An Information Theoretic Approach to Identify Dominant Voltage Influencers for Unbalanced Distribution Systems
Author:
Affiliation:
1. Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA
2. Center for Energy, Environmental, and Economic Systems Analysis in the Energy Systems Division, Argonne National Laboratory, Lemont, IL, USA
Funder
Department of Energy, Office of Energy Efficiency and Renewable Energy
Solar Energy Technologies Office
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://ieeexplore.ieee.org/ielam/59/9927170/9706339-aam.pdf
Reference32 articles.
1. Scalable graph neural network-based framework for identifying critical nodes and links in complex networks
2. A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties
3. Pool Strategy of a Price-Maker Wind Power Producer
4. Probabilistic Voltage Sensitivity Analysis to Quantify Impact of High PV Penetration on Unbalanced Distribution System
5. Automatic Distributed Voltage Control Algorithm in Smart Grids Applications
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Novel Dynamic Voltage Influencing Metric for Cost-effective Voltage Control in Unbalanced Distribution Systems;2023 5th Global Power, Energy and Communication Conference (GPECOM);2023-06-14
2. Robustness of Power Distribution System: A Comparative Study of Network and Performance Based Metrics;IEEE Access;2022
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