Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks

This study introduces a heuristic-based approach to allocate static capacitors along radial distribution networks using an accelerated particle swarm optimisation algorithm. In general practice, high potential buses for capacitor placement are initially identified using power loss indices. However, that method has proven less than satisfactory as power loss indices may not always indicate appropriate placement. In the proposed approach, the algorithm identifies optimal sizing and placement and takes the final decision for optimum location within the number of buses nominated. The result is enhancement of the overall system voltage stability index and potential achievement of maximum net savings. Sizing of fixed and switchable capacitors has been considered for different loading conditions. The overall accuracy and reliability of the approach have been validated and tested on radial distribution systems with differing topologies and of varying sizes and complexities. In this study, the results are compared with those obtained using recent heuristic methods and show that the proposed approach is capable of producing high-quality solutions with good performance of convergence and demonstrated viability.