Scheduling Strategy Based On Demand Response For High Wind Power Integration

Wind power has rapid development in recent years under the requirement of dealing with energy crisis and environmental problems. High penetration of wind power poses great challenges on power system operation due to its uncertainty and intermittency. The issue of wind power integration is increasingly serious. Demand Response (DR) is important interactive resources under smart grid paradigm. DR is gradually becoming an effective approach to integrate wind power as it could be flexibly deployed and follow the system requirement immediately.Scheduling strategies based on DR for wind power integration are discussed in this paper. Firstly, a scheduling mode considering demand side interaction is presented to explore the feasibility of DR on wind power integration. Subsequently, the influence of wind power uncertainty is emphasized. The combination of DR and uncertainty optimization method is investigated and the optimal scheduling strategies for high wind power integration considering the participation of different timescales and kinds of DR are proposed. The main contents are organized as follows.(1) A unit commitment model for high wind power penetration on a day-ahead basis is proposed considering the requirement caused by wind power and the effect of DR on dispatching. The responsive load achieved by time-of-use price program participates in power balance, while interruptible load provides reserve in the model. Besides, an operation simulation on an intra-day basis is presented to estimate the effect of proposed scheduling plan and the role of DR in it, which demonstrates the DR is a feasible way to integrate wind power.(2) A stochastic unit commitment model based on DR for high wind power integration is proposed to analyze the influence of transmission constraints and wind power uncertainty. Meanwhile, a deterministic unit commitment model serves as a contrast. Case study indicates DR can coordinate with different scheduling strategies to mitigate wind power uncertainty and transmission constraints.(3) A unit commitment model considering flexible scheduling incentive-based DR is established based on the coupling relationship of time and electricity. The incentive-based DR can be flexibly dispatched as resources either on day-ahead basis or intra-day basis if the specific response constraints are satisfied. The key factor of flexible scheduling is analyzed and the effectiveness of the proposed model is verified.(4) A two-stage stochastic unit commitment model for high wind power integration is presented considering the complementary relationship between price-based DR and incentive-based DR on characteristic of timescale, flexibility and uncertainty. In the proposed model, both price-based DR on a day-ahead basis and incentive-based DR on an intra-day basis participate in power balance. On this basis, a rolling planning model in an intra-day basis is proposed. The results indicate that the co-optimization of various DR can follow the change of system operating condition to improve the ability of wind power integration.