The theoretical basis of traditional power system state estimation is the law of large numbers based on traditional statistics
that is
when the number of measurements approaches infinity
the estimated value approximates to the true value with 1 probability. However
the number of measurements in the actual system is limited and sometimes even small
there is no theoretic guarantee for the evaluation index and estimation precision of the traditional state estimation. In view of this situation
the paper introduces the concept of uncertain measure under the uncertainty theory system
and explains the difference and relation among the uncertain measure
uncertainty of measurement and measurement error in the state estimation. Furthermore
the normal measurement
abnormal measurement and normal rate are redefined under the uncertainty theory system. And a new evaluation index of state estimation result considering the normal rate and the measurement deviation degree from the true value is proposed and the rationality is proved.
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
Related Author
CHEN Yanbo
ZHU Kaiyu
LIN Jikeng
HAO Lili
KAN Yizhou
XUE Yusheng
XUE Feng
WANG Yuhong
Related Institution
School of Electrical & Electronic Engineering, North China Electric Power University
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