Research on power generation capacity of photovoltaic power generation system based on PVsyst software

Lin Zhang; Xueyuan Liu; Wenrui Tan; Yunche Su; Wei Chen; Jiawei Liu; Yang Liu

doi:10.1117/12.2684533

19 October 2023 Research on power generation capacity of photovoltaic power generation system based on PVsyst software

Lin Zhang, Xueyuan Liu, Wenrui Tan, Yunche Su, Wei Chen, Jiawei Liu, Yang Liu

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270959 (2023) https://doi.org/10.1117/12.2684533
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Photovoltaic power generation has the characteristics of safety, cleanliness, extensiveness and sufficient resources, which is of great significance to improve the longevity and safety of power generation. Photovoltaic power generation is also of great significance to social development: 1. solve the problem of electricity consumption in people without electricity and poor areas. 2. Achieve targeted poverty alleviation. 3. Promote the integration of the Midwest and the Midwest. 4. Activate private capital and promote the diversification of energy industry entities. Based on a region with sufficient light resources in southwest China, this paper establishes a 500 MWp photovoltaic power generation system model, and simulates the power generation capacity of the rooftop photovoltaic power generation system in this area by calculating the PV square spacing and using PVsyst software to optimize the installation inclination angle of the photovoltaic modules, and analyze the power generation efficiency. Provide ideas for the service life of photovoltaic power plants.

Citation Download Citation

Lin Zhang, Xueyuan Liu, Wenrui Tan, Yunche Su, Wei Chen, Jiawei Liu, and Yang Liu "Research on power generation capacity of photovoltaic power generation system based on PVsyst software", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270959 (19 October 2023); https://doi.org/10.1117/12.2684533

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