Research on Digital Distribution Network Micro-application and Precise Control of Distribution Operations Based on Grid Resource Business Center

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0479
Yi Xu, Wei Zhou, Kaiwen Xu, Zhongmin Qian
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Abstract

This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data architecture. First, the article successfully constructs the basic framework of grid intelligent micro-application, which realizes distribution network equipment’s inspection, operation, and maintenance control functions. It further establishes a collaborative regulation model for digital distribution network micro-applications, focuses on calculating and analyzing distribution banding operations, and proposes a precise specification for the methods easily confused in actual operations. The focus of the study includes comparative analysis of voltage and current overrun probabilities before and after regulation to assess the effectiveness of micro-applications in load forecasting and anomaly warning. The results show that using digital distribution micro-applications significantly reduced the likelihood of overruns at most weak points of the grid by an average of 68%, while the year-on-year reduction of anomalies reached 35%. In addition, the micro-application achieved over 90% accuracy in charge prediction, an impressive performance. By simplifying the distribution operation process, this study significantly improves the feedback speed and efficiency of field operation information, which is of great practical significance and application value for the digital construction of power grid distribution network.
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基于电网资源业务中心的数字配电网微应用与配电业务精准控制研究
本文讨论了电网智能微应用的设计与实现,涉及技术架构和数据架构两个核心方面。首先,文章成功构建了电网智能微应用的基本框架,实现了配电网设备的巡检、运行和维护控制功能。文章进一步建立了数字配电网微应用的协同调控模型,重点对配电带电作业进行了计算和分析,并对实际操作中容易混淆的方法提出了精确规范。研究重点包括调节前后电压和电流超限概率的对比分析,以评估微应用在负荷预测和异常预警方面的有效性。研究结果表明,使用数字配电微应用大大降低了电网大部分薄弱环节发生超限的可能性,平均降幅达 68%,而异常情况的同比降幅则达到 35%。此外,该微型应用程序的电荷预测准确率超过 90%,表现令人印象深刻。该研究通过简化配电操作流程,显著提高了现场操作信息的反馈速度和效率,对电网配电网数字化建设具有重要的现实意义和应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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