A Partnership of UConn and Eversource

Eversource Energy Center

 

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Funded Projects

Storm Preparedness

TitleSponsorInvestigator(s)Project GoalDocumentation
Predictive Storm & Damage Modeling for Preparedness and Emergency Response Support (Expanded to Include MA and NH)EversourceAnagnostou, E. (PI)
Astitha, M.
To improve the functionality and skill of the Center’s operational outage prediction model for Eversource-Connecticut, as well as to characterize forecast uncertainty and to conduct extreme weather vulnerability analysis for grid resilience and demonstrate the impact of tree trimming on outages.Project Materials

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Evaluation of Substations Vulnerability to Flooding in Current and Climate Change Scenarios (Phase II)EversourceShen, X. (PI)
Nikolopolous, E.; Anagnostou, E.
To develop a real-time early flood warning system for Eversource substations in CT by integrating meteorological, hydrological and hydraulic models and to estimate potential damage and risk under design flood and storm scenarios.SOW
Sewer Backup Risk ScoreTravelersShen, X. (PI)To develop a risk scoring system for likelihood of sewer backup during various storm events using machine learning software and compiling data from customer claims, hydrological, and geographic data.SOW
Arctic Polygonal Ecosystems Collaborative Research: Patterns, Dynamics and Vulnerability of Arctic, Polygonal Ecosystems: From Ice-Wedge Polygon to Pan-Arctic LandscapesNational Science FoundationWitharana, C. (PI)To understand the complex and interlinked processes responsible for the evolution of the pan-Arctic ice-wedge polygon tundra landscape by combining field measurements from nine Canadian, Russian, and Alaskan field sites, numerical modeling, and very high spatial resolution optical imagery that has recently become available for the entire Arctic tundra domain.Project Materials

Vegetation Management

TitleSponsorInvestigator(s)Project GoalDocumentation
Stormwise II: Vegetation Management and Modeling for Storm Resistant Trees, Resilient Power and Sustainable FuturesEversourceMorzillo, A. (PI)
Volin, J.; Worthley, T.; Parent, J.; Fahey, R.; Witharane, C.
To apply biomechanics to assess vegetation risk to utility lines based on experimental data collected by forest labs established in CT; to develop decision support tools for vegetation management, to ultimately reduce power outage frequency and duration.Stormwise Website
Poster

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Evaluation of LiDAR and Alternative Technologies for monitoring Roadside Vegetation and Utility Infrastructure (Phase III)EversourceParent, J. (PI)
Witharana, C.; Zhang, W.; Anagnostou, E.; Fahey, R.; Volin, J.
To optimize use of ground-based LiDAR data processing algorithms to more comprehensively measure pole-wire attributes, and to continue collecting vegetation change data to design optimal data collection strategies.Project Materials

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Arctic Polygonal Ecosystems Collaborative Research: Patterns, Dynamics and Vulnerability of Arctic, Polygonal Ecosystems: From Ice-Wedge Polygon to Pan-Arctic LandscapesNational Science FoundationWitharana, C. (PI)To understand the complex and interlinked processes responsible for the evolution of the pan-Arctic ice-wedge polygon tundra landscape by combining field measurements from nine Canadian, Russian, and Alaskan field sites, numerical modeling, and very high spatial resolution optical imagery that has recently become available for the entire Arctic tundra domain.Project Materials

Electric Grid Reinforcement

TitleSponsorInvestigator(s)Project GoalDocumentation
Evaluation of Grid Resilience Activities with a Total System Performance Assessment Model (Phase II)EversourceBagtzoglou, A. (PI)
Zhang, W.; Borochin, P.; Chyrsochoou, M.
To assess the physical and the economical optimality of Connecticut’s power grid system with a system model that integrates resilience interventions (e.g., tree trimming, installation of stronger poles, etc.) represented as fragility functions.Project Materials

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HVDC Grid hardening against geomagnetic disturbances (GMD)EversourceCao, Y. (PI)To identify potential impacts of GMD on High-Voltage Direct Current (HVDC) for both operated and planned Eversource transmission lines.Project Materials

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Substation Physical Security – Detection of UAVs (Phase II)EversourceParent, J. (PI)
Witharana, C.
To evaluate existing commercial Unmanned Aerial Vehicle (UAV) detection, and explore low-cost options to neutralize UAV threats.SOW
Assess the Impact and Evaluate the Response to Cybersecurity Issues (AIERCI)DOE/Brookhaven National LaboratoryZhang, P. (PI)To develop ensemble approach-based forecasting scheme to further improve both cyber resiliency and forecasting performance, and analyze gaps in current forecasting systems.Power Lab Materials

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Development of a Software-Defined Electric Distribution Network Instrument for Research in Smart and Connected CommunitiesNational Science FoundationZhang, P. (PI)To increase resilience of the present and future grid systems by developing more autonomous and flexible energy networks through smart programmable microgrids (SPM), and incorporating security features that would enhance resilience to power grid cyber-attacks.Power Lab Materials
Formal Analysis for Dynamic Stability Assessment of Large Interconnected Grids under UncertaintiesDOE/Brookhaven National LaboratoryZhang, P. (PI)To establish an analytical method for assessing the stability of both transmission and distribution grids under uncertainties, and create a toolbox for real-time dynamic analysis and stability margin calculations for electric networks.Power Lab Materials

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Grid-size system enhancements to integrate distributed energy resources (Phase II)EversourceZhang, P. (PI)
Astitha, M.; Nikolopoilos,  E.
To develop a representation-learning zone partitioning method to divide utility service territory for PV capacity factor analysis.Power Lab Materials

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Modeling, Analysis and Anomaly Detection for Cyber Secure Eversource Power Distribution Networks (Phase II)EversourceZhang, P. (PI)To model the cyber power distribution system for Eversource Energy in order to assess potential threats and defense mechanisms.Power Lab Materials

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Eversource Energy Center | Innovation Partnership Building: 159 Discovery Drive, Unit 5276, Storrs, CT 06269-5276 | E-Mail: eversourceenergycenter@uconn.edu