Multi-objective backtracking search algorithm for economic emission dispatch problem

•Economic/emission dispatch problem (EED) is solved.•Transmission network loss and valve-point effects are considered.•Multi-objective backtracking search algorithm (MOBSA) is developed.•Weighted sum method (WSM) and non-dominated approach (NDA) are employed.•The proposed method is able to solve EED...

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Bibliographic Details
Published in:Applied soft computing 2016-03, Vol.40, p.479-494
Main Authors: Modiri-Delshad, Mostafa, Rahim, Nasrudin Abd
Format: Article
Language:English
Subjects:
Backtracking search algorithm (BSA)
Economic dispatch
Environmental concerns
Non-convex
Transmission loss
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Summary:•Economic/emission dispatch problem (EED) is solved.•Transmission network loss and valve-point effects are considered.•Multi-objective backtracking search algorithm (MOBSA) is developed.•Weighted sum method (WSM) and non-dominated approach (NDA) are employed.•The proposed method is able to solve EED problems efficiently. This paper presents the application of backtracking search algorithm (BSA) for solving an economic/emission dispatch (EED) problem as a multi-objective optimization problem. BSA is a newly developed evolutionary algorithm with one control parameter to solve numerical optimization problems. It utilizes crossover and mutation operators to advance optimization toward the optimal. The multi-objective BSA developed and presented in this paper uses an elitist external archive to store non-dominated solutions known as pareto front. The problem of EED is also solved by weighted sum method, which combines both objectives of the problem into a single objective. Three test systems are the case studies verifying the effectiveness of BSA. The results are compared with those of other methods in literatures and confirm the high performance of BSA.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2015.11.020