Capacity planning of wind farm to simultaneously optimize hosting capacity and losses in distribution system with electric vehicles

Hosting capacity (HC) is defined as the maximum amount of distributed generation (DG) that a distribution system can accommodate without adversely impacting its reliability and voltage quality. It is imperative to determine HC as increasing penetration of DG may drive the system towards excessive losses and power quality issues. To this end, this work presents a multi-objective optimization model for sizing of wind-based DG in distribution system integrated with controllable plug -in electric vehicles (EVs). The proposed model aims at simultaneously maximizing HC and minimizing energy losses in the system. In addition, impact of three different charging strategies including vehicle to grid on planning of DGs is investigated. The c-constraint method is used to solve multi-objective problem and trade-off optimal solution is obtained using fuzzy satisfying criteria. Moreover, uncertainties associated with wind power generation, load demand and EVs driving pattern is handled using scenario-based technique. To quantify the results obtained from the proposed approach a comparative analysis is conducted under different scenarios. The proposed approach is demonstrated on 33bus radial distribution system. The simulation results highlight efficacy of multi-objective formulation over single-objective formulation.