Reliability Enhancement in Power Networks under Uncertainty from Distributed Energy Resources

Mike Brian Ndawula, Ignacio Hernando Gil, Sasa Z. Djokic

Research output: Contribution to journalArticlepeer-review

37 Citations (SciVal)


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.
Original languageEnglish
Article number531
Pages (from-to)124
Number of pages24
Issue number3
Publication statusPublished - 7 Feb 2019


  • Demand profiles
  • Demand response
  • Distributed (PV) generation
  • Energy storage
  • Failure rate
  • Monte Carlo simulation
  • Network reliability
  • Renewable resources

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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