论文标题
使用RTU和PMU测量的电力系统的线性状态估计和不良数据检测
Linear State Estimation and Bad Data Detection for Power Systems with RTU and PMU Measurements
论文作者
论文摘要
在本文中，提出了一种新型的线性算法，以进行状态估计，包括通过常规和同步测量测量来监测的功率系统的不良数据检测。两种类型的数据均同时处理，并且在矩形坐标中估计状态。所提出的估计器基于线性加权最小平方法。为了启用线性测量函数的推导，使用矩形形式的电压和电流对网络进行建模，并使用伪测量来表示代表常规测量。此外，最大的归一化剩余测试用于检测不良数据。为了验证所提出算法的准确性和鲁棒性，求解了几个不同大小的测试用例，并提出和讨论结果。
In this paper, a novel linear algorithm is proposed for state estimation including bad data detection of power systems that are monitored both by conventional and synchrophasor measurements. Both types of data are treated simultaneously and the states are estimated in rectangular coordinates. The proposed estimator is based on the linear weighted least square method. To enable the derivation of linear measurement functions, the network is modelled in terms of voltages and currents in rectangular form and pseudo-measurements are used to represent conventional measurements. Furthermore, the largest normalized residual test is used to detect bad data. To validate the accuracy and robustness of the proposed algorithm, several test cases of different sizes are solved and the results are presented and discussed.
