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20182022
most citedCoordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach

604 citations · 1.2k across the 4 of their papers we have counts for

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7 papers · 1 filter

eess.SY2022★ 27 cited

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…

eess.SY2021

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

Yang Li, Bin Wang, Zhen Yang +2

The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention. A scheduling model based on chance-constra…

eess.SY2021★ 604 cited

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…

eess.SY2020★ 293 cited

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…

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…