Integrated load and state estimation using domestic smart meter measurements

Al-Wakeel, Ali ORCID: https://orcid.org/0000-0003-4970-7309 2016. Integrated load and state estimation using domestic smart meter measurements. PhD Thesis, Cardiff University. Item availability restricted.

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Abstract

The UK Government is promoting the decarbonisation of the power sector. The electrification of transport and heating, installation of distributed generators, development of smart grids and creation of an electricity and gas smart metering system are in progress. Higher penetrations of distributed generation and low carbon loads may lead to operational difficulties in distribution networks. Therefore, increased real-time monitoring and control becomes a necessary requirement. Distribution network operators will have available to them smart meter measurements to facilitate safe and cost-effective operation of distribution networks. This thesis investigates the application of smart meter measurements to extend the observability of distribution networks. Three main aspects were covered in this work: 1. The development of a cluster analysis algorithm to extract consumption patterns from smart meter measurements. The

Item Type:	Thesis (PhD)
Date Type:	Completion
Status:	Unpublished
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords:	Smart meter measurements; k-means clustering method; Cluster analysis; Load estimation; State estimation.
Date of First Compliant Deposit:	18 August 2016
Last Modified:	04 Jan 2023 02:09
URI:	https://orca.cardiff.ac.uk/id/eprint/93907

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