Research on the Operational Strategy of the Hybrid Wind/PV/Small-Hydropower/Facility-Agriculture System Based on a Microgrid

Yan Ren, Linmao Ren, Kai Zhang, Dong Liu, Xianhe Yao and Huawei Li
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Yan Ren: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Linmao Ren: Railway Police College, Zhengzhou 450053, China
Kai Zhang: Henan Province Agricultural Science and Technology Exhibition Hall, Zhengzhou 450002, China
Dong Liu: School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Xianhe Yao: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Huawei Li: School of Electric Power, North China University of Water Resources and Electric Power, Zhengzhou 450045, China

Energies, 2022, vol. 15, issue 7, 1-15

Abstract: The use of renewable energy sources, such as wind, photovoltaics (PV), and hydropower, to supply facility agriculture may effectively mitigate food and environmental pollution problems and ensure continuity of the energy supply. The operating conditions of a hybrid system are complex, so the operating strategy is very important for system configuration and scheduling purposes. In the current study, first, a hybrid wind/PV/small-hydropower/facility-agricultural system was constructed. Then, the chaotic particle swarm method was applied to optimize hybrid system operation, and a scheduling strategy of the hybrid system was proposed. Finally, combined with an example, according to wind and PV power output and load curves, supply-to-load curves for wind, PV, and small hydropower were obtained. The operational strategy proposed in this study maximizes the utilization of wind and solar resources and rationally allocates hydropower resources. The aforementioned operational strategy provides a basis for hybrid system capacity allocation and scheduling.

Keywords: hybrid system; facility agriculture; chaotic particle swarms method; operation strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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