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Solving electrical power system problems by harmony search: a review

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Abstract

Today, electric power plays a highly significant role in the development of various sectors of the countries. Most often, power system optimization problems have non-linear and non-convex objective functions with intense equality and inequality constraints along with various types of decision variables (continuous, discrete and integer). As modern electrical power systems become more complex, planning, operation and control of such systems using traditional methods face increasing difficulties. Owing to the ability of escaping local optima, meta-heuristic optimization algorithms can be efficient alternatives to solve power system optimization problems. Inspired by the improvisation process of music, harmony search (HS) algorithm is a meta-heuristic search method which has received a considerable attention to solve different power system optimization problems. HS has simple concept, is easy to implement, converges rapidly to the solution and has high efficiency. In this paper, technical literature about HS applied to power system optimization problems is reviewed. This review will enable the researchers to open the mind to explore possible applications in this field as well as beyond this area.

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Acknowledgments

The author would like to thank from the editor and reviewers for their helpful and constructive comments. Their comments have greatly improved the quality of the paper.

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Authors and Affiliations

  1. Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

    Alireza Askarzadeh

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  1. Alireza Askarzadeh
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Correspondence to Alireza Askarzadeh.

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Askarzadeh, A. Solving electrical power system problems by harmony search: a review. Artif Intell Rev 47, 217–251 (2017). https://doi.org/10.1007/s10462-016-9480-z

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