Dynamic Economic Dispatch Solution using an Enhanced Real-Quantum Evolutionary Algorithm

被引:0
|
作者
Babu, G. S. Sailesh [1 ]
Das, D. Bhagwan [1 ]
Patvardhan, C. [1 ]
机构
[1] Dayalbagh Educ Inst, Agra 282005, Uttar Pradesh, India
关键词
Dynamic Economic Dispatch; Ramp Rate Constraints; Quantum Evolutionary Algorithms;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Dynamic Economic Dispatch (DED) is more realistic dispatch model than Economic Dispatch as a power system meets demand over several intervals (typically I hour each). DED involves Ramp rates, which dynamically change the generation capacity limits of a unit. These dynamically changing inequality constraints make DED problem extremely difficult to solve. In this paper, Dynamic Economic Dispatch problem has been attempted with Enhanced RQEA (HSSDED). The proposed method has been found to be highly consistent in reaching global optima and in generating solutions better other techniques reported in literature. The proposed techniques are quite general and possess capability to handle other equally complex power system problems and others.
引用
收藏
页码:912 / 917
页数:6
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