Multi objective security constrained unit commitment model considering wind power and EVs
Due to the fossil fuel crisis and environment pollution, wind power and electric vehicle are anticipated to play a significant role in the future society. When the amount of wind power and electric vehicles (EVs) increase, it is essential to consider their impacts on power system operations and scheduling generator units. Hence, a multi objective security constrained unit commitment model considering wind power and vehicle to gird (V2G) is proposed in this paper. The lowest operating cost and the lowest pollution emission are our purposes, which can dispose the contradiction between reducing cost and protecting environment. Meanwhile, the load model of EVs is studied based on Monte Carlo simulation method, and the wind power forecasting errors are handled by fuzzy chance constrained program. Numerical simulation was conducted on the IEEE 24 bus system to demonstrate that the synergy between wind power and V2G can promote the utilization of wind power and make the power system operation more eco friendly and economical.
2016 Chinese Control and Decision Conference (CCDC)