改进新息图法在地区电网AVC系统中的应用  

An Improved Method of Innovation Graph Approach and Its Application in AVC System for Regional Power Grid

作　　者：林瑞星[1] 杨洪耕[1] 惠锦[1] 

机构地区：[1]四川大学电气信息学院,四川省成都市610065

出　　处：《电力系统自动化》2010年第7期107-111,共5页Automation of Electric Power Systems

摘　　要：新息图法对于坏数据、拓扑变化的辨识有着显著效果。文中针对地区电网的辐射特性,提出了新息图法的分层辨识,建立了厂站层和联络线层新息图模型。当连支出现坏数据时,采用伪量测对其进行修正,避免了传统方法更换连支后需重新生成树的不足;支路预估值的准确程度将影响新息值的准确性,对此利用自动电压控制(AVC)系统潮流验证模块k时刻的在线潮流计算值与测量值的差值ΔP,按系数α对k+1时刻支路预估值进行趋近补偿,补偿后的潮流推算曲线更接近真值,提高了拓扑变化辨识的准确性。将以上改进的新息图法应用于四川省多个地区电网AVC系统,运行效果良好,能准确辨识坏数据和拓扑变化。The innovation graph approach is effective on identification of bad data and topology change.For the radial regional power grid,this paper presents a new hierarchical identification method using innovation graph approach,and establishes innovation graph models for substation and tie-line layers.It uses pseudo-measurement data to revise bad data in link line,which overcomes the lack of rebuilding trees after replacing link line in traditional method.The accuracy of forecasting vector and innovation vector is interrelated. This paper defines the variable ΔP,which can be gained by subtracting measurement data from power flow calculated in power flow checking model of automatic voltage control（AVC） system at the time k,to compensated the forecasting vector at time k＋1 by the rate α.The result is valid that corrected power flow curve after compensation is closer to the true value curve and the accuracy of topology change identification is improved.The proposed method is applied on-line in several regional AVC systems of Sichuan Grid.It proves that the method is effective to identify the bad data and topology change.

关 键 词：自动电压控制(AVC) 地区电网 分层辨识 坏数据 拓扑变化 新息图法 

分 类 号：TM761.12[电气工程—电力系统及自动化]