A load profile management integrated power dispatch using a Newton-like particle swarm optimization method
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- 作者：Caisheng Wanga ; cwang@wayne.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Carol J. Millerb ; cmiller@eng.wayne.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; M. Hashem Nehrirc ; hnehrir@ece.montana.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; John W. Sheppardd ; john.sheppard@cs.montana.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Shawn P. McElmurryb ; s.mcelmurry@wayne.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Economic/environmental dispatch ; Load management ; Newton-like method ; Optimization ; Particle swarm optimization (PSO)
- 刊名：Sustainable Computing: Informatics and Systems
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：8
- 期：Complete
- 页码：8-17
- 全文大小：1855 K
文摘
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Load profile management (LPM) is an effective demand side management (DSM) tool.
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An LPM integrated dispatch algorithm is developed for sustainable energy development.
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A Newton-like particle swarm optimization (PSO) is developed to handle constraints.
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The proposed method has been verified on the IEEE RTS 96 system.
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Results show that 10% of reduction in generation cost and emissions can be achieved.