Calculating PV Hosting Capacity in Low-Voltage Secondary Networks Using Only Smart Meter Data
Author:
Affiliation:
1. Electric Power Systems Research, Sandia National Laboratories,Albuquerque,NM,USA
2. School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA
Funder
U.S. Department of Energy's
Office of Energy Efficiency and Renewable Energy (EERE)
National Nuclear Security Administration
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10066177/10066335/10066372.pdf?arnumber=10066372
Reference16 articles.
1. Voltage Sensitivity Analysis of a Laboratory Distribution Grid With Incomplete Data
2. A Sensitivity Analysis Toolkit for the Simplification of MV Distribution Network Voltage Management
3. Model-Free Voltage Calculations for PV-Rich LV Networks: Smart Meter Data and Deep Neural Networks
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1. Voltage Calculations in Secondary Distribution Networks via Physics-Inspired Neural Network Using Smart Meter Data;IEEE Transactions on Smart Grid;2024-09
2. Analyzing Consumer Behavior Insights from Smart Meter Data: A Comparative Study of Deep Learning and Traditional Machine Learning Approaches;2024 11th Iranian Conference on Renewable Energy and Distribution Generation (ICREDG);2024-03-06
3. A Model-free Approach for Estimating Service Transformer Capacity Using Residential Smart Meter Data;IEEE Journal of Photovoltaics;2024-01
4. A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks;IEEE Access;2024
5. PV Hosting Capacity Estimation in Low-Voltage Secondary Networks Using Statistical Properties of AMI Data;2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA);2023-11-06
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