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Solution of combined economic and emission dispatch problems using galaxy-based search algorithm
Joint Authors
Rahli, M.
Zurayqat, D. Hamzah
Benasla, L.
Belmadani, A.
Source
Issue
Vol. 9, Issue 4 (31 Dec. 2013), pp.468-480, 13 p.
Publisher
Publication Date
2013-12-31
Country of Publication
Algeria
No. of Pages
13
Main Subjects
Earth Sciences, Water and Environment
Topics
Abstract EN
The Galaxy-based Search Algorithm (GbSA) is an optimization technique developed recently by Hamed Shah-Hosseini at Shahid Beheshti University-Iran [1, 2].
GbSA is a meta-heuristic that uses a modified Hill Climbing algorithm as a local search and resembles the spiral arms of some galaxies to search the optimum. In this paper, GbSA is proposed for solving the Combined Economic and Emission Dispatch (CEED) problem under some equality and inequality constraints.
The equality constraints are the active power flow balance equations, while the inequality constraints are the minimum and maximum power output of each unit.
The voltage levels and security are assumed to be constant.
The CEED problem is obtained by considering both the economy and emission objectives.
This bi-objective problem is converted into a single objective function using a price penalty factor. The validity of GbSA is tested on two sample systems and the results are compared to those reported in the recent literature.
The study results are quite encouraging showing the good applicability of GbSA for CEED problem.
American Psychological Association (APA)
Zurayqat, D. Hamzah& Benasla, L.& Belmadani, A.& Rahli, M.. 2013. Solution of combined economic and emission dispatch problems using galaxy-based search algorithm. Journal of Electrical Systems،Vol. 9, no. 4, pp.468-480.
https://search.emarefa.net/detail/BIM-344669
Modern Language Association (MLA)
Zurayqat, D. Hamzah…[et al.]. Solution of combined economic and emission dispatch problems using galaxy-based search algorithm. Journal of Electrical Systems Vol. 9, no. 4 (Dec. 2013), pp.468-480.
https://search.emarefa.net/detail/BIM-344669
American Medical Association (AMA)
Zurayqat, D. Hamzah& Benasla, L.& Belmadani, A.& Rahli, M.. Solution of combined economic and emission dispatch problems using galaxy-based search algorithm. Journal of Electrical Systems. 2013. Vol. 9, no. 4, pp.468-480.
https://search.emarefa.net/detail/BIM-344669
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 479-480
Record ID
BIM-344669