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Optimization method of joint frequency modulation load of thermal power unit and energy storage considering the characteristics of thermal power plant variable load process
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Zhen LI1, Nan WANG1, Xichao ZHOU1, Pengxiang ZHAO1, Lin CONG1, Kai XUAN2
Thermal Power Generation | 2023, 52(8) : 104 - 112
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Thermal Power Generation | 2023, 52(8): 104-112
Thermal energy science research
Optimization method of joint frequency modulation load of thermal power unit and energy storage considering the characteristics of thermal power plant variable load process
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Zhen LI1, Nan WANG1, Xichao ZHOU1, Pengxiang ZHAO1, Lin CONG1, Kai XUAN2
Affiliations
  • 1.State Grid Integrated Energy Service Group Co., Ltd., Beijing 100052, China
  • 2.Southeast University School of Energy and Environment, Southeast University, Nanjing 210096, China
Published: 2023-08-25 doi: 10.19666/j.rlfd.202212249
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With the gradual increase in the proportion of new energy in the energy system, increasing the difficulty of AGC frequency regulation of thermal power units, energy storage systems combined with thermal power units AGC frequency regulation technology in China's power industry is developing rapidly. In this paper, the joint frequency modulation system of thermal power unit and energy storage system is studied for the problem of not considering the characteristics of unit variable load process and the lack of relevant evaluation system. Firstly, the thermal unit coal consumption, lifetime, environmental friendliness and energy storage lifetime models are established and uniformly transformed into cost terms during the thermal unit variable load process, thus constituting the corresponding evaluation system. Secondly, the system day-ahead operation optimization model is established, and the system load allocation strategy is further refined by considering the optimization results. Finally, the method proposed in this paper is verified by a case study. The results show that the optimal allocation strategy of joint frequency modulation load of thermal power unit and energy storage proposed in this paper can achieve the purpose of energy storage state management; and through the optimal selection of unit variable load rate and the coordinated response with the energy storage system, the process of unit load change is alleviated the problems of excessive environmental protection and rapid loss of lifespan.

variable load process characteristics  /  energy storage  /  joint frequency modulation  /  operation optimization  /  load optimization
Zhen LI, Nan WANG, Xichao ZHOU, Pengxiang ZHAO, Lin CONG, Kai XUAN. Optimization method of joint frequency modulation load of thermal power unit and energy storage considering the characteristics of thermal power plant variable load process[J]. Thermal Power Generation, 2023 , 52 (8) : 104 -112 . DOI: 10.19666/j.rlfd.202212249
  • State Grid Integrated Energy Service Group Science and Technology Project "Research and System Development of Load Distribution Strategy for Joint Frequency Regulation of Thermal Power Unit and Energy Storage"
Year 2023 volume 52 Issue 8
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Article Info
doi: 10.19666/j.rlfd.202212249
  • Online Date:2026-01-26
  • Published:2023-08-25
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  • Revised:2022-12-01
Funding
State Grid Integrated Energy Service Group Science and Technology Project "Research and System Development of Load Distribution Strategy for Joint Frequency Regulation of Thermal Power Unit and Energy Storage"
Affiliations
    1.State Grid Integrated Energy Service Group Co., Ltd., Beijing 100052, China
    2.Southeast University School of Energy and Environment, Southeast University, Nanjing 210096, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202212249
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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
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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