Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions

Roberto Rocchetta, Yanfu Li, Enrico Zio

Abstract: Highlights•Probabilistic risk assessed for distributed generation systems.•Extreme weather conditions are included in simulation and effects are quantified.•Risk based optimization to find optimal distributed generation sizes.•Distributed generation systems are confirmed less risky than the radial system.•Optimized DGs are less risky, especially considering extreme weather conditions.