Low voltage network constraint risk and CAPEX from distributed energy resources

The transition to low carbon renewable energy is changing the way consumers use energy and interact with electricity networks, particularly the low voltage electricity networks to which they directly connect. To aid the transition to low carbon energy sources and use, and support electricity distribution network operators (DNOs), ANSA has developed technology to model and visualise LV networks. Recently, ANSA has extended its technology from future hosting capacity to understanding the risk of constraints in each LV network from PV and EVs, or more generally, any generation or change in demand. This allows DNO’s to also consider demand changes such as gas-to-electricity transition and urban infill.

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Publication Details

Journal
IET conference proceedings.
Published
2024-12-12
DOI
https://doi.org/10.1049/icp.2024.3756
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Low voltage network constraint risk and CAPEX from distributed energy resources

Shanda Lemon, Allan Miller
IET conference proceedings.
Distributed and Parallel Computing Systems
article

Low voltage network constraint risk and CAPEX from distributed energy resources

Shanda Lemon, Allan Miller
article en

Abstract

The transition to low carbon renewable energy is changing the way consumers use energy and interact with electricity networks, particularly the low voltage electricity networks to which they directly connect. To aid the transition to low carbon energy sources and use, and support electricity distribution network operators (DNOs), ANSA has developed technology to model and visualise LV networks. Recently, ANSA has extended its technology from future hosting capacity to understanding the risk of constraints in each LV network from PV and EVs, or more generally, any generation or change in demand. This allows DNO’s to also consider demand changes such as gas-to-electricity transition and urban infill.

IET conference proceedings.Vol. 2024(15)
Christchurch Clinical Studies Trust (NZ)
Affordable and clean energy
Openalex Percentile: Top 74%
Distributed and Parallel Computing Systems
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