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Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system
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Yanming QI, Shangang MA, Fubao JIN, Dengtao ZHOU, Qiang ZHANG, Jiawen XIE
Thermal Power Generation | 2024, 53(10) : 41 - 49
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Thermal Power Generation | 2024, 53(10): 41-49
• Long-term energy storage technology •
Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system
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Yanming QI, Shangang MA, Fubao JIN, Dengtao ZHOU, Qiang ZHANG, Jiawen XIE
Affiliations
  • School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
Published: 2024-10-25 doi: 10.19666/j.rlfd.202406141
Outline
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Wind power generation and solar thermal power generation have complementary advantages in terms of time characteristics, and the heat storage system equipped with solar thermal power station can effectively alleviate the peak regulation pressure and improve the wind power absorption capacity. On this basis, a solar thermal-wind combined power generation system is proposed. The Latin hypercube sampling method is used to effectively reduce the uncertainty of wind power output and solar irradiation intensity. Then, a two-stage double-layer optimal allocation method is proposed to rationally allocate the heat storage capacity. The upper layer model aims to minimize the investment cost of comprehensive operation of the system and the lowest curtailment of the system. The optimal heat storage capacity is determined by a fuzzy multi-attribute decision scheme. In the lower layer model, the operation is optimized with the goal of maximizing the net benefit of the cogeneration system in the scenario. The results show that the optimal heat storage capacity of the heat storage system of the solar thermal power station is 906 MW·h, and the comprehensive operating cost for the optimal heat storage capacity configuration is 2 430 000 yuan. Through the comparison between the results of different scenarios, the curtailment of the system with this configuration method reduces by 69.615 MW, and the net revenue of the system increases by 7.7%.

solar thermal power station  /  uncertainty  /  combined power generation system  /  optimal heat storage capacity  /  two-layer optimization
Yanming QI, Shangang MA, Fubao JIN, Dengtao ZHOU, Qiang ZHANG, Jiawen XIE. Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system[J]. Thermal Power Generation, 2024 , 53 (10) : 41 -49 . DOI: 10.19666/j.rlfd.202406141
Funding
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  • National Natural Science Foundation of China(51865049)
  • Project of Qinghai Provincial Key Laboratory of Photovoltaic Power Generation Grid-connected Technology(SGQHJY00NYJS2310220)
Appendix
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Year 2024 volume 53 Issue 10
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121
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Article Info
doi: 10.19666/j.rlfd.202406141
  • Receive Date：2024-06-12
  • Online Date：2026-03-05
  • Published：2024-10-25
Article Data
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History
  • Received：2024-06-12
Funding
National Natural Science Foundation of China(51865049)
Project of Qinghai Provincial Key Laboratory of Photovoltaic Power Generation Grid-connected Technology(SGQHJY00NYJS2310220)
Affiliations
    School of Energy and Electrical Engineering, Qinghai University, Xining 810016, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202406141
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