TY - GEN
T1 - Environmental/economic dispatch using an adaptive multiobjective differential evolution algorithm
AU - Lin, Zhong Yi
AU - Lee, Chen Yu
AU - Chiang, Tsung Che
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.
AB - This paper addresses the environmental/economic dispatch (EED) problem, which aims to minimize the fuel cost and emission of pollutants in a power generation system. We propose an adaptive multiobjective differential evolution algorithm to solve the problem by seeking for the set of Pareto optimal solutions. Performance of the proposed algorithm is verified by comparing with a recent algorithm using two public test systems. Experimental results show that the proposed algorithm has competitive performance.
UR - http://www.scopus.com/inward/record.url?scp=85028506151&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028506151&partnerID=8YFLogxK
U2 - 10.1109/ICCE-China.2017.7991119
DO - 10.1109/ICCE-China.2017.7991119
M3 - Conference contribution
AN - SCOPUS:85028506151
T3 - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
SP - 309
EP - 310
BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Y2 - 12 June 2017 through 14 June 2017
ER -