activity
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 · 3k across the 16 of their papers we have counts for

collaborators

17 papers

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★ 201 cited

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.SP2021★ 322 cited

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…

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…

cs.NE2018★ 69 cited

Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors

Yanjun Zhang, Tie Li, Guangyu Na +2

A new optimized extreme learning machine- (ELM-) based method for power system transient stability prediction (TSP) using synchrophasors is presented in this paper. First, the inpu…

eess.SP2018★ 276 cited

Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: a bi-level programming approach via real-time pricing

Yang Li, Zhen Yang, Guoqing Li +4

In order to coordinate the scheduling problem between an isolated microgrid (IMG) and electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi-lev…

math.OC2018

Optimal Power Flow for AC/DC System Based on Cooperative Multi-objective Particle Swarm Optimization

Yahui Li, Yang Li, Guoqing Li

In order to unifiedly coordinate economy and voltage deviations, a novel multi-objective optimal power flow (MOPF) algorithm is proposed for an AC/DC system with VSC-HVDC based on…

eess.SP2018★ 17 cited

Rule extraction based on extreme learning machine and an improved ant-miner algorithm for transient stability assessment

Yang Li, Guoqing Li, Zhenhao Wang

In order to overcome the problems of poor understandability of the pattern recognition-based transient stability assessment (PRTSA) methods, a new rule extraction method based on e…

eess.SP2018★ 11 cited

A multifeature fusion approach for power system transient stability assessment using PMU data

Yang Li, Guoqing Li, Zhenhao Wang +2

Taking full advantage of synchrophasors provided by GPS-based wide-area measurement system (WAMS), a novel VBpMKL-based transient stability assessment (TSA) method through multifea…

eess.SY2018★ 87 cited

Optimized Hierarchical Power Oscillations Control for Distributed Generation Under Unbalanced Conditions

Peng Jin, Yang Li, Guoqing Li +2

Control structures have critical influences on converter-interfaced distributed generations (DG) under unbalanced conditions. Most of previous works focus on suppressing active pow…

math.OC2018★ 365 cited

Optimal distributed generation planning in active distribution networks considering integration of energy storage

Yang Li, Bo Feng, Guoqing Li +3

A two-stage optimization method is proposed for optimal distributed generation (DG) planning considering the integration of energy storage in this paper. The first stage determines…

math.OC2018★ 107 cited

Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process

Yang Li, Yahui Li, Guoqing Li +2

A two-stage solution approach for solving the problem of multi-objective optimal power flow (MOPF) is proposed for hybrid AC/DC grids with VSC-HVDC. First, a MOPF model for hybrid…

math.OC2018★ 234 cited

A Two-Stage Approach for Combined Heat and Power Economic Emission Dispatch: Combining Multi-Objective Optimization with Integrated Decision Making

Yang Li, Jinlong Wang, Dongbo Zhao +2

To address the problem of combined heat and power economic emission dispatch (CHPEED), a two-stage approach is proposed by combining multi-objective optimization (MOO) with integra…

eess.SP2018★ 414 cited

Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties

Yang Li, Zhen Yang, Guoqing Li +2

By modeling the uncertainty of spinning reserves provided by energy storage with probabilistic constraints, a new optimal scheduling mode is proposed for minimizing the operating c…