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基于非参数估计的无功电压控制响应规则辨识
引用本文:尤金,刘俊勇,刘友波,刘洋,胥威汀,苟竞.基于非参数估计的无功电压控制响应规则辨识[J].电力系统保护与控制,2018,46(13):1-12.
作者姓名:尤金  刘俊勇  刘友波  刘洋  胥威汀  苟竞
作者单位:四川大学电气信息学院;中国电力工程顾问集团西南电力设计院有限公司;国网四川省电力公司电力经济研究院
基金项目:国家自然科学基金项目资助(51437003)
摘    要:由于传统分析难以准确把握电压、无功之间复杂的非线性关系,使得调压措施给系统节点电压带来的电压偏移模糊不清,导致调压后系统中某些节点电压进一步恶化。且传统电压无功分析依赖于模型建立的精度,其负荷模型建立存在较大难度,因此有必要通过电压对无功的响应数据来研究两者之间的关联关系。提出一种基于Group-Lasso的多场景下电压无功关联度分析方法,挖掘系统负荷水平、无功激励与节点电压之间的函数关系。该方法能准确量化三者间的关联强弱,且所得函数表达式具有较强的泛化能力。通过IEEE 24、IEEE 118节点系统标准算例验证了所提思路与方法的有效性,为今后电压无功关联度分析提供了新的思路。

关 键 词:电力系统  电压无功分析  场景应用  数据挖掘  非参数估计
收稿时间:2017/6/23 0:00:00
修稿时间:2017/10/23 0:00:00

Identification of reactive power and voltage control response rules based on nonparametric estimation
YOU Jin,LIU Junyong,LIU Youbo,LIU Yang,XU Weiting and GOU Jing.Identification of reactive power and voltage control response rules based on nonparametric estimation[J].Power System Protection and Control,2018,46(13):1-12.
Authors:YOU Jin  LIU Junyong  LIU Youbo  LIU Yang  XU Weiting and GOU Jing
Affiliation:School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;Southwest Electric Power Design Institute Co., Ltd.of China Power Engineering Consulting Group, Chengdu 610021, China,School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China,Electric Power Economic and Technological Research Institute of State Grid Sichuan Electric Power Co., Chengdu 610041, China and Electric Power Economic and Technological Research Institute of State Grid Sichuan Electric Power Co., Chengdu 610041, China
Abstract:As traditional analysis is difficult to describe the complex nonlinear affiliation between voltage and reactive power accurately, the voltage offset caused by voltage control is ambiguous, leading to further deterioration of the voltage of some nodes in the system. Also, traditional voltage and reactive power analysis relies on the precision of model, however, there are still many problems in the establishment of load models, so it is necessary to study the correlation between voltage and reactive power by the voltage response data. This paper presents an identification of the relationship between voltage and reactive power in multi-scene based on Group-Lasso to mine the functional relation among load level of the system, reactive power and voltage. The method can quantify different impacts among the three precisely. The validity of the proposed method is verified by standard IEEE 24-bus system and IEEE 118-bus system. It provides a new way for the future analysis of connection between voltage and reactive power. This work is supported by National Natural Science Foundation of China (No. 51437003).
Keywords:electric power system  voltage and reactive power  scene application  data mining  nonparametric estimation
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