Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control
Regular Papers|更新时间:2025-11-20
|
Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control
Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control
中国电机工程学会电力与能源系统学报(英文)2025年11卷第1期 页码:269-279
作者机构:
1. College of Information and Electrical Engineering, China Agricultural University,Beijing,China
2. Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing Engineering and Technology Research Center for Internet of Things in Agriculture,Beijing,China
Xueqian Fu, Yazhong Zhou, Zhonghui Wei, et al. Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control[J]. CSEE Journal of Power and Energy Systems, 2025, 11(1): 269-279.
Xueqian Fu, Yazhong Zhou, Zhonghui Wei, et al. Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control[J]. CSEE Journal of Power and Energy Systems, 2025, 11(1): 269-279. DOI: 10.17775/CSEEJPES.2022.06200.
Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control
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