Výsledky vyhledávání - "Distribution system state estimation"

A Gaussian Process-Regularized Graphical Learning Method for Distribution System State Estimation Using Extremely Scarce State Variable Labels

Autoři: Hu, Jiaxiang Xu, Qianwen

Zdroj: IEEE Transactions on Smart Grid. 16(4):3359-3376

Témata: Estimation, Learning systems, Data models, State estimation, Training, Topology, Biological system modeling, Adaptation models, Uncertainty, Kernel, Distribution system state estimation, semi-supervised learning, Gaussian process, interval state estimation

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-370251
https://doi.org/10.1109/TSG.2025.3552958

Variational Bayesian Unscented Kalman Filter for Active Distribution System State Estimation

Autoři: Dragan Ćetenović Junbo Zhao Victor Levi a další

Zdroj: Cetenovic, D, Zhao, J, Levi, V, Liu, Y & Terzija, V 2025, 'Variational Bayesian Unscented Kalman Filter for Active Distribution System State Estimation', IEEE Transactions on Power Systems, vol. 40, no. 1, 3406399, pp. 476-491. https://doi.org/10.1109/TPWRS.2024.3406399

Témata: Bad data detection and identification, sudden state changes, distribution system state estimation, Variational Bayesian Unscented Kalman Filter, Bad data detection and identification, distribution system state estimation, sudden state changes, Variational Bayesian Unscented Kalman Filter

Popis souboru: application/pdf

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/f947befb-e967-4d77-af3d-e02ed82d4f42
https://doi.org/10.1109/TPWRS.2024.3406399
https://research.manchester.ac.uk/en/publications/f947befb-e967-4d77-af3d-e02ed82d4f42
https://ieeexplore.ieee.org/document/10540189
https://doi.org/10.1109/TPWRS.2024.3406399
https://pure.manchester.ac.uk/ws/files/362553736/2._Manuscript_TPWRS-01332-2023_FINAL_pdf_.pdf

An Adaptive Noise-Resistant Learning Method for DSSE Considering Inaccurate Label Data

Autoři: Jiaxiang Hu Weihao Hu Di Cao a další

Zdroj: Hu, J, Hu, W, Cao, D, Xu, Q, Huang, Q, Chen, Z & Blaabjerg, F 2025, 'An Adaptive Noise-resistant Learning Method for DSSE Considering Inaccurate Label Data', IEEE Transactions on Power Systems, vol. 40, no. 2, pp. 1989-1992. https://doi.org/10.1109/TPWRS.2024.3518098

Témata: Distribution system state estimation, graphical learning, inaccurate state labels, collaborative learning

Applicability and Enhancement of Matrix-Completion-Based Distribution System Monitoring With Limited Measurements

Autoři: Jun-Chuan Hu Zhao-Cheng Chen M. A. Mohammed Manaz a další

Zdroj: IEEE Access, Vol 13, Pp 82170-82180 (2025)

Témata: Distribution management system, meter placement, distribution system state estimation, Electrical engineering. Electronics. Nuclear engineering, matrix completion, TK1-9971

Přístupová URL adresa: https://doaj.org/article/44c77ce4c8a54871ba79690ee27bc801

Forecasting-Aided State Estimation With Deep Learning-Generated Pseudo Measurements

Autoři: Malek Alduhaymi Ravindra Singh Firdous Ul Nazir a další

Zdroj: IEEE Transactions on Instrumentation and Measurement. 74:1-12

Témata: distribution system state estimation (DSSE), load modeling, Active distribution networks (ADNs), pseudo measurements, Electrical and Electronic Engineering, Instrumentation, forecasting-aided state estimation (FASE)

Robust Multiarea Distribution System State Estimation Based on Structure-Informed Graphic Network and Multitask Gaussian Process

Autoři: Jiaxiang Hu Weihao Hu Di Cao a další

Zdroj: Hu, J, Hu, W, Cao, D, Li, S, Chen, J, Huang, Y, Chen, Z & Blaabjerg, F 2024, 'Robust Multiarea Distribution System State Estimation Based on Structure-Informed Graphic Network and Multitask Gaussian Process', IEEE Transactions on Industrial Informatics, vol. 20, no. 8, pp. 10599-10612. https://doi.org/10.1109/TII.2024.3394553

Témata: Distribution system state estimation (DSSE), graph attention learning, multiarea state estimation, interval state estimation, multitask Gaussian process (MTGP), robust state estimation

Feature Graph-Enabled Graphical Learning for Robust DSSE With Inaccurate Topology Information

Autoři: Jiaxiang Hu Weihao Hu Di Cao a další

Zdroj: Hu, J, Hu, W, Cao, D, Li, S, Chen, J, Huang, Y, Chen, Z & Blaabjerg, F 2024, 'Feature Graph-Enabled Graphical Learning for Robust DSSE With Inaccurate Topology Information', IEEE Transactions on Power Systems, vol. 39, no. 4, pp. 6091-6094. https://doi.org/10.1109/TPWRS.2024.3383688

Témata: physics-informed learning, feature graph, Robust distribution system state estimation

Přístupová URL adresa: https://vbn.aau.dk/da/publications/59dee489-b80f-45e0-b696-0ad05143958e
https://doi.org/10.1109/TPWRS.2024.3383688
http://www.scopus.com/inward/record.url?scp=85190174590&partnerID=8YFLogxK

Physics-Informed Graphical Learning and Bayesian Averaging for Robust Distribution State Estimation

Autoři: Di Cao Junbo Zhao Weihao Hu a další

Zdroj: Cao, D, Zhao, J, Hu, W, Yu, N, Hu, J & Chen, Z 2024, 'Physics-Informed Graphical Learning and Bayesian Averaging for Robust Distribution State Estimation', IEEE Transactions on Power Systems, vol. 39, no. 2, 10143253, pp. 2879-2892. https://doi.org/10.1109/TPWRS.2023.3282413

Témata: topology change, Network topology, Learning systems, physics-informed learning, Distribution networks, Loss measurement, Anomalous measurements, Measurement uncertainty, distribution system state estimation, Topology, State estimation

Přístupová URL adresa: http://www.scopus.com/inward/record.url?scp=85161586166&partnerID=8YFLogxK
https://doi.org/10.1109/TPWRS.2023.3282413
https://vbn.aau.dk/da/publications/6c2349d9-4527-4748-8985-bcab34295fc8

Bibliometric study of distribution system state estimation: advances and challenges

Autoři: Jorge A. Lara-Sánchez Mauricio E. Samper D. Graciela Colomé

Zdroj: Dyna, Vol 91, Iss 231 (2024)

Témata: Technology, Mining engineering. Metallurgy, TN1-997, 0202 electrical engineering, electronic engineering, information engineering, distribution system state estimation, bibliometrics study, pseudo-measurements, observability analysis, topology analysis, bad data detection, 02 engineering and technology

Přístupová URL adresa: https://doaj.org/article/5737ebb22999477d91e244c5bd5f72e2

Robust Distribution System State Estimation Considering Anomalous Real-time Measurements and Topology Change

Autoři: Hu, Jiaxiang Hu, Weihao Cao, Di a další

Zdroj: Hu, J, Hu, W, Cao, D, Chen, J, Abulanwar, S, Hassan, M K, Chen, Z & Blaabjerg, F 2025, 'Robust Distribution System State Estimation Considering Anomalous Real-Time Measurements and Topology Change', Journal of Modern Power Systems and Clean Energy, vol. 13, no. 3, pp. 928-939. https://doi.org/10.35833/MPCE.2024.000683

Témata: Distribution system state estimation, topology change, anomalous real-time measurement, machine learning, deep auto-encoder, physics-guided graph network, Gaussian process, residual learning

Přístupová URL adresa: https://vbn.aau.dk/da/publications/cedc15f3-8e2a-45af-9bd5-f5b39e37125d
https://doi.org/10.35833/MPCE.2024.000683
http://www.scopus.com/inward/record.url?scp=105007089402&partnerID=8YFLogxK

More Accurate Measurement Modeling to Improve the Performance of Distribution System State Estimation

Autoři: Ken Crawford Mesut E. Baran

Zdroj: IEEE Access, Vol 12, Pp 124527-124536 (2024)

Témata: measurement modeling, distribution system state estimation (DSSE), weighted least squares (WLS), Electrical engineering. Electronics. Nuclear engineering, Distribution systems, statistical metrics, TK1-9971

Přístupová URL adresa: https://doaj.org/article/8d151fd711e04bbdb91abdacba35e94c

Review on Distribution System State Estimation Considering Renewable Energy Sources

Autoři: Hanshan Qing Abhinav Kumar Singh Efstratios Batzelis

Zdroj: Energies, Vol 18, Iss 10, p 2524 (2025)

Témata: review, distribution system state estimation, renewable energy resource, Technology

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/10/2524; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/ffb087a401c44c578ca0f6106e7838e4

Deep neural network based distribution system state estimation using hyperparameter optimization

Autoři: Gergő Békési Lilla Barancsuk Bálint Hartmann

Zdroj: Results in Engineering, Vol 24, Iss , Pp 102908- (2024)

Témata: Deep neural network, Distribution system state estimation, Hyperparameter optimization, Low-voltage, Tree-structured Parzen Estimator, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024011630; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/de8176f83f4b4029a3066058bc6c8fc1

Smart energy network digital twins: Findings from a UK-based demonstrator project

Autoři: Matthew Deakin Marta Vanin Zhong Fan a další

Zdroj: International Journal of Electrical Power & Energy Systems, Vol 162, Iss , Pp 110302- (2024)

Témata: Digital twins, Digitalization, Distribution system state estimation, Microgrid, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061524005258; https://doaj.org/toc/0142-0615

Přístupová URL adresa: https://doaj.org/article/dbf8d7a910a74b45b5f18fc9707c0422

Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process

Autoři: Di Cao Junbo Zhao Weihao Hu a další

Zdroj: Cao, D, Zhao, J, Hu, W, Liao, Q, Huang, Q & Chen, Z 2023, 'Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process', IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1317-1320. https://doi.org/10.1109/TSG.2022.3204221

Témata: Distribution system state estimation, topology change, machine learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Gaussian process regression

Distribution System State Estimation Using PV Separation Strategy in LV Feeders With High Levels of Unmonitored PV Generation

Autoři: Amin Mokaribolhassan Ghavameddin Nourbakhsh Gerard Ledwich a další

Zdroj: IEEE Systems Journal. 17:684-695

Témata: high photovoltaic (PV) penetration level, Noise measurement, 02 engineering and technology, Time measurement, White noise, Current measurement, 7. Clean energy, visualizing unmonitored residential PV, least squares, Distribution system state estimation (DSSE), Kalman filter (KF), Transformers, 0202 electrical engineering, electronic engineering, information engineering, Power measurement, Kalman filters

Popis souboru: application/pdf

Optimal Micro-PMU Placement for Improving State Estimation Accuracy via Mixed-integer Semidefinite Programming

Autoři: Yang Peng Zhi Wu Wei Gu a další

Zdroj: Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 2, Pp 468-478 (2023)

Témata: TK1001-1841, Production of electric energy or power. Powerplants. Central stations, mixed-integer semidefinite programming (MISDP), distribution system state estimation, TJ807-830, Phasor measurement unit (PMU), Renewable energy sources

Přístupová URL adresa: https://doaj.org/article/e729033e671f4e36aaa0b952f1ca9b86

Review of Emerging Concepts in Distribution System State Estimation: Opportunities and Challenges

Autoři: Ajay Pratap Yadav James Nutaro Byungkwon Park a další

Zdroj: IEEE Access, Vol 11, Pp 70503-70515 (2023)

Témata: Distribution system state estimation, high renewable penetration, sensor placement, data-driven approach, Electrical engineering. Electronics. Nuclear engineering, pseudo measurements, new sensor technology, TK1-9971

Přístupová URL adresa: https://doaj.org/article/6c1cd2a7dedd4cc29bd5d1058e973afa

PFL-DSSE: A Personalized Federated Learning Approach for Distribution System State Estimation

Autoři: Huayi Wu Zhao Xu Jiaqi Ruan a další

Zdroj: CSEE Journal of Power and Energy Systems, Vol 10, Iss 5, Pp 2265-2270 (2024)

Témata: Distribution system state estimation, personalized federated learning, privacy protection, Technology, Physics, QC1-999

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10609318/; https://doaj.org/toc/2096-0042

Přístupová URL adresa: https://doaj.org/article/f4b7978da09c4d36afa10fa2fb7cd443

Specifying angular reference for robust three-phase state estimation

Autoři: Ugur Can Yilmaz Ali Abur

Zdroj: International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109945- (2024)

Témata: Distribution system state estimation, Unbalanced three phase analysis, Three phase angular reference, Angular reference, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061524001662; https://doaj.org/toc/0142-0615

Přístupová URL adresa: https://doaj.org/article/66d12b876f7848458895afe41da60d7b