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Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies

Author

Listed:
  • English, Jeffrey
  • Niet, Taco
  • Lyseng, Benjamin
  • Keller, Victor
  • Palmer-Wilson, Kevin
  • Robertson, Bryson
  • Wild, Peter
  • Rowe, Andrew

Abstract

Decarbonizing electricity generation through deployment of renewable technologies such as wind and solar is a key component of many climate change mitigation efforts. With increasing penetrations, the need to manage variability in renewable generation becomes critical. However, renewable variability is often poorly represented in energy planning studies which focus on energy and capacity adequacy. In this study, we used a hybrid capacity expansion and dispatch model with explicit inclusion of ramping and regulation services to examine balancing requirements in a decarbonizing electricity system. We find that ramping and regulation services needed for management of variable renewables alter the optimal mix of generation and transmission capacity relative to simpler planning models. In particular, we find enhanced value in expanding transmission capacity to access flexibility.

Suggested Citation

  • English, Jeffrey & Niet, Taco & Lyseng, Benjamin & Keller, Victor & Palmer-Wilson, Kevin & Robertson, Bryson & Wild, Peter & Rowe, Andrew, 2020. "Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies," Renewable Energy, Elsevier, vol. 145(C), pages 2770-2782.
    • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:2770-2782
    DOI: 10.1016/j.renene.2019.07.097
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    Citations

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    Cited by:

    1. Derakhtenjani, Ali Saberi & Athienitis, Andreas K., 2021. "A frequency domain transfer function methodology for thermal characterization and design for energy flexibility of zones with radiant systems," Renewable Energy, Elsevier, vol. 163(C), pages 1033-1045.
    2. Saffari, Mohammadali & McPherson, Madeleine, 2022. "Assessment of Canada's electricity system potential for variable renewable energy integration," Energy, Elsevier, vol. 250(C).
    3. Gezen, Mesliha & Karaaslan, Abdulkerim, 2022. "Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives," Energy, Elsevier, vol. 261(PA).
    4. Mohammad Faisal Khan & Asif Pervez & Umar Muhammad Modibbo & Jahangir Chauhan & Irfan Ali, 2021. "Flexible Fuzzy Goal Programming Approach in Optimal Mix of Power Generation for Socio-Economic Sustainability: A Case Study," Sustainability, MDPI, vol. 13(15), pages 1-27, July.
    5. Ali Saberi Derakhtenjani & Andreas K. Athienitis, 2021. "Model Predictive Control Strategies to Activate the Energy Flexibility for Zones with Hydronic Radiant Systems," Energies, MDPI, vol. 14(4), pages 1-19, February.
    6. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Wu, Huijun & Gao, Mengping, 2021. "Sharing hydropower flexibility in interconnected power systems: A case study for the China Southern power grid," Applied Energy, Elsevier, vol. 288(C).
    7. Feng, Chenjia & Shao, Chengcheng & Wang, Xifan, 2021. "CSP clustering in unit commitment for power system production cost modeling," Renewable Energy, Elsevier, vol. 168(C), pages 1217-1228.
    8. Li, Ru & Tang, Bao-Jun & Yu, Biying & Liao, Hua & Zhang, Chen & Wei, Yi-Ming, 2022. "Cost-optimal operation strategy for integrating large scale of renewable energy in China’s power system: From a multi-regional perspective," Applied Energy, Elsevier, vol. 325(C).
    9. Rui Cao & Jianjian Shen & Chuntian Cheng & Jian Wang, 2020. "Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands," Energies, MDPI, vol. 13(18), pages 1-21, September.

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