A risk‐based resilient distribution system planning model against extreme weather events

Due to the accelerated climate change, it is anticipated that number and severity of natural disasters such as hurricanes, blizzards, floods will be increased in coming years. In this regard, paper presents a distribution system planning model improve resilience against hurricane. A scenario-based mathematical proposed capture random nature weather events. Moreover, stochastic optimization developed simultaneously harden lines place different types distributed generation (DG) units microturbines (MTs), wind turbines (WTs), photovoltaic cells (PVs). The conditional value at risk (CVaR) used index manage failure scenarios. problem formulated mixed integer linear programming (MILP) can solved by various commercial solvers. Finally, illustrate effectiveness model, implemented on IEEE 33 bus system, case studies are defined. results show our improving resiliency managing risk.