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Multi-objective optimization of operational strategy and capacity configuration for hybrid energy system combined with concentrated solar power plant

Author

Listed:
  • Shuai, Wei
  • Wang, Keqin
  • Zhang, Tian
  • He, Yibin
  • Xu, Haoran
  • Zhu, Peiwang
  • Xiao, Gang

Abstract

The hybrid energy system (HES) integrated with concentrated solar power (CSP) offers a promising solution for stable power generation. To enhance reliability and cost-effectiveness of HES, this study investigates the operation of next-generation CSP system based on the solar Brayton cycle, within an HES framework. Three operational strategies (continuous operation, scheduled shutdown and predictive operation) are proposed for the HES which consists of a novel CSP plant, wind turbine, photovoltaic system, electric heater, and battery. Performance indicators including the loss of power supply probability (LPSP), the levelized cost of energy (LCOE) and the potential energy waste probability (PEWP) are evaluated to find optimal capacity configuration in different operational strategies. The results show that the predictive operational strategy achieves the lowest LCOE of 0.1866 USD/kWh with an LPSP of 0, which represents 12.6 % reduction compared to the continuous operational strategy when the PEWP constraint is not considered. However, incorporating the PEWP constraint in the multi-objective optimization increases LCOE across all strategies. Under strict LPSP and PEWP constraints, the scheduled shutdown strategy performs the best, with minimal impact from PEWP constraints when LPSP≤5 %. This work contributes to the improvement of integration and operational efficiency for next-generation renewable energy systems.

Suggested Citation

  • Shuai, Wei & Wang, Keqin & Zhang, Tian & He, Yibin & Xu, Haoran & Zhu, Peiwang & Xiao, Gang, 2025. "Multi-objective optimization of operational strategy and capacity configuration for hybrid energy system combined with concentrated solar power plant," Applied Energy, Elsevier, vol. 390(C).
    • Handle: RePEc:eee:appene:v:390:y:2025:i:c:s0306261925005902
    DOI: 10.1016/j.apenergy.2025.125860
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