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Contemporary Natural Sciences DOI: .

Research on Operational Efficiency Optimization of Photovoltaic Power Generation Systems

作者: Li Mingming 单位:

*通讯作者:

发布时间: 2026-05-19 总浏览量: 19

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Abstract

Against the background of global energy structure transformation and carbon neutrality goals, photovoltaic power generation has received considerable attention due to its clean and low-carbon advantages. With the objective of improving the operational efficiency of photovoltaic systems, this paper adopts a combination of theoretical analysis and experimental verification to investigate the key factors affecting photovoltaic system efficiency and corresponding optimization strategies. An efficiency evaluation model for photovoltaic systems is constructed, and the action mechanisms of factors such as solar irradiance, ambient temperature, module aging, shadow shading, and inverter performance on power generation efficiency are analyzed. By integrating MPPT algorithm optimization, smart cleaning, dynamic tilt angle adjustment, and predictive maintenance, a comprehensive efficiency improvement scheme is established. The experimental results show that, after optimization, the average power generation efficiency of the system increased by 12.3%, with the respective contributions of the measures being 3.8%, 4.2%, 2.9%, and 1.4%. Comparative verification across photovoltaic power stations in different regions and at different scales demonstrates that the proposed optimization scheme has strong applicability and significant effects. This study provides theoretical and practical reference for the efficiency improvement and operation of photovoltaic systems and has high engineering application value and promotion prospects.

Key words: photovoltaic power generation; operational efficiency; maximum power point tracking; smart optimization; predictive maintenance

参考文献 References

[1] Wang Z L. Application of intelligent operation and maintenance technology in new energy photovoltaic power generation systems [J]. The Light & Lighting, 2025(06):159–161.

[2] Jiang P F. Research on automatic control of photovoltaic power generation systems based on PLC [J]. Automation Application, 2025(S1):58–60+63.

[3] Zhang C X. Research on photovoltaic power generation technology based on deep learning [J]. Science & Technology Information, 2024(15):60–62.

[4] Zhang Y L. Design of an intelligent ring main unit for photovoltaic power generation systems in transmission and distribution networks [J]. The Light & Lighting, 2024(12):132–134.

[5] Li X, Bao C. Technical analysis of improving system efficiency in fixed-mount photovoltaic power stations [J]. Electric Power Equipment Management, 2025(04):118–120.

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