A Fractional-Order Archimedean Spiral Moth–Flame Optimization Strategy to Solve Optimal Power Flows

Author:

Wadood Abdul12,Ahmed Ejaz34,Rhee Sang Bong5,Sattar Khan Babar4

Affiliation:

1. Renewable Energy and Environmental Technology Center, University of Tabuk, Tabuk 47913, Saudi Arabia

2. Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia

3. Department of Electrical Engineering, Air University Islamabad, Aero Space and Aviation Campus Kamra, Attock 43570, Pakistan

4. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan

5. Department of Electrical Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan 38541, Republic of Korea

Abstract

This research utilizes the innovative fractional-order Archimedean spiral moth–flame optimization (FO-AMFO) technique to address the issues of the optimal reactive power dispatch (ORPD) problem. The formulated fitness function aims to minimize power losses and determine the ideal flow of reactive power for the IEEE 30- and 57-bus test systems. The extensive functions of the fractional evolutionary computing strategy are utilized to address the minimization problem of ORPD. This involves determining the control variables, such as VAR compensators, bus voltages, and the tap setting of the transformers. The effective incorporation of reactive compensation devices into traditional power grids has greatly reduced power losses; however, it has resulted in an increase in the complexity of optimization problems. A comparison of the findings indicates that swarming fractional intelligence using FO-AMFO surpassed the state-of-the-art competitors in terms of minimizing power losses.

Publisher

MDPI AG

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