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User-transformer connectivity relationship identification based on knowledge-driven approaches
L Zhou, F Wen, X Yang, Y Zhong - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate user-transformer connectivity relationship (UTCR) plays a key role in fine
management of low-voltage distribution network (LVDN) ie, load expansion, line loss …
management of low-voltage distribution network (LVDN) ie, load expansion, line loss …
Transformer-customer relationship identification for low-voltage distribution networks based on joint optimization of voltage silhouette coefficient and power loss …
Transformer-customer relationship refers to the unique electrical connection relationship
between end-customers and their corresponding transformers. Accurate identification of …
between end-customers and their corresponding transformers. Accurate identification of …
Improving behind-the-meter PV impact studies with data-driven modeling and analysis
Frequent changes in penetration levels of distributed energy resources (DERs) and grid
control objectives have caused the maintenance of accurate and reliable grid models for …
control objectives have caused the maintenance of accurate and reliable grid models for …
Predicting voltage changes in low-voltage secondary networks using deep neural networks
High penetrations of residential solar PV can cause voltage issues on low-voltage (LV)
secondary networks. Distribution utility planners often utilize model-based power flow …
secondary networks. Distribution utility planners often utilize model-based power flow …
Data-driven methods for voltage regulator identification and tap estimation
Accurate models of voltage regulating devices are required for reliably executing distribution
system analysis and planning tasks. However, these models are often created and updated …
system analysis and planning tasks. However, these models are often created and updated …
A model-free approach for estimating service transformer capacity using residential smart meter data
Before residential photovoltaic (PV) systems are interconnected with the grid, various
planning and impact studies are conducted on detailed models of the system to ensure …
planning and impact studies are conducted on detailed models of the system to ensure …
Distribution system state estimation sensitivity to errors in phase connections
High penetration of distributed energy resources presents challenges for monitoring and
control of power distribution systems. Some of these problems might be solved through …
control of power distribution systems. Some of these problems might be solved through …
IMoFi (Intelligent Model Fidelity): Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration Updated Accomplishments
MJ Reno, L Blakely, RD Trevizan, B Pena, M Lave… - 2022 - osti.gov
This report summarizes the work performed under a project funded by US DOE Solar Energy
Technologies Office (SETO), including some updates from the previous report SAND2022 …
Technologies Office (SETO), including some updates from the previous report SAND2022 …
A Novel Power-Band Based Data Segmentation Method for Enhancing Meter Phase and Transformer-Meter Pairing Identification
This paper presents a novel power-band-based data segmentation (PBDS) method to
enhance the identification of meter phase and meter-transformer pairing. Meters that share …
enhance the identification of meter phase and meter-transformer pairing. Meters that share …
Data-Driven Detection of Phase Changes in Evolving Distribution Systems
The installation of digital sensors, such as advanced meter infrastructure (AMI) meters, has
provided the means to implement a wide variety of techniques to increase visibility into the …
provided the means to implement a wide variety of techniques to increase visibility into the …