Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.enconman.2010.08.016
Title: An Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms
Authors: Yadav, P. 
Kumar, R. 
Panda, S.K. 
Chang, C.S. 
Keywords: Cubic spline interpolation
Genetic algorithm
Harmony Search (HS)
Meta-heuristic
Particle Swarm Optimization (PSO)
Specific fuel consumption (SFC)
Issue Date: Feb-2011
Source: Yadav, P., Kumar, R., Panda, S.K., Chang, C.S. (2011-02). An Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms. Energy Conversion and Management 52 (2) : 893-902. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enconman.2010.08.016
Abstract: Harmony Search (HS) algorithm is music based meta-heuristic optimization method which is analogous with the music improvisation process where musician continue to polish the pitches in order to obtain better harmony. The paper focuses on the optimal scheduling of the generators to reduce the fuel consumption in the oil rig platform. The accurate modeling of the specific fuel consumption is significant in this optimization. The specific fuel consumption has been modeled using cubic spline interpolation. The SFC curve is non-linear and discrete in nature, hence conventional methods fail to give optimal solution. HS algorithm has been used for optimal scheduling of the generators of both equal and unequal rating. Furthermore an Improved Harmony Search (IHS) method for generating new solution vectors that enhances accuracy and convergence rate of HS has been employed. The paper also focuses on the impacts of constant parameters on Harmony Search algorithm. Numerical results show that the IHS method has good convergence property. Moreover, the fuel consumption for IHS algorithm is lower when compared to HS and other heuristic or deterministic methods and is a powerful search algorithm for various engineering optimization problems. © 2010 Elsevier Ltd. All rights reserved.
Source Title: Energy Conversion and Management
URI: http://scholarbank.nus.edu.sg/handle/10635/55023
ISSN: 01968904
DOI: 10.1016/j.enconman.2010.08.016
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