Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Enhancing Power Quality in Distribution Networks Integrated with Distributed Generation Sources Using MOPSO and Soft Open Points (SOPs)

Document Type : Original Research

Authors
Raham Nazavar 1
Reza Ghanizadeh 2
1 Department of Electrical Engineering, Ur.C, Islamic Azad University
2 Department of Electrical Engineering, Ur.C, Islamic Azad University, Urmia, Iran
10.30511/pcdp.2025.2059172.1021
Abstract
This paper introduces a novel approach to improving voltage profiles in a 22-bus radial distribution network by integrating distributed generation (DG) sources with advanced optimization techniques. By leveraging multi-objective particle swarm optimization (MOPSO) alongside soft open points (SOP) devices, this study effectively reduces power losses, total harmonic distortion (THD), and voltage imbalance. The proposed method not only optimizes the allocation and sizing of DG units but also strategically deploys SOP devices to enhance operational flexibility. Simulation results conducted in MATLAB environment demonstrate that the integration of SOPs significantly improves the overall voltage profile, minimizes active power losses, and substantially reduces THD levels across the network. Furthermore, the coordinated optimization approach enhances the resilience and stability of the distribution system under varying load conditions. The improvement in power quality indices, including voltage regulation and harmonic performance, highlights the practical viability and technical effectiveness of combining MOPSO optimization techniques with SOP deployment for resilient and efficient distribution network management.
Keywords
Soft open points
multi-objective particle swarm optimization
voltage source converters
power loss
voltage unbalance
total harmonic distortion

Subjects

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Power, Control, and Data Processing Systems
Volume 2, Issue 2
Spring 2025
Pages 20-25

  • Receive Date 28 April 2025
  • Revise Date 05 May 2025
  • Accept Date 06 May 2025
  • First Publish Date 06 May 2025
  • Publish Date 01 June 2025