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Distribution Grid Line Outage Identification With Unknown Pattern and Performance Guarantee
Not Available
AGGREGATE: dAta-driven modelinG preservinG contRollable dEr for outaGe mAnagemenT and rEsiliency (Report for Task 10: Controllability and Observability Analysis (Deliverable D7))
It is common to have less than full observability for distribution systems, as the number of available measurements are not sufficient. Considering increasing penetration of distributed energy resources (DERs), it is imperative to understand and control distribution systems better. Developed for the transmission system, the original numerical observability analysis methods were based on the canonical DC Power Flow (DC-PF) model. However, the DC-PF model is ill-suited for the distribution system in which line resistance to reactance (R/X) ratios can be near unity. In this report, we apply the non-iterative Observability Test (OT) and Observable Island Identification Procedure (OIIP) in to the gain matrix from the distribution system state estimator. Because sensors are few in distribution systems, pseudo-measurements based on historical load profiles and zero-injection virtual measurements are often employed to ensure observability. However, both the observability and the accuracy of the state estimates are uncertain when historical data is limited/unavailable.
AGGREGATE: dAta-driven modelinG preservinG contRollable dEr for outaGe mAnagemenT and rEsiliency (Report for Task 14: Model Verification/Validation Test Plan (Deliverable D10))
This report summarizes the technical progress and validation plan for each of AGGREGATE project modules, and integrated modules. The overall validation plan can be divided into two major parts. Firstly, it provides offline validation results of each module using the IEEE-123 node distribution system with certain modifications to support individual module results verification. The offline validation plan tentatively validated the usability and practicability of developed AGGREGATE tools. Secondly, the realworld test system - Seattle City Light (SCL) test feeder for verifying each module and the integrated modules using GE advanced distribution management system (ADMS) software.
Report for Task 15: Developed Tool Verification/Validation Report (Deliverable D11): AGGREGATE: dAta-driven modelinG preservinG contRollable dEr for outaGe mAnagemenT and rEsiliency
This report summarizes the verification report for the developed modules. The team conducted verification in two phases. In phase 1, the modules were validated using offline validation methods and in phase 2 the modules were subjected to real-time validation. This report outlines the approach and the results for the modules under offline and real-time settings. The rest of the report details the functional workflow of AGGREGATE modules, we then transition to offline validation followed by real-time validation of modules. We conclude the report by discussing some of the key points of this report.
Study of clustering methods of Linac outages: K-Means vs G.M.M [Poster]
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Measuring the Relative Performance of LINAC Beam Outages with L-CAPE Anomaly Detection (Gaussian Mixture Methods & Hierarchical Agglomerative Clustering) [Slides]
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Characterization of extreme weather events during large-scale power outages.
Abstract not provided.
Winter Storm Scenario Generation Based on Historical Generator Outages.
Abstract not provided.
Probabilistic Modeling for Extreme Events and Concurrent Outages.
Abstract not provided.
Extreme weather drivers during power outages in the United States.
Abstract not provided.
Fairly Extreme: Minimizing Outages Equitably [Slides]
Aristotle’s equity principle: allocate resources proportional to pre-existing claims or some rights to the resources.
Microgrid Sizing for Critical Infrastructure Considering Black-Sky Conditions & Grid Outages
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Assessing Wildfire Risk, Power Outage Impacts and Community Vulnerability through Cellphone Mobility Datasets
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Transitional states during compound extreme events and power outages
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Inputs and Outputs for "A Resource Adequacy Assessment of Correlated Wide-Area Outages in the Power Grid”
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Microgrid Sizing for Critical Infrastructure Considering Black-Sky Conditions & Grid Outages
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