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作 者:刘文彦[1] 李欢欢[1] 谭忠富[1] 邓创[2,3] 谭清坤
机构地区:[1]华北电力大学经济与管理学院,北京市102206 [2]四川大学电气信息学院,四川省成都市610065 [3]国网四川省电力公司电力应急中心,四川省成都市610041
出 处:《电力系统自动化》2017年第15期162-169,共8页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(71573084)~~
摘 要:灾情信息侦测作为电力灾害抢修的基础,其信息反馈的准确度直接影响应急准确度抢修的及时性。文中从信息准确度的角度出发,综合考虑应急时间、运输路径与信息准确度约束以及不同类别设备的适用性约束,以应急总成本与预期损失最小化为目标,构建了信息侦测设备储备点选择与储备量优化模型;继而在考虑事故发生后各设备需求点的信息损失基础上构建了相应的设备再调配优化模型。算例结果显示,所提模型在满足电力应急对于侦测阶段信息准确度的要求的基础上,可有效提高设备储备方案应对灾情实际需求波动的弹性适应能力,并可降低设备采购成本。Disaster information detection is the foundation of power emergency repair. The accuracy of information feedback will directly influence the timeliness of power emergency repair. Proceeding from the aspect of information feedback accuracy, emergency repair time, transportation route and the adaptive constraint on different kinds of facilities an optimization model for information detection and storage point selection is developed for minimizing the total cost and expected loss. Then the facility scheduling model considering the information loss of each demand point after the accident is built. The simulation result shows that the models proposed can effectively improve the information detection ability to adapt to the actual demand fluctuation in the power emergency repair, while reducing the facility purchase cost and meeting the requirement on information accuracy in the disaster information detection period. This work is supported by National Natural Science Foundation of China (No. 71573084).
分 类 号:TM73[电气工程—电力系统及自动化]
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