Professor Yang Li
Northeast Electric Power University
Professor, Electrical Engineering
China, People's Republic of
My co-authors include
Professor Leijiao Ge
Find me at
My Publications
Multi-objective optimal dispatch of isolated microgrids
IET Renewable Power Generation
January 2019
In order to coordinate multiple different scheduling objectives from the perspectives of the economy, environment, and users, a practical multi-objective dynamic optimal dispatch model incorporatin...
Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and R...
IEEE Transactions on Industrial Electronics
February 2019
Optimal scheduling of isolated microgrid with an electric vehicle battery swapping stat...
Applied Energy
December 2018
Optimal distributed generation planning in active distribution networks considering int...
Applied Energy
January 2018
A two-stage approach for combined heat and power economic emission dispatch: Combining ...
Energy
November 2018
Optimized hierarchical power oscillations control for distributed generation under unba...
Applied Energy
May 2017
Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions an...
Energy
March 2018
Application of EOS-ELM With Binary Jaya-Based Feature Selection to Real-Time Transient ...
IEEE Access
January 2017
Feature selection for transient stability assessment based on kernelized fuzzy rough se...
International Journal of Electrical Power & Energy Systems
January 2015
Improving operational flexibility of integrated energy system with uncertain renewable ...
Energy Conversion and Management
March 2020
Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An ...
Applied Energy
April 2020
A Stackelberg game-based scheduling framework for integrated energy systems
Energy Conversion and Management
May 2021
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 integrated demand re...
Leveraging federated learning for renewable scenario generation
IEEE Transactions on Industrial Informatics
January 2021
Fed-LSGAN, a federated deep generative learning framework, is proposed for renewable scenario generation. Here, federated learning enables the proposal to generate scenarios in a privacy-preserving...
Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Sta...
IEEE Transactions on Sustainable Energy
January 2021
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 pollution, it is...
A Deep Learning Approach for Assessing Short-Term Voltage Stability of Power Systems
IEEE Access
January 2021
To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of power systems in t...
Joint planning of distributed generations and energy storage in active distribution net...
Energy
April 2022
A deep-Learning intelligent system incorporating data augmentation for STVS assessment
Applied Energy
February 2022
Hierarchical stochastic scheduling of multi-community integrated energy systems in unce...
Applied Energy
February 2022
Editorial: New Solutions for Smart Grids With High-Penetration Distributed Energy Resou...
Frontiers in Energy Research
January 2022
scheduling of demand response-enabled microgrids via an analytical-heuristic approach
Journal of Cleaner Production
January 2022
energy optimization strategy in smart buildings
Building and Environment
January 2022
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Lea...
IEEE Transactions on Intelligent Vehicles
January 2022
Frequency support scheme based on parametrized power curve for de-loaded wind turbine u...
Wind Engineering
July 2021
cyber and physical data fusion for detecting attacks on a Cyber-Physical Power System
Frontiers in Energy Research
April 2021
Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks
Mathematical Problems in Engineering
March 2021
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems
IEEE Access
January 2021
Editorial: Enabling High-Penetration Renewable Integration Into a Smarter Grid
Frontiers in Energy Research
November 2020
A Mini-Review on High-Penetration Renewable Integration Into a Smarter Grid
Frontiers in Energy Research
May 2020
Analyzing the co-evolution of green technology diffusion and consumers’ pro-environment...
Journal of Cleaner Production
May 2020
Indicator & crowding distance-based evolutionary algorithm for combined heat and power ...
Applied Soft Computing
May 2020
Non-Intrusive Appliance Identification with Appliance-Specific Networks
IEEE Transactions on Industry Applications
January 2020
Power Cyber-Physical System Risk Area Prediction Using Dependent Markov Chain and Impro...
IEEE Access
January 2020
Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS Bas...
IEEE Access
January 2020
Multi-Objective Optimal Reactive Power Dispatch of Power Systems by Combining Classific...
IEEE Access
January 2020
Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System...
IEEE Access
January 2020
Survivability Evaluation Method for Cascading Failure of Electric Cyber Physical System...
Mathematical Problems in Engineering
July 2019
Optimisation and comprehensive evaluation of alternative energising paths for power sys...
IET Generation Transmission & Distribution
May 2019
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines Unde...
IEEE Access
January 2019
Controlled Islanding for a Hybrid AC/DC Grid With VSC-HVDC Using Semi-Supervised Spectr...
IEEE Access
January 2019
Dynamic State Estimation of Generators Under Cyber Attacks
IEEE Access
January 2019
Incorporating Demand Response of Electric Vehicles in Scheduling of Isolated Microgrids...
IEEE Access
January 2019
Two-Step Many-Objective Optimal Power Flow Based on Knee Point-Driven Evolutionary Algo...
Processes
December 2018
On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agen...
Energies
November 2018
Online Static Security Assessment of Power Systems Based on Lasso Algorithm
Applied Sciences
August 2018
Social cognitive optimization with tent map for combined heat and power economic dispatch
International Transactions on Electrical Energy Systems
July 2018
Method for Quantitative Estimation of the Risk Propagation Threshold in Electric Power ...
IEEE Access
January 2018
A two-stage multi-objective optimal power flow algorithm for hybrid AC/DC grids with VS...
July 2017
The analysis of DC fault mode effects on MMC-HVDC system
July 2017
A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on M...
Energies
December 2016
Application of Shannon Wavelet Entropy and Shannon Wavelet Packet Entropy in Analysis o...
Entropy
December 2016
Multi-objective Optimization Operation Considering Environment Benefits and Economy Bas...
Energy Procedia
December 2016
Optimized Secondary Control for Distributed Generation under Unbalanced Conditions
Energy Procedia
June 2016
Determination of Optimal Opening Scheme for Electromagnetic Loop Networks Based on Fuzz...
Mathematical Problems in Engineering
January 2016
Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm f...
PLoS ONE
June 2015
A Multifeature Fusion Approach for Power System Transient Stability Assessment Using PM...
Mathematical Problems in Engineering
January 2015
Optimized Extreme Learning Machine for Power System Transient Stability Prediction Usin...
Mathematical Problems in Engineering
January 2015
Bayesian multiple kernels learning-based transient stability assessment of power system...
January 2013
Fault Diagnosis of Transformer Based on Quantum-Behaved Particle Swarm Optimization-Bas...
December 2009
Single Phase Adaptive Reclosure of Transmission Lines Based on EMD Approximate Entropy ...
December 2009
Short-Term Load Forecasting Based on LS-SVM Optimized by BCC Algorithm
November 2009
Comparison of Algorithms for an Electronic Nose in Identifying Liquors
Journal of Bionic Engineering
September 2008
