Environmental/Economic Dispatch using an Adaptive Multiobjective Differential Evolution Algorithm

被引：0

作者：

Lin, Zhong-Yi ^{[1
]}

Lee, Chen-Yu ^{[1
]}

Chiang, Tsung-Che ^{[1
]}

机构：

[1] Natl Taiwan Normal Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2017年

关键词：

SEARCH ALGORITHM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：2

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