基于计算智能技术的最优定向过流继电器协调研究进展

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
S. Ramli, M. Usama, H. Mokhlis, W. Wong, Muhamad Hatta Hussain, M. Muhammad, Nurulafiqah Nadzirah Binti Mansor
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引用次数: 3

摘要

在过去十年中,各种负荷需求呈指数级增长,这影响了更多发电厂加入电力系统。这增加了故障电流由于电流的双向流动,导致不必要的跳闸继电器,如果没有适当的协调。因此,必须确保电网中安装的继电器能够从任何方向(即上游或下游)感知故障电流。这可以通过在系统中引入最佳定向过流继电器(DOCR)协调方案来实现。本文综述了各种优化技术在综合电网中定向过流继电器优化协调中的应用。这篇综述强调了用于缓解DOCR协调问题的技术的优点和局限性。最后,对优化DOCR协调的潜在研究方向进行了探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal directional overcurrent relay coordination based on computational intelligence technique: a review
An exponential increase in diverse load demand in the last decade has influenced the integration of more power plants into the power system. This increases the fault current due to the bidirectional flow of current, resulting in unwanted tripping of the relays if not properly coordinated. Therefore, it is imperative to ensure the installation of relays in the grid being able to sense the fault current from any direction (i.e. upstream or downstream). This can be accomplished by introducing an optimal directional overcurrent relay (DOCR) coordination scheme into the system. This paper presents an in-depth review of the applications of various optimization techniques for optimal coordination of directional overcurrent relays (DOCRs) in integrated power networks. The review highlights the advantages and limitations of techniques implemented to mitigate the DOCR coordination issues. Furthermore, potential research directions for optimal DOCR coordination are also discussed in this paper.
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来源期刊
Turkish Journal of Electrical Engineering and Computer Sciences
Turkish Journal of Electrical Engineering and Computer Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
2.90
自引率
9.10%
发文量
95
审稿时长
6.9 months
期刊介绍: The Turkish Journal of Electrical Engineering & Computer Sciences is published electronically 6 times a year by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Accepts English-language manuscripts in the areas of power and energy, environmental sustainability and energy efficiency, electronics, industry applications, control systems, information and systems, applied electromagnetics, communications, signal and image processing, tomographic image reconstruction, face recognition, biometrics, speech processing, video processing and analysis, object recognition, classification, feature extraction, parallel and distributed computing, cognitive systems, interaction, robotics, digital libraries and content, personalized healthcare, ICT for mobility, sensors, and artificial intelligence. Contribution is open to researchers of all nationalities.
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