Enhancement of Power System Operation using Grey Wolf Optimization Algorithm

被引:0
作者
Hassan, Zeinab G. [1 ]
Ezzat, Mohamed [2 ]
Abdelaziz, Almoataz Y. [2 ]
机构
[1] 5th Settlement, Higher Inst Engn & Technol, Dept Elect Engn, Cairo, Egypt
[2] Ain Shams Univ, Dept Elect Power & Machines, Fac Engn, Cairo, Egypt
来源
2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON) | 2017年
关键词
Dynamic Programming; Economic load dispatch; Genetic Algorithm; Grey Wolf Optimization; Unit Commitment; PARTICLE SWARM OPTIMIZATION; ECONOMIC-DISPATCH; NONCONVEX;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The optimization process of the total generation cost is very important in a power system. Economic Load Dispatch (ELD) and Unit Commitment (UC) are very important applications to predict the optimized cost of load in a power system. UC determines working states for existing generating units under some operational constraints and then optimizing the operation cost for all running units w.r.t. load demand using economic dispatch. This paper shows a novel approach in view of Genetic Algorithm (GA) or Dynamic Programming (DP) to study UC and then Grey Wolf Optimization (GWO) technique is presented to give the solution of the constrained ELD problem of thermal plants depending on UC solution. The IEEE 30 bus system is used to test the demonstration of the solution quality, computation efficiency and the feasibility of the application of GWO algorithm for ELD problem compared with results from other techniques.
引用
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页码:397 / 402
页数:6
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