Title: Quasi-oppositional gravitational search algorithm applied to short term hydrothermal scheduling problems

Authors: Provas Kumar Roy; Chandan Paul

Addresses: Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India ' Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India

Abstract: This paper describes a successful adaptation of the gravitational search algorithm (GSA) and quasi-oppositional GSA (QOGSA) to solve short term hydrothermal scheduling (HTS) problem in power systems. Quasi-oppositional-based learning approach is integrated with GSA to efficiently control the local and global search, such that premature convergence is avoided and global solutions are achieved. Two test systems having non-convex solution spaces are used to validate the proposed QOGSA algorithm. The results obtained through QOGSA, GSA and those of the previous approaches are compared. The outcome of the comparisons reveals the effectiveness of the proposed QOGSA method in terms of solution quality, and computational speed.

Keywords: hydrothermal scheduling; HTS; opposition-based learning; OBL; valve point loading; gravitational search algorithm; quasi-oppositional GSA; QOGSA; optimisation; power systems.

DOI: 10.1504/IJPEC.2015.069437

International Journal of Power and Energy Conversion, 2015 Vol.6 No.2, pp.165 - 185

Received: 18 Nov 2013
Accepted: 19 Jun 2014
Published online: 16 May 2015 *

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