Increasing the penetration of variable wind generation in power systems has created some new challenges in the power system operation.In such a situation, the inclusion of flexible resources which have the potential of facilitating wind power integration is necessary.Demand response (DR) programs and emerging utility-scale energy storages (ESs) are known as two powerful flexible tools that can improve large-scale integration of intermittent wind power from technical and economic aspects.Under this perspective, this paper proposes a multi objective stochastic framework that schedules conventional generation units, bulk ESs, pinnoitettu kasari and DR resources simultaneously with the application to wind integration.The proposed formulation is a sophisticated problem which coordinates supply-side and demand-side resources in energy and up/down spinning reserve markets so that the cost, emission, and multi objective functions are minimized separately.
In order to determine the most efficient DR program which can potentially coordinate with bulk ESs rembrandt - acquerello stucco in the system with a significant amount of wind power, a comprehensive DR programs portfolio including time- and incentive-based programs is designed.Afterwards, strategy success index (SSI) is employed to prioritize DR programs from independent system operator (ISO) perspective.The IEEE-RTS is used to reveal the effectiveness of the proposed method.