most citedLow Voltage Customer Phase Identification Methods Based on Smart Meter Data

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

eess.SY2022

Flexible and curtailable resource activation in three-phase unbalanced distribution networks

Md Umar Hashmi, Arpan Koirala, Hakan Ergun +1

The need for flexibility and curtailable resources is crucial for ensuring the healthy operation of future distribution networks (DN). In this work, we propose a network-state driv…

eess.SY2022

Congestion Mitigation in Unbalanced Residential Networks with OPF-based Demand Management

Marta Vanin, Tom Van Acker, Hakan Ergun +3

This paper proposes a novel congestion mitigation strategy for low voltage residential feeders in which the rising power demand due to the electrification of the transport and heat…

eess.SY20221 cited

Low Voltage Customer Phase Identification Methods Based on Smart Meter Data

Alexander Hoogsteyn, Marta Vanin, Arpan Koirala +1

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 reliab…

eess.SY2022

Evaluation of voltage magnitude based unbalance metric for low voltage distribution networks

Md Umar Hashmi, Arpan Koirala, Rickard Lundholm +2

Voltage unbalance in distribution networks (DN) is expected to grow with increasing penetration of single-phase distributed generation and single-phase loads such as electric vehic…

eess.SY2020

A framework for constrained static state estimation in unbalanced distribution networks

Marta Vanin, Tom Van Acker, Reinhilde D'hulst +1

State estimation plays a key role in the transition from the passive to the active operation of distribution systems, as it allows to monitor these networks and, successively, to p…