电力系统自动化2018，Vol.42Issue(2)：34-41,8.DOI:10.7500/AEPS20170830006
计及负荷和调配时间不确定性的防灾应急电源优化配置
Optimal Allocation of Emergency Power Sources Considering Uncertainties of Loads and Dispatching Time Periods
摘要
Abstract
It is crucial to appropriately allocate emergency power sources for reducing the outage cost to the greatest extent in emergency circumstances.Existing publications on emergency power sources are focused on optimal scheduling of emergency power sources in urban areas,while less attention has been paid to reasonable allocations of emergency power sources and the impacts of uncertain load demands and dispatching time periods of emergency power sources caused by some factors such as traffic jam and road damage have not yet been addressed.Given this background,an optimization model for allocating emergency power sources is presented with uncertain load demands and dispatching time periods considered,with an objective of maximizing the social welfare.The well-established radial interval represented by the fluctuation radius for the boundaries of an interval value is employed to more appropriately characterize the uncertainties involved.The optimization model is next transformed into a pessimistic sub-model and an optimistic sub-model for speeding the solving process,and each of the sub-models is then solved by a robust optimization method.Finally,case studies are served for demonstrating the developed model and method for allocating emergency power sources.关键词
防灾应急电源/优化配置/不确定性/区间数/鲁棒优化Key words
emergency power source/optimal allocation/uncertainty/interval value/robust optimization引用本文复制引用
王志奎,孙磊,林振智,文福拴,易仕敏,张宏..计及负荷和调配时间不确定性的防灾应急电源优化配置[J].电力系统自动化,2018,42(2):34-41,8.基金项目
国家自然科学基金资助项目(51377005) （51377005）
国家重点研发计划资助项目(2016YFB0900105 ) （2016YFB0900105 ）
浙江省自然科学基金资助项目(LY17E070003). This work is jointly supported by National Natural Science Foundation of China (No.51377005),National Key R&D Program of China ( No.2016YFB0900105 ), and Zhejiang Provincial Natural Science Foundation of China (No.LY17E070003). （LY17E070003）
