Evaluating distribution system losses using data from deployed AMI and GIS systems

J. Triplett, Stephen Rinell, Jim E. Foote
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引用次数: 19

Abstract

Distribution system losses are a reality due to the physics associated with various system components that make up any power system. Techniques for analyzing losses are not new but have primarily focused on evaluating system losses during certain peak demand periods due to limitations on available data. Such “traditional” analyses estimate energy losses using industry accepted approaches that rely heavily on assumptions and that focus only on peak and average demands on major system components. Another potential shortcoming of a traditional loss analysis is the level of system detail evaluated. A gross analysis in terms of system components such as substation power transformers, distribution lines, distribution transformers, secondary conductors, etc. is typical. The disadvantage is that the relative contribution of various system components to the overall system losses may not be defined to the level required to truly evaluate mitigation techniques, especially when time periods other than peak demand times are being evaluated. Given the limitations of traditional loss evaluations, this paper will explore enhanced loss evaluation techniques utilizing interval load data collected from a deployed Advanced Metering Infrastructure (AMI) system and detailed system data from an available Geographic Information System (GIS). The test case system used to present this approach was a distribution cooperative with these systems presently in place.
利用部署的AMI和GIS系统的数据评估配电系统损失
由于与构成任何电力系统的各种系统组件相关的物理特性,配电系统损耗是一个现实。分析损失的技术并不新鲜,但主要集中在评估由于可用数据的限制而在某些高峰需求期间的系统损失。这种“传统的”分析使用行业公认的方法来估计能源损失,这些方法严重依赖于假设,并且只关注主要系统组件的峰值和平均需求。传统损失分析的另一个潜在缺点是评估系统细节的程度。对系统部件,如变电站电力变压器、配电线路、配电变压器、二次导体等进行总体分析是典型的。缺点是,各种系统组成部分对整个系统损失的相对贡献可能没有定义到真正评估缓解技术所需的水平,特别是在评估高峰需求时间以外的时间段时。鉴于传统损失评估的局限性,本文将探索利用从部署的高级计量基础设施(AMI)系统收集的间隔负荷数据和从可用的地理信息系统(GIS)收集的详细系统数据的增强型损失评估技术。用于呈现此方法的测试用例系统是与这些系统的分布协作。
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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