Author(s)

Qiang Peng ¹, Ting Zhao ¹

Affiliation(s)

¹ State Grid Tong Hua Power Supply Company, State Grid Jilin Electric Power Company Limited, Tonghua, Jilin, China

Corresponding Author

Qiang Peng

ABSTRACT

The adaptability of relay protection in distributed generation systems is an important research topic in modern power systems. This paper proposes a relay protection scheme based on random forest algorithm, and uses IoT technology for real-time data collection and processing. By constructing a simulation model of a distributed power generation system, we compared and analyzed the performance of traditional fixed threshold protection schemes and schemes based on random forest algorithm in terms of sensitivity, accuracy, and reliability. The experimental results show that the scheme based on the random forest algorithm reduces the average response time to 0.12 seconds when dealing with faults, and the misoperation rate and rejection rate are reduced to 5% and 3.3%, respectively. In addition, the reliability of the scheme remained above 95% during 30 days of simulated operation. Experimental data shows that the new scheme significantly improves the sensitivity and accuracy of relay protection, and better adapts to the needs of distributed power generation systems. 

KEYWORDS

Relay Protection; Distributed Power Generation System; Random Forest Algorithm; Adaptability Assessment

CITE THIS PAPER

Qiang Peng, Ting Zhao, The Adaptability and Challenges of Protection Relays in Distributed Generation Systems. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 103-111. DOI: http://dx.doi.org/10.23977/jeeem.2024.070214.

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