摘要
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。
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.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2013年第19期93-101,15,共9页
Proceedings of the CSEE
关键词
电能质量
电力扰动
数据分析学
power quality
power disturbance
data analytics
