45 citations · 89 across the 5 of their papers we have counts for
5 papers
SCKF-LSTM Based Trajectory Tracking for Electricity-Gas Integrated Energy System
Liang Chen, Yang Li, Jun Cai +2
This paper introduces a novel approach for tracking the dynamic trajectories of integrated natural gas and power systems, leveraging a Kalman filter-based structure. To predict the…
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…