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作 者:赵天阳 张华君 徐岩 王鹏[2] ZHAO Tianyang;ZHANG Huajun;XU Yan;WANG Peng(Energy Research Institute,Nanyang Technological University,Singapore 639798,Singapore;School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798,Singapore)
机构地区:[1]南洋理工大学能源研究院,新加坡639798 [2]南洋理工大学电气与电子工程学院,新加坡639798
出 处:《电力系统自动化》2021年第3期49-57,共9页Automation of Electric Power Systems
摘 要:为解决飓风来临前路径不确定时输电线路随机故障等带来的难题,提出了适用于含云计算数据中心的电网韧性增强日前调度策略,并将其构建为两阶段风险规避的分布鲁棒优化问题。以飓风对输电线路的时空影响为出发点,采用蒙特卡洛模拟获得飓风路径不确定时线路的离散故障集合,并构建基于L1距离度量的分布鲁棒模糊集合。然后,在日前调度中,对机组和数据中心进行优化以平衡经济性和电网韧性,并采用追索问题量化其对日间调度的影响,形成两阶段优化问题。随后,对优化问题进行确定性转换与解耦求解。最后,以含4个数据中心的IEEE-RTS系统为测试算例,验证了所提韧性增强策略应对模糊不确定性的有效性。To manage the possible transmission line failures under uncertain hurricane tracks before its advent,a day-ahead resilience-enhanced scheduling scheme is proposed for power systems with cloud computing data centers.The scheme is formulated as a two-stage risk aversion distributionally robust optimization problem.Considering the spatial and temporal impacts of hurricanes on transmission lines,a discrete line failure set is generated by the Monte-Carlo simulation scheme,in which the hurricane path uncertainty is considered.This set is further formulated as a distributionally robust ambiguity set using L1 norm distance.In the day-ahead scheduling,the generators and data centers are scheduled to balance the operational efficiency and resilience,considering the impacts of day-ahead scheduling on intra-day scheduling,which is formulated as a recourse problem,and resulting in a two-stage optimization problem.It is reformulated to its robust counterpart and solved by decomposition algorithms.Finally,simulations are conducted on a modified IEEE reliability test system with 4 data centers,and the results verify the effectiveness of the proposed resilience-enhanced strategy in addressing the ambiguity uncertainty.
关 键 词:韧性 云计算数据中心 任务迁移 飓风路径 分布鲁棒优化 日前调度
分 类 号:TP308[自动化与计算机技术—计算机系统结构] TM73[自动化与计算机技术—计算机科学与技术]
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