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Energies 2019, 12(3), 531; https://doi.org/10.3390/en12030531

Reliability Enhancement in Power Networks under Uncertainty from Distributed Energy Resources

1
Centre for Sustainable Power Distribution, Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK
2
Institute for Energy Systems, University of Edinburgh, King’s Buildings, Mayfield Road, Edinburgh EH9 3JL, UK
3
ESTIA Institute of Technology, University of Bordeaux, F-64210 Bidart, France
*
Author to whom correspondence should be addressed.
This work is an extension of the paper, “Impact of the stochastic behaviour of distributed energy resources on MV/LV network reliability”, presented at the 18th IEEE International Conference on Environment and Electrical Engineering (EEEIC/I&CPS Europe), Palermo, Italy, 12–15 June 2018.
Received: 21 December 2018 / Revised: 31 January 2019 / Accepted: 1 February 2019 / Published: 7 February 2019
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Abstract

This paper presents an integrated approach for assessing the impact that distributed energy resources (DERs), including intermittent photovoltaic (PV) generation, might have on the reliability performance of power networks. A test distribution system, based on a typical urban MV and LV networks in the UK, is modelled and used to investigate potential benefits of the local renewable generation, demand-manageable loads and coordinated energy storage. The conventional Monte Carlo method is modified to include time-variation of electricity demand profiles and failure rates of network components. Additionally, a theoretical interruption model is employed to assess more accurately the moment in time when interruptions to electricity customers are likely to occur. Accordingly, the impact of the spatio-temporal variation of DERs on reliability performance is quantified in terms of the effect of network outages. The potential benefits from smart grid functionalities are assessed through both system- and customer-oriented reliability indices, with special attention to energy not supplied to customers, as well as frequency and duration of supply interruptions. The paper also discusses deployment of an intelligent energy management system to control local energy generation-storage-demand resources that can resolve uncertainties in renewable-based generation and ensure highly reliable and continuous supply to all connected customers. View Full-Text
Keywords: demand profiles; demand response; distributed (PV) generation; energy storage; failure rate; Monte Carlo simulation; network reliability; renewable resources demand profiles; demand response; distributed (PV) generation; energy storage; failure rate; Monte Carlo simulation; network reliability; renewable resources
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Ndawula, M.B.; Djokic, S.Z.; Hernando-Gil, I. Reliability Enhancement in Power Networks under Uncertainty from Distributed Energy Resources. Energies 2019, 12, 531.

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