Distributed generation siting and sizing with implementation feasibility analysis

Abstract

This paper addresses the problem of distributed generation siting and sizing optimization with subsequent equipment configuration assessment. The proposed methodology is based on the combination of genetic algorithms and indicative analysis, which gives an opportunity to assess power system interaction with incident infrastructures and take into account technical, economical, regulatory, ecological and other criteria. Two-step algorithm implementation makes the decision process more flexible and comprehensive. The case study is provided for proposed approach verification.