Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control
Impact of rural electrification is picking up, which has changed the energy structure and significantly reduced greenhouse gas emissions in rural areas. At present, due to separation management of agricultural and energy systems, agricultural cost is high, and new energy consumption in the local mic...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10106208/ |
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| author | Xueqian Fu Yazhong Zhou Zhonghui Wei Yang Wang |
| author_facet | Xueqian Fu Yazhong Zhou Zhonghui Wei Yang Wang |
| author_sort | Xueqian Fu |
| collection | DOAJ |
| description | Impact of rural electrification is picking up, which has changed the energy structure and significantly reduced greenhouse gas emissions in rural areas. At present, due to separation management of agricultural and energy systems, agricultural cost is high, and new energy consumption in the local microgrid is small, but carbon emission is high. We propose a novel optimal operation strategy for a rural microgrid considering greenhouse load control, which is greenhouse environment control. We establish a greenhouse load control model, including an artificial lighting model, a heating load model, and a load shifting model. Our characteristic work is to establish a carbon dioxide model of greenhouse consumption, and we build a unique optimal operation model of a rural microgrid by combining control of carbon dioxide and control of the energy system. We simulate a rural microgrid with wind power, photovoltaic, gas-fired boiler, and cogeneration system. Summer and winter scenarios are used for analysis, as energy consumption patterns in greenhouses during these seasons are highly representative. Results show the proposed optimization strategy can effectively cut operating expenses for the rural microgrid, improve rate of new energy consumption in the local microgrid, and reduce carbon dioxide emissions. |
| format | Article |
| id | doaj-art-21e4d3538db84d60aabedb2516a3154e |
| institution | DOAJ |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-21e4d3538db84d60aabedb2516a3154e2025-08-20T03:11:57ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-0111126927910.17775/CSEEJPES.2022.0620010106208Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load ControlXueqian Fu0Yazhong Zhou1Zhonghui Wei2Yang Wang3College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100083College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100083College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100083College of Information and Electrical Engineering, China Agricultural University,Beijing,China,100083Impact of rural electrification is picking up, which has changed the energy structure and significantly reduced greenhouse gas emissions in rural areas. At present, due to separation management of agricultural and energy systems, agricultural cost is high, and new energy consumption in the local microgrid is small, but carbon emission is high. We propose a novel optimal operation strategy for a rural microgrid considering greenhouse load control, which is greenhouse environment control. We establish a greenhouse load control model, including an artificial lighting model, a heating load model, and a load shifting model. Our characteristic work is to establish a carbon dioxide model of greenhouse consumption, and we build a unique optimal operation model of a rural microgrid by combining control of carbon dioxide and control of the energy system. We simulate a rural microgrid with wind power, photovoltaic, gas-fired boiler, and cogeneration system. Summer and winter scenarios are used for analysis, as energy consumption patterns in greenhouses during these seasons are highly representative. Results show the proposed optimization strategy can effectively cut operating expenses for the rural microgrid, improve rate of new energy consumption in the local microgrid, and reduce carbon dioxide emissions.https://ieeexplore.ieee.org/document/10106208/Carbon dioxide emissiongreenhouse load controlmicrogridrural developmentrural electrification |
| spellingShingle | Xueqian Fu Yazhong Zhou Zhonghui Wei Yang Wang Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control CSEE Journal of Power and Energy Systems Carbon dioxide emission greenhouse load control microgrid rural development rural electrification |
| title | Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control |
| title_full | Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control |
| title_fullStr | Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control |
| title_full_unstemmed | Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control |
| title_short | Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control |
| title_sort | optimal operation strategy for rural microgrid considering greenhouse load control |
| topic | Carbon dioxide emission greenhouse load control microgrid rural development rural electrification |
| url | https://ieeexplore.ieee.org/document/10106208/ |
| work_keys_str_mv | AT xueqianfu optimaloperationstrategyforruralmicrogridconsideringgreenhouseloadcontrol AT yazhongzhou optimaloperationstrategyforruralmicrogridconsideringgreenhouseloadcontrol AT zhonghuiwei optimaloperationstrategyforruralmicrogridconsideringgreenhouseloadcontrol AT yangwang optimaloperationstrategyforruralmicrogridconsideringgreenhouseloadcontrol |