| Title |
An Empirical Study on Autonomous Operation in Emergency Situation of Microgrids |
| Authors |
홍지송(Ji-Song Hong) ; 김현우(Hyun-Woo Kim) ; 안선주(Seon-Ju Ahn) ; 최준호(Joon-Ho Choi) ; 윤상윤(Sang-Yun Yun) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.12.1595 |
| Keywords |
Microgrids ; emergency situation ; Autonomous operation ; Fuzzy logic ; Emergency controller ; EMS |
| 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. |