复杂电能质量关联扰动模式的可拓挖掘方法  

Mining the Associative Patterns of Complex Power Quality Disturbance Using Extenics

作　　者：董海艳[1] 贾清泉[1] 王宁[1] 于浩[1] 

机构地区：[1]电力电子节能与传动控制河北省重点实验室(燕山大学),河北省秦皇岛市066004

出　　处：《中国电机工程学报》2016年第5期1269-1278,共10页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51477147);河北省教育厅资助科研项目(QN2015124)~~

摘　　要：在复杂电网环境下,监测系统检测到的多个电能质量扰动事件可能在因果时空等方面具有关联性。为全面深入解释扰动事件和扰动过程的内在关系,获得更全面的电能质量诊断信息,提出复杂电能质量扰动模式的概念,建立了挖掘电网中可能存在的复杂电能质量扰动模式的方法。根据扰动形成机理,给出4种基本事件关联类型;将可拓学理论引入扰动模式挖掘领域,建立电能质量扰动可拓学模型,构建事件发展相关网、扰动传导蕴含系、因果关系链及时空分层演绎图等4种复杂电能质量扰动模式挖掘方法,给出具体的挖掘步骤和挖掘算例。算例结果表明,提出的可拓学建模方法能够形式化描述电能质量问题及其复杂的逻辑关系,挖掘方法简便直观,可操作性强。In complex power systems, the successively occurred and spatial distributed multiple power quality events may probably have certain correlations. For exploring the inherent relationship among the multiple disturbance events and processes, and obtaining more comprehensive power quality diagnostic information, the term as associative pattern of complex power quality event was presented, and an extenics mining approach was established to discover the potential associative patterns of complex power quality events that may exist in a given power network. Firstly, four associative types of basic event were given according to the forming principle of the disturbance. Secondly, extenics theory was introduced into the field of the mining associative patterns of complex power quality disturbance. Extenics model of power quality was established, and four kinds of mining methods, which are correlation network of event development, implication system of disturbance conduction, relation chain of causal logic and layered spatial and temporal interpretation diagram, were established. Finally, specific mining steps and case studies were provided. The study results show that the proposed modeling method of extenics can describe the power quality problems and complex logic relationship by formalized way, and the mining method is simple, intuitive and easy to operate.

关 键 词：电能质量 复杂扰动 关联性 扰动模式挖掘 可拓学 

分 类 号：TM72[电气工程—电力系统及自动化]