An Early Warning Model of Substation Over-Limit Based on Dynamic Multi-objective Intelligent Detection and Tracking Technology

2023 5th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2023-03-23 DOI:10.1109/AEEES56888.2023.10114321

An Xing, Yang Shunfu, Sun Bo, Zhang Xiaohua, Sun Meng, Guangxin Zhang, Cheng Li

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Abstract

Substation is a place for voltage and current conversion, electric energy receiving and distribution in the power system. Compared with other power facilities, it has the characteristics of a small maintenance work range, short maintenance work cycle, and high voltage of live equipment around the maintenance site, to meet the requirements of substation maintenance operation safety management and portable mobile auxiliary equipment system is not mature. At the same time, the daily maintenance, expansion, transformation and other tasks of substations often have problems such as tight schedules, heavy tasks, and many cross operations. Therefore, it is very necessary to monitor the personnel and equipment on the site of substation maintenance and operation. In this paper, a dynamic multi-objective intelligent detection and tracking model was build under complex background is established to comprehensively analyze the potential transgression behaviors in the substation safety area, and realize the over-limit early warning of personnel and equipment in the substation maintenance and operation site.

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基于动态多目标智能检测与跟踪技术的变电站超限预警模型

变电站是电力系统中进行电压、电流转换、电能接收和分配的场所。与其他电力设施相比，它具有检修工作范围小、检修工作周期短、检修现场周围带电设备电压高、满足变电站检修运行安全管理要求及便携式移动辅助设备系统不成熟等特点。同时，变电站的日常维护、扩建、改造等任务往往存在工期紧、任务重、交叉操作多等问题。因此，对变电站维护运行现场的人员和设备进行监控是非常必要的。本文建立了复杂背景下的动态多目标智能检测与跟踪模型，综合分析变电站安全区域潜在越界行为，实现对变电站维护运行现场人员和设备的超限预警。

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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2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)

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