A Mixed WLS Power System State Estimation Method Integrating a Wide-Area Measurement System and SCADA Technology

作者：Jin, Tao^*; Shen, Xueyu

来源：Energies, 2018, 11(2): 408.

DOI：10.3390/en11020408

• power system
• state estimation
• wide-area measurement system
• weighted least squares
• mixed algorithm

To address the issue that the phasor measurement units (PMUs) of wide area measurement system (WAMS) are not sufficient for static state estimation in most existing power systems, this paper proposes a mixed power system weighted least squares (WLS) state estimation method integrating a wide-area measurement system and supervisory control and data acquisition (SCADA) technology. The hybrid calculation model is established by incorporating phasor measurements (including the node voltage phasors and branch current phasors) and the results of the traditional state estimator in a post-processing estimator. The performance assessment is discussed through setting up mathematical models of the distribution network. Based on PMU placement optimization and bias analysis, the effectiveness of the proposed method was proved to be accurate and reliable by simulations of different cases. Furthermore, emulating calculation shows this method greatly improves the accuracy and stability of the state estimation solution, compared with the traditional WLS state estimation.

• 出版日期2018-2
• 单位福州大学