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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Online AMR domestic load profile characteristic change monitor to support ancillary demand services

Stephen, Bruce and Isleifsson, Fridrik and Galloway, Stuart and Burt, Graeme and Bindner, Henrik (2014) Online AMR domestic load profile characteristic change monitor to support ancillary demand services. IEEE Transactions on Smart Grid, 5 (2). pp. 888-895. ISSN 1949-3053

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With conventional generation capacity being constrained on environmental grounds and renewable alternatives carrying capacity uncertainties, increasingly accurate forecasts of demand are likely to be required in future power systems: highly distributed renewable generation penetrating low voltage networks must be matched to small dynamic loads, while spinning reserves of conventional generation that are required to maintain security of supply, must be reduced to more efficient margins. Domestic loads, likely to form significant proportions of the loads on islanded power systems such as those in remote rural communities, are currently modeled with homogenous and coarse load profiles developed from aggregated data. An objective of AMR deployment is to clarify the nature and variability of the residential LV customer. In this paper, an algorithm for tracking the consistency of the behavior of small loads is presented. This would allow them to be assessed for their availability to provide demand services to the grid. In the method presented, significant changes in behavior are detected using Bayesian changepoint analysis which tracks a multivariate Gaussian representation of a residential load profile on a day to day basis. A hypothetical single phase feeder, representative of an islanded rural power system, is used to illustrate the detected heterogeneity of load behavior consistency.