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http://dx.doi.org/10.5370/KIEE.2018.67.12.1595

An Empirical Study on Autonomous Operation in Emergency Situation of Microgrids  

Hong, Ji-Song (Dept. of Electrical Engineering, Chonnam National University)
Kim, Hyun-Woo (Dept. of Electrical Engineering, Chonnam National University)
Ahn, Seon-Ju (Dept. of Electrical Engineering, Chonnam National University)
Choi, Joon-Ho (Dept. of Electrical Engineering, Chonnam National University)
Yun, Sang-Yun (Dept. of Electrical Engineering, Chonnam National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.12, 2018 , pp. 1595-1601 More about this Journal
Abstract
The biggest obstacle to the commercialization of small and medium size microgrid (MG) is the reliability and economics of MG operation and maintenance. In this paper, we propose an autonomous operation method that is implemented as an application program installed in the MG operating system in emergency situations. The proposed algorithm consists of four steps of distinction, recognition, determination and control of emergency situations that can occur in MG. A fuzzy-based situation decision algorithm has been proposed to eliminate the barriers of autonomous operation in actual emergency situation such as occurrence of bad data and communication delay. In addition, countermeasures have been suggested for cases where multiple emergency situations have occurred in combination. The proposed algorithm was tested in a 500kW actual microgrid site of a university. Through the test, the validity of the proposed method and its applicability to practical MG operation are verified.
Keywords
Microgrids; emergency situation; Autonomous operation; Fuzzy logic; Emergency controller; EMS;
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