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
Cascading Failure Mitigation on Cyclic Coupled Interaction Network87
Direct Damping Feedback Control Using Power Electronics-Interfaced Resources87
Performance Degradation of Levee-Protected Electric Power Network Due to Flooding in a Changing Climate87
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
Plausibility and Implications of Converter-Driven Oscillations Induced by Unstable Long-Term Dynamics78
Estimation of Behind-the-Meter Power Loss of Renewables With EMS Data78
A Distributed Dynamic Inertia-Droop Control Strategy Based on Multi-Agent Deep Reinforcement Learning for Multiple Paralleled VSGs77
A Two-Stage Simultaneous Control Scheme for the Transient Angle Stability of VSG Considering Current Limitation and Voltage Support76
Faster-Than-Real-Time Hardware Emulation of Extensive Contingencies for Dynamic Security Analysis of Large-Scale Integrated AC/DC Grid76
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
A Practical Feeder Planning Model for Urban Distribution System73
Loss Allocation in Three-Phase Distribution Network Using $\tau$-Value73
Control Design of Dynamic Virtual Power Plants: An Adaptive Divide-and-Conquer Approach73
Privacy-Preserving Distributed Energy Transaction in Active Distribution Networks72
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
Data-Driven Load Frequency Control Based on Multi-Agent Reinforcement Learning With Attention Mechanism71
Risk-Aware Objective-Based Forecasting in Inertia Management70
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
Curriculum-Based Reinforcement Learning for Distribution System Critical Load Restoration69
Data-Driven Multi-Resolution Probabilistic Energy and Reserve Bidding of Wind Power69
Power System Recovery from Momentary Cessation with Transient Stability Improvement69
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
Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method66
Sleep-Induced Network With Reducing Information Loss for Short-Term Load Forecasting66
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
Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification65
Microgrid Optimal Energy Scheduling Considering Neural Network Based Battery Degradation64
Wildfire Mitigation Plans in Power Systems: A Literature Review64
Comparison of Power Swing Characteristics and Efficacy Analysis of Impedance-Based Detections in Synchronous Generators and Grid-Following Systems63
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
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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