Multi-objective optimization for upgrading primary feeders with distributed generators from normally closed loop to mesh arrangement

Abstract

This paper presents a multi-objective evaluation approach for finding the optimal schemes for upgrading primary feeders with distributed generation resources (DGs) from normally closed loop to a mesh arrangement. To build a DG-friendly distribution system for the development of DGs, a genetic algorithm (GA) based approach has been proposed to solve this multi-objective optimization problem. The major objectives include improving the average voltage deviations, minimizing the total line losses and maximizing the possible installed capacity of DGs. Based on the given total installation capacity and location for DGs, two distinct planning strategies are discussed. The results show that the proper schemes for utilizing additional feeders are important to improve the voltage profile along feeders, to reduce the system power losses and maximize the possible installed capacity of DGs. The outcomes are of value to the upgrades and expansions of primary distribution systems and the implementation of sustainable development of renewable energy.