A computational model of mid-term outage scheduling for long-term system studies

被引：0
|
作者：
Marin, Manuel [1 ]
Karangelos, Efthymios [1 ]
Wehenkel, Louis [1 ]
机构：
[1] Univ Liege, Inst Montefiore, Dept EE&CS, Liege, Belgium
来源：
2017 IEEE MANCHESTER POWERTECH | 2017年
关键词：
Outage scheduling proxy; transmission systems; asset management; system development; Monte-Carlo simulations; reliability management;
D O I：
暂无
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：
This paper presents a computational model of the mid-term outage scheduling process of electric power transmission assets, to be used in long-term studies such as maintenance policy assessments and system development studies, while accounting for the impact of outage schedules on short-term system operation. We propose a greedy algorithm that schedules the outages one by one according to their impact on system operation estimated via Monte-Carlo simulations. The model is implemented in JULIA and applied to the IEEE RTS-96.
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页数：7
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