Transactions on Machine Intelligence

Transactions on Machine Intelligence

Application of the Harmony Search Metaheuristic Algorithm in Distribution Network Optimization with Focus on Reconfiguration and Simultaneous Installation of Distributed Generation Units

Document Type : Original Article

Authors
A. Abdi Farzani 1
R. Roshanfekr 2
1 Master’s Student, Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran
2 Assistant Professor, Department of Electrical Engineering, Hakim Sabzevari University, Sabzevar, Iran
10.47176/TMI.2025.??
Abstract

Distribution network reconfiguration and the optimal utilization of distributed generation (DG) resources are effective methods for reducing losses and improving power quality in electrical distribution systems. In recent years, the use of DG has attracted significant attention due to its notable advantages. Integrating DG can reduce network losses and enhance voltage stability. Furthermore, the use of DG resources contributes to increasing the reliability of the system. Therefore, optimal placement of these resources, combined with appropriate distribution network reconfiguration, can have a substantial impact on overall system performance. In this study, a novel approach for reconstructing the distribution network structure in the presence of DG units is proposed. The primary objective of this approach is to minimize power losses and bus voltage deviations while improving the voltage profile in the distribution system. To achieve these objectives, the Harmony Search Algorithm (HSA), a metaheuristic optimization method, is employed for network reconfiguration and simultaneous identification of optimal DG placement. Additionally, sensitivity analysis is used to determine the most suitable locations for DG installation. The proposed method is tested on a 33-bus radial distribution system to demonstrate its efficiency and effectiveness. The results obtained from this study are satisfactory.
Keywords
Distributed Generation
Distribution Network Reconfiguration
Distribution Network Optimization
Loss Reduction
Harmony Search Algorithm
Transactions on Machine Intelligence
Volume 8, Issue 2
Spring 2025
Pages 81-90

  • Receive Date 11 January 2025
  • Revise Date 03 March 2025
  • Accept Date 29 May 2025