An approach for increasing wind power penetration in deregulated power systems

Wind power generations as a renewable source of energy have recently gone under the spotlight of policy markets and energy providers. however, the technical constraints, production variability, and uncertainty of wind power have limited its extensive integration into power systems. having these limitations in mind, the present paper sets a new methodology for increasing wind power integration in deregulated electricity market. the proposed method is presented with the consideration of voltage stability assessment and wind power uncertainties. our plan aims at maximizing social welfare and minimizing investment and annual operation cost. at the same time, we seek to overcome line constraint by taking wind uncertainties into account. in order to fulll the aims, facts devices and price sensitive loads are utilized. on the other hand, a multi-objective optimization problem is used to evaluate the annual costs and outcomes of wind power investment, the optimal setting of facts devices, and optimal load shedding. expected security cost optimal power flow (escopf) is used to minimize the expected total cost of system operation. to solve the proposed planning problem, non-dominated sorting genetic algorithm (nsga-ii) is exploited. our proposed method has been applied to an ieee30 bus test system by considering two wind scenarios. the simulation results demonstrate the eciency of the proposed planning.