考虑运输网络和配电网耦合的配电网规划方法

Pub Date : 2023-09-10 DOI:10.12694/scpe.v24i3.2288
Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu
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引用次数: 0

摘要

本文介绍了一种新的配电网规划方法,解决了传统方法的局限性。现有方法主要侧重于利用可靠性分析优化部件目标,忽略了配电网子项目的耦合度分析,导致运行功率控制性能不佳。为了克服这一限制,提出的方法将交通和配电网络的耦合纳入规划过程。该方法包括建立交通网络模型和分析规划项目之间的耦合特性。具体来说,通过计算能效耦合度来评估耦合程度。在此基础上,对规划节点进行战略部署,构建综合规划模型。然后对模型进行约束求解,得到最优配电网规划方案。为了评估该方法的有效性,通过实验对其运行功率控制能力进行了评估。实验结果表明,将该方法应用于配电网规划时,能有效降低运行功率,达到较理想的规划效果。本工作的新颖之处在于将交通网络与配电网的耦合分析纳入规划过程。考虑到这些网络之间的相互依赖关系,该方法能够提供一个更全面、更有效的配电网规划方案。该方法提高了运行功率控制性能,提高了配电网规划的整体有效性。
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Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network
This paper introduces a novel distribution network planning method that addresses the limitations of conventional approaches. The existing methods primarily focus on optimizing component objectives using reliability analysis, which results in inadequate operational power control performance due to neglecting the coupling degree analysis of distribution network subprojects. To overcome this limitation, the proposed method incorporates the coupling of the traffic and distribution networks into the planning process. The method involves modeling the transportation network and analyzing the coupling characteristics of the planning items. Specifically, the energy efficiency coupling degree is calculated to assess the degree of coupling. Based on this analysis, the planning nodes are strategically deployed, and a comprehensive planning model is constructed. The model is then subjected to constraints and solved to obtain an optimal distribution network planning scheme. To evaluate the effectiveness of the proposed method, experiments are conducted to assess its operational power control capability. The experimental results demonstrate that when the proposed method is employed for distribution network planning, it reduces operating power and achieves a more desirable planning outcome. The novelty of this work lies in integrating the coupling analysis of the traffic network and the distribution network into the planning process. Considering the interdependencies between these networks, the proposed method enables a more comprehensive and efficient distribution network planning scheme. This approach enhances operational power control performance and improves the overall effectiveness of distribution network planning.
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