Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint
Cold regions have complex and diverse environments with low temperatures and short sunshine times throughout the year. To rationally configure the capacity of the low-temperature environment microgrid system and improve the power supply reliability of the low-temperature environment microgrid system...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9656925/ |
| _version_ | 1798035705502367744 |
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| author | Shi-Bo Li Zhi-Tao Kang |
| author_facet | Shi-Bo Li Zhi-Tao Kang |
| author_sort | Shi-Bo Li |
| collection | DOAJ |
| description | Cold regions have complex and diverse environments with low temperatures and short sunshine times throughout the year. To rationally configure the capacity of the low-temperature environment microgrid system and improve the power supply reliability of the low-temperature environment microgrid system and energy utilization rate. Based on the characteristics of a low-temperature environment, a wind-hydrogen-storage microgrid capacity optimization model for hydrogen production from surplus wind power is proposed, and the real-time influence of low-temperature on the output of wind turbines, battery capacity and power load is considered, and the annual average cost is minimized. The annual load shortage rate is restricted, and the capacity of the microgrid power supply system in a low-temperature environment was optimized. In this study, a region in northeast China was the research object. According to the optimized model, because of the defects of the traditional particle swarm optimization (PSO) algorithm, the traditional PSO algorithm is improved to optimize the capacity of the microgrid system. The simulation results were analyzed from the aspects of economy and reliability, and the proposed results were verified. The reliability of the method provides a reference for the optimal configuration of the microgrid capacity in low-temperature environments. |
| first_indexed | 2024-04-11T21:01:58Z |
| format | Article |
| id | doaj.art-7d343ac777be48dba3faf9c034e54c69 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T21:01:58Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d343ac777be48dba3faf9c034e54c692022-12-22T04:03:28ZengIEEEIEEE Access2169-35362022-01-01102740275210.1109/ACCESS.2021.31372799656925Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment ConstraintShi-Bo Li0Zhi-Tao Kang1https://orcid.org/0000-0003-2112-7599College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou, ChinaCollege of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou, ChinaCold regions have complex and diverse environments with low temperatures and short sunshine times throughout the year. To rationally configure the capacity of the low-temperature environment microgrid system and improve the power supply reliability of the low-temperature environment microgrid system and energy utilization rate. Based on the characteristics of a low-temperature environment, a wind-hydrogen-storage microgrid capacity optimization model for hydrogen production from surplus wind power is proposed, and the real-time influence of low-temperature on the output of wind turbines, battery capacity and power load is considered, and the annual average cost is minimized. The annual load shortage rate is restricted, and the capacity of the microgrid power supply system in a low-temperature environment was optimized. In this study, a region in northeast China was the research object. According to the optimized model, because of the defects of the traditional particle swarm optimization (PSO) algorithm, the traditional PSO algorithm is improved to optimize the capacity of the microgrid system. The simulation results were analyzed from the aspects of economy and reliability, and the proposed results were verified. The reliability of the method provides a reference for the optimal configuration of the microgrid capacity in low-temperature environments.https://ieeexplore.ieee.org/document/9656925/Low temperature environmentmicrogridbattery energy storagehydrogen energy storageoptimization configuration of capacityparticle swarm optimization |
| spellingShingle | Shi-Bo Li Zhi-Tao Kang Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint IEEE Access Low temperature environment microgrid battery energy storage hydrogen energy storage optimization configuration of capacity particle swarm optimization |
| title | Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint |
| title_full | Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint |
| title_fullStr | Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint |
| title_full_unstemmed | Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint |
| title_short | Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint |
| title_sort | capacity optimization of clean renewable energy in power grid considering low temperature environment constraint |
| topic | Low temperature environment microgrid battery energy storage hydrogen energy storage optimization configuration of capacity particle swarm optimization |
| url | https://ieeexplore.ieee.org/document/9656925/ |
| work_keys_str_mv | AT shiboli capacityoptimizationofcleanrenewableenergyinpowergridconsideringlowtemperatureenvironmentconstraint AT zhitaokang capacityoptimizationofcleanrenewableenergyinpowergridconsideringlowtemperatureenvironmentconstraint |