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基于N-x不确定集的含可中断负荷鲁棒优化调度 被引量:5

Robust Optimal Scheduling with Interruptible Load Based on N-x Uncertainty Set
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摘要 可中断用户响应的不确定性会使电力公司面临调度成本不确定以及负荷削减量不足等风险,且不同用户违约风险具有差异性。针对用户响应调度指令概率不同的问题,在基本可中断合同的基础上引入保险合同,引导用户选择最贴近其真实可靠性水平的保单信誉度。以用户保单信誉度为基础,定义故障概率参数,构建基于用户响应概率的N-x不确定集,建立计及用户不确定性的机组与可中断负荷联合调度模型,并通过仿真验证所提方法的有效性。算例分析结果表明,所提N-x不确定集充分考虑可中断用户信誉度的影响,仅考虑发生概率高于设定值的故障情况,运行结果更符合实际。 Response uncertainty of interruptible load(IL)users may leave electricity companies facing risks,such as uncertain scheduling costs and insufficient load reduction,and default risks of different users are not the same.To solve the problem that IL users may respond to the scheduling instructions with different probabilities,an insurance contract is introduced as a complement of the basic interruptible contract.Users are guided to select the policy credibility levels closest to their actual reliability levels.Based on the policy credibility of users,the parameter of fault probability is defined,and the N-x uncertainty set based on response probabilities of users is constructed.A joint scheduling model of unit commitments and IL considering uncertainty of users is established.The effectiveness of the proposed method is verified by simulation.The results of cases show that the impact of the credibility of IL users is fully considered,and the fault conditions that occurrence probability is higher than the set value are uniquely considered in the proposed N-x uncertainty set.The running result is more realistic.
作者 朱兰 姬星羽 唐陇军 杨秋霖 牛培源 ZHU Lan;JI Xingyu;TANG Longjun;YANG Qiulin;NIU Peiyuan(School of Electric Power Engineering,Shanghai University of Electric Power,Shanghai 200090,China;State Grid East China Electric Power Dispatch and Control Sub-center,Shanghai 200120,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2020年第17期34-43,共10页 Automation of Electric Power Systems
基金 国家自然科学基金青年基金资助项目(51807114) 上海市科委项目(18DZ1203200) 上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)资助
关键词 可中断负荷 保险合同 用户信誉度 鲁棒优化 N-k安全约束 interruptible load insurance contract user’s credibility robust optimization N-k security constraint
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