Combined heat and power economic dispatch problem using gravitational search algorithm
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- 作者：Soheil Derafshi Beigvanda ; soheil3240@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Hamdi Abdia ; hamdiabdi@razi.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Massimo La Scalab ; massimo.lascala@poliba.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：ACPUT ; absolute CPU time ; ACSA ; ant colony search algorithm ; BCO ; bee colony optimization ; CHP ; combined heat and power ; CHPED ; combined heat and power economic dispatch ; CPSO ; classic particle swarm optimization ; DACE ; design and analysis of computer experiments ; DE ; differential evolution ; ED ; economic dispatch ; EDHS ; economic dispatch harmony search ; GA-PF ; genetic algorithm based penalty function ; GSA ; gravitational search algorithm ; HS ; harmony search ; IGA-MU ; improved genetic algorithm wit
- 刊名：Electric Power Systems Research
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：133
- 期：Complete
- 页码：160-172
- 全文大小：1767 K
文摘
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Applying the gravitational search algorithm (GSA) to solve the combined heat and power economic dispatch (CHPED) problem.
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Modeling the valve-point loading effect and transmission losses in the CHPED problem.
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Verifying the effectiveness of the proposed method on different case studies.
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Comparing the results of GSA-based CHPED problem with various heuristic algorithms such as GA, HS, EDHS, CPSO, and TVAC-PSO.