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Impacts of large-scale wave integration into a transmission-constrained grid

Author

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  • Moazzen, Iman
  • Robertson, Bryson
  • Wild, Peter
  • Rowe, Andrew
  • Buckham, Bradley

Abstract

This paper presents a study of large-scale wave energy integration in which transmission constraints are considered. The Vancouver Island electrical grid is considered and is modelled using PLEXOS® Integrated Energy Model software. The model incorporates the current transmission grid, the existing fleet of main generation stations and ten potential wave farm sites with a total generation capacity of 500 MW. The objectives are to investigate: 1) the potential contribution of wave power toward energy self-sufficiency, 2) the effects of transmission constraints on the viability of alternative wave farm sites, 3) the impacts of wave integration on the load profile. Findings suggest that wave energy integration can significantly reduce the energy dependency on neighbouring jurisdictions but the current grid infrastructure is not adequate to fully support 500 MW of wave power. In this regard, it is shown that potential wave power integration can significantly benefit from transmission expansion for particular pathways. Further, results show that wave integration leads to reductions in the share of energy supplied from other sources and that this reduction follows an annual pattern. This periodic trend is particularly important for a hydro-dominated (energy-limited) grid where water level in reservoirs is managed on monthly and yearly bases.

Suggested Citation

  • Moazzen, Iman & Robertson, Bryson & Wild, Peter & Rowe, Andrew & Buckham, Bradley, 2016. "Impacts of large-scale wave integration into a transmission-constrained grid," Renewable Energy, Elsevier, vol. 88(C), pages 408-417.
    • Handle: RePEc:eee:renene:v:88:y:2016:i:c:p:408-417
    DOI: 10.1016/j.renene.2015.11.049
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    Cited by:

    1. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    2. Xu, Xinxin & Robertson, Bryson & Buckham, Bradley, 2020. "A techno-economic approach to wave energy resource assessment and development site identification," Applied Energy, Elsevier, vol. 260(C).
    3. Kovaltchouk, Thibaut & Armstrong, Sara & Blavette, Anne & Ben Ahmed, Hamid & Multon, Bernard, 2016. "Wave farm flicker severity: Comparative analysis and solutions," Renewable Energy, Elsevier, vol. 91(C), pages 32-39.
    4. Akdemir, Kerem Ziya & Robertson, Bryson & Oikonomou, Konstantinos & Kern, Jordan & Voisin, Nathalie & Hanif, Sarmad & Bhattacharya, Saptarshi, 2023. "Opportunities for wave energy in bulk power system operations," Applied Energy, Elsevier, vol. 352(C).
    5. Rusu, Eugen, 2019. "A 30-year projection of the future wind energy resources in the coastal environment of the Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 228-234.
    6. McPherson, Madeleine & Harvey, L.D. Danny & Karney, Bryan, 2017. "System design and operation for integrating variable renewable energy resources through a comprehensive characterization framework," Renewable Energy, Elsevier, vol. 113(C), pages 1019-1032.
    7. Rasool, Safdar & Muttaqi, Kashem M. & Sutanto, Danny, 2020. "Modelling of a wave-to-wire system for a wave farm and its response analysis against power quality and grid codes," Renewable Energy, Elsevier, vol. 162(C), pages 2041-2055.
    8. Robertson, Bryson & Bekker, Jessica & Buckham, Bradley, 2020. "Renewable integration for remote communities: Comparative allowable cost analyses for hydro, solar and wave energy," Applied Energy, Elsevier, vol. 264(C).
    9. Bhattacharya, Saptarshi & Pennock, Shona & Robertson, Bryson & Hanif, Sarmad & Alam, Md Jan E. & Bhatnagar, Dhruv & Preziuso, Danielle & O’Neil, Rebecca, 2021. "Timing value of marine renewable energy resources for potential grid applications," Applied Energy, Elsevier, vol. 299(C).

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