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Going smarter in the connection of distributed generation

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  • Anaya, Karim L.
  • Pollitt, Michael G.

Abstract

This study explores and quantifies the benefits of connecting more distributed generation (DG) with and without the use of smart connections in Great Britain. We examine the impacts on different parties (Distribution Network Operators, wider society and generators). As illustration we use a specific case study. Alternative connection scenarios are proposed (with partial and full interruptible capacity quota under a mix of generation with different technology-specific curtailment levels) for integrating DG units in a constrained area of the East of England covered by the Flexible Plug and Play project. The smart (interruptible) connection option is the preferred option across all the scenarios (higher NPV/MW). The analysis of the distribution of benefits between the different parties suggests that generators capture most of the benefits while DNOs and wider society capture much less benefit. A smart connection incentive, which recreates the benefits to DNOs from an earlier losses incentive, is proposed. By contrast with other societally desirable metrics which are usually incentivised or penalised, there is currently no direct connection between more DG MWs connected and DNO incentive payments. Our proposed smart connection incentive, by charging DG for smarter connection may help to distribute more efficiently the benefits for connecting more DG.

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  • Anaya, Karim L. & Pollitt, Michael G., 2017. "Going smarter in the connection of distributed generation," Energy Policy, Elsevier, vol. 105(C), pages 608-617.
    • Handle: RePEc:eee:enepol:v:105:y:2017:i:c:p:608-617
    DOI: 10.1016/j.enpol.2017.01.036
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    References listed on IDEAS

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    4. Mehigan, L. & Deane, J.P. & Gallachóir, B.P.Ó. & Bertsch, V., 2018. "A review of the role of distributed generation (DG) in future electricity systems," Energy, Elsevier, vol. 163(C), pages 822-836.
    5. Xu, Xinkuo & Guan, Chengmei & Jin, Jiayu, 2018. "Valuing the carbon assets of distributed photovoltaic generation in China," Energy Policy, Elsevier, vol. 121(C), pages 374-382.
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    7. Zhong Shi & Zhijie Wang & Yue Jin & Nengling Tai & Xiuchen Jiang & Xiaoyu Yang, 2018. "Optimal Allocation of Intermittent Distributed Generation under Active Management," Energies, MDPI, vol. 11(10), pages 1-19, September.
    8. Sidhu, Arjan S. & Pollitt, Michael G. & Anaya, Karim L., 2018. "A social cost benefit analysis of grid-scale electrical energy storage projects: A case study," Applied Energy, Elsevier, vol. 212(C), pages 881-894.
    9. Arjan S. Sidhu & Michael G. Pollitt & Karim L. Anaya, 2017. "A Social Cost Benefit Analysis of Grid-Scale Electrical Energy Storage Projects: Evaluating the Smarter Network Storage Project," Working Papers EPRG 1710, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    10. Palmer, Diane & Gottschalg, Ralph & Betts, Tom, 2019. "The future scope of large-scale solar in the UK: Site suitability and target analysis," Renewable Energy, Elsevier, vol. 133(C), pages 1136-1146.
    11. Yajing Gao & Wenhai Yang & Jing Zhu & Jiafeng Ren & Peng Li, 2017. "Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis," Energies, MDPI, vol. 10(10), pages 1-14, September.
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    13. Guo, Peiyang & Li, Victor O.K. & Lam, Jacqueline C.K., 2017. "Smart demand response in China: Challenges and drivers," Energy Policy, Elsevier, vol. 107(C), pages 1-10.

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