Research on optimal schedule strategy for active distribution network using particle swarm optimization combined with bacterial foraging algorithm
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- 作者：Feng Zhao ; 113481502@qq.com" class="auth_mail" title="E-mail the corresponding author ; Jingjing Si sjjlanzhou@163.com" class="auth_mail" title="E-mail the corresponding author ; Jijuan Wang 649095022@qq.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Active distribution network (ADN) ; Distributed generation (DG) ; Particle swarm optimization-bacterial foraging algorithm (PSO-BFO) ; Optimal schedule
- 刊名：International Journal of Electrical Power & Energy Systems
- 出版年：2016
- 出版时间：June 2016
- 年：2016
- 卷：78
- 期：Complete
- 页码：637-646
- 全文大小：719 K
文摘
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Proposes an environmental protection and energy saving optimal schedule model for ADN.
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Presents two stage algorithm to solve the proposed multi-objective scheduling model.
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Solve the model using PSO-BFO and obtain Pareto solutions.
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Evaluate the Pareto solutions with entropy weight decision-making method to gain the optimal strategy.