604 citations · 1.2k across the 4 of their papers we have counts for
15 papers
Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method
Yinfeng Sun, Dapeng Xia, Zichun Gao +5
The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic load flow based on the cumulant method (PLF-CM) for the vo…
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach
Yang Li, Meng Han, Zhen Yang +1
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental…
Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach
Yang Li, Chunling Wang, Guoqing Li +1
In order to balance the interests of integrated energy operator (IEO) and users, a novel Stackelberg game-based optimization framework is proposed for the optimal scheduling of int…
Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings
Yang Li, Chunling Wang, Guoqing Li +3
Insufficient flexibility in system operation caused by traditional "heat-set" operating modes of combined heat and power (CHP) units in winter heating periods is a key issue that l…
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…