Cloud Edge Collaboration-based Architecture for Offshore Floating Photovoltaic Power Plants
Meiling Zheng, Xiangyu Kong, Chunjie Wang, Zilong Yu, Qiang Fu, Hui Jin · 2024
Affected by offshore wind and wave fluctuations, offshore photovoltaic field station data centers face problems such as low operational energy efficiency, poor interactivity, and duplicated construction of resources. It is difficult to meet the demand for control precision and accuracy of the new power system with prominent digital features. Due to the large-scale centralized access of offshore floating PV to participate in regulating offshore floating PV power station systems, the information layer must process the collected information and then form a regulation strategy to guide the optimal scheduling of the energy layer. To realize the adaptive multi-mode real-time optimization and regulation of offshore floating PV power plants, it is necessary to construct the information-energy coupling architecture of offshore floating PV power plants, which deeply integrates the optimization results of the information layer with the scheduling instructions of the energy layer. Therefore, by constructing a layered and partitioned controller architecture for offshore floating PV power plants, a cloud-side synergistic integrated control system is formed to support implementing offshore floating PV power plant technology programs. The proposed architecture’s performance in data transmission, storage, and energy consumption is analyzed through simulation. The results show that compared with the traditional centralized architecture, the construction of a layered and partitioned controller architecture for offshore floating PV power plants can save 330% of the storage capacity of the cloud servers in the big data center and reduce the energy consumption by about 22%, which verifies the validity and reasonableness of the application of the proposed architecture in the actual project.