The present design and modelling tools for LV systems are either spreadsheet based solutions that consider a typical end user demand e.g. After Diversity Maximum Demand (ADMD), or software like LV DEBUT that uses annual consumption figures. This was acceptable when the LV network was load centric, passive in nature and half-hourly smart meter data was not available. We will develop methodologies to be able to more accurately model LV networks in a probabilistic fashion using smart meter data, test these on two LV networks and develop a functional specification for a new LV modelling tool.
At EHV and HV when carrying out voltage studies downstream of the final voltage controlled bus (i.e. primary tap changer), several uncertainties are present. These uncertainties have led designers to use rudimentary and deterministic assumptions when assessing voltage regulation. However, on site voltage measurements show these assumptions can lead to over-reinforcement in urban areas and under-reinforcement in some of rural networks. The project will build two multi-voltage network models (EHV/HV/LV) and develop and test novel methods to carry out strategic assessments to understand voltage interactions across the network. This has the potential to release network capacity, inform future transformer specification and tap ranges and optimise running arrangements.
Timescales: 02/2018 – 10/2019
- Project registration document link to www.smarternetworks.org/project/npg_nia_020/documents
- Smart Meter Data Analytics
- Literature review
- Use cases