Adjustable Uncertainty Set Constrained Unit Commitment With Operation Risk Reduced Through Demand Response
Adjustable Uncertainty Set Constrained Unit Commitment With Operation Risk Reduced Through Demand Response
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DOI：
10.1109/tii.2020.2979215
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发表时间：
2021-02
影响因子：
12.3
通讯作者：
Yuefang Du;Yuanzheng Li;C. Duan;H. Gooi;Lin Jiang
中科院分区：
文献类型：
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作者：
Yuefang Du;Yuanzheng Li;C. Duan;H. Gooi;Lin Jiang
针对机组组合中可再生能源的不确定性问题，提出了一种可调不确定性集的处理方法。需求响应（DR）的协同优化，以减少负荷削减和RE削减的操作风险时，RE福尔斯落在可调的不确定性集。与现有的方法相比，与可调的不确定性集，所提出的方法进一步纳入DR不需要预定义的参数来约束从预测RE的偏差。该方法将最大不确定度集划分为若干子区间，并在子区间内确定可调不确定度集的界，同时考虑DR对降低操作风险的作用。将UC调度的混合整数非线性问题转化为混合整数线性问题进行有效求解。在IEEE 6节点、30节点和300节点系统上验证了该方法的性能。通过与现有方法的比较，验证了该方法在降低保守性方面的有效性。最后，通过比较有无DR的运行情况，验证了该方法在降低切负荷和切RE运行风险方面的有效性。
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.