Design of reduced search space strategy based on integration of Nelder-Mead method and pattern search algorithm with application to economic load dispatch problem

被引:27
|
作者
Chouhdry, Zafar-ur-Rehman [1 ]
Hasan, Khalid M. [1 ]
Raja, Muhammad Asif Zahoor [2 ]
机构
[1] Univ Engn & Technol, Dept Elect Engn, Lahore, Pakistan
[2] COMSATS Inst Informat Technol, Dept Elect Engn, Attock Campus, Attock, Pakistan
来源
NEURAL COMPUTING & APPLICATIONS | 2018年 / 30卷 / 12期
关键词
Economic load dispatch; Nelder-Mead method; Pattern search algorithm; Hybrid techniques; DIFFERENTIAL EVOLUTION; SIMPLEX-METHOD; OPTIMIZATION; PSO; SQP;
D O I
10.1007/s00521-017-2951-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a novel hybrid technique for the solution of economic load dispatch problem with valve point loading effect using Nelder-Mead (NM) simplex method and pattern search (PS) algorithm. Strength of globalized NM optimization algorithm has been employed to explore the search space for near optimal solution, and PS algorithm is used in combination with a search space reduction strategy, incorporating the principles of selection and stochastic reproduction, to fine-tune the result. The proposed technique has been applied to three different systems having 3, 13 and 40 generating units to demonstrate the application for small to large load dispatch set-up. The efficacy of the design scheme is established from comparison of the results with the state-of-the-art solvers, and it is found that the proposed scheme gives the best result in terms of mean cost while the average computational time is less than most of the reported methods.
引用
收藏
页码:3693 / 3705
页数:13
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