activity
20192022
most citedRobust Dynamic State Estimator of Integrated Energy Systems based on Natural Gas Partial Differential Equations

28 citations · 32 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY202228 cited

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…

eess.SP20214 cited

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…

eess.SY2019

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…

eess.SY2019

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…

eess.SY2019

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…