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Trouble Call Analysis in Radial Distribution Feeders Using an Idiotypic Immune System

机译：使用独特型免疫系统的径向分布馈线中的故障呼叫分析

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摘要

Utilities typically depend on customers to call and inform them of the service interruptions due to outages by entering their addresses. After sufficient calls are received, the utility is able to pinpoint the location of outages. It is essential for the utility to have a good idea on the location of outages before sending crew for restoration work to optimally utilize their resources. This article uses an idiotypic immune system to model and simulate radial distribution system to identify the operated protective devices due to outages. The incoming calls are modeled as antigens, and the protective devices are modeled as antibodies. Using a differential equation describing dynamics of the immune system, the operated protective devices in the network are identified. A pre-processing technique is presented to handle cases with multiple outages within the same period. Different threshold values for call grouping are tested to determine the most suitable values. Several real-life examples are considered to demonstrate that the proposed method is able to identify the correct protective devices.
机译：公用程序通常依赖客户致电并通过输入其地址来通知他们由于中断而导致的服务中断。收到足够的呼叫后，该实用程序可以查明中断的位置。对于公用事业公司而言，在派遣船员进行恢复工作以最佳利用其资源之前，必须对停电的位置有一个很好的了解。本文使用独特型免疫系统对径向分配系统进行建模和仿真，以识别由于故障而运行的保护装置。传入呼叫被建模为抗原，保护设备被建模为抗体。使用描述免疫系统动力学的微分方程，可以识别网络中运行的保护设备。提出了一种预处理技术来处理在同一时期内发生多次中断的情况。测试了用于呼叫分组的不同阈值以确定最合适的值。考虑了几个现实生活中的例子，以证明所提出的方法能够识别正确的保护装置。

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