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Smart grid substation equipment maintenance management functionality based on control center SCADA data

机译:智能电网变电站设备维护管理功能基于控制中心SCADA数据

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Classic approach to preventive maintenance of equipment in power system substations was based on periodical maintenance according to regulations and best practices recommended by vendors. SCADA system in HOPS is used primary for real-time monitoring and control of the equipment in substations. Real time data available in SCADA databases contain useful information for substation maintenance optimization based on operational conditions. Malfunctions and failures in the substations are monitored via SCADA system. Analyses of these data can be used to evaluate maintenance strategy and plan the reconstructions and replacement of the equipment. This article presents current maintenance management approach in HOPS, which is the only transmission system operator in Croatia, and possible improvements in efficiency of equipment maintenance using SCADA data. Prerequisite for the analyses of these kinds of data is standardization and unification of information names and structures. HOPS put a lot of effort in standardization of SCADA data during last refurbishment of control centers. Use of SCADA data for analysis drives the need for standardization and vice versa. Examples of statistical analyses of the SCADA data are done on multiple levels. High level analyses is used to provide the global overview of the real time data. It can point to suspicious information that require detailed analyses. The signals that appear often in the list can indicate that there is a problem in the primary equipment, monitoring system or alarm configuration. Low level analyses can be done on target information important for equipment maintenance. In this paper some low level analyses are presented for switching equipment, transformer lifetime, equipment in operation, and tap changer operation. An analysis is made for number of switching operations for breakers and disconnectors in different operational conditions. Preventive maintenance should be done based on number of switching in normal operations and even more often for breakers that are often interrupting fault current. SCADA data can be used for availability of the equipment and duration of failures thus providing valuable information to managers. An analysis on RTU communication availability is shown.
机译:经典方法采用电力系统变电站设备的预防性维护的方法是根据供应商推荐的规定和最佳实践的周期性维护。 SCADA系统在啤酒花中使用主要用于实时监控和控制变电站的设备。 SCADA数据库中可用的实时数据包含基于操作条件的变电站维护优化的有用信息。通过SCADA系统监控变电站故障和故障。这些数据的分析可用于评估维护策略并计划重建和更换设备。本文介绍了啤酒花的当前维护管理方法,这是克罗地亚唯一的传输系统运营商,以及使用SCADA数据的设备维护效率的提高。这些类型的分析的先决条件是信息名称和结构的标准化和统一。跳跃在对照中心的最后翻新期间对SCADA数据的标准化进行了很多努力。使用SCADA数据进行分析驱动标准化的需求,反之亦然。 SCADA数据的统计分析的例子是在多个层面上完成的。高级分析用于提供实时数据的全局概述。它可以指向需要详细分析的可疑信息。在列表中出现的信号可以指示主设备,监控系统或警报配置中存在问题。低级别分析可以对设备维护的目标信息进行。本文提出了一些低水平分析,用于开关设备,变压器寿命,设备,以及抽头更换器操作。用于在不同操作条件下的断路器和隔离开关的交换操作的数量进行分析。应基于正常操作的切换数量,更频繁地进行预防性维护,通常是通常中断故障电流的断路器。 SCADA数据可用于设备的可用性和失败的持续时间,从而为管理人员提供有价值的信息。显示了RTU通信可用性的分析。

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