Adjustable Uncertainty Set Constrained Unit Commitment With Operation Risk Reduced Through Demand Response

In this article, the approach of an adjustable uncertainty set is proposed to deal with the uncertainty of renewable energy (RE) in unit commitment (UC). Demand response (DR) is co-optimized to reduce the operation risk of load shedding and RE curtailment when the RE falls out of the adjustable uncertainty set. In comparison with existing approaches with an adjustable uncertainty set, the proposed approach further incorporates DR requires no predefined parameters to constrain the deviation from the forecast RE. It divides the maximum RE set into subintervals, and bounds of the adjustable uncertainty set are determined among these subintervals with the consideration of DR in reducing the operation risk. The original mixed-integer nonlinear problem of UC scheduling is transformed to be a mixed-integer linear problem to be effectively solved. The performance of the proposed approach is verified on the IEEE 6-bus, 30-bus, and 300-bus systems. Through the comparison with existing methods, the effectiveness of the proposed approach in reducing the conservativeness is verified. The effectiveness of the proposed approach in the reduction of the operation risk of load shedding and RE curtailment is verified through the comparison between situations with and without DR.

Automated summary

The proposed approach introduces an adjustable uncertainty set to address uncertainties in renewable energy unit commitment, optimizing demand response to reduce operation risks of load shedding and RE curtailment. Without predefined parameters, it effectively transforms the original mixed-integer nonlinear problem into a mixed-integer linear problem for verification on IEEE systems. By comparing with existing methods, the effectiveness of the proposed approach in reducing conservativeness and operation risks is confirmed.