Islanding Detection in Rural Distribution Systems

Wen Fan, Ning Kang, Robert Hebner and Xianyong Feng
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Wen Fan: Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA
Ning Kang: Power and Energy Systems Department, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Robert Hebner: Center for Electromechanics, University of Texas at Austin, Austin, TX 78758, USA
Xianyong Feng: Center for Electromechanics, University of Texas at Austin, Austin, TX 78758, USA

Energies, 2020, vol. 13, issue 20, 1-12

Abstract: This paper summarizes the literature on detection of islanding resulting from distributed generating capabilities in a power distribution system, with emphasis on the rural distribution systems. It is important to understand the legacy technology and equipment in the rural distribution electrical environment due to the growth of power electronics and the potential for adding the new generations of intelligent sensors. The survey identified four areas needing further research: 1. Robustness in the presence of distribution grid disturbances; 2. the future role of artificial intelligence in the islanding application; 3. more realistic standard tests for the emerging electrical environment; 4. smarter sensors. In addition, this paper presents a synchro-phasor-based islanding detection approach based on a wireless sensor network developed by the University of Texas at Austin. Initial test results in a control hardware-in-the-loop (CHIL) simulation environment suggest the effectiveness of the developed method.

Keywords: distribution system; islanding; sensors; testing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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