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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52783

Title: New Intelligent Particle Swarm Optimization Algorithm to Economic Dispatch with Valve Point Loading.
Authors: Jie Lin
Chun-Lung Chen
Shun-Feng Tsai
Chengqing Yuan
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: nonconvex economic dispatch
valve-point effect
particle swarm optimization
intelligent particle swarm optimization
direct search method
Date: 2015-02
Issue Date: 2020-01-06T08:27:42Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract: With increasing fuel prices and restructuring in the power industry, nonconvex economic dispatch (NED) is expected to become crucial because of nonsmooth cost functions. This paper presents an intelligent particle swarm optimization for economic dispatch with valve-point effect. A new index, another particle best (Pbestap), is incorporated into the particle swarm optimization to further improve social behavior. Moreover, a novel diversity-based judgment mechanism for evaluating Pbestap behavior is proposed for maintaining population diversity, which facilitates identification of the near-global region. The direct search algorithm is used to fine-tune and determine the eventual global optimal solution at low computational expense. Numerical experiments demonstrate that the proposed approach offers higher quality solutions than do several existing techniques.
Relation: 23(1) pp 44-53
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52783
Appears in Collections:[輪機工程學系] 期刊論文

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