Computational framework for power economic dispatch using genetic algorithm

被引:0
|
作者
Malik, Tahir Nadeem [1 ]
Abbasi, Abdul Qudus [2 ]
Ahmad, Aftab [3 ,4 ]
机构
[1] Univ Engg & Tech, Dept Elect Engn, Taxila, Pakistan
[2] Quaid I Azam Univ, Dept Comp Sci, Islamabad, Pakistan
[3] Natl Power Control Ctr WAPDA, Islamabad, Pakistan
[4] Univ Engg & Tech, Dept Elect Engn, Taxila, Pakistan
关键词
artificial intelligence (AI); software architecture; framework; power economic dispatch (PED); genetic algorithm (GA); GA parameters; white-box reuse;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Economic Dispatch Problem (EDP) is the important step in Power System operation and is non-convex optimization problem. It has been solved comprehensively with mathematical programming approaches. However, these approaches handle non-convexity with assumption and resulting in an inaccurate dispatch. Genetic algorithms are potential tools for Economic dispatch solution. Computational framework "PED_Frame" has been developed which can handle economic dispatch solutions based on mathematical programming and Genetic Algorithm based approaches independently and in hybrid form. It has been tested on standard three machine and twenty machine test systems.
引用
收藏
页码:191 / +
页数:2
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