TY - GEN
T1 - A fuzzy-rule based power restoration approach for a distribution system with renewable energies
AU - Yang, Hong-Tzer
AU - Liao, Jian Tang
AU - Su, Xiang He
PY - 2011/9/27
Y1 - 2011/9/27
N2 - Based on heuristic fuzzy rules, a new power restoration approach is presented in this paper. The restoration approach developed can be used to deal with different fault cases in a distribution system (DS) with sources of renewable energies. This paper introduces Load Path as the main framework for restoration. The proposed strategy can achieve the advantages of simple decision criterions, balance of backup feeders, fast execution time, and applicability for different fault cases. Depending on fault situations, the number of load paths is different. With more than two load paths existing, the proposed fuzzy rules infer the best main load path with one of its switches operated as the restoration strategy (RS) for the specific case. To consider the distributed generations (DGs) of renewable energies, the proposed approach has been validated in a test system adapted from Taipower distribution system for different scenario studies.
AB - Based on heuristic fuzzy rules, a new power restoration approach is presented in this paper. The restoration approach developed can be used to deal with different fault cases in a distribution system (DS) with sources of renewable energies. This paper introduces Load Path as the main framework for restoration. The proposed strategy can achieve the advantages of simple decision criterions, balance of backup feeders, fast execution time, and applicability for different fault cases. Depending on fault situations, the number of load paths is different. With more than two load paths existing, the proposed fuzzy rules infer the best main load path with one of its switches operated as the restoration strategy (RS) for the specific case. To consider the distributed generations (DGs) of renewable energies, the proposed approach has been validated in a test system adapted from Taipower distribution system for different scenario studies.
UR - http://www.scopus.com/inward/record.url?scp=80053057169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053057169&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2011.6007534
DO - 10.1109/FUZZY.2011.6007534
M3 - Conference contribution
AN - SCOPUS:80053057169
SN - 9781424473175
T3 - IEEE International Conference on Fuzzy Systems
SP - 2448
EP - 2453
BT - FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Y2 - 27 June 2011 through 30 June 2011
ER -
