Investigation of the Impact of Weather on Multi-Machine Transient Stability Analysis

被引：2
|
作者：
Ahmed, Arif [1 ,2 ,3 ,4 ]
McFadden, Fiona Stevens [1 ,2 ,3 ]
Rayudu, Ramesh [3 ]
Massier, Tobias [4 ]
机构：
[1] Victoria Univ Wellington, Robinson Res Inst, Wellington 6140, New Zealand
[2] Victoria Univ Wellington, Smart Power & Renewable Energy Syst Grp, Wellington 6140, New Zealand
[3] Victoria Univ Wellington, Sch Engn & Comp Sci, Wellington 6140, New Zealand
[4] TUMCREATE, 1 CREATE Way,10-02 CREATE Tower, Singapore 138602, Singapore
来源：
2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2020年
基金：
新加坡国家研究基金会;
关键词：
Transient Stability Analysis; Weather Dependent Transient Stability Analysis; Multi-machine Systems;
D O I：
10.1109/isgt45199.2020.9087697
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Transient stability analysis (TSA) deals with instability due to large disturbances in the power system. Traditionally, TSA is performed by time-consuming time-domain simulations based on simplified assumptions that do not model the weather-dependent characteristics. However, weather affects power flow analysis (PFA). Therefore, an impact of weather on TSA is anticipated. In this manuscript, the weather-dependent impacts are fully modelled and considered for TSA of multi-machine systems. Consequently, impact of weather on transient stability of a multi-machine system is investigated by considering real weather data. The influence of weather on TSA of transmission and distribution networks by performing time-domain fault simulations are carried out to demonstrate clearly that varying weather conditions impact the machine rotor angles and critical fault clearing times, causing these to vary with the weather, unlike conventional multi-machine transient stability analysis (MMTSA). It is also demonstrated that consideration of weather for TSA is more suitable for distribution networks having high R/X ratios and lower inertia.
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页数：5
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