Paper
18 July 2023 Research on baseline load calculation method of distributed photovoltaic users
Ying Liu, Xingchuan Bao, Jing Tao, Zhansheng Hou
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127221G (2023) https://doi.org/10.1117/12.2679372
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
The baseline load assessment of users is an important prerequisite for compensating users. With the rapid growth of distributed power sources represented by distributed photovoltaic, its fluctuating load and photovoltaic power bring new challenges to accurate baseline load calculation. The fluctuating load and photovoltaic power of distributed photovoltaic users bring new challenges to accurate baseline load calculation. Based on this, the traditional baseline load calculation method is introduced firstly. Secondly, the baseline load calculation method of distributed photovoltaic users is proposed, including actual load estimation based on clustering, distributed photovoltaic estimation based on segment estimation, and the final baseline load calculation and effect evaluation. Finally, an example analysis shows that the accuracy of the baseline load calculation method proposed for distributed photovoltaic users is improved compared with the traditional common methods.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Liu, Xingchuan Bao, Jing Tao, and Zhansheng Hou "Research on baseline load calculation method of distributed photovoltaic users", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127221G (18 July 2023); https://doi.org/10.1117/12.2679372
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KEYWORDS
Photovoltaics

Power consumption

Power grids

Correlation coefficients

Power supplies

Bismuth

Linear regression

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