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Regional grouping of an interconnected transmission system using the sequential clustering technique

机译:使用顺序聚类技术的互连传输系统的区域分组

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This paper proposes a sequential clustering method as a tool for effective clustering of transmission systems. The interconnected power system contains locational information for each transmission line, such as locational marginal price (LMP) and network-related characteristics of the system. With such locational information of each bus, this paper aims to carry out regional clustering for the interconnected power system. Regional clustering is primarily based on transmission usage rate, so called the similarity measures of regional information and LMP. The transmission usage rate is determined by power flow based on congestion costs and similarity measure using the Fuzzy C-Mean (FCM) algorithm. This paper also aims to show the usefulness of the proposed clustering method by comparing its results with those of existing clustering methods that use the same similarity measure [9]. The method proposed in this paper is demonstrated in IEEE 39-bus.
机译:本文提出了一种顺序聚类方法作为传输系统有效聚类的工具。互连的电力系统包含每条传输线的位置信息,例如位置边际价格(LMP)和系统的网络相关特性。利用每条母线的位置信息,本文旨在对互连的电力系统进行区域聚类。区域聚类主要基于传输使用率,即所谓的区域信息与LMP的相似性度量。传输使用率由电力流基于拥塞成本和使用模糊C均值(FCM)算法的相似性度量确定。本文还旨在通过将其结果与使用相同相似性度量[9]的现有聚类方法的结果进行比较,以显示该聚类方法的有用性。本文提出的方法在IEEE 39总线中得到了证明。

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