An Effective Role of Energy Storage System and Demand Response to Improve The PVs Hosting Capacity using Information Gap Decision Theory

摘要

Uncertain PV power generation is a big hurdle in PV Hosting Capacity improvement. Uncertainty of PV power generation is handied optimally by Information Gap Decision Theory (IGDT). IGDT is a best technique to deal with the uncertain data. Energy Storage System (ESS) and Demand Response (DR) program is used here to enhance the PVs Hosting Capacity. The proposed method is designed as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution.