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Research on the prediction model of temperature and humidity in the ring main unit based on nonlinear coupling method
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Dongmei XU1, 2, Jie ZHANG1, 2, Xueguang LIU1, Junwen ZOU1
Thermal Power Generation | 2024, 53(3) : 42 - 50
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Thermal Power Generation | 2024, 53(3): 42-50
• Special topic on new energy power generation technology •
Research on the prediction model of temperature and humidity in the ring main unit based on nonlinear coupling method
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Dongmei XU1, 2, Jie ZHANG1, 2, Xueguang LIU1, Junwen ZOU1
Affiliations
  • 1.Zhejiang Provincial Electric Power Boiler & Pressure Vessel Check Institute Co., Ltd., Hangzhou 310014, China
  • 2.State Grid Zhejiang Electric Power Co., Ltd., Research Institute, Hangzhou 310014, China
Published: 2024-03-25 doi: 10.19666/j.rlfd.202309163
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The working environment of the ring main unit (RMU) in large solar photovoltaic power plants is complex and variable, faced with harsh environments such as temperature differences and humidity, it is extremely easy to cause operational failures of the ring grid cabinet, which seriously affects the safe and stable connection of solar photovoltaic to transmission lines. Based on the measured temperature and humidity data inside the RMU, utilizing the advantages of ARIMA and RBF model in linear and nonlinear data processing, a temperature and humidity prediction model with ARIMA-RBF weight combination is constructed to dynamically predict the temperature and humidity inside the RMU. The dynamic prediction of temperature and humidity in the actual loop cabinet of a photovoltaic power station is carried out. The prediction results show that, compared with the single model, the ARMI-RBF weight combination model has higher prediction accuracy and better stability. The combined model gives full play to the processing ability of a single model for different characteristics of data through appropriate weighting strategies, and can better evaluate the temperature and humidity state inside the RMU. It can provide a reference for the establishment of a more universal prediction model, and help to reduce the failure caused by long-term operation of the ring cabinet under ultra-mild and humid environment.

solar photovoltaic  /  ring main unit  /  temperature and humidity  /  nonlinear coupling  /  weighted combination prediction model
Dongmei XU, Jie ZHANG, Xueguang LIU, Junwen ZOU. Research on the prediction model of temperature and humidity in the ring main unit based on nonlinear coupling method[J]. Thermal Power Generation, 2024 , 53 (3) : 42 -50 . DOI: 10.19666/j.rlfd.202309163
Funding
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  • Technology Project of State Grid Corporation of China(GJRD2021-04)
Appendix
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Year 2024 volume 53 Issue 3
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Article Info
doi: 10.19666/j.rlfd.202309163
  • Receive Date：2023-09-19
  • Online Date：2025-12-31
  • Published：2024-03-25
Article Data
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History
  • Received：2023-09-19
Funding
Technology Project of State Grid Corporation of China(GJRD2021-04)
Affiliations
    1.Zhejiang Provincial Electric Power Boiler & Pressure Vessel Check Institute Co., Ltd., Hangzhou 310014, China
    2.State Grid Zhejiang Electric Power Co., Ltd., Research Institute, Hangzhou 310014, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202309163
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Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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