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Method for diagnosing photovoltaic power station faults on the basis of fuzzy clustering algorithm

A photovoltaic power station and fault diagnosis technology, which is applied in the field of electric power engineering, can solve problems such as low reliability of photovoltaic power stations, inaccurate fault judgment, and untimely fault maintenance, so as to improve reliability and stability, high use value, and improve accuracy. degree of effect

Inactive Publication Date: 2015-04-08
STATE GRID CORP OF CHINA +1
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Problems solved by technology

[0004] The purpose of the present invention is to provide a photovoltaic power plant fault diagnosis method based on fuzzy clustering algorithm to solve the problems of low reliability, inaccurate fault judgment and untimely fault maintenance of existing photovoltaic power plants

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  • Method for diagnosing photovoltaic power station faults on the basis of fuzzy clustering algorithm
  • Method for diagnosing photovoltaic power station faults on the basis of fuzzy clustering algorithm
  • Method for diagnosing photovoltaic power station faults on the basis of fuzzy clustering algorithm

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Embodiment Construction

[0018] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0019] Fuzzy set theory can not only express the definite corresponding relationship between things, but also when there is an ambiguous subordination relationship between things, it can also be expressed in the form of membership degree, which is more in line with the logic of human daily thinking, so its application range Broader than normal collections. The fuzzy clustering algorithm based on the objective function is actually a nonlinear optimization problem. Under the constraints, the soft partition of the set is realized through the minimum value of the objective function. Moreover, the design is simple and easy to implement on a computer, so it is more popular in practical applications and has been widely used in image processing, information retrieval and medical detection.

[0020] According to the characteristics of photovoltaic p...

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Abstract

The invention relates to a method for diagnosing photovoltaic power station faults on the basis of a fuzzy clustering algorithm, and belongs to the technical field of electrical power engineering. The method comprises the following steps: on the basis of a fault knowledge library system, matching and combining the data of a fault alarming sample to be tested with similar data samples of various fault types in the fault knowledge library system to form a fault data matrix which serves as the input quantity of an algorithm, wherein the data samples form an established fact; and according to an output fuzzy membership matrix, automatically comparing membership between the fault alarming sample to be tested and the established-fact data samples of various fault types by the algorithm, and taking the fault type with the highest membership as the fault type which is represented by the fault alarming sample to be tested so as to finish the diagnosis of the photovoltaic power station faults. The method can quickly diagnose the fault type, improve fault diagnosis accuracy and improve the reliability and the stability of the photovoltaic power station, provides fault information and an overhauling scheme for power station operation and maintenance staffs in time so as to reduce losses caused by the faults, and owns a higher utilization value.

Description

technical field [0001] The invention relates to a fault diagnosis method for a photovoltaic power station based on a fuzzy clustering algorithm, and belongs to the technical field of electric power engineering. Background technique [0002] At present, the global environment is becoming more and more serious, and energy problems are becoming more and more prominent. Traditional energy resources represented by coal, oil, and natural gas are gradually being exhausted, and the utilization rate of these energy sources is low and pollutes the environment. Solar energy is inexhaustible and inexhaustible. Photovoltaic power generation is clean, environmentally friendly, green and healthy. It has been widely developed and utilized in many countries around the world, improving people's electricity consumption methods and the surrounding environment to a certain extent. [0003] With the increasing scale and quantity of photovoltaic power plants, equipment quality defects, improper sy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06Y02E40/70Y04S10/50
Inventor 牛高远雷振锋路进升王以笑江新峰贺锦丽王伟张燕忽志敏朱美玲岳倩
Owner STATE GRID CORP OF CHINA
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