Wide Area Monitoring, Protection and Control Application in Islanding Detection for Grid Integrated Distributed Generation: A Review

Onkemetse Tshenyego, Samikannu Ravi, Bokani Mtengi

Research output: Contribution to journalReview articlepeer-review

Abstract

The assimilation of Distributed Generation (DG) into the electric power system (EPS) has become more attractive as the world is following a trend to reduce greenhouse gas emissions by introducing more renewable energy forms resulting
in high penetration scenarios. This high penetration of DGs brings several challenges to the protection philosophy of the EPS which compromises its reliability, availability, and efficiency. Under high DG penetration scenarios, conventional islanding detection methods (Idms) fail to detect an island as the grid loses its inertia to leverage a significant frequency and voltage mismatch necessary for Idms to effectively detect an islanding event. This has given rise to the birth of Artificial Intelligent (AI) methods that are found to perform better in islanding detection. AI Idms are computationally intensive and require a lot of data to operate accurately. Because the computational burden of these methods requires fast computing hardware, the current trend of AI Idms are integrated with Wide Area Monitoring, Protection, and Control (WAMPAC) system. This paper aims at reviewing all these Idms and the WAMPAC’s system latency when hosting
AI Idms which are currently the best in islanding detection. This is done to determine if theWAMPAC system latency plus Idms computational time meet the islanding detection time specified by the IEEE Standard 1547 framework.
Original languageEnglish
Pages (from-to)1-33
Number of pages33
JournalMeasurement and Control
DOIs
Publication statusPublished - Apr 15 2021

All Science Journal Classification (ASJC) codes

  • Energy(all)

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