Combined economic and emission dispatch solution using gravitational search algorithm
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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
In this article, the Gravitational Search Algorithm (GSA) has been proposed to find the optimal solution for Combined Economic and Emission Dispatch (CEED) problems. It is aimed, in the CEED problem, that scheduling of generators should operate with both minimum fuel costs and emission levels, simultaneously, while satisfying the load demand and operational constraints. In this paper, the CEED problem is formulated as a multi-objective problem by considering the fuel cost and emission objectives of generating units. The bi-objective optimization problem is converted into a single objective function using a price penalty factor in order to solve it with GSA. The proposed algorithm has been implemented on four different test cases, having a valve point effect with transmission loss and having no valve point effect without transmission loss. In order to see the effectiveness of the proposed algorithm, it has been compared with other algorithms in the literature. Results show that the GSA is more powerful than other algorithms. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
Description
Duman, Serhat/0000-0002-1091-125X; sonmez, yusuf/0000-0002-9775-9835; GUVENC, Ugur/0000-0002-5193-7990
WOS: 000313195600048
WOS: 000313195600048
Keywords
Combined economic and emission dispatch, Gravitational search algorithm, Power systems, Optimization
Journal or Series
Scientia Iranica
WoS Q Value
Q3
Scopus Q Value
Q3
Volume
19
Issue
6
