Optimal Planning and Allocation of DER in Radial Distribution Networks Using IPSO

This paper presents a novel framework for the optimal integration of Distributed Energy Resources (DER) into radial distribution networks. Employing an Improved Particle Swarm Optimization (IPSO)-based strategy, the proposed approach addresses the challenges of DER planning by considering temporal variations in energy generation and demand. The bi-level optimization framework was implemented in MATLAB, resulting in efficient capacity sizing and strategic allocation of DER components. This led to significant economic advantages, including a 56.3% reduction in total costs, and technical benefits, such as a 68.16% decrease in power losses. Voltage profile analysis demonstrates improved network performance. This comprehensive solution contributes to a more reliable and sustainable energy system, highlighting the potential of DER integration for economic viability and enhanced operational efficiency.