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作 者:Lidong Yi Maosheng Ding Jili Wang Gao Qiu Fei Xue Ji'ang Liu Yuxiong Huang Gengfeng Li Junyong Liu
机构地区:[1]State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan,China,and M.Ding is also with State Grid Ningxia Electric Power Research Institute,Yinchuan,China [2]Northwest Branch,State Grid Corporation of China,Xi’an,China [3]School of Electrical Engineering,Sichuan University,Chengdu,China [4]State Grid Ningxia Electric Power Research Institute Yinchuan,Yinchuan,China [5]School of Electrical Engineering,Xi’an Jiaotong University,Xi’an,China [6]IEEE
出 处:《Journal of Modern Power Systems and Clean Energy》2024年第2期547-560,共14页现代电力系统与清洁能源学报(英文)
基 金:supported in part by State Grid Corporation of China Project“Research on high penetrated renewable energy oriented intelligent identification for curtailment impacts and aid decision-making for promoting consumption in regional power grids”(No.5108-202135035A-0-0-00).
摘 要:To secure power system operations,practical dispatches in industries place a steady power transfer limit on critical inter-corridors,rather than high-dimensional and strong nonlinear stability constraints.However,computational complexities lead to over-conservative pre-settings of transfer limit,which further induce undesirable and non-technical congestion of power transfer.To conquer this barrier,a scenario-classification hybrid-based banding method is proposed.A cluster technique is adopted to separate similarities from historical and generated operating condition dataset.With a practical rule,transfer limits are approximated for each operating cluster.Then,toward an interpretable online transfer limit decision,costsensitive learning is applied to identify cluster affiliation to assign a transfer limit for a given operation.In this stage,critical variables that affect the transfer limit are also picked out via mean impact value.This enables us to construct low-complexity and dispatcher-friendly rules for fast determination of transfer limit.The numerical case studies on the IEEE 39-bus system and a real-world regional power system in China illustrate the effectiveness and conservativeness of the proposed method.
关 键 词:Transfer limit transfer capability power transfer inter-corridor cluster cost-sensitive learning BANDING power system operation
分 类 号:TM73[电气工程—电力系统及自动化]
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