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Power generation capacity planning for multi-energy complementary energy base including wind, solar, hydropower, thermal power and energy storage
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Xiang LI1, Li GONG1, Zheng LU2, Hang ZHOU1, Xiayang LI1, Zeyi HUANG1, Peijie LI2
Thermal Power Generation | 2026, 55(2) : 139 - 146
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Thermal Power Generation | 2026, 55(2): 139-146
Multi-type energy storage-assisted peak and frequency regulation technology
Power generation capacity planning for multi-energy complementary energy base including wind, solar, hydropower, thermal power and energy storage
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Xiang LI1, Li GONG1, Zheng LU2, Hang ZHOU1, Xiayang LI1, Zeyi HUANG1, Peijie LI2
Affiliations
  • 1.China Energy Engineering Guangxi Electric Power Design Institute Co., Ltd., Nanning 530007, China
  • 2.Guangxi Key Laboratory of Power System Optimization and Energy Technology (Guangxi University), Nanning 530004, China
Published: 2026-02-25 doi: 10.19666/j.rlfd.202505117
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As the power supply structure gradually shifts toward a diversified pattern, the risk of regional renewable energy consumption increases. In order to maximize the utilization of the existing adjustment capacity of hydropower and thermal power and improve the consumption level of wind power and photovoltaic power, a multi-energy complementary energy base including wind power, photovoltaic power, hydropower, thermal power and energy storage is constructed, and the advantages of complementary power generation among wind power, photovoltaic power, hydropower, thermal power and energy storage compared to other power generation modes are analyzed. Based on 8 760 time series points throughout the year, a multi-objective power generation capacity planning model that takes into account system reliability, economic benefits, environmental benefits, and the consumption level of renewable energy is constructed, and multi-objective optimization is achieved through the linear weighting method of unit standardization of the objective function. Finally, the annual historical wind and solar data of a certain place are selected for simulation experiments. The results show that, compared with single-objective optimization, multi-objective optimization can effectively balance the equilibrium points among different optimization objectives, avoid the limitations of single-objective optimization, and by rationally adjusting the output of hydropower, thermal power and energy storage, the complementary coordination of wind power, photovoltaic power, hydropower, thermal power and energy storage on multi-time scales can be achieved.

wind-solar-thermal-hydro-storage  /  multi-energy complementary energy base  /  power capacity planning  /  multi-objective optimization
Xiang LI, Li GONG, Zheng LU, Hang ZHOU, Xiayang LI, Zeyi HUANG, Peijie LI. Power generation capacity planning for multi-energy complementary energy base including wind, solar, hydropower, thermal power and energy storage[J]. Thermal Power Generation, 2026 , 55 (2) : 139 -146 . DOI: 10.19666/j.rlfd.202505117
  • National Natural Science Foundation of China(52267006)
Year 2026 volume 55 Issue 2
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Article Info
doi: 10.19666/j.rlfd.202505117
  • Receive Date:2025-05-27
  • Online Date:2026-08-14
  • Published:2026-02-25
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History
  • Received:2025-05-27
  • Revised:2025-07-12
  • Accepted:2025-07-28
Funding
National Natural Science Foundation of China(52267006)
Affiliations
    1.China Energy Engineering Guangxi Electric Power Design Institute Co., Ltd., Nanning 530007, China
    2.Guangxi Key Laboratory of Power System Optimization and Energy Technology (Guangxi University), Nanning 530004, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
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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