摘要
传统的电力系统状态估计方法具有严格的数学前提。为了提出更通用的状态估计方法,该文建立了遥信的广义信道模型,给出了遥信的信息损失计算式,发展了最小信息损失状态估计理论。将遥测和遥信在信息空间上统一建模,得到了潮流和拓扑统一估计的通用理论和方法,可以充分利用遥测和遥信等混合数据中所蕴含的信息量,对电网潮流和网络拓扑实施同步估计,并取消了传统状态估计必须保证拓扑正确的数学前提,为拓扑错误辨识提供了严格的数学基础。
Several strict mathematical premises should hold for traditional methods of power system state estimation. In order to propose a more general method for power system state estimation, the minimum information loss （MIL） based state estimation method is proposed and generalized. In the paper, generalized information channel is built for modeling remote-digital, and formulas for calculating of information losses of remote-digital are derived. Then both of the remote-analogue and remote-digital are modeled together in the information space, and a unified estimation method for power flow and topology is proposed. Information contained in hybrid data including remote-analogue and remote-digital can be used synthetically by the proposed method. As a result, power flow and topology can be estimated synchronously, and the premise of requirement of correct topology for traditional state estimation method is eliminated, which presents a rigorous mathematic foundation for study on topology error identification.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第17期1-4,共4页
Proceedings of the CSEE
基金
国家自然科学基金项目(50107005)~~
关键词
电力系统
状态估计
拓扑错误辨识
数据融合
数学基础
信息理论
能量管理系统
Power system
State estimation
Topology error identification
Data fusion
Mathematic foundation
Information theory
Energy management system
