Evaluation of a Three-Phase Distribution System State Estimation for Operational Use in a Real Medium Voltage Grid

2019 ◽  
Author(s):  
Daniel Gross ◽  
Heiner Fruh ◽  
Pascal Wiest ◽  
Daniel Contreras ◽  
Krzysztof Rudion ◽  
...  
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phase Distribution ◽  
System State ◽  
Medium Voltage ◽  
Three Phase ◽  
Real Medium

EVALUATION OF A THREE-PHASE DISTRIBUTION SYSTEM STATE ESTIMATION FOR OPERATIONAL USE IN A REAL LOW VOLTAGE GRID

2021 ◽  
Author(s):  
Heiner Früh ◽  
Krzysztof Rudion ◽  
Alix von Haken ◽  
Daniel Groß ◽  
Bartholomäus Wasowicz
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Low Voltage ◽  
Phase Distribution ◽  
System State ◽  
Three Phase

scholarly journals A Nonlinearity-Retaining State Estimation for Three-Phase Distribution System

2012 ◽  
Vol 24 ◽  
pp. 233-239 ◽  
Author(s):  
Sun Guo-qiang ◽  
Wei Zhi-nong ◽  
Lu Zi-gang ◽  
Ye Fang
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phase Distribution ◽  
Three Phase

Decentralized three-phase distribution system static state estimation based on phasor measurement units

2018 ◽  
Vol 160 ◽  
pp. 327-336 ◽  
Author(s):  
Bráulio César de Oliveira ◽  
José L.R. Pereira ◽  
Guilherme de O. Alves ◽  
Igor D. Melo ◽  
Matheus A. de Souza ◽  
...  
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phase Distribution ◽  
Phasor Measurement Units ◽  
Static State ◽  
Phasor Measurement ◽  
Three Phase ◽  
Measurement Units

Estimation of Voltage Unbalance Attenuation Caused by Three-Phase Induction Motors: An Extension to Distribution System State Estimation

2019 ◽  
Vol 34 (5) ◽  
pp. 1853-1864 ◽  
Author(s):  
Thisandu Dulhara Kahingala ◽  
Sarath Perera ◽  
Upuli Jayatunga ◽  
Ashish Prakash Agalgaonkar ◽  
Philip Ciufo
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Induction Motors ◽  
System State ◽  
Voltage Unbalance ◽  
Three Phase

scholarly journals Multi-Area Distribution System State Estimation Using Decentralized Physics-Aware Neural Networks

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3025
Author(s):  
Minh-Quan Tran ◽  
Ahmed S. Zamzam ◽  
Phuong H. Nguyen ◽  
Guus Pemen
Keyword(s):  
State Estimation ◽  
Distribution System ◽  
Phase Distribution ◽  
State Of The Art ◽  
Weighted Least Squares ◽  
Computational Cost ◽  
Estimation Accuracy ◽  
System State ◽  
Smart Meters ◽  
Distribution Grids

The development of active distribution grids requires more accurate and lower computational cost state estimation. In this paper, the authors investigate a decentralized learning-based distribution system state estimation (DSSE) approach for large distribution grids. The proposed approach decomposes the feeder-level DSSE into subarea-level estimation problems that can be solved independently. The proposed method is decentralized pruned physics-aware neural network (D-P2N2). The physical grid topology is used to parsimoniously design the connections between different hidden layers of the D-P2N2. Monte Carlo simulations based on one-year of load consumption data collected from smart meters for a three-phase distribution system power flow are developed to generate the measurement and voltage state data. The IEEE 123-node system is selected as the test network to benchmark the proposed algorithm against the classic weighted least squares and state-of-the-art learning-based DSSE approaches. Numerical results show that the D-P2N2 outperforms the state-of-the-art methods in terms of estimation accuracy and computational efficiency.

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