Outage Data Analysis of the Overhead Transmission Lines in Kazakhstan Power System

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI:10.1109/PMAPS47429.2020.9183569

Yerzhigit Bapin, S. Ekisheva, M. Papic, Vasilios Zarikas

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Abstract

This paper presents a first comprehensive statistical study of transmission inventory and outage data of overhead AC circuits in the Kazakhstan Electricity Grid Operating Company (KEGOC). The analysis is based on the data collected and reported to the KEGOC centralized outage data collection system during the years 2013 to 2018. The outage-data statistics of KEGOC have been analyzed to demonstrate the leading cause-code and seasonal contributions to the automatic outages of overhead transmission lines of 200 kV and above voltage classes. The KEGOC’s 6-year collected outage data are used to estimate basic reliability indices (frequency of automatic and sustained automatic outages per circuit and per hundred kilometers, outage duration, and an element unavailability) that are needed to perform any type of probabilistic reliability studies. Also, these 6-year collected outage data are used to assess and benchmark the reliability performance of a system’s zones. The importance of these kinds of data and analysis for reliability applications is stressed.

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哈萨克斯坦电力系统架空输电线路停电数据分析

本文首次对哈萨克斯坦电网运营公司(KEGOC)架空交流线路的输电库存和停电数据进行了全面的统计研究。该分析基于2013年至2018年期间收集并报告给KEGOC集中停电数据收集系统的数据。通过对KEGOC的停电数据统计分析，揭示了200千伏及以上电压等级架空输电线路自动停电的主要原因代码和季节性贡献。KEGOC收集的6年停电数据用于估计执行任何类型的概率可靠性研究所需的基本可靠性指标(每条线路和每百公里自动和持续自动停电的频率、停电持续时间和元件不可用性)。此外，这些6年收集的停机数据用于评估系统区域的可靠性性能并对其进行基准测试。强调了这类数据和分析对可靠性应用的重要性。

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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2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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