Photovoltaic power station fault diagnosis method

A photovoltaic power station and fault diagnosis technology, applied in photovoltaic power generation, photovoltaic modules, photovoltaic system monitoring, etc., can solve problems such as inability to realize online diagnosis and positioning, failure to locate equipment faults, rise in inverter input voltage, etc., to achieve The effect of shortening fault location time, improving fault coverage, and improving power generation time

Active Publication Date: 2015-02-25
BEIJING TSING YUN ENERGY TECH CO LTD
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When a certain device fails, it will lead to abnormal operation status of a series of devices. For example, when a wire connecting the photovoltaic cell array and the DC combiner box is disconnected or the impedance becomes large, the output voltage of the battery array will rise, and the output current will increase. decrease, the input voltage of the inverter rises, and the output current decreases. The monitoring system may recognize that the state of the inverter, DC combiner box, and battery array is abnormal, but it cannot locate the specific device that is faulty.
[0004] The current method is: after monitoring the abnormal state, according to the work experience of the operation and maintenance personnel, through manual guessing, the method of test and replacement is used to find the specific fault location, which has low work efficiency and high cost, and cannot

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Photovoltaic power station fault diagnosis method
  • Photovoltaic power station fault diagnosis method
  • Photovoltaic power station fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0044] Such as figure 2 Shown is a schematic structural diagram of online diagnosis of a photovoltaic power station, wherein a photovoltaic power station fault diagnosis method specifically includes the following steps:

[0045] 1) Establish a multi-fault model of the photovoltaic power station to obtain the relationship between each fault and each parameter.

[0046] Preferably, step 1) specifically includes the following steps:

[0047] 11) Establish the connection structure diagram of the physical equipment of the photovoltaic power station (cell panels, cables, inverters, monitoring and testing equipment, etc.);

[0048] 12) Establish multi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a photovoltaic power station fault diagnosis method. The method has the advantages that the automatic testing optimization design is achieved, the fault coverage rate of a testing scheme is increased, the fault ambiguity, the average test cost and the average test time are reduced, the test redundancy is designed according to needs, the overall test cost is reduced, and the test time is shortened; a photovoltaic power station fault strategy is automatically generated, online automatic diagnosis of photovoltaic power station faults is achieved, shut-down is avoided in the diagnosis process, the faults are fast and accurate to locate, the harm time of the faults is shortened, the fault shut-down time is shortened, and the power generation time of a photovoltaic power station is prolonged; dependence, on the technical level of personnel, of the photovoltaic power station faults is reduced, the diagnosis cost is low, the diagnosis level is stable, the diagnosis work amount is small, the requirement for test equipment is low, fast maintaining can be achieved, the power generation time is guaranteed, the diagnostic procedure is fast, and therefore further deterioration of the faults is prevented.

Description

technical field [0001] The invention relates to a fault diagnosis method for a photovoltaic power station. Background technique [0002] Photovoltaic power station systems (including distributed photovoltaic power stations) are mainly composed of photovoltaic panels, DC cables, DC combiner boxes, inverters, AC cables, AC combiner boxes, transformers, etc. Problems such as battery pollution, short circuit, switch damage, line wear, and aging in the photovoltaic power station system will cause the power generation of the photovoltaic power station to drop or even shut down. [0003] The current photovoltaic power station only has a monitoring system, such as figure 1 As shown, the fault diagnosis method of the photovoltaic power station is a diagnosis method based on single-point monitoring. The photovoltaic power station monitoring system can monitor the voltage and current of the photovoltaic cell string, the voltage and current of the combiner box, and the input and output...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H02S50/00
CPCH02S50/00Y02E10/50
Inventor 王新攀吕政良
Owner BEIJING TSING YUN ENERGY TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products