List of Current Research Projects:
PI | Co PI | Prime Sponsor | Sponsor | Title |
---|---|---|---|---|
Ajjarapu, Venkataramana | Vaidya, Umesh | National Science Foundation | Enabling a Flexible, Non-Disruptive Demand Control to Improve Grid Security and Performance | |
Ajjarapu, Venkataramana | Govindarasu, Manimaran | National Science Foundation | CPS: Medium: Data-Driven Causality Mapping, System Identification and Dynamics Characterization for Future Power Grid | |
Dobson, Ian | National Science Foundation | CRISP Type 2/Collaborative Research: Understanding the Benefits and Mitigating the Risks of Interdependence in Critical Infrastructure Systems | ||
Kimber, Anne | City of Bloomfield | City of Bloomfield – EPRC Support | ||
Kimber, Anne | DOE-US Department of Energy | Iowa Economic Development Authority | Mobile Energy Systems for State of Iowa Resiliency | |
Kimber, Anne | American Public Power Association | Algona Municipal Utilities | Customer Clustering Using AMI Tool for Small Public Power Utilities | |
Kong, Song-Charng | Kimber, Anne | DOD-US Department of Defense | DOD-Iowa Army National Guard | Camp Dodge Energy and Water Master Plan |
McCalley, James | Arizona State University | Development of Expansion Planning Methods and Tools for Handling Uncertainty | ||
McCalley, James | Electric Power Research Institute | Contribution to White Paper on the New Generation of Coordinated Generation and Transmission Planning Problems | ||
McCalley, James | XCEL Energy | Assessment of Public Service Colorado System | ||
McCalley, James | DOE-US Department of Energy | Alliance for Sustainable Energy LLC (NREL) | Interconnections Seam Study Final Scenarios | |
Wang, Zhaoyu | Kimber, Anne | DOE-National Energy Technology Laboratory | Robust Real-Time Modeling of Distribution Systems with Data-Driven Grid-Wise Observability | |
Wang, Zhaoyu | Arizona State University | Data-Driven and Machine Learning-Based Load Modeling | ||
Wang, Zhaoyu | Dobson, Ian | DOE-US Department of Energy | Argonne National Laboratory | A Data-Driven Multi-Timescale Predictive, Proactive, and Recovery Optimization Framework for Solar Energy Integrated Resilient Distribution Grid |
Wang, Zhaoyu | National Science Foundation | Data-Driven Voltage VAR Optimization Enabling Extreme Integration of Distributed Solar Energy | ||
Wang, Zhaoyu | Arizona State University | Market and Control Mechanisms Enabling Flexible Service Provision by Grid-Edge Resources Within End-To-End Power Systems (M-40) | ||
Wang, Zhaoyu | Dobson, Ian; Ajjarapu, Venkataramana; Hegde, Chinmay | DOE-National Energy Technology Laboratory | Robust Learning of Dynamic Interactions for Enhancing Power Systems Resilience |