IEEE Transactions on Power Systems

Papers
(The H4-Index of IEEE Transactions on Power Systems is 61. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems330
Editorial Best Papers, Outstanding Editors, and Outstanding Reviewers255
IEEE Power & Energy Society Information255
Counterpart and Correction for Strong Duality of Second-Order Conic Program in Radial Networks233
Partial-Dimensional Correlation-Aided Convex-Hull Uncertainty Set for Robust Unit Commitment167
Event-Triggered Intelligent Control Scheme for Data Integrity Attack Mitigation in Multi-Area Power Grids120
A Multi-Timescale Coordinated Optimization Framework for Economic Dispatch of Micro-Energy Grid Considering Prediction Error119
Intelligent Power Control of Inverter Air Conditioners in Power Systems: A Brain Emotional Learning-Based Approach118
Global Sensitivity Analysis-Based Dimension Reduction for Stochastic Unit Commitment114
IEEE Transactions on Power Systems Information for Authors112
Bus Split Distribution Factors109
Line Failure Localization of Power Networks Part II: Cut Set Outages107
Automatic Generation Control Considering Uncertainties of the Key Parameters in the Frequency Response Model106
P/Q-ω/V Admittance Modeling and Oscillation Analysis for Multi-VSG Grid-Connected System102
Spectral Impedance-Based Probabilistic Wideband Oscillatory Stability Analysis and Visualization101
Incorporating P2P Trading Into DSO's Decision-Making: A DSO-Prosumers Cooperated Scheduling Framework for Transactive Distribution System94
Direct Damping Feedback Control Using Power Electronics-Interfaced Resources87
Performance Degradation of Levee-Protected Electric Power Network Due to Flooding in a Changing Climate87
Cascading Failure Mitigation on Cyclic Coupled Interaction Network87
An Online Feedback-Based Linearized Power Flow Model for Unbalanced Distribution Networks84
Forced Oscillation Source Location of Bulk Power Systems Using Synchrosqueezing Wavelet Transform82
Holomorphic Embedding Load Flow Method in Three-Phase Distribution Networks With ZIP Loads81
Non-Isothermal Optimal Power and Gas Flow80
Structure-Preserving Model Order Reduction for Nonlinear DAE Models of Power Networks79
GPU-Accelerated Online Short-Circuit Interrupting Capacity Scan Based on Unified Modeling79
Estimation of Behind-the-Meter Power Loss of Renewables With EMS Data78
Plausibility and Implications of Converter-Driven Oscillations Induced by Unstable Long-Term Dynamics78
A Distributed Dynamic Inertia-Droop Control Strategy Based on Multi-Agent Deep Reinforcement Learning for Multiple Paralleled VSGs77
Faster-Than-Real-Time Hardware Emulation of Extensive Contingencies for Dynamic Security Analysis of Large-Scale Integrated AC/DC Grid76
A Two-Stage Simultaneous Control Scheme for the Transient Angle Stability of VSG Considering Current Limitation and Voltage Support76
An Approximate Aggregated Impedance Model of a Grid-Connected Wind Farm for the Study of Small-Signal Stability74
Deep Multi-Fidelity Bayesian Data Fusion for Probabilistic Distribution System Voltage Estimation With High Penetration of PVs74
Control Design of Dynamic Virtual Power Plants: An Adaptive Divide-and-Conquer Approach73
A Practical Feeder Planning Model for Urban Distribution System73
Loss Allocation in Three-Phase Distribution Network Using $\tau$-Value73
Dynamic Analysis and Active Stabilization of a Utility-Scale Grid-Connected Current-Source Inverter-Based PV System Considering Source Dynamics72
Robust Load Forecasting Towards Adversarial Attacks via Bayesian Learning72
Enhanced DC Voltage Regulation and Transient Response for Multi-Terminal VSC-HVDC System Using Direct Power Control72
Privacy-Preserving Distributed Energy Transaction in Active Distribution Networks72
Data-Driven Load Frequency Control Based on Multi-Agent Reinforcement Learning With Attention Mechanism71
A Novel Tractable Methodology to Stochastic Multi-Period AC OPF in Active Distribution Systems Using Sequential Linearization Algorithm70
Power System Event Identification Based on Deep Neural Network With Information Loading70
Risk-Aware Objective-Based Forecasting in Inertia Management70
Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power69
Power System Recovery from Momentary Cessation with Transient Stability Improvement69
Curriculum-Based Reinforcement Learning for Distribution System Critical Load Restoration69
Hierarchical Distributed Chance-Constrained Voltage Control for HV and MV DNs Based on Nonlinearity-Adaptive Data-Driven Method68
Real-Time Coordinated Scheduling for ADNs With Soft Open Points and Charging Stations68
Chance-Constrained Economic Dispatch Considering Curtailment Strategy of Renewable Energy66
Physical-Model-Aided Data-Driven Linear Power Flow Model: An Approach to Address Missing Training Data66
Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method66
Sleep-Induced Network With Reducing Information Loss for Short-Term Load Forecasting66
Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification65
Wildfire Mitigation Plans in Power Systems: A Literature Review64
Microgrid Optimal Energy Scheduling Considering Neural Network Based Battery Degradation64
The Most Frequent N-k Line Outages Occur in Motifs That Can Improve Contingency Selection63
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections63
A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay63
Comparison of Power Swing Characteristics and Efficacy Analysis of Impedance-Based Detections in Synchronous Generators and Grid-Following Systems63
Economic Valuation of Power Grid Frequency Security and the Participants Share Specification61
Sparse Tracking State Estimation for Low-Observable Power Distribution Systems Using D-PMUs61
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