CN114142808A - Photovoltaic system abnormal operation equipment identification method, device, equipment and storage medium - Google Patents

Photovoltaic system abnormal operation equipment identification method, device, equipment and storage medium Download PDF

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Publication number
CN114142808A
CN114142808A CN202111446731.5A CN202111446731A CN114142808A CN 114142808 A CN114142808 A CN 114142808A CN 202111446731 A CN202111446731 A CN 202111446731A CN 114142808 A CN114142808 A CN 114142808A
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equipment
node
conversion efficiency
loss
electric energy
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刘丽娇
寇伟莉
刘琪
赵曼
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Xinao Shuneng Technology Co Ltd
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Xinao Shuneng Technology Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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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]
    • 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
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30—Electrical components
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
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    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The disclosure relates to the technical field of photovoltaic power generation, and provides a method, a device, equipment and a storage medium for identifying abnormal operation equipment of a photovoltaic system. The method comprises the following steps: acquiring energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculating the energy conversion efficiency and/or the electric energy consumption of each equipment node according to the energy transfer data; according to the energy conversion efficiency and/or the electric energy loss of each equipment node, the abnormal equipment of each equipment node is identified, so that the electric power output (output power) and the circulation state among the equipment of the whole system can be analyzed systematically, the real-time state monitoring on the energy conversion and the energy output of the whole photovoltaic system in the running process can be realized, meanwhile, the abnormal equipment of the photovoltaic system in the running process can be identified timely and accurately, and the energy waste can be reduced.

Description

Photovoltaic system abnormal operation equipment identification method, device, equipment and storage medium
Technical Field
The disclosure relates to the technical field of photovoltaic power generation, and in particular relates to a method, a device, equipment and a storage medium for identifying abnormal operation equipment of a photovoltaic system.
Background
The development and utilization of the solar photovoltaic technology are one of the important measures for realizing resource-saving social energy conservation and emission reduction, sustainable development, living environment improvement and the like in China.
The distributed photovoltaic power station refers to a power generation system which utilizes distributed resources, is small in installation scale and is arranged near users. It is a novel and comprehensive utilization mode of divergence and energy with wide prospect.
Generally, the distributed photovoltaic system has a small scale, a large number of system devices are provided, and after the photovoltaic system is installed by an enterprise, the enterprise can install the system monitoring devices attached and delivered by a manufacturer to monitor the equipment operation condition of the photovoltaic system, but the system monitoring devices attached and delivered by the manufacturer can only reach a data monitoring level, and the monitoring data of all links such as a photovoltaic string inverter, a combiner box and a grid-connected cabinet are split, so that the power output (output power) and the circulation state between all devices of the whole system can not be systematically analyzed, the real-time state monitoring on the energy conversion and the energy output of the whole photovoltaic system in operation can not be realized, meanwhile, abnormal devices of the photovoltaic system in operation can not be timely and accurately identified, and the energy waste is caused.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method, an apparatus, a device, and a storage medium for identifying an abnormal operation device of a photovoltaic system, so as to solve the problem in the prior art that a real-time state monitoring cannot be performed on energy conversion and energy output of the whole photovoltaic system in operation, and meanwhile, an abnormal device of the photovoltaic system in operation cannot be identified timely and accurately, thereby causing energy waste.
In a first aspect of the embodiments of the present disclosure, a method for identifying an abnormal operation device of a photovoltaic system is provided, including:
acquiring energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculating the energy conversion efficiency and/or the electric energy consumption of each equipment node according to the energy transfer data;
and identifying abnormal equipment of each equipment node according to the energy conversion efficiency and/or the electric energy loss of each equipment node.
In a second aspect of the embodiments of the present disclosure, there is provided a device for identifying an abnormal operation device of a photovoltaic system, including:
the calculation module is configured to acquire energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculate the energy conversion efficiency and/or the electric energy loss of each equipment node according to the energy transfer data;
and the identification module is configured to identify abnormal equipment of each equipment node according to the energy conversion efficiency and/or the electric energy loss amount of each equipment node.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the advantages that at least: the method comprises the steps that energy transfer data of equipment nodes from a power generation node to a grid-connected node on a photovoltaic system link are obtained, and the energy conversion efficiency and/or the electric energy consumption of the equipment nodes are calculated according to the energy transfer data; according to the energy conversion efficiency and/or the electric energy loss of each equipment node, the abnormal equipment of each equipment node is identified, so that the electric power output (output power) and the circulation state among the equipment of the whole system can be analyzed systematically, the real-time state monitoring on the energy conversion and the energy output of the whole photovoltaic system in the running process can be realized, meanwhile, the abnormal equipment of the photovoltaic system in the running process can be identified timely and accurately, and the energy waste can be reduced.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a method for identifying an abnormal operation device of a photovoltaic system according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a physical link structure of a photovoltaic system in the identification method for the photovoltaic system abnormal operation device provided by the embodiment of the disclosure;
fig. 4 is a schematic structural diagram of an apparatus for identifying an abnormal operation device of a photovoltaic system according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A method and an apparatus for identifying an abnormal operation device of a photovoltaic system according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include photovoltaic system 101, server 102, and network 103.
For example, the photovoltaic system 101 may include an irradiator 1011, a photovoltaic string device 1012, an inverter device 1013, a combiner box device 1014, a box transformer device 1015, and a grid-connected cabinet 1016, which are connected in sequence.
The server 102 may be a server providing various services, for example, a backend server receiving a request sent by a terminal device establishing a communication connection with the server, and the backend server may receive and analyze the request sent by the terminal device and generate a processing result. The server 102 may be a server, may also be a server cluster composed of several servers, or may also be a cloud computing service center, which is not limited in this disclosure.
The server 102 may be hardware or software. When the server 102 is hardware, it may be various electronic devices that provide various services to the photovoltaic system 101. When the server 102 is software, it may be a plurality of software or software modules providing various services for the photovoltaic system 101, or may be a single software or software module providing various services for the photovoltaic system 101, which is not limited by the embodiment of the present disclosure.
The network 103 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.
A user may establish a communication connection with the server 102 via the network 103 through the photovoltaic system 101 to receive or transmit information or the like. Specifically, each device in the photovoltaic system 101 may establish a communication connection with the server 102 through the network 102, and upload the device data (i.e., energy flow data of each device node) acquired by the device to the server 102, or set up a data transfer station in the photovoltaic system 101, and collectively upload the device data acquired by each device node to the server 102 after being concentrated. After receiving energy flow conversion data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, the server 102 calculates the energy conversion efficiency and/or the electric energy loss of each equipment node according to the energy flow conversion data; according to the energy conversion efficiency and/or the electric energy loss of each equipment node, the abnormal equipment of each equipment node is identified, so that the electric power output (output power) and the circulation state among the equipment of the whole system can be analyzed systematically, the real-time state monitoring on the energy conversion and the energy output of the whole photovoltaic system in the running process can be realized, meanwhile, the abnormal equipment of the photovoltaic system in the running process can be identified timely and accurately, and the energy waste can be reduced.
It should be noted that the specific types, numbers and combinations of the photovoltaic system 101, the server 102 and the network 103 may be adjusted according to the actual requirements of the application scenario, and the embodiment of the present disclosure does not limit this.
Fig. 2 is a schematic flowchart of a method for identifying an abnormal operation device of a photovoltaic system according to an embodiment of the present disclosure. The photovoltaic system abnormal operation device identification method of fig. 2 may be performed by the server 102 of fig. 1.
As shown in fig. 2, the method for identifying the photovoltaic system abnormal operation device includes:
step S201, acquiring energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculating energy conversion efficiency and/or electric energy loss of each equipment node according to the energy transfer data.
As an example, first, the hierarchical relationship of the devices of each device node may be combed according to the actual physical connection of the photovoltaic power generation system, so as to obtain a complete system link from the power generation node to the grid-connected node. Referring to fig. 3, generally, the whole system physical link of the distributed photovoltaic system from the power generation end to the grid-connected end includes: a power generation node 301, (a bus bar node), an inverter node 302, a combiner box node 303, a box transformer node 304, and a grid-tied node 305 (a grid-tied cabinet). Wherein each device node may be connected to one or more subordinate devices. For example, the power generation node 301 may be formed by a plurality of clusters of photovoltaic string devices installed in a scattered manner; each photovoltaic string device cluster comprises a plurality of photovoltaic string devices, and each photovoltaic string device can comprise a plurality of modules which are connected in series with each other, for example, a photovoltaic string device formed by 22 modules which are connected in series with each other. The inverter node 302 includes a plurality of inverter devices, each of which is configured by connecting a plurality of pv string devices. The combiner box node 303 includes a plurality of combiner box devices, each of which is connected to a corresponding one of the inverter devices. The box-type substation node 304 includes a plurality of box-type substation devices, and each box-type substation device is correspondingly connected to one combiner box device. And each box transformer substation equipment can be correspondingly connected with one grid-connected cabinet.
An inverter device is a device that converts direct-current electric energy into alternating-current electric energy.
The box type transformer substation is a compact complete set of distribution equipment which combines high-voltage switch equipment distribution transformer equipment, low-voltage switch equipment, electric energy metering equipment, reactive power compensation equipment and the like in one or more boxes according to a certain wiring scheme.
The energy flow data mainly refers to the power and electric quantity of the input end and the output end of each equipment node. For example, the energy flow data of the power generation node mainly includes the input electric quantity at the input end of the photovoltaic string device, the output power at the output end of the photovoltaic string device, and the output electric quantity.
Step S202, according to the energy conversion efficiency and/or the electric energy loss of each equipment node, identifying abnormal equipment of each equipment node.
Herein, the energy conversion efficiency generally refers to the ratio of the output power to the input power. The power loss, i.e. the power loss, is usually measured by the difference between the input power and the output power.
According to the technical scheme provided by the embodiment of the disclosure, energy conversion efficiency and/or electric energy consumption of each equipment node are calculated according to energy transfer data by acquiring the energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link; according to the energy conversion efficiency and/or the electric energy loss of each equipment node, the abnormal equipment of each equipment node is identified, so that the electric power output (output power) and the circulation state among the equipment of the whole system can be analyzed systematically, the real-time state monitoring on the energy conversion and the energy output of the whole photovoltaic system in the running process can be realized, meanwhile, the abnormal equipment of the photovoltaic system in the running process can be identified timely and accurately, and the energy waste can be reduced.
In some embodiments, the photovoltaic system link includes a power generation node, an inverter node, a combiner box node, and a grid connection node, which are connected in sequence.
The step S201 specifically includes:
acquiring instantaneous solar irradiance of photovoltaic group string equipment reaching a power generation node of a photovoltaic system, output power of each photovoltaic group string equipment, input power and output power of each inverter equipment of an inverter node, each junction box equipment of a junction box node and each box transformer equipment of a grid-connected node;
calculating first energy conversion efficiency and/or first electric energy loss of each photovoltaic group string device of the power generation node according to the instantaneous solar irradiance and the output power of each photovoltaic group string device;
calculating second energy conversion efficiency and/or second electric energy loss of each inverter device when electric energy flows from the power generation node to the inverter node according to the input power and the output power of each inverter device;
calculating third energy conversion efficiency and/or third electric energy loss of each combiner box device when electric energy flows from the inverter node to the combiner box node according to the input power and the output power of each combiner box device;
and calculating fourth energy conversion efficiency and/or fourth electric energy loss of each box transformer substation device when electric energy flows from the junction box node to the grid-connected node according to the input power and the output power of each box transformer substation device.
As an example, an irradiator may be employed to collect instantaneous solar irradiance reaching photovoltaic string devices of a power generation node of a photovoltaic system and upload to server 102. In practical applications, an input power meter and an output power meter may be respectively disposed at an input end and an output end of each device node, and are used to respectively measure input power and output power of each device node in real time, and report the measured input power and output power to the server 102.
For example, the first energy conversion efficiency of each photovoltaic string device can be calculated according to the following formula (1).
Figure BDA0003385014700000071
Wherein the unit of the output power is kW; the unit of instantaneous solar irradiance is W/m2(ii) a The unit of the area of the photovoltaic module is m2。
Regarding the calculation method of the first power loss amount, the second power conversion efficiency, the second power loss amount, the third power conversion efficiency, the third power loss amount, the fourth power conversion efficiency, and the fourth power loss amount, the following is specific:
the first electric energy loss amount is equal to the input electric quantity of the photovoltaic group string equipment-the output electric quantity of the photovoltaic group string equipment.
The input electric quantity of the photovoltaic string equipment is equal to the input power of the photovoltaic string equipment; the output electric quantity of the photovoltaic string equipment is equal to the output power of the photovoltaic string equipment.
A second energy conversion efficiency (output power of inverter device/input power of inverter device) 100%;
the second power loss amount is an input power amount of the inverter device to an output power amount of the inverter device.
The input electric quantity of the inverter equipment is equal to the input power of the inverter equipment; the output capacity of the inverter device is equal to the output power of the inverter device.
A third energy conversion efficiency (output power of combiner box device/input power of combiner box device) 100%;
the third power loss amount is equal to the input power of the combiner box device — the output power of the combiner box device.
The input electric quantity of the combiner box equipment is equal to the input power of the combiner box equipment; the output electric quantity of the combiner box equipment is equal to the output power of the combiner box equipment.
The fourth energy conversion efficiency (output power of the box transformer equipment/input power of the box transformer equipment) is 100%;
the fourth electric energy loss amount is equal to the input electric quantity of the box-type substation equipment-the output electric quantity of the box-type substation equipment.
The input electric quantity of the box transformer substation equipment is equal to the input power of the box transformer substation equipment; the output electric quantity of the box-type substation equipment is equal to the output power of the box-type substation equipment.
In some embodiments, the identifying, according to the energy conversion efficiency and/or the electric energy loss amount of each device node, an abnormal device of each device node includes:
identifying the photovoltaic string devices which run abnormally of the power generation nodes according to the first energy conversion efficiency and/or the first electric energy loss of each photovoltaic string device;
identifying inverter equipment with abnormal operation of the inverter nodes according to the second energy conversion efficiency and/or the second electric energy loss of each inverter equipment;
identifying the junction box equipment with abnormal operation of the junction box nodes according to the third energy conversion efficiency and/or the third electric energy loss of each junction box equipment;
and identifying the box transformer substation equipment which runs abnormally of the grid-connected node according to the fourth energy conversion efficiency and/or the fourth electric energy loss of each box transformer substation equipment.
As an example, an abnormally operating photovoltaic string device of a power take-off node may be identified by:
calculating a first conversion difference value between the first energy conversion efficiency of each photovoltaic string device and a preset first conversion threshold value, and a first loss difference value between the first energy loss of each photovoltaic string device and a preset first loss threshold value;
and determining the photovoltaic string equipment of the power generation node, which abnormally operates, according to the first conversion difference and/or the first loss difference.
The preset first conversion threshold is generally set according to factory standards of the photovoltaic string device. For example, if the standard conversion efficiency of the photovoltaic string device at the factory is 94%, the first conversion threshold may be set to 94%.
The preset first loss threshold may be set according to actual conditions. For example, 10kwh, 20kwh, or the like can be set.
As an example, the factory conversion efficiency standard of the inverter device is substantially 94% or more, the factory conversion efficiency standard of the combiner box device is substantially 95% or more, and the factory conversion efficiency standard of the box transformer device is substantially 95% or more.
As an example, assume that the preset first transition threshold is 94%, and the preset first loss threshold is 10 kwh. And a certain photovoltaic system link is arranged and comprises a power generation node, an inverter node, a junction box node, a box transformer node and a grid-connected node; the power generation node is composed of 3 photovoltaic group string devices, namely photovoltaic group string devices 01, 02 and 03, wherein each photovoltaic group string device is composed of 22 modules in series connection; each photovoltaic group string device is correspondingly connected with an inverter device, namely inverter devices 01, 02 and 03; each inverter device is correspondingly connected with a combiner box device which is a combiner box device 01, 02 and 03 respectively; each confluence box device is correspondingly connected with a box transformer substation device which is a box transformer substation device 01, a box transformer substation device 02 and a box transformer substation device 03; and the three box transformer substation devices are connected to a grid-connected cabinet. The instantaneous solar irradiance reaching the power generation node and measured by the output power measuring instruments of the 3 photovoltaic string devices is I, and the output powers measured by the output power measuring instruments of the photovoltaic string devices 01, 02 and 03 are P1, P2 and P3 respectively.
It is assumed that the first energy conversion efficiencies of the photovoltaic string devices 01, 02, and 03 are calculated as η 1, η 2, and η 3, respectively, according to the above formula (1). Then, the differences between η 1, η 2, and η 3 and 94% are calculated, respectively, to obtain a first conversion difference 01, a first conversion difference 02, and a first conversion difference 03. And respectively calculating the first energy loss amounts w1, w2 and w3 of the photovoltaic string devices 01, 02 and 03 according to the calculation formula of the first energy loss amounts. And respectively calculating a first loss difference value 01, a second loss difference value 02 and a third loss difference value 03 between w1, w2 and w3 and 10 kwh.
And determining the photovoltaic string equipment of the power generation node, which abnormally operates, according to the first conversion difference and/or the first loss difference. Specifically, the abnormally operated pv string device of the power generation node may be determined by determining whether the first conversion difference value 01, the first conversion difference value 02, and the first conversion difference value 03 are within a preset conversion difference value range (for example, the conversion difference value is greater than or equal to 0). For example, if the first conversion difference 01 < 0, and both the first conversion difference 02 and the first conversion difference 03 > 0, the pv string device 01 may be determined to be an abnormally operating device (i.e., the energy conversion efficiency thereof is lower than the preset first conversion threshold value, i.e., lower than the standard value of the factory). The abnormally operated pv string device of the power generation node may also be determined by determining whether the first loss difference value 01, the second loss difference value 02, and the third loss difference value 03 are within a preset loss difference value range (e.g., the loss difference value is less than or equal to 0). For example, if the first loss difference 01 < 0, the second loss difference 02, and the third loss difference 03 are both > 0, then the pv string devices 02 and 03 may be determined to be abnormally operating devices (i.e., energy losses greater than a predetermined first loss threshold). The abnormally operated photovoltaic string device of the power generation node may be determined by determining whether the first conversion difference value 01, the first conversion difference value 02, and the first conversion difference value 03 are within a preset conversion difference value range, and whether the first loss difference value 01, the second loss difference value 02, and the third loss difference value 03 are within a preset loss difference value range. For example, if the first conversion difference 01 is less than 0, the first conversion difference 02 and the first conversion difference 03 are both greater than 0, the first loss difference 01 is greater than 0, the second loss difference 02 is less than 0, and the third loss difference 03 is greater than 0, it may be determined that the pv string device 01 is an abnormally operating device, and the pv string devices 02 and 03 are both normally operating devices.
Similarly, the identification of the inverter device related to the abnormal operation of the inverter node, the identification of the combiner box device related to the abnormal operation of the combiner box node, and the identification of the box transformer device related to the abnormal operation of the grid-connected node can be judged and identified by referring to the identification method of the photovoltaic group string device related to the abnormal operation of the power generation node, and the details are not repeated herein.
In some embodiments, the above step of identifying an inverter device having an abnormal operation of the inverter node according to the second energy conversion efficiency and/or the second power loss amount includes:
when the photovoltaic string devices which normally run exist in the power generation node according to the first energy conversion efficiency and/or the first electric energy loss of each photovoltaic string device, calculating a second conversion difference value between the second energy conversion efficiency of each inverter device and a preset second conversion threshold value, and a second loss difference value between the second electric energy loss of each inverter device and a preset second loss threshold value;
and determining the inverter equipment with abnormal operation of the inverter node according to the second conversion difference value and/or the second loss difference value.
As an example, when it is determined that there are normally operating pv string devices at the power generation node according to the above-described identification step, that is, not all of the pv string devices are abnormally operating devices, then, referring to the above-described identification method of the abnormally operating devices with respect to the power generation node, the abnormally operating inverter devices of the inverter node may be further identified by calculating a second conversion difference value of the second energy conversion efficiency of each inverter device from a preset second conversion threshold value, and a second loss difference value of the second electric energy loss amount of each inverter device from a preset second loss threshold value.
In some embodiments, the above-mentioned identifying the combiner box device with abnormal operation of the combiner box node according to the third energy conversion efficiency and/or the third electric energy loss of each combiner box device includes:
when the inverter equipment which normally operates is determined to exist in the inverter node according to the second conversion difference and/or the second loss difference, the junction box equipment which abnormally operates in the junction box node is identified according to the third energy conversion efficiency and/or the third electric energy loss;
according to the fourth energy conversion efficiency and/or the fourth electric energy loss of each box transformer substation device, identifying the box transformer substation device which runs abnormally of the grid-connected node, and the method comprises the following steps:
when it is determined that the junction box node has the junction box device which normally operates according to the third energy conversion efficiency and/or the third electric energy loss amount, the abnormally-operating box transformer substation device of the grid-connected node is identified according to the fourth energy conversion efficiency and/or the fourth electric energy loss amount of each box transformer substation device.
As an example, when it is determined that there are inverter devices of the inverter nodes that operate normally, that is, not all the inverter devices are abnormally operated devices, according to the above-described identification step, the above-described identification method of the abnormally operated devices with respect to the power generation nodes is referred to further identify and determine the abnormally operated combiner box device of the combiner box node.
By analogy, according to the connection sequence of the photovoltaic system link, the abnormal operation equipment on each equipment node is identified step by step, so that missing detection and error detection can be avoided, and the identification accuracy and reliability of the abnormal operation equipment are improved.
In some embodiments, the step, after identifying abnormal devices of each device node according to the energy conversion efficiency and/or the electric energy loss amount of each device node, includes:
acquiring equipment information and abnormal operation reasons of abnormal equipment of each equipment node, wherein the equipment information comprises an equipment name and an equipment installation position;
determining the type of abnormal alarm according to the abnormal operation reason;
and formulating corresponding alarm processing measures according to the equipment information and the abnormal alarm type.
As an example, after the device of each device node on the link of the photovoltaic system is screened layer by layer according to the above steps, and the abnormally operated device is captured, the device information (including the device name, the device installation location, and the like) and the reason of the abnormal operation (for example, the conversion efficiency is low, the energy loss is large, and the like) of the abnormal device of each device node may be summarized, and the time when the abnormal device of each device node is abnormal may also be summarized.
And further determining which type of abnormal alarm the abnormal equipment belongs to according to the acquired abnormal operation reason of the abnormal equipment of each equipment node. In practical applications, a mapping relationship table between the abnormal operation reason and the abnormal alarm type may be preset, for example, a mapping relationship table shown in table 1 below may be set.
TABLE 1 relationship table of abnormal operation reasons and abnormal alarm types
Cause of abnormal operation Type of exception alarm
Low conversion efficiency and severe energy loss Severe warning
Low conversion efficiency but not severe energy loss General alarms
Low conversion efficiency and low energy consumption Light alarm
Wherein, the serious alarm generally refers to an abnormal operation condition which may cause potential safety hazard or great loss of revenue of the photovoltaic system; generally, the warning generally refers to an abnormal operation condition which does not cause potential safety hazard to the photovoltaic system, but reduces the income of the power station to a certain extent; the slight warning generally means that no potential safety hazard is caused to the photovoltaic system, and the influence on the yield of the power station is relatively small.
It should be noted that the specific types and mapping relationships between the abnormal operation reason and the abnormal alarm type may be adjusted according to the actual requirements of the application scenario, which is not limited in the embodiment of the present disclosure.
As an example, for different types of abnormal alarm types, corresponding alarm processing measures can be formulated to eliminate or reduce the negative effects caused by the abnormal. For example, for a serious alarm type alarm, an abnormal processing work order can be generated according to the summarized equipment information of the abnormal equipment of each equipment node and the abnormal operation reason and sent to an equipment terminal of an operation and maintenance worker, so that the operation and maintenance worker can timely learn the abnormal operation equipment on each equipment node of the photovoltaic system link and maintain or replace the abnormal operation equipment, and the normal operation and the benefit of the photovoltaic system are guaranteed.
Exemplary exception handling work orders may include: the name, the installation position, the alarm level (namely the type of the abnormal alarm), the abnormal occurrence time, the operation and maintenance responsible person, the fault description (the reason of the abnormal operation), the on-site photographing of the abnormal operation equipment, whether the abnormal operation equipment is a recoverable fault and the like.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following is a flow of a specific application example of the photovoltaic system abnormal operation device identification method provided by the embodiment of the present disclosure, and details are as follows:
a photovoltaic system abnormal operation equipment identification method (a specific application example) comprises the following steps:
step 01, combing the energy flow relation of each equipment node of the actual physical link of the system of the photovoltaic system to obtain energy flow data (including instantaneous irradiance, output power of photovoltaic string equipment, input and output power of junction box equipment, input and output power of inverter equipment, input and output power of junction box equipment and input and output power of box transformer equipment) of each equipment node;
step 02, calculating a first energy conversion efficiency and a first electric energy loss of the photovoltaic string equipment according to the instantaneous irradiance and the output power of the photovoltaic string equipment;
step 03, judging whether the first electric energy loss of each photovoltaic string device is smaller than a preset first loss threshold value;
step 04, if yes, judging that all the photovoltaic string devices operate normally; if not, capturing the photovoltaic string equipment which runs abnormally and has the first energy loss amount larger than a preset first loss threshold;
step 05, judging whether the first energy conversion efficiency of each photovoltaic string device is larger than a preset first conversion threshold value or not;
step 06, if yes, judging that all the photovoltaic string devices operate normally; if not, capturing the photovoltaic string equipment which runs abnormally and has the first energy conversion efficiency smaller than a preset first conversion threshold;
step 07, if it is determined that normal operation equipment exists in the power generation node according to the step 03 or the step 05, calculating energy conversion efficiency and energy loss of each bus board device according to input and output power of the bus board devices;
step 08, judging whether the energy loss amount of each bus board device is smaller than a preset loss threshold value;
step 09, if yes, judging that all the bus board devices operate normally; if not, capturing the abnormally operated bus board equipment of which the energy loss is greater than a preset loss threshold;
step 10, judging whether the energy conversion efficiency of each bus board device is greater than a preset conversion threshold value;
step 11, if yes, judging that all the bus board devices operate normally; if not, capturing the abnormally operated bus bar equipment of which the energy conversion efficiency is smaller than a preset conversion threshold value;
step 12, if it is determined that normal operation equipment exists in the junction plate node according to the step 08 or the step 10, calculating second energy conversion efficiency and second energy loss of each inverter equipment according to input and output power of the inverter equipment;
step 13, judging whether the second energy loss of each inverter device is smaller than a preset second loss threshold value;
step 14, if yes, judging that all the inverter devices operate normally; if not, capturing the inverter equipment which runs abnormally and has second energy loss larger than a preset second loss threshold;
step 15, judging whether the second energy conversion efficiency of each inverter device is greater than a preset second conversion threshold value;
step 16, if yes, judging that all the inverter devices operate normally; if not, capturing the inverter equipment which runs abnormally and has second energy conversion efficiency smaller than a preset second conversion threshold;
step 17, if it is determined that normal operation equipment exists in the inverter node according to the step 13 or the step 15, calculating a third energy conversion efficiency and a third energy loss of each junction box equipment according to the input and output power of the junction box equipment;
step 18, judging whether the third energy loss of each combiner box device is smaller than a preset third loss threshold value;
step 19, if yes, judging that all the combiner box equipment normally operate; if not, capturing the abnormally operated combiner box equipment of which the third energy loss is greater than a preset third loss threshold;
step 20, judging whether the third energy conversion efficiency of each confluence box device is greater than a preset third conversion threshold value;
step 21, if yes, judging that all the combiner box equipment normally operate; if not, capturing the abnormally operated combiner box equipment of which the third energy conversion efficiency is smaller than a preset third conversion threshold;
step 22, if it is determined that normal operation equipment exists in the junction box node according to the step 18 or the step 20, calculating fourth energy conversion efficiency and fourth energy consumption of each box-type substation equipment according to input and output power of the box-type substation equipment;
step 23, judging whether the fourth energy loss of each box transformer substation equipment is smaller than a preset fourth loss threshold value;
step 24, if yes, judging that all box transformer substation equipment normally operate; if not, capturing the abnormally operated box transformer substation equipment of which the fourth energy loss is greater than a preset fourth loss threshold;
step 25, judging whether the fourth energy conversion efficiency of each box transformer substation equipment is greater than a preset fourth conversion threshold value;
step 26, if yes, judging that all box transformer substation equipment normally operate; if not, capturing the abnormally operated box transformer substation equipment of which the fourth energy conversion efficiency is smaller than a preset fourth conversion threshold;
step 27, summarizing the equipment information and the abnormal operation reason of the abnormal equipment of each equipment node, determining the abnormal alarm type according to the abnormal operation reason, and making corresponding abnormal alarm processing measures;
and step 28, if the troubleshooting of each equipment node is not abnormal, outputting a result of no abnormality of analysis.
According to the technical scheme provided by the embodiment of the disclosure, from the perspective of energy balance calculation, through the steps, the states of energy conversion and energy output of each equipment node of the whole photovoltaic system in operation can be systematically monitored and analyzed in real time, abnormal operation equipment of each node is identified, and the real-time states of energy conversion and circulation of the whole energy link from a power generation node to a grid-connected node of the photovoltaic system can be clearly displayed, so that enterprises can be helped to quickly locate the abnormal operation equipment of the system, quickly locate the operation node with large grid-connected income loss caused by quick positioning, and fully excavate the income potential of green energy; meanwhile, the method can be used for simultaneously carrying out calculation analysis on hundreds of devices, abnormal operation devices which cause low energy conversion efficiency of each device node can be rapidly found out, and compared with manual analysis, the analysis and identification efficiency can be improved by more than 50%.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 4 is a schematic diagram of an apparatus for identifying an abnormal operation device of a photovoltaic system according to an embodiment of the present disclosure. As shown in fig. 4, the photovoltaic system abnormal operation device identification apparatus includes:
the calculation module 401 is configured to acquire energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculate energy conversion efficiency and/or electric energy loss of each equipment node according to the energy transfer data;
an identifying module 402 configured to identify an abnormal device of each device node according to the energy conversion efficiency and/or the electric energy loss amount of each device node.
According to the technical scheme provided by the embodiment of the disclosure, the computing module 401 is configured to obtain energy transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and the energy conversion efficiency and/or the electric energy consumption of each equipment node are/is computed according to the energy transfer data; the identification module 402 is configured to identify abnormal devices of each device node according to the energy conversion efficiency and/or the electric energy consumption of each device node, so that the electric power output (output power) and the circulation state between the devices of the whole system can be systematically analyzed, the real-time state monitoring of the energy conversion and the energy output of the whole photovoltaic system in operation can be realized, meanwhile, the abnormal devices of the photovoltaic system in operation can be timely and accurately identified, and the energy waste can be reduced.
In some embodiments, the photovoltaic system link includes a power generation node, an inverter node, a combiner box node, and a grid connection node connected in series. The calculating module 401 includes:
the acquisition unit is configured to acquire the instantaneous solar irradiance of photovoltaic string equipment reaching a power generation node of a photovoltaic system, the output power of each photovoltaic string equipment, the input power and the output power of each inverter equipment of an inverter node, each junction box equipment of a junction box node and each box transformer equipment of a grid-connected node;
a first calculation unit configured to calculate a first energy conversion efficiency and/or a first amount of electric energy loss of each photovoltaic string device of the power generation node based on the instantaneous solar irradiance and the output power of each photovoltaic string device;
a second calculation unit configured to calculate a second energy conversion efficiency and/or a second power loss amount of each inverter device when electric energy flows from the power generation node to the inverter node, based on the input power and the output power of each inverter device;
a third calculation unit configured to calculate a third energy conversion efficiency and/or a third electric energy loss amount of each combiner box device when electric energy flows from the inverter node to the combiner box node, according to the input power and the output power of each combiner box device;
and the fourth calculating unit is configured to calculate a fourth energy conversion efficiency and/or a fourth electric energy loss amount of each box-type substation device when the electric energy flows from the junction box node to the grid-connected node according to the input power and the output power of each box-type substation device.
In some embodiments, the identifying module 402 comprises:
the first identification unit is configured to identify the photovoltaic string devices with abnormal operation of the power generation nodes according to the first energy conversion efficiency and/or the first electric energy loss amount of each photovoltaic string device;
a second identification unit configured to identify an inverter device of an abnormal operation of the inverter node according to a second energy conversion efficiency and/or a second power loss amount of each inverter device;
a third identification unit configured to identify a combiner box device of an abnormal operation of the combiner box node according to a third energy conversion efficiency and/or a third electric energy loss amount of each combiner box device;
and the fourth identification unit is configured to identify the box transformer substation equipment which is abnormally operated at the grid-connected node according to the fourth energy conversion efficiency and/or the fourth electric energy loss amount of each box transformer substation equipment.
In some embodiments, the first identification unit may be specifically configured to:
calculating a first conversion difference value between the first energy conversion efficiency of each photovoltaic string device and a preset first conversion threshold value, and a first loss difference value between the first energy loss of each photovoltaic string device and a preset first loss threshold value;
and determining the photovoltaic string equipment of the power generation node, which abnormally operates, according to the first conversion difference and/or the first loss difference.
In some embodiments, the second identification unit may be specifically configured to:
when the photovoltaic string devices which normally run exist in the power generation node according to the first energy conversion efficiency and/or the first electric energy loss of each photovoltaic string device, calculating a second conversion difference value between the second energy conversion efficiency of each inverter device and a preset second conversion threshold value, and a second loss difference value between the second electric energy loss of each inverter device and a preset second loss threshold value;
and determining the inverter equipment with abnormal operation of the inverter node according to the second conversion difference value and/or the second loss difference value.
In some embodiments, the third identification unit may be specifically configured to:
when the inverter equipment which normally operates is determined to exist in the inverter node according to the second conversion difference and/or the second loss difference, the junction box equipment which abnormally operates in the junction box node is identified according to the third energy conversion efficiency and/or the third electric energy loss;
the fourth identifying unit may be specifically configured to:
when it is determined that the junction box node has the junction box device which normally operates according to the third energy conversion efficiency and/or the third electric energy loss amount, the abnormally-operating box transformer substation device of the grid-connected node is identified according to the fourth energy conversion efficiency and/or the fourth electric energy loss amount of each box transformer substation device.
In some embodiments, the above apparatus further comprises:
the information acquisition module is configured to acquire equipment information and abnormal operation reasons of abnormal equipment of each equipment node, wherein the equipment information comprises an equipment name and an equipment installation position;
the alarm type determining module is configured to determine the type of the abnormal alarm according to the abnormal operation reason;
and the alarm processing module is configured to make corresponding alarm processing measures according to the abnormal alarm types.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 5 is a schematic diagram of an electronic device 500 provided by an embodiment of the disclosure. As shown in fig. 5, the electronic apparatus 500 of this embodiment includes: a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and operable on the processor 501. The steps in the various method embodiments described above are implemented when the processor 501 executes the computer program 503. Alternatively, the processor 501 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 503.
Illustratively, the computer program 503 may be partitioned into one or more modules/units, which are stored in the memory 502 and executed by the processor 501 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 503 in the electronic device 500.
The electronic device 500 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 500 may include, but is not limited to, a processor 501 and a memory 502. Those skilled in the art will appreciate that fig. 5 is merely an example of an electronic device 500 and does not constitute a limitation of electronic device 500 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., an electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 501 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 502 may be an internal storage unit of the electronic device 500, such as a hard disk or a memory of the electronic device 500. The memory 502 may also be an external storage device of the electronic device 500, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 500. Further, the memory 502 may also include both internal storage units and external storage devices of the electronic device 500. The memory 502 is used for storing computer programs and other programs and data required by the electronic device. The memory 502 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.

Claims (10)

1. A photovoltaic system abnormal operation equipment identification method is characterized by comprising the following steps:
acquiring energy flow conversion data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculating the energy conversion efficiency and/or the electric energy loss of each equipment node according to the energy flow conversion data;
and identifying abnormal equipment of each equipment node according to the energy conversion efficiency and/or the electric energy loss of each equipment node.
2. The method of claim 1, wherein the photovoltaic system link comprises a power generation node, an inverter node, a combiner box node, and a grid connection node connected in series;
the acquiring energy flow transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculating the energy conversion efficiency and/or the electric energy loss of each equipment node according to the energy flow transfer data comprises:
acquiring instantaneous solar irradiance of photovoltaic group string equipment reaching a power generation node of the photovoltaic system, output power of each photovoltaic group string equipment, input power and output power of each inverter equipment of the inverter node, each junction box equipment of the junction box node and each box transformer equipment of the grid-connected node;
calculating first energy conversion efficiency and/or first electric energy loss of each photovoltaic group string device of the power generation node according to the instantaneous solar irradiance and the output power of each photovoltaic group string device;
calculating a second energy conversion efficiency and/or a second electric energy loss of each inverter device when electric energy flows from the power generation node to the inverter node according to the input power and the output power of each inverter device;
calculating a third energy conversion efficiency and/or a third electric energy loss of each combiner box device when electric energy flows from the inverter node to the combiner box node according to the input power and the output power of each combiner box device;
and calculating fourth energy conversion efficiency and/or fourth electric energy loss of each box transformer substation device when electric energy flows from the junction box node to the grid-connected node according to the input power and the output power of each box transformer substation device.
3. The method according to claim 2, wherein the identifying abnormal devices of the equipment nodes according to the energy conversion efficiency and/or the electric energy loss amount of the equipment nodes comprises:
identifying the photovoltaic string devices which run abnormally of the power generation nodes according to the first energy conversion efficiency and/or the first electric energy loss of each photovoltaic string device;
identifying an inverter device of the inverter node which is abnormally operated according to the second energy conversion efficiency and/or the second electric energy loss amount of each inverter device;
identifying the combiner box equipment with abnormal operation of the combiner box nodes according to the third energy conversion efficiency and/or the third electric energy loss of each combiner box equipment;
and identifying the box transformer substation equipment which abnormally operates in the grid-connected node according to the fourth energy conversion efficiency and/or the fourth electric energy loss of each box transformer substation equipment.
4. The method of claim 3, wherein identifying abnormally operating photovoltaic string devices of the generator end node based on the first energy conversion efficiency and/or first amount of electrical energy loss for each of the photovoltaic string devices comprises:
calculating a first conversion difference value of the first energy conversion efficiency of each photovoltaic string device and a preset first conversion threshold value, and a first loss difference value of the first energy loss of each photovoltaic string device and a preset first loss threshold value;
and determining the photovoltaic string equipment of the power generation node, which abnormally operates, according to the first conversion difference and/or the first loss difference.
5. The method of claim 2, wherein identifying an abnormally operating inverter device of the inverter node based on the second energy conversion efficiency and/or the second amount of power loss comprises:
when the photovoltaic string devices which normally run exist in the power generation node according to the first energy conversion efficiency and/or the first electric energy loss of each photovoltaic string device, calculating a second conversion difference value between the second energy conversion efficiency of each inverter device and a preset second conversion threshold value, and a second loss difference value between the second electric energy loss of each inverter device and a preset second loss threshold value;
and determining the inverter equipment with abnormal operation of the inverter node according to the second conversion difference value and/or the second loss difference value.
6. The method of claim 5, wherein identifying an abnormally operating combiner box apparatus for the combiner box node based on the third energy conversion efficiency and/or third amount of electrical energy loss for each of the combiner box apparatuses comprises:
when it is determined that the inverter node has the inverter device which normally operates according to the second conversion difference and/or the second loss difference, identifying the junction box device which abnormally operates of the junction box node according to the third energy conversion efficiency and/or the third electric energy loss;
the identifying of the grid-connected node of the box transformer substation equipment which operates abnormally according to the fourth energy conversion efficiency and/or the fourth electric energy loss of each box transformer substation equipment includes:
when it is determined that the junction box node has the junction box device which normally operates according to the third energy conversion efficiency and/or the third electric energy loss, the grid-connected node is identified as an abnormally-operating box transformer device according to the fourth energy conversion efficiency and/or the fourth electric energy loss of each box transformer device.
7. The method according to claim 1, wherein the identifying abnormal devices of the equipment nodes according to the energy conversion efficiency and/or the electric energy loss of the equipment nodes comprises:
acquiring equipment information and abnormal operation reasons of abnormal equipment of each equipment node, wherein the equipment information comprises an equipment name and an equipment installation position;
determining the type of abnormal alarm according to the abnormal operation reason;
and formulating corresponding alarm processing measures according to the abnormal alarm type.
8. The utility model provides a photovoltaic system abnormal operation equipment recognition device which characterized in that includes:
the calculation module is configured to acquire energy flow transfer data of each equipment node from a power generation node to a grid-connected node on a photovoltaic system link, and calculate the energy conversion efficiency and/or the electric energy loss of each equipment node according to the energy flow transfer data;
and the identification module is configured to identify abnormal equipment of each equipment node according to the energy conversion efficiency and/or the electric energy loss amount of each equipment node.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202111446731.5A 2021-11-30 2021-11-30 Photovoltaic system abnormal operation equipment identification method, device, equipment and storage medium Pending CN114142808A (en)

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