Multi-objective Grasshopper Optimization Algorithm based Reconfiguration of Distribution Networks

Document Type : Research paper

Authors

1 Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran.

2 Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran

3 Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.

Abstract

Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. The optimization problem is solved by multi-objective grasshopper optimization algorithm (MOGOA) which is one of the most modern heuristic optimization tools. To solve an optimization problem, the suggested algorithm mathematically mimics and formulates the behavior of grasshopper swarms. The modifying comfort zone coefficient needs grasshoppers to balance exploration and exploitation, which helps the MOGOA to find an exact approximation of global optimization and not trapped in local optima. The efficiency of the suggested technique is approved regarding the 33-bus and 69-bus test systems. Optimization results expressed that the suggested technique not only presents the intensified exploration ability but also has a better solution compared with previous algorithms.

Keywords

Main Subjects

References

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Journal of Operation and Automation in Power Engineering
Volume 7, Issue 2
October 2019
Pages 148-156

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History

  • Receive Date: 06 March 2019
  • Revise Date: 30 May 2019
  • Accept Date: 13 June 2019
  • First Publish Date: 01 October 2019

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