Novel electron drifting algorithm based BESS scheduling in home energy management system

J. T. Liao, H. T. Yang

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Battery energy storage system (BESS) operation management, including charging/discharging scheduling, is generally a complicated, non-linear optimization problem with constrains. To solve the high-dimension optimization problems, this paper proposes a novel electron drifting algorithm (EDA) to avoid the common disadvantages that most existing optimization algorithms have, such as easy to trap in a local optimal point and sensitive to given initial solutions. All the proposed EDA mainly mimics the features of electron drifting. The solutions having been searched in the past iterations are stored in a database to constitute an electric field. The electrons, which represent solutions, are generated at random location and drift according to the electric field. Benchmark functions are adopted to verify the effectiveness of the proposed EDA before its application to the BESS scheduling problem of a home energy management system (HEMS). The numerical results obtained from the proposed EDA are compared with the existing optimization algorithms to verify the enhanced searching efficiency and capability of the proposed EDA.

原文English
主出版物標題Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
發行者IEEE Computer Society
頁面3996-4001
頁數6
ISBN(電子)9781509034741
DOIs
出版狀態Published - 2016 十二月 21
事件42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
持續時間: 2016 十月 242016 十月 27

出版系列

名字IECON Proceedings (Industrial Electronics Conference)

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
國家Italy
城市Florence
期間16-10-2416-10-27

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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