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A feedforward-feedback hybrid control strategy towards ordered utilization of concentrating solar energy

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  • Li, Lu
  • Li, Yinshi
  • Yu, Huajie
  • He, Ya-Ling

Abstract

In this work, a feedforward-feedback hybrid control strategy was proposed for concentrating solar thermal technology. Inside, the feedforward unit was designed to counteract the measured disturbance (mainly originated from the changeable weather), and the feedback unit employing proportional-integral controller to counteract some unmeasured and non-linear disturbances, e.g. local cloud cover, local defocus and mirror damage. For disturbance-rejecting and setpoint-tracking regulating issues, the hybrid strategy is superior to the single control mode in improving responsiveness, reducing steady-state error, as well as weakening overshoot. A feedforward-relaxed hybrid scheme allows enough tolerance for feedforward implementation and simultaneously helps determine the optimal regulation. For a closed power plant, the regulated operation contributes to additional 0.5%–1% daily efficiency in four typical meteorological days. Above all, the high-performance control strategy in energy-supply side lays the foundation for scheduling and dispatching the available energy and leaves enough room for the global energy management and market balance. It is suggested to incorporate feedforward information to enhance regulation performance, meet multi-grade energy demands, as well as turn the feedback-dominated regulation tide.

Suggested Citation

  • Li, Lu & Li, Yinshi & Yu, Huajie & He, Ya-Ling, 2020. "A feedforward-feedback hybrid control strategy towards ordered utilization of concentrating solar energy," Renewable Energy, Elsevier, vol. 154(C), pages 305-315.
    • Handle: RePEc:eee:renene:v:154:y:2020:i:c:p:305-315
    DOI: 10.1016/j.renene.2020.03.004
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    2. Xianhua Gao & Shangshang Wei & Chunlin Xia & Yiguo Li, 2022. "Flexible Operation of Concentrating Solar Power Plant with Thermal Energy Storage Based on a Coordinated Control Strategy," Energies, MDPI, vol. 15(13), pages 1-16, July.
    3. Qing Liu & Yichao Shan, 2021. "Research on energy control of low voltage PV storage microgrid [Distributed generation from renewable energy sources: ending energy poverty across the world]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(4), pages 1397-1403.
    4. Ruan, Zhaohui & Sun, Weiwei & Yuan, Yuan & Tan, Heping, 2023. "Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    5. Gharat, Punit V. & Bhalekar, Snehal S. & Dalvi, Vishwanath H. & Panse, Sudhir V. & Deshmukh, Suresh P. & Joshi, Jyeshtharaj B., 2021. "Chronological development of innovations in reflector systems of parabolic trough solar collector (PTC) - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    6. Liang, Huaxu & Wang, Fuqiang & Yang, Luwei & Cheng, Ziming & Shuai, Yong & Tan, Heping, 2021. "Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Wang, Jiaxing & Li, Yiguo & Zhang, Junli, 2023. "Coordinated control of concentrated solar power systems with indirect molten salt storage considering operation mode switching: Using switching model predictive control," Energy, Elsevier, vol. 268(C).

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