Support vector machine based voltage relays for voltage disturbance detection in micro-distribution systems

Whei Min Lin, Chia Sheng Tu, Ou Ting-Chia

研究成果: Conference contribution

摘要

This study proposes combining fuzzy inference system and support vector machine based voltage relays for voltage disturbance detection in micro-distribution systems (MDSs). Moreover, the coordination characteristic curves of the trigger time versus dynamic errors are proposed for under-voltage and over-voltage protection. Modified coordination characteristic curves use a critical trigger time to isolate the faults. An support vector machine (SVM) is a multi-layer decision-making model, which detects voltage disturbances, such as voltage swell, voltage sag, voltage unbalance, and faults. Computer simulations are conducted, using an IEEE 30-bus power system and micro-distribution systems, to show the effectiveness of the proposed voltage relays.

原文English
主出版物標題Advances in Energy Science and Technology
頁面2084-2090
頁數7
DOIs
出版狀態Published - 2013
事件2012 International Conference on Sustainable Energy and Environmental Engineering, ICSEEE 2012 - Guangzhou, China
持續時間: 2012 12月 292012 12月 30

出版系列

名字Applied Mechanics and Materials
291-294
ISSN(列印)1660-9336
ISSN(電子)1662-7482

Conference

Conference2012 International Conference on Sustainable Energy and Environmental Engineering, ICSEEE 2012
國家/地區China
城市Guangzhou
期間12-12-2912-12-30

All Science Journal Classification (ASJC) codes

  • 一般工程

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