基于IEC智能变电站自动化的“智能化”电能质量评估

J. Brittes, E. Nunes, J. Jardini, L. Magrini, W. Hokama, L. G. Fernandez Silva
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引用次数: 1

摘要

电能质量是一个多学科的系统性挑战。它涉及大量的数据收集、许多实用程序领域以及实用程序之外的许多其他参与者。由于它必须将来自各个过程级别的大量测量电流和电压数据连接到几乎所有公用事业公司领域,从而实现电力一致性,能源可用性和高服务质量(达到国家和国际标准),因此电力质量应该是最适合从智能电网衍生概念中获益的领域。然而,变电站自动化、公共信息模型(CIM)和IEC智能电网概念中的其他属性等问题本身不足以执行即插即用的电能质量(或其他领域)解决方案。本文将首先讨论传统的电能质量评估,随后将提出一种将电能质量评估从公用事业电能质量数据收集“智能化”到企业处理和外部参与者的新方法。所提及的公用事业为一个人口密集的城市地区以及一个工业区提供能源。这两个地区总共约有700万用户,由分布在570个城市的400多个变电站供电。
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“Smartizing” power quality assessment based on IEC smart substation automation
Power Quality is a multidisciplinary systemic challenge. It involves huge data collection, many utility areas, and many other players outside the utility. Because it must connect massive amount of measured current and voltage data from various process levels to almost all utility corporate areas, allowing power conformity, energy availability and high service quality (achieving national and international standards), power quality should be the most suitable area to gain benefits from the smart grid derived concepts. However, issues like substation automation, Common Information Model (CIM) and other attributes from the IEC Smart Grid conceptual landscape are not, by themselves, enough to perform a plug and play power quality (or other area) solution. This article will first discuss the conventional power quality assessment, and subsequently will propose a new approach to “smartize” the power quality assessment from the utility power quality data collection to both its corporate treatment and the external players. The referred utility provides energy to a highly dense urban area as well as to an industrial area. Altogether, both areas account for about seven million consumers, supplied by more than 400 substations scattered over 570 municipalities.
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