incorporating wind power generation and demand response into security-constrained unit commitment

Wind generation with an uncertain nature poses many challenges in grid integration and secure operation of power system. one of these operation problems is the unit commitment. demand response (dr) can be defined as the changes in electric usage by end-use customers from their normal consumption patterns in response to the changes in the price of electricity over time. further, dr can be also defined as the incentive payments designed to induce lower electricity use at the times of high wholesale market prices or when system reliability is jeopardized. this paper presents a novel approach for incorporating stochastic wind power generation and dr with security-constrained unit commitment (scuc) for improving the security and economic operation in power systems. dr is one of the methods of managing the economic filed in unit commitment. demand includes the fixed and responsive loads, and the volatile nature of wind power is modeled. responsive loads can be curtailed or shifted to another off peak hours. the combination of wind power generation and dr to scuc problem makes a large scale optimization problem which needs a heavy mathematical computation and time consuming process. so, benders decomposition technique is applied to reduce the volume of the computation and problem complexity. to reach a fast approach, a proposed statistical and probabilistic method for omitting infeasible terms is used. numerical simulation and final results on a modified ieee 6- and 118-bus systems show the performance and effectiveness of the proposed approach.