Crisscross Optimization with Comprehensive Vertical Crossover to Solve Combined Economic Emission Dispatch

被引:6
作者
Chelladurai, Chinnadurrai [1 ]
Victoire, Aruldoss Albert [1 ]
机构
[1] Anna Univ, Reg Campus Coimbatore, Coimbatore 641046, Tamil Nadu, India
关键词
heuristic algorithms; nonlinear equations; optimal scheduling; optimization methods; power generation dispatch; BIOGEOGRAPHY-BASED OPTIMIZATION; GRAVITATIONAL SEARCH ALGORITHM; BEE COLONY ALGORITHM; LOAD DISPATCH; POWER-SYSTEMS; LINE FLOW; HYBRID; CONSTRAINTS;
D O I
10.4316/AECE.2018.03018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article implements Crisscross optimization technique with comprehensive vertical crossover (CSCVC) to solve the combined economic and emission dispatch (CEED) problem. The optimization problem considered here is multi-objective, as it involves both cost and emission to be minimized simultaneously. This complex and challenging problem can be solved using specialized technique which could thoroughly search the solution space and locate the best optimal set of solutions. The proposed CSCVC technique generates good quality solutions by implementing three interacting search operators, namely horizontal, vertical and Comprehensive crossover stages. To prove the superiority of the proposed technique numerical simulations are performed on 6, 10, and 14 Units test systems. The numerical results are compared with other existing methods in the literature and it is shown that the proposed CSCVC technique outperforms the other methods in terms producing minimum cost and emission.
引用
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页码:131 / 140
页数:10
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