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The impact of increased decentralised generation on the reliability of an existing electricity network

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  • Veldhuis, Anton Johannes
  • Leach, Matthew
  • Yang, Aidong

Abstract

This study evaluates the impact of decentralisation on the reliability of electricity networks, particularly under stressed conditions. By applying four strategies to add decentralised generators to the grid, the impact on network reliability has been assessed, where the blackout impact has been defined as the product of the relative blackout size and the relative blackout frequency. The general approach taken to decentralise the network is to replace the aggregated generation capacity at an existing node with three new nodes representing the total generation capacity of multiple decentralised generators. Two different networks have been used: a reduced and aggregated version of the electricity network of Great Britain (GB) and the IEEE 39 network, and each of them has been assessed for decentralisation based on conventional energy sources and for decentralisation based on intermittent renewable energy sources. The results suggest that adding significant amounts of DGs, especially if it is intermittent, can seriously reduce network reliability; however, various approaches regarding the decentralisation strategy and management of the resulting network can mitigate the negative effects.

Suggested Citation

  • Veldhuis, Anton Johannes & Leach, Matthew & Yang, Aidong, 2018. "The impact of increased decentralised generation on the reliability of an existing electricity network," Applied Energy, Elsevier, vol. 215(C), pages 479-502.
    • Handle: RePEc:eee:appene:v:215:y:2018:i:c:p:479-502
    DOI: 10.1016/j.apenergy.2018.02.009
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    1. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2013. "State-of-the-art of transmission expansion planning: Comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 312-319.
    2. Kjølle, G.H. & Utne, I.B. & Gjerde, O., 2012. "Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 80-89.
    3. Denholm, Paul & Sioshansi, Ramteen, 2009. "The value of compressed air energy storage with wind in transmission-constrained electric power systems," Energy Policy, Elsevier, vol. 37(8), pages 3149-3158, August.
    4. McCarthy, Ryan W. & Ogden, Joan M. & Sperling, Daniel, 2007. "Assessing reliability in energy supply systems," Energy Policy, Elsevier, vol. 35(4), pages 2151-2162, April.
    5. Zerriffi, Hisham & Dowlatabadi, Hadi & Farrell, Alex, 2007. "Incorporating stress in electric power systems reliability models," Energy Policy, Elsevier, vol. 35(1), pages 61-75, January.
    6. Thellufsen, Jakob Zinck & Lund, Henrik, 2016. "Roles of local and national energy systems in the integration of renewable energy," Applied Energy, Elsevier, vol. 183(C), pages 419-429.
    7. Castro, Manuel, 2017. "Assessing the risk profile to security of supply in the electricity market of Great Britain," Energy Policy, Elsevier, vol. 111(C), pages 148-156.
    8. Merkel, Erik & McKenna, Russell & Fichtner, Wolf, 2015. "Optimisation of the capacity and the dispatch of decentralised micro-CHP systems: A case study for the UK," Applied Energy, Elsevier, vol. 140(C), pages 120-134.
    9. Beccali, M. & Brunone, S. & Finocchiaro, P. & Galletto, J.M., 2013. "Method for size optimisation of large wind–hydrogen systems with high penetration on power grids," Applied Energy, Elsevier, vol. 102(C), pages 534-544.
    10. Gerd Kjølle & Oddbjørn Gjerde, 2012. "Risk Analysis of Electricity Supply," Springer Series in Reliability Engineering, in: Per Hokstad & Ingrid B. Utne & Jørn Vatn (ed.), Risk and Interdependencies in Critical Infrastructures, edition 127, chapter 0, pages 95-108, Springer.
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