Multi‐level interval rolling warning method for distributed photovoltaic fluctuation events

Zhang, Yumin, Qi, Yunrui, Ye, Pingfeng, Li, Zhengmao, Yang, Jiajia, and Ji, Xingquan (2024) Multi‐level interval rolling warning method for distributed photovoltaic fluctuation events. Energy Conversion and Economics, 5 (6). pp. 370-381.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (1MB) | Preview
View at Publisher Website: https://doi.org/10.1049/enc2.12133
 
1


Abstract

The power fluctuation of distributed photovoltaic (PV) systems significantly impacts the balance of the power system, leading to risks like PV curtailment and load shedding. This paper proposes a multi-level rolling warning method for distributed PV power fluctuation (DPPF) based on interval analysis, aiming to establish a framework for proactively mitigating the potential adverse effects of fluctuations in distributed PV systems. Firstly, the power control mechanism to deal with DPPF is clarified, and warning levels are defined to determine the range of fluctuations that can be controlled by different power control measures. Secondly, based on the probability density of DPPF, the probabilities of each warning level are obtained by integrating the probability densities within each warning range. Finally, the differences in the forecasting accuracy of PV power fluctuations at different time scales are analysed, and the rolling warning of DPPF is achieved by periodically updating PV power output to adjust the warning results. Simulation results demonstrate that the proposed method identifies the thresholds for each warning range and provides warnings for different system operating conditions and PV power fluctuation events, confirming its effectiveness and applicability.

Item ID: 86359
Item Type: Article (Research - C1)
ISSN: 2634-1581
Keywords: distributed photovoltaic power fluctuation, interval analysis, probability density, rolling warning
Copyright Information: © 2024 The Author(s). Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and the State Grid Economic & Technological Research Institute Co., Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Date Deposited: 23 Jul 2025 07:14
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400808 Photovoltaic power systems @ 100%
SEO Codes: 17 ENERGY > 1708 Renewable energy > 170804 Solar-photovoltaic energy @ 100%
Downloads: Total: 1
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page