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Optimal Sizing and Placement of Series Capacitors in Distribution Networks Using Modified Elephant Herding Optimization Algorithm

Document Type : Research article

Authors

Department of Electrical and Electronic Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Abstract

The optimal size and location of series capacitors is a critical challenge in a distribution network. In this paper, a novel approach for enhancing voltage stability in distribution networks through the optimal sizing and placement of series capacitors is proposed. The study introduces a technique to determine the optimal lines for connecting series capacitors based on line reactance and current. A modified Elephant Herding Optimization (MEHO) algorithm was used to determine the reactance sizes of the series capacitors and the best lines to place them for optimum system performance. To evaluate the effectiveness of the proposed method, three series capacitors are placed and sized in the standard IEEE 33-bus radial distribution system for stability enhancement. A comparison is conducted between the proposed MEHO algorithm-based approach, the original Elephant Herding Optimization (EHO) algorithm, and the IGWO-TS-based methods reported in the literature. The evaluation is performed by analyzing the system voltage profile, total system losses, and system voltage deviation index under varying loading conditions of 30%, 100%, and 120% of the system nominal loading. Results demonstrate that the proposed MEHO algorithm-based approach outperforms the other two methods significantly in all the scenarios, highlighting its effectiveness in voltage stability enhancement in distribution networks.

Highlights

  • A new approach has been proposed in this work to optimally place and size series capacitors in electrical power distribution networks to improve system voltage stability based on a Modified Elephant Herding Optimization (MEHO) algorithm.
  • The matriarch updating operator and the separation updating operator have been enhanced to improve the robustness and efficiency of the conventional EHO.
  • The impact of optimal series capacitor placement in radial distribution networks has been shown.
  • The MEHO algorithm shows the best performance in terms of loss reduction and voltage profile enhancement in the IEEE 33 radial distribution network when compared to the original EHO and an Improved Grey Wolf Optimization algorithm and Tabu Search.

Keywords

Main Subjects

References
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Journal of Applied Research in Electrical Engineering
Volume 2, Issue 2
Summer and Autumn 2023
July 2023
Pages 173-181
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History
  • Receive Date: 16 August 2023
  • Revise Date: 28 November 2023
  • Accept Date: 01 December 2023
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