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Multi-objective optimisation of a thermal-storage PV-CSP-wind hybrid power system in three operation modes

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  • Liu, Hongtao
  • Zhai, Rongrong
  • Patchigolla, Kumar
  • Turner, Peter
  • Yu, Xiaohan
  • Wang, Peng

Abstract

The hybrid renewable energy system based on concentrated solar power (CSP) technology has been demonstrated as a promising approach to utilise renewable energy. To combine the configuration and operation with practical application scenarios, this study investigates three different operation modes of the hybrid system which consists of one or more components of a CSP power plant, a thermal energy storage system, photovoltaic (PV) panels, wind turbines, batteries and electric heaters. A multi-objective optimisation for the capacity parameters of subsystems is conducted for three operation modes and two typical locations, considering the actual power demand and electricity prices. Results show that cooperating with the given CSP plant, the simultaneous development of PV panels, wind turbines and batteries is recommended in Delingha, while in Lhasa, the improvement relies more on the expansion of PV panels and batteries. By providing 31.50%–38.72% of the total power, the CSP subsystem contributes significantly to providing reliable electricity in fluctuating weather conditions and at night. And 20.58–59.85 GWh of excess electricity is reused through electric heaters instead of being wasted. Furthermore, the operation in local consumption mode shows the best resilient to uncertainty of the meteorological conditions, with the deviation within 1% under forecast error of 5%–20%.

Suggested Citation

  • Liu, Hongtao & Zhai, Rongrong & Patchigolla, Kumar & Turner, Peter & Yu, Xiaohan & Wang, Peng, 2023. "Multi-objective optimisation of a thermal-storage PV-CSP-wind hybrid power system in three operation modes," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s036054422302649x
    DOI: 10.1016/j.energy.2023.129255
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    2. Xi, Yufei & Zhang, Zhengfa & Zhang, Jiansheng, 2024. "Multi-objective optimization strategy for regional multi-energy systems integrated with medium-high temperature solar thermal technology," Energy, Elsevier, vol. 300(C).

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