Power distribution network expansion planning to improve resilience

High-impact, low-probability events that cause significant annual damages seriously threaten the health of distribution networks. The effects these have made expansion planning for systems something beyond traditional reliability criteria, so there is an ever-increasing need modifications in current approaches and focusing on resilience new attitude dealing with distributed generation sources networks necessitates a fundamental reconsidering network methods. Here, by modelling common natural disasters such as floods storms, appropriate index introduced to evaluate presence (DG) sources, including conventional gas-fired photovoltaic sources. Then, presenting model load production, problem comprehensive planning, substations, feeders, DG mathematically formulated multi-objective optimization improve optimize costs. Furthermore, non-dominated sorting genetic algorithm used solve comprehensively resilient network. Implementation proposed IEEE 54-bus sample shows can be improved minimum cost optimal planning.