Dynamic Distribution Network Reconfiguration with Integration of Potential Photovoltaic and Hydrokinetic Sources in Kuching, Sarawak

  • Qi Lim, Jia (Swinburne University of Technology, Sarawak)
  • Hao Kueh, Sze (Swinburne University of Technology, Sarawak)
  • Jun Yung Hee, Alastair (Swinburne University of Technology, Sarawak)
  • Yong Tang, Jason Swee (Swinburne University of Technology, Sarawak)
  • Tavalaei, Jalal (Swinburne University of Technology, Sarawak)
  • NABIPOUR AFROUZI, Hadi (Birmingham City University)

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Dynamic Distribution Network Reconfiguration (DNR) is an hourly operational process that alters switch states to minimize power losses and bus voltage deviations. The integration of distributed generation (DG) sources, such as photovoltaic and hydrokinetic systems, increases the complexity of DNR due to variable voltage profiles and bidirectional power flows. In this study, 24-hour photovoltaic and hydrokinetic generation data from Kuching, Sarawak, are incorporated into a dynamic DNR framework, addressing a key limitation of conventional approaches that typically assume static DG outputs. The IEEE 33-bus distribution system is analyzed using the Binary Particle Swarm Optimization (BPSO) algorithm to identify optimal switch configurations, while power flow calculations are performed using the Newton–Raphson method owing to its fast convergence and high accuracy. Based on hourly variations in DG output and load demand, the proposed dynamic DNR scheme achieves a significant reduction in power losses, with a maximum loss reduction of 50.69% compared to the base case. Furthermore, dynamic DNR consistently outperforms static reconfiguration strategies, demonstrating the substantial operational benefits of dynamic network reconfiguration in distribution systems with high penetration of renewable energy sources.