• May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 has been indexed by EI (Inspec).   [Click]
  • Aug 01, 2018 News! [CFP] 2020 the annual meeting of IJMO Editorial Board, ECDMO 2020, will be held in Athens, Greece, February 15-17, 2020.   [Click]
  • Sep 30, 2019 News!Vol 9, No 6 has been published with online version. 12 original aritcles from 6 countries are published in this issue.    [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2018 Vol.8(6): 326-333 ISSN: 2010-3697
DOI: 10.7763/IJMO.2018.V8.673

Iterated Local Search Solution for the Non-convex Economic Dispatch Problem

Nabil Nahas, Mohammed Abouheaf, Adel Sharaf, and Wail Gueaieb
Abstract—The objective of the Economic Dispatch problem is to allocate the total power generation to the generating units to meet a given total active-load demand. This problem cannot be solved using the traditional analytical approaches, due to the high non-convexity of the objective cost functions. This work introduces an iterated local search algorithm that employs the great deluge search method to solve the non-convex Economic Dispatch problem. This algorithm has demonstrated efficiency in solving various NP-hard problems but has never been applied to solve the Economic Dispatch problems. The performance of the proposed algorithm is compared to those of other search algorithms using standard benchmarks. The simulation results verified the superior performance of the proposed algorithm compared to the other approaches.

Index Terms—Economic dispatch, valve-point loading effects, non-convex optimization, great deluge algorithm.

N. Nahasis with the Systems Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia (e-mail: nahas@kfupm.edu.sa).
M. Abouheaf and W. Gueaieb are with the School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada (e-mail: mohammed.abouheaf@uottawa.ca, wgueaieb@uottawa.ca).
A. Sharaf is with SHARAF Energy Systems, Inc., Fredericton, New Brunswick, Canada (e-mail: profdramsharaf@yahoo.com).


Cite: Nabil Nahas, Mohammed Abouheaf, Adel Sharaf, and Wail Gueaieb, "Iterated Local Search Solution for the Non-convex Economic Dispatch Problem," International Journal of Modeling and Optimization vol. 8, no. 6, pp. 326-333, 2018.

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