DocumentCode :
570461
Title :
Operation risk analysis of smart distribution network based on dynamic probability power flow
Author :
Wan Zhu ; Xingying Chen ; Kun Yu ; Wei Wei
Author_Institution :
Coll. of Energy & Electr., Hohai Univ., Nanjing, China
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
Disturbance sources such as wind power generation, solar photovoltaic system, micro power grid and electric vehicle have dual characteristics of regularity and randomness in smart distribution network, and the characteristics are quite different. The characteristic of traditional loads makes a change because of newest diversity loads such as charge facilities of electric vehicle. Solar photovoltaic system and traditional loads have strong intermittence, while wind power generation is dominated by randomness. Based on the analysis on their operation characteristics, dynamic probability model is built to decouple change curve into regular parts and random parts. State variables of the operation states of smart distribution network are described and the operation risk is analyzed on the basis of dynamic probability power flow. The simulation analysis to a distribution network was executed. The results show the main influence factors of operation risk of smart distribution network and the model presented in this paper is effective.
Keywords :
distributed power generation; distribution networks; electric vehicles; load flow; photovoltaic power systems; power grids; probability; risk analysis; solar power stations; disturbance sources; diversity loads; dynamic probability power flow; electric vehicle; micro power grid; operation risk analysis; smart distribution network; solar photovoltaic system; wind power generation; Electric vehicles; Fluctuations; Load flow; Load modeling; Power system dynamics; Vehicle dynamics; Wind power generation; distributed generator; diversity load; operation risk; smart distribution network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
Type :
conf
DOI :
10.1109/ISGT-Asia.2012.6303288
Filename :
6303288
Link To Document :
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