DocumentCode :
2606253
Title :
Study on the optimal allocation of emergency power supplies for urban important customers
Author :
Zhou, Limei ; Fan, Mingtian ; Zhang, Zuping
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
The optimal allocation of emergency power supplies should consider the distribution of existing distributed generators, capacity of existing emergency power suppliers in each local district utility and important customers´ needs for emergency power supplies. Based on the relationship between power supply reliability and economy, the optimum model of emergency power supplies has been proposed in this paper with the minimum total cost as objective function and some constraints such as time and capacity etc. An optimal algorithm of emergency power supplies based on genetic algorithm is put forward. The model and algorithm brought forward are proved by a practical example and software development based on GIS. The study results help to improve power supply reliability and the ability of urban electric network for emergency situation, reduce customers´ outage costs and guarantee power system with preventive and emergency measures facing natural and man-made disasters.
Keywords :
distributed power generation; emergency power supply; genetic algorithms; power supply quality; GIS; distributed generators; emergency power supplies; genetic algorithm; man-made disasters; natural disasters; power supply reliability; urban electric network; urban important customers; Cost function; Distributed power generation; Emergency power supplies; Genetic algorithms; Power generation; Power system modeling; Power system reliability; Programming; Software algorithms; Time factors; distributed generators; emergency power supply; genetic algorithm; geographic information system; mobile power generating vehicle; shortest path analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348364
Filename :
5348364
Link To Document :
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