Completed Projects

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Below are the Final Reports for all completed PSERC Projects.

  • S-108G: Guidelines for Voltage Stability Assessment on Systems with Large Integration of IBRs
  • S-107: Adaptive Transmission and Distribution Modeling and Simulation Tools for Supporting Integration and Operation of High Penetration of DERs
  • S-106: Data-Driven Stability Analysis of IBR-rich Grids with hybrid EMT+Phasor Models
  • S-105: Integration of Protection and Control Systems in Dynamic Security Assessment Methods
  • S-104G: Data Development and Composite Probabilistic Adequacy Evaluation
  • S-103G: Oscillation Analysis with SCADA using Inferential Statistics (OASIS)
  • S-102G: Second Stage in Feasibility Assessment of Synchronous Operations of the North American Eastern and Western Interconnections
  • S-101G: Comparison of Positive-Sequence Versus Three-Phase Simulation of IBRs and Rotating Loads in Time Domain Simulations
  • S-100: Detection, Characterization, and Mitigation of Disruptive Events (DECODE) by Combining Machine Learning/Artificial Intelligence on Synchrophasors and Physics-based Analysis
  • S-99: Incorporating climate impacts into electricity system planning models: review and case study
  • S-98G: Model Reduction and Translation for Coordinated Expansion Planning Studies
  • S-97G: System Identification Tools for Power Systems Using Synchronized Measurements
  • S-96: Data driven controls of DERs & hybrid PV plants for enhancing voltage stability with TSO-DSO interactions over multiple timescales
  • S-95: Reliable fault-ride through and protection of converter-dominated power systems under unbalanced conditions
  • S-94G: Exploring the Efficacy of Machine Learning Based Preventive and Corrective Control to Prevent Cascading Failures Following Large Disturbances
  • S-93G: Deep Reinforcement Learning for Power Grid Control
  • S-92G: Feasibility Assessment of Synchronous Operations of the North American Eastern and Western Interconnections
  • S-91: Generating Value from Detailed, Realistic Synthetic Electric Grids
  • S-90: Grid Supporting Controllers for Enabling 100% Penetration of Inverter Based Resources
  • S-89G: Nonlinear Analysis of Power System Oscillations Using Models and Measurements
  • S-88G: Risk-sensitive Security-Constrained Economic Dispatch via Critical Region Exploration
  • S-87: Machine Learning Approaches for Real-time Integration of Synchrophasor Data
  • S-86G: Input-Output Metrics for the Power-Grid’s Swing Dynamics
  • S-85G: Analyst Tool for Fast Power System Steady-State Angular Stability Assessment
  • S-84G: Data-Driven and Machine Learning-Based Load Modeling
  • S-83G: Hybrid simulation for large-scale MMC-MTDC embedded power systems
  • S-82G: Cyber-Physical Modeling and Visualization for Microgrid Resiliency
  • S-81G: Oscillation Monitoring of the RTE Power System using Synchrophasors
  • S-80: Improved Dynamic Load Modeling Using Power System Measurements for Enhanced Transmission and Distribution System Operation and Planning
  • S-79G: Input-Output Properties of the Power System Swing Dynamics: Identification, Model Reduction, and Controller Design
  • S-78G: Efficient Modeling of Modular Multilevel Converters for Fast Simulation of Large-Scale MMC-HVDC Embedded Power Systems
  • S-77G: Improving Voltage Stability Margin Estimation through the use of HEM and PMU Data
  • S-76: Modeling, Control, and Protection of Multi-Terminal DC Transmission for Improving Power Grid’s Performance
  • S-75: Reliability Evaluation of Renewable Generation Integrated Power Grid Including Adequacy and a Dynamic Security Assessment
  • S-74: Synchrophasor Data-Analytics for a more Resilient Electric Power
  • S-73G: Functional Assessment of DFIG and PMSG-based Wind Turbines for Grid Support Applications
  • S-72: Attack-Resilient and Secure EMS: Design, Algorithms, Operational Protocols, and Evaluation
  • S-71: Real-time Synchrophasor Data Quality Analysis and Improvement
  • S-70: Leveraging Conservation Voltage Reduction for Energy Efficiency, Demand Side Control and Voltage Stability Enhancement in Integrated Transmission and Distribution Systems
  • S-69G: Mitigating Adverse Impacts of Negative Damping Induced by Wind Generators on Power Grid Dynamics
  • S-68G: Non-Minimum-Phase Dynamics in the Electric Power Transmission Network: Identification, Analysis, and Preserving Model Reduction
  • S-67G: Cloud Data Sharing Platform
  • S-66: Representation, Modeling, Data Development and Maintenance of Appropriate Protective Relaying Functions in Large Scale Transient Stability Simulations
  • S-65: Real Time Synchrophasor Measurements Based Voltage Stability Monitoring and Control
  • S-63G: Advanced Cyber-Physical Analysis for Smart Grid Distributed ICT and IED Resources at RTE France
  • S-62G: Seamless Bulk Electric Grid Management
  • S-61G: Day-Ahead and Real-Time Models for Large-Scale Energy Storage
  • S-60: Load Model Complexity Analysis and Real-Time Load Tracking
  • S-59: Sparse Sensing Methods for Model-Free Sensitivity Estimation and Topology Change Detection using Synchro-Phasor Measurements
  • S-58: Hybrid Time Domain Simulation: Application to Fault Induced Delayed Voltage Recovery
  • S-57: Adaptive and Intelligent PMUs for Smarter Applications
  • S-56: Stability, Protection and Control of Systems with High Penetration of Converter Interfaced Generation
  • S-55: Toward Standards for Dynamics in Electric Energy Systems
  • S-54: Towards a Privacy-Aware Information-Sharing Framework for Advanced Metering Infrastructures
  • S-53G, Part 1: Seamless Energy Management Systems Part 1: Assessment of Energy Management Systems and Key Technological Requirements
  • S-53G, Part 2: Seamless Energy Management Systems Part 2: Development of Prototype Core Elements
  • S-52: Coordinated Aggregation of Distributed Demand-Side Resources
  • S-51: The Application of Robust Optimization in Power Systems
  • S-50: Real Time PMU-Based Stability Monitoring
  • S-49: Exploiting Emerging Data for Enhanced Load Modeling
  • S-48G: Setting-less Protection Methods
  • S-47G: Integrated EMS for Seamless Power System Analytics
  • S-46G: Seamless Power System Analytics
  • S-45: Testing and Validation of Phasor Measurement Based Devices and Algorithms
  • S-44: Data Mining to Characterize Signatures of Impending System Events or Performance from PMU Measurements
  • S-43G: Validation and Accreditation of Transient Stability Results
  • S-42: Low Frequency Transmission
  • S-41: Tools and Techniques for Considering Transmission Corridor Options to Accommodate Large Scale Renewable Energy Resources
  • S-40: Integration of Storage Devices into Power Systems with Renewable Energy Sources
  • S-39: The Smart Grid Needs: Model and Data Interoperability, and Unified Generalized State Estimator
  • S-38: Parts 1 and 2: Next Generation On-Line Dynamic Security Assessment
  • S-38: Parts 3 and 4: Next Generation On-Line Dynamic Security Assessment
  • S-37: Toward a Systematic Framework for Deploying Synchrophasors and their Utilization for Improving Performance of Future Electric Energy Systems
  • S-36: Using PMU Data to Increase Situational Awareness
  • S-35: System Protection Schemes: Limitations, Risks, and Management
  • S-34: Impact of Increased DFIG Wind Penetration on Power Systems and Markets
  • S-33: Implementation Issues for Hierarchical State Estimators
  • S-32: Fast Simulation, Monitoring and Mitigation of Cascading Failure
  • S-31: Real-Time Security Assessment of Angle Stability and Voltage Stability Using Synchrophasors
  • S-30: Development and Evaluation of System Restoration Strategies from a Blackout
  • S-29: Detection, Prevention and Mitigation of Cascading Events – Prototype Implementations
  • S-28: Preventing Voltage Collapse with Protection Systems that Incorporate Optimal Reactive Power Control
  • S-27: A Tool for On-line Stability Determination and Control for Coordinated Operations between Regional Entities Using PMUs
  • S-27G: Tool for On-line Stability Determination and Control for Coordinated Operations between Regional Entities Using PMUs : Expanded Testing (Decision Tree Based Online Voltage Security Assessment Using PMU Measurements)
  • S-26: Risk of Cascading Outages
  • S-25: Effective Power System Control Center Visualization
  • S-24: Optimal Allocation of Static and Dynamic VAR Resources
  • S-23G: Optimal Placement of Phasor Measurement Units for State Estimation
  • S-22: Condition Indicator Analysis for the Enhancement of Power System State Estimators (Project Related Ph.D. Thesis)
  • S-22: Enhanced State Estimators
  • S-22: Phasor Measurement Unit Data in Power System State Estimation (Intermediate Project Report)
  • S-21: On-Line Transient Stability Assessment Scoping Study
  • S-20: Supplemental Report: Consequences of Fault Currents Contributed by Distributed Generation
  • S-20: New Implications of Power System Fault Current Limits
  • S-19, Part 1: Detection, Prevention and Mitigation of Cascading Events
  • S-19, Part 2: Detection, Prevention and Mitigation of Cascading Events
  • S-19, Part 3: Detection, Prevention and Mitigation of Cascading Events
  • S-18: Visualization of Power Systems and Components
  • S-17: Techniques for the Evaluation of Parametric Variation in Time-Step Simulations
  • S-16, Part 1: Security Enhancement through Direct Non-Disruptive Load Control
  • S-16, Part 2: Security Enhancement through Direct Non-Disruptive Load Control
  • S-15: Estimation of Synchronous Generator Parameters from On-line Measurements
  • S-14: Risk-Based Resource Allocation for Distribution System Maintenance
  • S-13: Comprehensive Power System Reliability Assessment
  • S-12: Robust Control of Large Scale Power Systems
  • S-11: Voltage Security Margin Assessment
  • S-10: Power System State Estimation and Optimal Measurement Placement for Distributed Multi-Utility Operation
  • S-9: Visualization of Power Systems
  • S-8: Coordination of Transmission Line Transfer Capabilities
  • S-7: Integrated Security Analysis
  • S-6: New System Control Methodologies: Adapting AGC and Other Generator Controls to the Restructured Environment
  • S-6: Congestion Management in Restructured Power Systems Using an Optimal Power Flow Framework
  • S-5: Automated Operating Procedures for Transfer Limits
  • S-4: Computer Simulation of Cascading Disturbances in Electric Power Systems
  • S-3: Avoiding and Suppressing Oscillations
  • S-2: CPFLOW for Power Tracer and Voltage Monitoring
  • S-1: Identification and Tracking of Parameters for a Large Synchronous Generator
  • Electric Power Transfer Capability: Concepts, Applications, Sensitivity, Uncertainty