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机构地区:[1]Hebei Provincial Collaborative Innovation Center of Transportation Power Grid Intelligent Integration Technology and Equipment,Shijiazhuang Tiedao University,Shijiazhuang 050043,China [2]School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China [3]School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China
出 处:《Journal of Modern Power Systems and Clean Energy》2024年第6期2081-2090,共10页现代电力系统与清洁能源学报(英文)
摘 要:The rapid development of the power system re-quires high reliability and real-time situational awareness of power equipment.The current agent-based condition-monitor-ing perception mode is not suitable for widely distributed pow-er equipment due to the potential of single-point failure and high communication and data costs.Therefore,the technical de-velopment path of the power equipment perception mode is ana-lyzed based on the development trend of the future power sys-tem.The concept of intelligent power equipment(IPE)is intro-duced,which combines online sensing,data mining,remote communication,and primary and secondary fusion technologies to develop an intelligent object that can realize autonomous situ-ational awareness.IPE can actively interact with the control center and operation and maintenance(O&M)personnel ac-cording to its situation.This gives the power company an effi-cient and comprehensive perception of the equipment.Then,based on the actual situation of the power grid and emerging technology research directions,the challenges faced by each key technology supporting IPE and the corresponding technology enhancement solutions are presented.In addition,the O&M method applicable to IPE is discussed,which achieves proactive maintenance and prognosis management through autonomous equipment perception.Finally,the feasibility and effectiveness of IPE are verified by the performance of current IPE applica-tions in an actual powergrid.
关 键 词:Intelligent power equipment perception mode data mining primary and secondary fusion situational awareness
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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