中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2013年
19期
93-101
,共9页
电能质量%电力扰动%数据分析学
電能質量%電力擾動%數據分析學
전능질량%전력우동%수거분석학
power quality%power disturbance%data analytics
电能质量是发现和处理各种电力扰动问题的研究领域。一直以来,电能质量研究关注电能质量危害的抑制和消除。然而,随着电能质量监测装置的广泛应用,许多学者和工程技术人员逐渐认识到电力扰动本身承载着大量涉及系统和设备运行状态的有用信息。这些信息的应用价值已超出传统电能质量所关注的范围,如故障的定位、运行工况的检测等。实际上,这种趋势正是数据分析学在许多行业兴起的一个缩影。在这里,不妨把这类基于电力扰动数据的研究和应用暂且称作“电力扰动数据分析学”。这个方向正在成为未来智能电网的重要研究领域。论文试图通过对这一新兴研究领域中一系列研究进展的综述,抛砖引玉,唤起学者们在此方向上更广泛的研究兴趣。
電能質量是髮現和處理各種電力擾動問題的研究領域。一直以來,電能質量研究關註電能質量危害的抑製和消除。然而,隨著電能質量鑑測裝置的廣汎應用,許多學者和工程技術人員逐漸認識到電力擾動本身承載著大量涉及繫統和設備運行狀態的有用信息。這些信息的應用價值已超齣傳統電能質量所關註的範圍,如故障的定位、運行工況的檢測等。實際上,這種趨勢正是數據分析學在許多行業興起的一箇縮影。在這裏,不妨把這類基于電力擾動數據的研究和應用暫且稱作“電力擾動數據分析學”。這箇方嚮正在成為未來智能電網的重要研究領域。論文試圖通過對這一新興研究領域中一繫列研究進展的綜述,拋磚引玉,喚起學者們在此方嚮上更廣汎的研究興趣。
전능질량시발현화처리각충전력우동문제적연구영역。일직이래,전능질량연구관주전능질량위해적억제화소제。연이,수착전능질량감측장치적엄범응용,허다학자화공정기술인원축점인식도전력우동본신승재착대량섭급계통화설비운행상태적유용신식。저사신식적응용개치이초출전통전능질량소관주적범위,여고장적정위、운행공황적검측등。실제상,저충추세정시수거분석학재허다행업흥기적일개축영。재저리,불방파저류기우전력우동수거적연구화응용잠차칭작“전력우동수거분석학”。저개방향정재성위미래지능전망적중요연구영역。논문시도통과대저일신흥연구영역중일계렬연구진전적종술,포전인옥,환기학자문재차방향상경엄범적연구흥취。
Power quality is a field that deals with all sorts of power disturbances. Past power quality research and development activities have been focused on the harmful aspects of the disturbances. With the wide spread use of power quality monitoring tools, more and more users and developers start to realize that power disturbances can carry valuable information about the conditions of a system and its equipment. As a result, initiatives that explore the “useful” aspects of power disturbances have emerged. For example, short-circuit caused voltage sag disturbances have been exploited for fault location purposes and characteristics of capacitor-switching transients are used to determine which feeder capacitors are operating normally. Such “positive” use of power disturbance data and monitoring techniques is becoming an important field of the future smart grid. This field is also closely related to the massive trend of “data analytics” research, development and application. Here we may call the field“power disturbance data analytics”. The objective of this paper is to present some of the example developments in this emerging field. We hope this survey/review paper will help to stir up broader research interests in the field and serves as a step stone for power quality researchers.