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Optimization of wind-solar-hydrogen gas turbine complementary system configuration based on MOPSO algorithm
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Yaping WANG1, Yutian WANG1, Yongyi LI2, 3, Zihan WANG4, Lei ZHANG2, 3
Thermal Power Generation | 2025, 54(1) : 35 - 45
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Thermal Power Generation | 2025, 54(1): 35-45
Thermal energy science research
Optimization of wind-solar-hydrogen gas turbine complementary system configuration based on MOPSO algorithm
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Yaping WANG1, Yutian WANG1, Yongyi LI2, 3, Zihan WANG4, Lei ZHANG2, 3
Affiliations
  • 1.Guoneng Guohua (Beijing) Cogeneration Power Co., Ltd., Beijing 100018, China
  • 2.Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology (North China Electric Power University), Baoding 071003, China
  • 3.Department of Power Engineering, North China Electric Power University, Baoding 071003, China
  • 4.School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Published: 2025-01-25 doi: 10.19666/j.rlfd.202406123
Outline
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To meet the urgent need for enhanced grid regulation capabilities due to the high penetration of renewable energy and to resolve load-source imbalances, the optimization configuration method for a wind-solar-hydrogen gas turbine complementary system is investigated. The data-driven model for a gas turbine combined cycle unit that considering start-stop dynamics and hydrogen-blending combustion is developed, along with theoretical models for photovoltaic arrays, wind turbines, and electrolyzers. An energy distribution strategy for the system is proposed, and the system capacity configuration optimization model based on MOPSO algorithm is established. With the objectives of minimizing the levelized cost of electricity, load-source deviation and annual carbon emissions, the capacity configuration of the complementary system is optimized. The results demonstrate that, using selected meteorological and load data, the system equipped with 85.28 MW wind turbines, 108.69 MW photovoltaic arrays, 78.02 MW electrolyzers, and a 139 302 m³ hydrogen storage tank can achieve up to a 6% reduction in annual carbon emissions and a load-source deviation of only 0.02%. This validates that the system architecture integrating electrolyzer-gas turbine can effectively mitigate load-source deviation issues in power grid.

gas turbine combined cycle  /  hydrogen gas turbine  /  power-to-hydrogen conversion  /  renewable energy consumption  /  multi-objective particle swarm optimization
Yaping WANG, Yutian WANG, Yongyi LI, Zihan WANG, Lei ZHANG. Optimization of wind-solar-hydrogen gas turbine complementary system configuration based on MOPSO algorithm[J]. Thermal Power Generation, 2025 , 54 (1) : 35 -45 . DOI: 10.19666/j.rlfd.202406123
  • National Key Research and Development Program of China for Young Scientists(2023YFB4102600)
Year 2025 volume 54 Issue 1
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Article Info
doi: 10.19666/j.rlfd.202406123
  • Receive Date:2024-06-06
  • Online Date:2026-03-06
  • Published:2025-01-25
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History
  • Received:2024-06-06
Funding
National Key Research and Development Program of China for Young Scientists(2023YFB4102600)
Affiliations
    1.Guoneng Guohua (Beijing) Cogeneration Power Co., Ltd., Beijing 100018, China
    2.Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology (North China Electric Power University), Baoding 071003, China
    3.Department of Power Engineering, North China Electric Power University, Baoding 071003, China
    4.School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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