Completed Projects

Below are the Final Reports for all the completed PSERC projects.

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Markets

  • M-42: Modeling and Coordinating Distributed Energy Resources in Power Systems and Markets
  • M-41: The Stacked Value of Battery Energy Storage Systems
  • M-40: Market and Control Mechanisms Enabling Flexible Service Provision by Grid-Edge Resources within End-to-End Power Systems
  • M-39: Newly Implemented and Proposed Market Products and Reformulations: Pricing Implications, Analysis, and Enhancements
  • M-38: Coordination Mechanisms for Seamless Operation of Interconnected Power Systems
  • M-37: Development of Expansion Planning Methods and Tools for Handling Uncertainty
  • M-36: Analysis of Power System Operational Risks from Gas System Dependence
  • M-35: Robust and Decentralized Operations for Managing Renewable Generation and Demand Response in Large-Scale Distribution Systems Simulations
  • M-34: Risk Assessment of Constraint Relaxation Practices
  • M-33: Reliability Metrics for Renewable Resources and Self-Reserve
  • M-32: New Operation Tools for Improving Flexibility and Reliability of Systems with Variable Resources and Storage Devices
  • M-31: Markets for Ancillary Services in the Presence of Stochastic Resources
  • M-30: A Framework for Transmission Planning Under Uncertainty
  • M-29: Constraint Relaxations: Analyzing the Impacts on System Reliability, Dynamics, and Markets
  • M-28: Analytical Methods for the Study of Investment Strategies in Compliance with Environmental Policy Requirements
  • M-27: Impacts of Bad Data and Cyber Attacks on Electricity Market Operations
  • M-26: Quantifying Benefits of Demand Response and Look-ahead Dispatch in Systems with Variable Resources
  • M-25: The Development and Application of a Distribution Class LMP Index
  • M-24: Interactions of Multiple Market-Based Energy and Environmental Policies in a Transmission-Constrained Competitive National Electricity Market
  • M-23: Design and Valuation of Demand Response Mechanisms and Instruments for Integrating Renewable Generation Resources in a Smart Grid Environment
  • M-22: Coupling Wind Generation with Controllable Load and Storage: A Time-Series Application of the SuperOPF
  • M-21: Technical and Economic Implications of Greenhouse Gas Regulation in a Transmission Constrained Restructured Electricity Market.
  • M-20: Facilitating Environmental Initiatives While Maintaining Efficient Markets and Electric System Reliability
  • M-19: The Electric Power Industry and Climate Change: Power Systems Research Possibilities
  • M-18: Improved Investment and Market Performance Resulting from Proper Integrated System Planning
  • M-17: Integrated Financial and Operational Risk Management in Restructured Electricity Markets
  • M-16: Planning, Markets and Investment in the Electric Supply Industry
  • M-15: Tools for Assessment of Bidding into Electricity Auctions
  • M-14: Economic Impact Assessment of Transmission Enhancement Projects
  • M-13: Agent Modeling for Integrated Power Systems
  • M-12: Reliability, Electric Power, and Public vs. Private Goods: A New Look at the Role of Markets
  • M-11: Evaluation of Alternative Market Structure and Compensation Schemes for Incenting Transmission Reliability and Adequacy Related Investments
  • M-10: Uncertain Power Flows and Transmission Planning
  • M-9: Market Structures to Reduce Seams and Enhance Investment
  • M-8: Reliability Assessment Incorporating Operational Considerations and Economic Aspects for Large Interconnected Grids
  • M-7: Structuring Electricity Markets for Demand Responsiveness: Experiments on Efficiency and Operational Consequences
  • M-6: Modeling Market Signals for Transmission Adequacy Issues: Valuation of Transmission Facilities and Load Participation Contracts in Restructured Electric Power Systems
  • M-5: Software Agents for Market Design and Analysis
  • M-4: Market Redesign: Incorporating the Lessons Learned for Enhancing Market Design
  • M-3: Interval Analysis for Unknown Dependencies and Genetic Algorithm Emulation of Markets: Market Interactions and Market Power
  • M-2: Market Mechanisms for Competitive Electricity
  • M-1: Reactive Power Support Services in Electricity Markets

Systems

  • 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

Transmission and Distribution Technologies (T&D)

  • T-65: Identification and Mitigation of T&D Operational Security Vulnerabilities in Inverter Dominated Power Systems
  • T-64: Who are controlling the DERs? Increasing DER hosting capacity through targeted modeling, sensing, and control
  • T-63: Harnessing the Power of Artificial Intelligence (AI) for Transmission & Distribution Operations
  • T-62G: Unified Approach to the Optimization of Transmission Lines for Maximum Power Transfer Capacity Based on their Electric Field Distribution
  • T-61: Optimal Model Coordination for Integrated Transmission and Distribution Systems
  • T-60: Framework to Analyze Interactions between Transmission & Distribution (T&D) Systems with High Distributed Energy Resource (DER) Penetrations
  • T-59G: RTE DSE – Protection Demonstration
  • T-58: Power Electronics to Improve the Performance of Modern Power Systems: Case Study on Partially Rated Solid-State Transformers
  • T-57HI: Life-Cycle Management of Mission-Critical Systems through Certification, Commissioning, In-Service Maintenance, Remote Testing, and Risk Assessment
  • T-56G: Setting-less Protection: Field Demonstration
  • T-55G: Setting-less Protection: Centralized Substation Protection
  • T-54G: Establishing a Software-Based Real-Time Simulation Platform for a Controls Laboratory for Training, Research and Development, and Experimentation
  • T-53: Reliability Assessment and Modeling of Cyber Enabled Power Systems with Renewable Sources and Energy Storage
  • T-52G: Setting-less Protection: Laboratory Testing
  • T-51: Systematic Integration of Large Data Sets for Improved Decision-Making
  • T-50G: The Electricity and Transportation Infrastructure Convergence Infrastructure Convergence
  • T-49G: Setting-less Protection
  • T-48: The Economic Case for Bulk Energy Storage in Transmission Systems with High Percentages of Renewable Resources
  • T-47: Making the Economic Case for Innovative HTLS Overhead Conductors
  • T-46G: Evaluation of Station Post Porcelain Insulators with Room Temperature Vulcanized (RTV) Silicone Rubber Coatings
  • T-45: The Next Generation Energy Management (EMS) System Design
  • T-44: Distribution System Analysis Tools for Studying High Penetration of PV with Grid Support Features
  • T-43: Verifying Interoperability and Application Performance of PMUs and PMU-enabled IEDs at the Device and System Level
  • T-42: Evaluation of Epoxy Nanocomposites for High Voltage Insulation
  • T-41, Part 1: Characteristics of a Smart Distribution System and Design of Islanded Distributed Resources
  • T-41, Part 2: Impact of Plug-In Hybrid Electric Vehicles on Distribution System Demand Response
  • T-41, Part 3: Restoration, State Estimation and Reliability Enhancement
  • T-41, Part 4: Implications of the Smart Grid Initiative on Distribution Engineering
  • T-40: PHEVs as Dynamically Configurable Dispersed Energy Storage
  • T-39: Communication Requirements and Integration Options for Smart Grid Deployment
  • T-38: Substation of the Future: A Feasibility Study
  • T-37: The 21st Century Substation Design
  • T-36: Integration of Asset and Outage Management Tasks for Distribution Application
  • T-35: Comparative Characterization of Parallel Distribution Sensors Under Field Conditions
  • T-34: Power System Level Impacts of Plug-In Hybrid Vehicles
  • T-33: Characterization of Composite Cores for High Temperature-Low Sag (HTLS) Conductors
  • T-32: Optimized Fault Location: Integration of Substation IED Information into EMS Functionality
  • T-31: Massively Deployed Sensors
  • T-30: Transient Testing of Protective Relays: Study of Benefits and Methodology
  • T-29: Digital Protection System Using Optical Instrument Transformers and Digital Relays Interconnected by an IEC 61850-9-2 Digital Process Bus
  • T-28: Satellite Imagery for the Identification of Interference with Overhead Power Lines
  • T-27: Reliability Based Vegetation Management Through Intelligent System Monitoring
  • T-26G: Prediction of Flashover Voltage of Insulators Using Low Voltage Surface Resistance Measurement
  • T-25: Transformer Overloading and Assessment of Loss-of-Life for Liquid-Filled Transformers
  • T-24: Risk-Based Maintenance Allocation and Scheduling for Bulk Transmission System Equipment
  • T-23: A Novel Approach for Prioritizing Maintenance of Underground Cables
  • T-22, Part 1: Performance Assessment of Advanced Digital Measurement and Protection Systems
  • T-22, Part 2: Performance Assessment of Advanced Digital Measurement and Protection Systems
  • T-21: Evaluation of Distributed Electric Energy Storage and Generation
  • T-20: Optical Sensor for Transformer Monitoring
  • T-19: Automated Circuit Breaker Monitoring
  • T-18: Control and Design of Microgrid Components
  • T-17, Part 1: Enhanced Reliability of Power System Operation Using Advanced Algorithms and IEDs: Substation Automation
  • T-17, Part 2: Enhanced Reliability of Power System Operation Using Advanced Algorithms and IEDs: Detecting Circuit Breaker Status Errors in Substations
  • T-16: Voltage Dip Effect on Loads in Electric Power System
  • T-15: Differential GPS Measurement of Overhead Conductor Sag: Software Implementation
  • T-14: Evaluation of Critical Components of Nonceramic Insulators (NCI) In-Service: Role of Defective Interfaces
  • T-13: Personnel Grounding and Safety Issues/Solutions Related to Servicing Optical Fiber Telecommunication Circuits in Optical Ground Wire (OPGW)
  • T-12: Distribution System Electromagnetic Modeling and Design for Enhanced Power Quality
  • T-11, Part 1: Wireless Communications in Substations; Power System Monitoring Using Wireless Substation and System-Wide Communications
  • T-11, Part 2: Mobile Agent Applications for Power Apparatus Monitoring and Maintenance; Power System Monitoring Using Wireless Substation and System-Wide Communications
  • T-10: Accurate Fault Location in Transmission Networks Using Modeling, Simulation and Limited Field Recorded Data
  • T-9: Enhanced State Estimation by Advanced Substation Monitoring
  • T-8: Investigation of Fuel Cell System Performance and Operation: A Fuel Cell as a Practical Distributed Generator
  • T-7: Analysis and Design of Power Acceptability Curves for Industrial Loads
  • T-6: Condition Monitoring and Maintenance Strategies for In-Service Nonceramic Insulators (NCI), Underground Cables and Transformers
  • T-5: Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach
  • T-4: Electric Transmission Line Insulator Flashover Prediction System
  • T-3: Simulation of Top-Oil Temperature for Transformers
  • T-2: Development of a Graphic User Interface for an Overhead Conductor Sag Instrument
  • T-1: Assessing Deterioration of ADSS Fiber Optic Cables Due to Corona Discharge