Evaluating distribution system losses using data from deployed AMI and GIS systems
Evaluating distribution system losses using data from deployed AMI and GIS systems
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使用部署的 AMI 和 GIS 系统的数据评估配电系统损耗
DOI：
10.1109/repcon.2010.5476204
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Jim E. Foote
中科院分区：
文献类型：
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作者：
J. Triplett;Stephen Rinell;Jim E. Foote
配电系统损耗是一个现实，这是由于与组成任何电力系统的各种系统组件相关的物理特性。分析损失的技术并不新鲜，但由于可用数据的限制，主要集中在评估某些高峰需求期间的系统损失。这种“传统”分析使用行业公认的方法来估计能量损失，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的系统细节水平。通常对变电站电力变压器、配电线路、配电变压器、二次导线等系统部件进行总体分析。缺点是，各种系统组件对整个系统损耗的相对贡献可能没有被定义为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。鉴于传统的损失评估的局限性，本文将探讨增强的损失评估技术，利用从部署的高级计量基础设施（AMI）系统和详细的系统数据从可用的地理信息系统（GIS）收集的间隔负荷数据。用于呈现这种方法的测试用例系统是一个与这些系统合作的分布式系统。
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.