Optimization classification, algorithms and tools for renewable energy: A review

Renewable energy technologies׳ systems are major components of the strategy to reduce harmful emissions and deal with depleting energy resources. It is necessary to deploy renewable energy sources in the best possible way such that cost is minimized and generation is maximized. In this paper, we pre...

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Bibliographic Details
Published in:Renewable & sustainable energy reviews Vol. 39; pp. 640 - 654
Main Authors: Iqbal, M., Azam, M., Naeem, M., Khwaja, A.S., Anpalagan, A.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.11.2014
Elsevier
Subjects:
Algorithms
Applied sciences
Economic data
Electric energy
Energy
Energy economics
Exact sciences and technology
General, economic and professional studies
Methodology. Modelling
Natural energy
Optimization
Renewable energy
Renewable energy
Optimization
Algorithms
Centralized system
Review
Market penetration
Algorithm
Constrained optimization
Decentralized system
Linearity
Technicoeconomic study
Nonlinearity
Distributed generation
Electric power production
ISSN:1364-0321, 1879-0690
Online Access:Get full text
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Summary:Renewable energy technologies׳ systems are major components of the strategy to reduce harmful emissions and deal with depleting energy resources. It is necessary to deploy renewable energy sources in the best possible way such that cost is minimized and generation is maximized. In this paper, we present a review of different optimization methods for deployment and operation of renewable energy sources based generating units. Unlike other existing reviews, we carry out a general review of this research area, without limiting ourselves to any particular issue or geographic location. We examine this area with respect to different types of renewable energy sources, different modes of operations, types of objective functions for optimization and different geographical areas from which research publication are emanating. We present a general resource allocation problem and specify different possibilities for input, output, objective function and constraints. In addition, we review different objectives used in defining the optimization problems. We also present different types of linear and non-linear optimization algorithms used in renewable energy sources. Finally, we review optimization techniques for applications with respect to different end users.
ISSN:1364-0321
1879-0690
DOI:10.1016/j.rser.2014.07.120