Solving electrical power system problems by harmony search: a review

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• 作者：Alireza Askarzadeh
• 关键词：Power system ; Optimization problems ; Meta ; heuristic ; Harmony search
• 刊名：Artificial Intelligence Review
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：47
• 期：2
• 页码：217-251
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence (incl. Robotics); Computer Science, general;
• 出版者：Springer Netherlands
• ISSN：1573-7462
• 卷排序：47

文摘

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.