潜在干扰负荷和消费者的检测和识别:方法和案例研究

J. Coelho, E. A. A. Aranha Neto, S. Thomae, J. C. Pereira, A. Bettiol, G. M. Coelho, S. Zimath, R. Braz, R. Homma
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引用次数: 0

摘要

这项工作展示了一个从知识库开发的算法,它由四个列表组成,相互关联和多标准方法。从专家系统中,可以计算出C2P指数,该指数可用于“先验”分析,以确定潜在干扰负荷,或者使用一组电气数据测量,执行“后验”分析,以便为潜在干扰消费者分配一个比较指数。除了实现知识库之外,这些分析还包括ITIC和SEMI对电压变化的敏感性曲线以及提出的巴西(PRODIST)和全球(IEEE和IEC)参考指数。该方法被应用,作为一个案例研究,在一个工业消费领域的塑料巴西南部。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and identification of Potentially Disturbing Loads and consumers: Methodology and case study
This work shows an algorithm developed from a knowledge base, which consists of four lists inter-relatable and multiple criteria methodology. From an expert system, it is possible to calculate the index C2P that can be used in an “a priori” analysis to determine Potentially Disturbing Loads or, using a set of electrical data measurements, perform an “a posteriori” analysis in order to assign a comparative index for Potentially Disturbing Consumers. Besides the knowledge base implemented, these analysis also include the susceptibility curves to voltage variations ITIC and SEMI and proposed indices of Brazilian (PRODIST) and global (IEEE and IEC) references. The methodology was applied, as a case study, in an industrial consumer in plastics domain of Southern Brazil.
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