CAJ | 학술논문

传统的状态估计把量测方程作为约束条件,以量测残差的加权平方和或加权绝对值之和最小等为目标函数进行估计,因而不能直接辨识出拓扑错误.为了同时辨识拓扑错误和不良数据,文中把转移潮流方程增广为状态估计的约束条件,在目标函数中同时计及转移潮流的残差和量测残差,对已有的加权最小绝对值状态估计进行了改进,提出了可以同时辨识支路拓扑错误和不良数据的状态估计模型.文中给出了某省实际电网的计算实例.
전통적상태고계파량측방정작위약속조건,이량측잔차적가권평방화혹가권절대치지화최소등위목표함수진행고계,인이불능직접변식출탁복착오.위료동시변식탁복착오화불량수거,문중파전이조류방정증엄위상태고계적약속조건,재목표함수중동시계급전이조류적잔차화량측잔차,대이유적가권최소절대치상태고계진행료개진,제출료가이동시변식지로탁복착오화불량수거적상태고계모형.문중급출료모성실제전망적계산실례.
The objective functions of traditional state estimation are to get the weighted least squares of the residual sum or the weighted least absolute value of the residual sum and so on, constrained by measurement function, thus could not identify topology error directly. In order to identify topology error and bad data at the same time, this paper extends the transfer power flow function as constraints, while taking account of the residual of transfer power flow as well as the measurement residual in the objective function. By improving the existing weighted least absolute value state estimation, a new state estimation model is proposed for identifying the topology error and bad data simultaneously. Its performances are highlighted via simulations performed on a real provincial power network.