Evaluation method for voltage flexibility of DN considering spatiotemporal characteristics

In response to the difficulty of evaluating the voltage flexibility (VF) of distribution network (DN) with a high proportion of distributed photovoltaics from multiple perspectives, this paper proposes a VF evaluation method for DN that considers spatiotemporal characteristics. Firstly, the evaluation indicators for the spatiotemporal flexibility of distribution network voltage (DNV) were defined from two dimensions: time and space. The evaluation indicators were combined with constraints such as power flow models and line voltage and current to construct a DNV flexibility evaluation model. Then, the solution process for the spatiotemporal flexibility evaluation model of DNV was provided. Finally, taking the improved IEEE33 node grid structure as an example, a comparative analysis was conducted on the flexibility of DNV under different distributed photovoltaic penetration rates, verifying the effectiveness of the method proposed in this paper.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775705
Primary Topic
Software-Defined Networks and 5G
Type
article
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Evaluation method for voltage flexibility of DN considering spatiotemporal characteristics

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Evaluation method for voltage flexibility of DN considering spatiotemporal characteristics

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article en

Abstract

In response to the difficulty of evaluating the voltage flexibility (VF) of distribution network (DN) with a high proportion of distributed photovoltaics from multiple perspectives, this paper proposes a VF evaluation method for DN that considers spatiotemporal characteristics. Firstly, the evaluation indicators for the spatiotemporal flexibility of distribution network voltage (DNV) were defined from two dimensions: time and space. The evaluation indicators were combined with constraints such as power flow models and line voltage and current to construct a DNV flexibility evaluation model. Then, the solution process for the spatiotemporal flexibility evaluation model of DNV was provided. Finally, taking the improved IEEE33 node grid structure as an example, a comparative analysis was conducted on the flexibility of DNV under different distributed photovoltaic penetration rates, verifying the effectiveness of the method proposed in this paper.

Openalex Percentile: Top 74%
Software-Defined Networks and 5G
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