Dynamic economic emission dispatch through evolutionary multiobjective optimization: An experimental study

Hsuan Jen Ko, Thammarsat Visutarrom, Tsung Che Chiang

研究成果: 書貢獻/報告類型會議論文篇章

摘要

This paper addresses the dynamic economic emission dispatch (DEED) problem, which needs to allocate power output of generation units in a power system to satisfy power demand over consecutive time periods and minimize cost and emissions simultaneously. We propose a multiobjective evolutionary algorithm to solve the DEED problem. We investigate the effects of the algorithm components including the repair mechanism, selection mechanism, dynamic resource allocation, and dynamic mutation through comprehensive experiments on six test cases. We also compare our algorithm with 15 existing algorithms, and our algorithm shows competitive performance.

原文英語
主出版物標題Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022
編輯Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley Crockett
發行者Institute of Electrical and Electronics Engineers Inc.
頁面750-759
頁數10
ISBN(電子)9781665487689
DOIs
出版狀態已發佈 - 2022
事件2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 - Singapore, 新加坡
持續時間: 2022 12月 42022 12月 7

出版系列

名字Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022

會議

會議2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022
國家/地區新加坡
城市Singapore
期間2022/12/042022/12/07

ASJC Scopus subject areas

  • 人工智慧
  • 電腦科學應用
  • 決策科學(雜項)
  • 計算數學
  • 控制和優化
  • 運輸

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