Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 13, 2023


Pages


DOI

Article

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

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Authors

Wanru He Affiliation:
School of Urban Construction and Environment, Dongguan City College, Dongguan, Guangdong, 523419, China.
, Chunhong He Affiliation:
School of Urban Construction and Environment, Dongguan City College, Dongguan, Guangdong, 523419, China.
, Zongjie Zhang Affiliation:
School of Urban Construction and Environment, Dongguan City College, Dongguan, Guangdong, 523419, China.
and Bin Ren Affiliation:
International School of Microelectronics, Dongguan University of Technology, Dongguan, Guangdong, 523808, China.


Abstract

This paper lays the foundation for the subsequent analysis of power quality in distribution networks by briefly describing the indicators of power quality. Utilizing the zero sequence voltage mutation detection fault of a small current routing algorithm, the instantaneous values of voltage and current of each phase of the three-phase circuit are quickly calculated based on the electrical parameters of instantaneous reactive power and the online intelligent detection system is established. The effectiveness and feasibility of the designed detection system and detection algorithm in detecting electrical energy parameters have been verified through experiments. The results show that the error of voltage measurement is within 0.0003-0.002, the frequency error of the system is up to 0.0117%, the measurement error of three-phase unbalance is distributed between 0.001 and 0.1, and the error of negative sequence and zero sequence is between ±0.003, which meet the system design requirements. It shows that the use of online intelligent detection systems can improve the quality of distribution network operation and fault identification accuracy, improve power quality, and effectively improve the reliability of power supply.


Keywords

Power quality, Three-phase unbalance, Small current line selection, Instantaneous reactive power, Intelligent detection system, 05C82


Citation

He, W., He, C., Zhang, Z., & Ren, B. (2023). Design of online intelligent detection system for power quality and fault identification in distribution networks. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01454

Published by: Engineering Journals

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