Parameter error identification and estimation in power system state estimation

Network parameter errors can severely impact the quality of state estimation solutions and degrade the usefulness of advanced applications in an energy management system (EMS). An efficient and effective algorithm is needed to estimate the network parameters. In this paper, a practical algorithm that uses real-time measurements to estimate parameter errors is proposed. The algorithm consists of a sensitivity based error identification approach and a weighted least square (WLS) estimation. It can be easily incorporated into any state estimation package. The algorithm has been implemented In the PG&E EMS and tested using the real-time data. Test results are very promising