TY - GEN
T1 - Intelligent Method for Online Adaptive Optimum Coordination of Overcurrent Relays
AU - Xu, Ke
AU - Liao, Yuan
PY - 2019/3/8
Y1 - 2019/3/8
N2 - In power distribution systems, various abnormal events like faults may happen sometimes, which requires a reliable protective system. Overcurrent relays are most commonly employed in distribution systems among other types of protection systems. For the overcurrent relays, the coordination between them is very important in protection system. Coordination is to find the most appropriate settings for each relay including time dial settings (TDS) and pick up current settings. Current optimal coordination methods are developed under assumption of constant load and fixed DG output, which is a static condition. Therefore, they may not provide most appropriate, optimal settings of each relay for coordination in distribution system. This paper presents an intelligent online adaptive optimum coordination method for overcurrent relays using genetic algorithm for distribution systems when there are variations of load and distributed generations outputs. We have presented evaluation studies to demonstrate the proposed method.
AB - In power distribution systems, various abnormal events like faults may happen sometimes, which requires a reliable protective system. Overcurrent relays are most commonly employed in distribution systems among other types of protection systems. For the overcurrent relays, the coordination between them is very important in protection system. Coordination is to find the most appropriate settings for each relay including time dial settings (TDS) and pick up current settings. Current optimal coordination methods are developed under assumption of constant load and fixed DG output, which is a static condition. Therefore, they may not provide most appropriate, optimal settings of each relay for coordination in distribution system. This paper presents an intelligent online adaptive optimum coordination method for overcurrent relays using genetic algorithm for distribution systems when there are variations of load and distributed generations outputs. We have presented evaluation studies to demonstrate the proposed method.
KW - Distributed generation
KW - Genetic algorithm
KW - Intelligent online adaptive protection
KW - Variation of load
UR - http://www.scopus.com/inward/record.url?scp=85063941396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063941396&partnerID=8YFLogxK
U2 - 10.1109/PSC.2018.8664055
DO - 10.1109/PSC.2018.8664055
M3 - Conference contribution
AN - SCOPUS:85063941396
T3 - Clemson University Power Systems Conference, PSC 2018
BT - Clemson University Power Systems Conference, PSC 2018
T2 - 2018 Clemson University Power Systems Conference, PSC 2018
Y2 - 4 September 2018 through 7 September 2018
ER -