State estimation is a crucial and basic function in energy management systems. The true state of a real power system is unavailable and it is therefore of cardinal importance to assess the reliability of the results from state estimators. Drawbacks of the widely used acceptance rate index are elaborated
and a new index to assess the reliability of state estimation results is proposed
which is based on the consistency rate and mismatches in zero injections. A simple 9-node system is employed to illustrate drawbacks of acceptance rate and advantages of the proposed index. Extensive simulations on a 118-node system have statistically demonstrated the effectiveness of the proposed index. Finally
an instance from actual power systems is used to show the problems of acceptance rate and the practical value of this research.
Distribution Network Restoration Decision Considering Risk of State Estimation Error in Restoration Process
Time-varying Virtual Inertia and State Estimation of Grid-following Converter Based on Maximum Correntropy Criterion and Polynomial Chaos Kalman Filter
Forecasting-aided State Estimation for Distribution Networks Based on Event-triggering Encryption
Related Author
ZHU Kaiyu
LIN Jikeng
HAO Lili
KAN Yizhou
XUE Yusheng
XUE Feng
WANG Yuhong
WANG Xueke
Related Institution
College of Electronics and Information Engineering, Tongji University
College of Electrical Engineering & Control Science, Nanjing Tech University
State Grid Electric Power Research Institute (NARI Group Corporation)
School of Electrical Engineering, Sichuan University