A stochastic framework for the grid integration of wind power using flexible load approach

• This paper focuses on the potential of Demand Response Programs (DRPs) to contribute to flexibility.
• A stochastic network constrained unit commitment associated with DR is presented.
• DR participation levels and electricity tariffs are evaluated on providing a flexible load profile.
• Novel quantitative indices for evaluating flexibility are defined to assess the success of DRPs.
• DR types and customer participation levels are the main factors to modify the system load profile.

Wind power integration has always been a key research area due to the green future power system target. However, the intermittent nature of wind power may impose some technical and economic challenges to Independent System Operators (ISOs) and increase the need for additional flexibility. Motivated by this need, this paper focuses on the potential of Demand Response Programs (DRPs) as an option to contribute to the flexible operation of power systems. On this basis, in order to consider the uncertain nature of wind power and the reality of electricity market, a Stochastic Network Constrained Unit Commitment associated with DR (SNCUCDR) is presented to schedule both generation units and responsive loads in power systems with high penetration of wind power. Afterwards, the effects of both price-based and incentive-based DRPs are evaluated, as well as DR participation levels and electricity tariffs on providing a flexible load profile and facilitating grid integration of wind power. For this reason, novel quantitative indices for evaluating flexibility are defined to assess the success of DRPs in terms of wind integration. Sensitivity studies indicate that DR types and customer participation levels are the main factors to modify the system load profile to support wind power integration.