sends a fault early warning signal to the application server (130) and the mobile operation detection terminal (140).
10. The energy storage power station intelligent operation detection device of claim 3, wherein when the device data acquisition system (120) detects that the inverter temperature Tz is greater than or equal to 180 ℃, the smoke alarm is activated, and the combustible gas sensor is activated, the data processing server (110) determines that the inverter is in the fire state, the data processing server (110) sends a fire alarm signal to the application server (130) and the mobile operation detection terminal (140), and controls the fire fighting device (150) to perform cooling and fire extinguishing operations;
when the equipment data acquisition system (120) detects AC fuse breaking alarm information Z4 and DC fuse breaking alarm information Z5, the data processing server (110) judges that the inverter is in the fault state, and the data processing server (110) sends an equipment fault signal to the application server (130) and the mobile operation and detection terminal (140) and controls equipment to stop;
when the equipment data acquisition system (120) detects that any one of the voltage extreme value Z1 on the alternating current side, the voltage extreme value Z2 on the direct current side and the frequency Z3 on the alternating current side exceeds a preset range, the data processing server (110) judges that the inverter is in the high potential hazard state, and the data processing server (110) sends a fault early warning signal to the application server (130) and the mobile operation and detection terminal (140).
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| CN202010551786.1A CN111585354A (en) | 2020-06-17 | 2020-06-17 | Intelligent operation and detection equipment for energy storage power station |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113410856A (en) * | 2020-11-04 | 2021-09-17 | 清华四川能源互联网研究院 | Combined system and method for delaying performance attenuation of energy storage electric power auxiliary service system |
| CN114497770A (en) * | 2022-01-26 | 2022-05-13 | 上海玫克生智能科技有限公司 | Method, system and terminal for analyzing state of battery box in battery cluster |
| CN116455085A (en) * | 2023-06-16 | 2023-07-18 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
| WO2023202306A1 (en) * | 2022-01-29 | 2023-10-26 | 中国华能集团清洁能源技术研究院有限公司 | Battery storage power station operation and maintenance system, method, device, and storage medium |
-
2020
- 2020-06-17 CN CN202010551786.1A patent/CN111585354A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113410856A (en) * | 2020-11-04 | 2021-09-17 | 清华四川能源互联网研究院 | Combined system and method for delaying performance attenuation of energy storage electric power auxiliary service system |
| CN114497770A (en) * | 2022-01-26 | 2022-05-13 | 上海玫克生智能科技有限公司 | Method, system and terminal for analyzing state of battery box in battery cluster |
| WO2023202306A1 (en) * | 2022-01-29 | 2023-10-26 | 中国华能集团清洁能源技术研究院有限公司 | Battery storage power station operation and maintenance system, method, device, and storage medium |
| CN116455085A (en) * | 2023-06-16 | 2023-07-18 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
| CN116455085B (en) * | 2023-06-16 | 2023-09-26 | 尚宁心材(天津)科技有限公司 | Intelligent monitoring system of battery energy storage power station |
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