93 citations · 177 across the 7 of their papers we have counts for
7 papers
Robust Dynamic State Estimator of Integrated Energy Systems based on Natural Gas Partial Differential Equations
Liang Chen, Yang Li, Manyun Huang +2
The reliability and precision of dynamic database are vital for the optimal operating and global control of integrated energy systems. One of the effective ways to obtain the accur…
Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems
Liang Chen, Xinxin Hui, Songlin Gu +2
A dynamic state estimation method of integrated natural gas and electric power systems (IGESs) in proposed. Firstly, the coupling model of gas pipeline networks and power systems b…
Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks
Liang Chen, Peng Jin, Jing Yang +2
To obtain the accurate transient states of the big scale natural gas pipeline networks under the bad data and non-zero mean noises conditions, a robust Kalman filter-based dynamic…
Dynamic State Estimation of Generators Under Cyber Attacks
Yang Li, Zhi Li, Liang Chen
Accurate and reliable estimation of generator's dynamic state vectors in real time are critical to the monitoring and control of power systems. A robust Cubature Kalman Filter (RCK…
A false data injection attack method for generator dynamic state estimation
Yang Li, Zhi Li, Liang Chen +1
Accurate and reliable dynamic state quantities of generators are very important for real-time monitoring and control of the power system. The emergence of cyber attacks has brought…
Dynamic State Estimation of Synchronous Machines Using Robust Cubature Kalman Filter Against Complex Measurement Noise Statistics
Yang Li, Jing Li, Liang Chen +2
Cubature Kalman Filter (CKF) has good performance when handling nonlinear dynamic state estimations. However, it cannot work well in non-Gaussian noise and bad data environment due…
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines under Unknown Measurement Noise Statistics
Yang Li, Jing Li, Junjian Qi +1
Kalman-type filtering techniques including cubature Kalman filter (CKF) does not work well in non-Gaussian environments, especially in the presence of outliers. To solve this probl…