Low voltage customer phase identification methods based on smart meter data

A Hoogsteyn, M Vanin, A Koirala… - Electric Power Systems …, 2022 - Elsevier
The increased deployment of distributed energy generation and the integration of new, large
electric loads such as electric vehicles and heat pumps challenge the correct and reliable …

Consensus based phase connectivity identification for distribution network with limited observability

MU Hashmi, D Brummund, R Lundholm… - … Energy, Grids and …, 2023 - Elsevier
The mitigation of distribution network (DN) unbalance and the use of single-phase flexibility
for congestion mitigation requires accurate phase connection information, which is often not …

Enhancing electricity distribution efficiency in Pakistan: A framework for progress and action

FB Abdullah, MA Aqeeq, R Iqbal, M Abdullah… - Utilities Policy, 2024 - Elsevier
Pakistan's power distribution utilities (DISCOs) face significant challenges, including
outdated infrastructure, theft, and financial constraints, leading to inefficiencies and higher …

Reevaluating contour visualizations for power systems data

K Gruchalla, S Molnar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Effective visual analytics tools are needed now more than ever as emerging energy systems
data and models are rapidly growing in scale and complexity. We examined the suitability of …

Advanced Metering Infrastructure for Distribution Planning and Operation: Closing the loop on grid-edge visibility

K McKenna, P Gotseff, M Chee… - IEEE Electrification …, 2022 - ieeexplore.ieee.org
In the recent history of electric utilities, the potential to have visibility of the grid edge is
gaining significance for the reliable planning and operation of a clean energy smart grid …

Phase identification in real distribution networks with high PV penetration using advanced metering infrastructure data

H Padullaparti, S Veda, J Wang… - 2022 IEEE Power & …, 2022 - ieeexplore.ieee.org
Many distribution network monitoring and control applications-including state estimation,
Volt/V Ar optimization, and network reconfiguration-rely on accurate network models; …

A Machine Learning-based Method to Estimate Transformer Primary-Side Voltages with Limited Customer-Side AMI Measurements

J Wang, H Padullaparti, S Veda… - 2021 IEEE Power & …, 2021 - ieeexplore.ieee.org
Distribution control applications such as volt/var optimization, network reconfiguration, and
distribution automation require accurate knowledge of the distribution system state. The lack …

On the use of smart meter data to estimate the voltage magnitude on the primary side of distribution service transformers

M Netto, J Hao, H Padullaparti… - 2021 IEEE Power & …, 2021 - ieeexplore.ieee.org
This paper develops a novel method to estimate the voltage magnitude on the primary side
of distribution service transformers. The proposed method relies exclusively on smart …

Permutation-based Time-Series Correlation Analysis for Customer Phase Identification from Low-Voltage Measurements

JH Choi, HM Lim, H Lee, B Lee… - 2023 10th International …, 2023 - ieeexplore.ieee.org
To prevent phase imbalance and ensure reliable distribution system operation, effective
management of customer phase connectivity in a distribution network is essential. However …

[图书][B] Towards a Smarter Grid: Improvements in Control and Monitoring of Power Grid with Increased Renewable Energy Penetration

SC Dhulipala - 2019 - search.proquest.com
Abstract Volt-VAR Control (VVC) techniques may be used for purposes such as technical
loss reduction, voltage profile improvement and conservation voltage reduction. The advent …