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Power system planning based on CSP-CHP system to integrate variable renewable energy

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  • Li, Xin
  • Wu, Xian
  • Gui, De
  • Hua, Yawen
  • Guo, Panfeng

Abstract

The renewable energy penetration level of power grid is forecasted by National Renewable Energy Laboratory (NREL) to reach 60% in 2050, which will bring a great challenge to accommodate the variability and uncertainty of variable renewable energy (VRE). In this paper, a hybrid CSP-CHP system is proposed to provide additional operational flexibility for power system to integrate renewable energy. First, the energy flow framework and the operational flexibility of the hybrid CSP-CHP system are analyzed. Second, a stochastic two-stage unit expansion and generation planning model based on proposed hybrid system is adopted to optimize the power system planning by considering generation technologies and policy orientation. Finally, a case study on a modified 40-bus power system is performed to research the value of hybrid CSP-CHP in 2020–2050 power system planning. Results show that the hybrid CSP-CHP plant will make up an important portion of renewable generation, and the high value of the proposed system is reflected in operational flexibility and application prospect.

Suggested Citation

  • Li, Xin & Wu, Xian & Gui, De & Hua, Yawen & Guo, Panfeng, 2021. "Power system planning based on CSP-CHP system to integrate variable renewable energy," Energy, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:energy:v:232:y:2021:i:c:s0360544221013128
    DOI: 10.1016/j.energy.2021.121064
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    References listed on IDEAS

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    3. Zhou, Siyu & Han, Yang & Chen, Shuheng & Yang, Ping & Mahmoud, Karar & Darwish, Mohamed M.F. & Matti, Lehtonen & Zalhaf, Amr S., 2023. "A multiple uncertainty-based Bi-level expansion planning paradigm for distribution networks complying with energy storage system functionalities," Energy, Elsevier, vol. 275(C).
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    5. 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).
    6. Xie, Rui & Wei, Wei & Li, Mingxuan & Dong, ZhaoYang & Mei, Shengwei, 2023. "Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach," Energy, Elsevier, vol. 263(PA).
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    9. Takashi Owaku & Hiromi Yamamoto & Atsushi Akisawa, 2023. "Optimal SOFC-CHP Installation Planning and Operation Model Considering Geographic Characteristics of Energy Supply Infrastructure," Energies, MDPI, vol. 16(5), pages 1-19, February.

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