文章基本信息

标题：Development of a Novel Evolutionary Algorithm Considered Thunderstorm Mechanisms for Optimizing an Economic Dispatch
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作者：A.N. Afandi ; H. Suswanto ; I. Fadlika 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：6
页码：221-230
DOI：10.14257/ijhit.2016.9.6.19
出版社：SERSC
摘要：This paper introduces a novel intelligent computation adopted from a natural phenomenon entitled Thunderstorm Algorithm (TA) which is applied to optimize an economic dispatch under various technical constraints and environmental requirements. These studies used an IEEE-62 bus system as the sample model for demonstrating ability of TA while searching the optimal solution. Obtained results show that TA gives good performances for determining the optimal solution. This demonstration also describes that the optimal solution is searched in faster convergence and shorter time. This computation also performs its characteristic in smooth and stable processes for completing all steps. In detail, the optimal solution is obatined in 22 steps for 15,586 $/h after pointing at 28,858 $/h at the first streaming. Based on executions, the computation needed 2.5 s for the streaming and it also needed 0.09 for covering the dead tracks included 0.5 s for the replacement.
关键词：economic dispatch; operating cost; power system; thunderstorm algorithm