高级检索

中低压配电网供电可靠性协同管控及智能化提升技术

Research on Collaborative Management and Control and Intelligent Improvement Technology for Power Supply Reliability of Medium and Low Voltage Distribution Networks

  • 摘要: 当前,中压配电网已建立起较为完善的可靠性管理体系,而低压配电网存在拓扑贯通难、数据质量差、智能化应用深度不够等问题。针对上述问题,提出“中压赋能、低压延伸、事件贯通、智能驱动”的技术路线,围绕多层级动态拓扑自动识别、低压全链路感知、多源数据融合与事件协同归集、智能算法应用4个方面,构建了相应的技术体系,并在智能算法层引入电力行业大模型,实现规程知识检索、故障语义理解、处置方案生成和人机协同校核。研究成果已在黑龙江、江苏等地进行了规模化应用验证。从验证结果看,拓扑识别准确率达到100%,中低压事件联动时间从h级缩短到s级,线损率也明显下降。

     

    Abstract: From the current situation, the medium-voltage distribution grid has established a relatively complete reliability management system, while the low-voltage distribution grid is still in the pilot exploration stage, mainly facing three issues: difficulty in topological connectivity, poor data quality, and insufficient depth of intelligent application. In response to the above issues, this paper proposes a technical route of "medium-voltage empowerment, low-voltage extension, event connectivity, and intelligent drive", and constructs a corresponding technical system focusing on four aspects: dynamic topology automatic identification, low voltage full-link perception, multi-source data fusion and event collaborative aggregation, and intelligent algorithm application. A power-industry large model is further introduced at the intelligent algorithm layer to support regulation knowledge retrieval, fault semantic understanding, disposal plan generation, and human-machine collaborative verification. The research results have been verified on a large scale in Heilongjiang, Jiangsu, and other places. According to the verification results, the accuracy rate of topology identification has reached 100%, the linkage time of medium and low-voltage events has been shortened from hours to seconds, and the line-loss rate has also significantly decreased.

     

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