The amplitude and phase of voltage and current can be measured by the phasor measurement unit(PMU) to supply full-scale measurement information. Based on the innovation graph technique with the AC power flow model, the bad data identification method using the Kirchhoff's voltage law(KVL) is proposed. The interacting relation of circuit voltage drop between two loops including the common tree branch in the innovation graph is deduced for the first time. Then the bad data contained in the loop are identified using the interacting relation. The method has such advantages as comparatively small calculating burden, fast identifying speed and adaptability to the wide area measurement system(WAMS). By cooperating with the innovation difference vector method, the method proposed can identify the bad data which the innovation difference vector cannot identify. The effectiveness of the method proposed is demonstrated on an IEEE 30-bus system with fairly good effect of identifying strongly interacting bad data.
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
LI Dalu
LI Rui
SUN Yuanzhang
CHEN Han
ZHU Kaiyu
LIN Jikeng
HAO Lili
KAN Yizhou
Related Institution
Wuhan University
State Key Lab of Power Systems, Department of Electrical Engineering, Tsinghua 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)