Multi-objective optimization for improved efficiency and reliability in renewable-integrated distribution networks

This paper presents a comprehensive approach to optimize the layout of distribution networks in the presence of scattered renewable production sources. The study focuses on simultaneously optimizing the location and capacity of distributed production units, alongside determining the most optimal network arrangement. The objectives of the optimization process are to reduce power losses and improve network reliability. To address this complex problem, a multi-objective particle swarm optimization (MOPSO) algorithm is employed. The proposed method is evaluated using the IEEE 33 bus standard system as a test case. The optimization process incorporates two primary objective functions: loss reduction and network reliability improvement. By utilizing MOPSO, a collection of Pareto solutions is obtained, and the best option is selected based on the trade-off between loss reduction and network reliability enhancement. The results showcase the accuracy and efficiency of the proposed method in determining the optimal layout of distribution networks while integrating renewable production sources. By simultaneously optimizing the location, capacity, and network arrangement, the method demonstrates significant improvements in reducing power losses and enhancing network reliability.