Distribution System Topology Identification via Efficient MILP-Based WLAV State Estimation
Author:
Affiliation:
1. Centre for Urban Energy, Ryerson University, Toronto, ON, Canada
2. Department of Systems and Energy, University of Campinas, Campinas, Brazil
Funder
Mitacs
Coordenao de Aperfeioamento de Pessoal de Nvel Superior
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/9998169/09748966.pdf?arnumber=9748966
Reference33 articles.
1. Power System State Estimation
2. Novel approach to power system state estimation for transmission and distribution systems
3. Network topology determination using least absolute value state estimation
4. A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network
5. Statistical Criteria for Evaluation of Distribution System State Estimators
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1. A Data and Model Driven Method for Low-Voltage Distribution Area Topology Identification;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11
2. Phase identification of distribution system users through a MILP Extension of State Estimation;Electric Power Systems Research;2024-04
3. Learning Power Grid Outages With Higher-Order Topological Neural Networks;IEEE Transactions on Power Systems;2024-01
4. A Robust Data-Driven Process Modeling Applied to Time-Series Stochastic Power Flow;IEEE Transactions on Power Systems;2024-01
5. Learning Distribution Grid Topologies: A Tutorial;IEEE Transactions on Smart Grid;2024-01
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