Reliability evaluation of Bangladesh Power System using cumulant method

N. Al-Masood, M. Sahadat, S. R. Deeba, S. Ahmad, G. Biswas, A. Elahi, N. M. Zakaria
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引用次数: 5

Abstract

In recent years, power systems are frequently operating under highly stressed and unpredictable conditions because of not only the market-oriented reform of power systems but also the integration of various renewable energy sources. The uncertain factors resulting from the market constraints and the inherent randomness of renewable energy set higher requirements on the reliability of electric networks. This paper presents the reliability assessment of Bangladesh Power System (BPS). Reliability index, loss of load probability (LOLP) of BPS is evaluated using cumulant method. The rationale for using the cumulant method is to take advantage of its computational efficiency. BPS has sixty one generators and a total installed capacity of 5275 MW. The maximum demand of BPS is about 5000 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index ‘LOLP’ is assessed. The simulation results show that the LOLP of BPS is 2.06%.
基于累积量法的孟加拉电力系统可靠性评估
近年来,由于电力系统市场化改革和各种可再生能源的整合,电力系统经常处于高负荷和不可预测的状态下运行。市场约束和可再生能源本身的随机性所带来的不确定性因素对电网的可靠性提出了更高的要求。本文介绍了孟加拉国电力系统(BPS)的可靠性评估。采用累积量法对BPS的可靠性指标、失载概率(LOLP)进行了评估。使用累积量法的基本原理是利用其计算效率。英国电力公司有61台发电机,总装机容量为5275兆瓦。BPS的最大需求量约为5000兆瓦。发电机的相关数据和每小时负荷概况从孟加拉国国家负荷调度中心(NLDC)收集,并评估可靠性指数“LOLP”。仿真结果表明,BPS的LOLP为2.06%。
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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