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风电大规模接入电力系统,电力系统运行计划需要充分的考虑风电不确定性.该文提出考虑风电时空相关性的仿射可调鲁棒机组组合.采用椭球不确定集合描述风电功率的时空相关特性,基于仿射策略,构建鲁棒机组组合模型,并将所建模型转化为混合整数二阶锥规划模型进行求解.针对鲁棒优化可能过于保守的问题,依据解的可行概率与集合参数的关系,确定合适的集合参数,从而保证运行计划对于随机风电波动的鲁棒性以及经济性.最后,在IEEE 118节点系统上进行测试,考察了风电时空相关性对系统运行的影响.与传统备用容量法对比,验证了所提方法的经济性和鲁棒性.“,”With a large scale of integrated wind power,the dispatch scheme of power systems should cope with the uncertainty of wind power carefully.Considering the spatiotemporal correlation of wind power,an affinely adjustable robust unit commitment was proposed.Ellipsoidal uncertainty set was adopted to well represent the spatiotemporal correlation of wind power.The robust unit commitment model was built using affine policies and was transformed into mixed integer second order cone programming.Based on the relationship between the parameter of the uncertainty set and probabilistic guarantees on the feasibility,the parameter of the uncertainty set was tuned appropriately to avoid over-conservatism and strike the balance between economy and robustness against stochastic wind power.Finally,the impact of spatiotemporal correlation of wind power on system operation was investigated on the IEEE 118-bus system.The proposed method is compared with tradition unit commitment with reserves and simulation results verify the robustness and economy of the proposed dispatch scheme.