Abstract
Greenhouse gas emissions and fossil fuel shortages have led to an increasing trend in the utilization of renewable resources. Due to the variable nature of these sources, new challenges have arisen in the daily operation of power systems. To cover these challenges, it is essential to increase the flexibility of power systems. Electrical vehicle parking lots (EVPLs) and demand response (DR) are introduced as two important solutions to provide a more flexible power system. To this end, this paper proposes a transmission constrained unit commitment based on AC power flow model (AC-TCUC) to minimize the daily cost of the integrated power system with EVPL, incentive-based DR and wind power. Additionally, an information gap decision theory (IGDT)-based robust approach is applied to handle the uncertainty of wind power production as a bi-level optimization problem with no need for probability distribution function (PDF). Numerical results illustrate the impact of EVPL and DR technologies on system operation cost reduction and the uncertainty of wind power.