Analysis and research on coupling characteristics of wind-photovoltaic power generation and load under typical scenarios

Bingjie Li; Zesen Li; Xiaoyan Hu; Jing Shi

doi:10.1117/12.3024605

13 May 2024 Analysis and research on coupling characteristics of wind-photovoltaic power generation and load under typical scenarios

Bingjie Li, Zesen Li, Xiaoyan Hu, Jing Shi

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131591O (2024) https://doi.org/10.1117/12.3024605
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

In order to master the output characteristics of wind-photovoltaic power generation, improve the utilization efficiency of wind and solar resources and enhance the support capacity of wind-photovoltaic power as the peak power. This paper puts forward three evaluation indexes: fluctuation characteristics, peak shaving characteristics and guaranteed output, and divides typical output scenarios such as annual, quarterly, daytime, and night peak load periods. Based on the unified regulation data of wind power and photovoltaic power generation in an eastern coastal province of China, the power generation characteristics of these two modes of power generation are analyzed. Combined with the provincial load data and based on the output coefficient, the proposed method quantifies the output capacity of wind, photovoltaic and wind photovoltaic joint power under different load levels. It provides a reference for further research on wind-photovoltaic power consumption assessment, access system, and future grid planning.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bingjie Li, Zesen Li, Xiaoyan Hu, and Jing Shi "Analysis and research on coupling characteristics of wind-photovoltaic power generation and load under typical scenarios", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131591O (13 May 2024); https://doi.org/10.1117/12.3024605

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