Demand Analysis of DPV Participating in Power Balance with Consideration of Prediction Confidence Intervals

The explosive development of distributed photovoltaics brings risks to the balance of the power grid. In this paper, a quantitative method of DPV participation in power balance is proposed. Based on the prediction confidence analysis, a DPV participation balance analysis method is constructed, which fully considers the photovoltaic power fluctuation, prediction bias and system operating boundary. The result is a set of time series variables affected by the system operating state and photovoltaic prediction and fluctuation, which can provide theoretical support for the power system scheduling plan preparation and operation. A numerical example shows the effectiveness of the proposed method.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922235
Primary Topic
Engineering Applied Research
Type
article
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article

Demand Analysis of DPV Participating in Power Balance with Consideration of Prediction Confidence Intervals

Rongbo Ye, Jiaqi Liao, Guanqun Zhuang, Baoju Li et al.
Engineering Applied Research
article

Demand Analysis of DPV Participating in Power Balance with Consideration of Prediction Confidence Intervals

Rongbo Ye, Jiaqi Liao, Guanqun Zhuang, Baoju Li, Ruoying Yu
article en

Abstract

The explosive development of distributed photovoltaics brings risks to the balance of the power grid. In this paper, a quantitative method of DPV participation in power balance is proposed. Based on the prediction confidence analysis, a DPV participation balance analysis method is constructed, which fully considers the photovoltaic power fluctuation, prediction bias and system operating boundary. The result is a set of time series variables affected by the system operating state and photovoltaic prediction and fluctuation, which can provide theoretical support for the power system scheduling plan preparation and operation. A numerical example shows the effectiveness of the proposed method.

Jilin Electric Power Research Institute (China) (CN)
Climate action
Openalex Percentile: Top 68%
Engineering Applied Research
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Demand Analysis of DPV Participating in Power Balance with Consideration of Prediction Confidence Intervals — Rongbo Ye, Jiaqi Liao, et al. · (2024) | TGRS Research Map | TGRS