Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Research on Distributed Photovoltaic Grid-Connected Fault Diagnosis Methods: A Review

Version 1 : Received: 28 December 2023 / Approved: 15 January 2024 / Online: 15 January 2024 (08:05:56 CET)

How to cite: Wan, Q.; Zhang, Y. Research on Distributed Photovoltaic Grid-Connected Fault Diagnosis Methods: A Review. Preprints 2024, 2024011114. https://doi.org/10.20944/preprints202401.1114.v1 Wan, Q.; Zhang, Y. Research on Distributed Photovoltaic Grid-Connected Fault Diagnosis Methods: A Review. Preprints 2024, 2024011114. https://doi.org/10.20944/preprints202401.1114.v1

Abstract

Power grid fault diagnosis technology has been widely used at home and abroad. With the access of distributed power sources and diversified loads, the distribution network has changed from a passive network to an active network, and the current has changed from "one-way" to "two-way". The structure of distribution network, equipment environment and operating conditions are becoming more and more complex, and the fault diagnosis and localization of active distribution network is becoming more and more difficult. With the rapid development of artificial intelligence, power grid fault diagnosis based on intelligence is unprecedented. This paper introduces the research status of distributed photovoltaic grid-connected fault diagnosis technology, and expounds the history of fault diagnosis technology, which mainly includes expert system, artificial neural network, Bayesian network, fuzzy set theory, rough set theory, Petri net analytical model and multi-source information fusion, etc. The applicability and characteristics of these diagnoses are described, and the existing defects and the overall direction of improvement are briefly described Finally, the key technical problems and future directions in the field of power system fault diagnosis are pointed out by combining theory with practice, so as to promote the further development of this field.

Keywords

power grid; distributed photovoltaic; fault diagnosis; development trend

Subject

Engineering, Electrical and Electronic Engineering

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