Reconfiguration of distribution networks considering high penetration of renewable energy: an application of the QPSO algorithm

Abstract The increasing variety of distributed generation (DG) types introduces significant power fluctuations and uncertainties when integrated into the distribution network. This imposes significant challenges in ensuring the stability and safety of the power system. Flexible configuring the distribution network’s topology can reduce active power losses and improve node voltage levels. However, traditional heuristic algorithms often fall short when addressing the reconfiguration of distribution networks with multiple DG types. In this paper, an enhanced Quantum Particle Swarm Optimization (QPSO) algorithm is proposed for optimizing active power losses and minimizing node voltage deviations in the distribution network. Simulations conducted using the modified IEEE 33-node system as a case study demonstrate that the proposed algorithm effectively reconfigures distribution networks with various DG types. It significantly reduces network losses, enhances node voltage levels, and achieves high computational accuracy.