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Optimal portfolio of a 100% renewable energy generation base supported by concentrating solar power

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Listed:
  • Yu, Yanghao
  • Du, Ershun
  • Chen, Zhichao
  • Su, Yibo
  • Zhang, Xianfeng
  • Yang, Hongbin
  • Wang, Peng
  • Zhang, Ning

Abstract

Due to the uneven distribution of renewable resources and electricity load centers in China, renewable energy usually needs to be delivered a long distance from the generation base to the load center. However, wind power and photovoltaic (PV) have to be bundled with flexible resources, such as thermal generators, to compensate for the generation uncertainty and variability. Concentrating solar power (CSP) is a controllable generation technology, and it is receiving great attention in the northwest China to be constructed in the 100% renewable energy generation base. This paper proposes a generation portfolio optimization model of a 100% renewable energy base supported by CSP. Firstly, a flexible operation model of CSP based on the interval theory is proposed. Then, a coordinated operation strategy of a 100% renewable energy base organized by CSP, wind power, PV and also energy storage is formulated. On this basis, a generation portfolio optimization model is established with the target of minimizing an extended levelized cost of energy (LCOE) considering the transmission cost. A case study of 100% renewable energy base in Qinghai Province, China, is conducted to verify the effectiveness of the proposed model. It is depicted that CSP plays an important role in the cost-effective portfolio and can be a better alternative to the combination of PV and storage. For the 100% renewable energy base in Qinghai, the LCOE with an optimal CSP, PV, wind, and storage combination is 0.5785 CNY/kWh, which is 20.3% lower than the case without the installation of a CSP station.

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  • Yu, Yanghao & Du, Ershun & Chen, Zhichao & Su, Yibo & Zhang, Xianfeng & Yang, Hongbin & Wang, Peng & Zhang, Ning, 2022. "Optimal portfolio of a 100% renewable energy generation base supported by concentrating solar power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    • Handle: RePEc:eee:rensus:v:170:y:2022:i:c:s1364032122008188
    DOI: 10.1016/j.rser.2022.112937
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    References listed on IDEAS

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    Cited by:

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    5. Michas, Serafeim & Flamos, Alexandros, 2024. "Least-cost or sustainable? Exploring power sector transition pathways," Energy, Elsevier, vol. 296(C).

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