Detailed reliability assessment of composite power systems considering load variation and weather conditions using the Bayesian network

被引：6

作者：

Daemi, T. ^{[1
]}

Ebrahimi, A. ^{[1
]}

机构：

[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan, Iran

来源：

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS | 2014年 / 24卷 / 03期

关键词：

Bayesian network; reliability; adverse weather; load variations; SIMULATION;

D O I：

10.1002/etep.1685

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Adverse weather has considerable effects on reliability of electric power systems. On the other hand, using the Bayesian networks (BN) in reliability studies provides the possibility of analyzing different factors, especially the importance evaluation of system components. In this paper, a novel approach is presented to consider the weather conditions and load level variation in construction and implementation of the BN associated with the composite power systems. In this approach, the geographical division model is used to model weather conditions in various regions of the given power system and also different sections of overhead transmission lines. The obtained BN provides an effective framework for comprehensive reliability study of composite power systems. Copyright (C) 2012 John Wiley & Sons, Ltd.

引用

页码：305 / 317

页数：13

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