CSEE Journal of Power and Energy Systems

Papers
(The H4-Index of CSEE Journal of Power and Energy Systems is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Self-Sustaining of Critical Park Microgrids Integrating Mobile Emergency Generators Subjective to Major Outage65
Integrated Optimization Planning of Multiple Energy Stations for Low Carbon Operation59
Modeling and Stability Analysis of Meshed Smart Transformer-Fed Grid54
Voltage Support Capacity Improvement for Wind Farms with Reactive Power Substitution Control36
High Power Density EV Integrated Fast Battery Chargers Based on the General Torque Cancelation Law for Three-Phase Motors33
Physical Mechanism Enabled Neural Network for Power System Dynamic Security Assessment29
Regenerative Braking Control of Multi-Step Series Hybrid Energy Storage System with Energy Constraint for Practical Operation26
Assessment and Enhancement of FRC of Power Systems Considering Thermal Power Dynamic Conditions24
Transient Stability Analysis Between SG and Grid-forming VSCs with Current Saturation Control Considering Backward-Swing Dynamics24
Enhanced DC Voltage Based Grid-Forming Control for MMC-HVDC System Connecting Offshore Wind Farm22
An Innovative Relaying Scheme for Protection of AC Microgrid Feeders Using Incremental Negative Sequence Power20
Effect of Frequency on Degradation in BOPP Films Under Repetitively Pulsed Voltage19
Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas18
Small-Signal Stability Analysis of VSCs with Neative-sequence Current Control Based on LTP and HSS Theory18
Optimal Distributed Dispatch of Smart Multi-Agent Energy Hubs Based on Consensus Algorithm Considering Lossy Communication Network and Uncertainty18
Improvement of Power Equipment Defect Text Quality Based on Improved BI-LSTM16
Tight Quadratic Convex Reformulation for Unit Commitment Problem16
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