DocumentCode :
541362
Title :
On service restoration considering frequency property of distributed generation
Author :
Zhao Lu ; Lin Tao ; Xu Xialing ; Bi Yue
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
In order to solve the problem of service restoration in distribution network based on distributed generation, this paper treated it as a multi-object nonlinear optimization problem with constrains like the type, capacity and priority of important loads. In this paper, four possible operation modes are considered, and loads are divided into three levels. Further, islanding algorithm based on a new judging method is used to check network connectivity; load shed and network reconfiguration strategies based on bacterial colony chemotaxis optimization algorithm is proposed to achieve the objections of maximum load restoration and minimum switch action; and the flexible power flow algorithm is used to check system frequency constrain. In the end, the service restoration strategy is verified using IEEE 33-node system, and simulation results demonstrate the effectiveness of the proposed method.
Keywords :
distributed power generation; distribution networks; load flow; load shedding; nonlinear programming; power system restoration; IEEE 33-node system; bacterial colony chemotaxis optimization algorithm; distributed generation; distribution network; islanding algorithm; judging method; load restoration; load shedding; multiobject nonlinear optimization problem; network reconfiguration strategy; service restoration strategy; system frequency constrain; the flexible power flow algorithm; Distributed power generation; Generators; Load flow; Microorganisms; Optimization; Switches; distributed generation; flexible power flow algorithm; optimization algorithm; service restoration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8
Type :
conf
Filename :
5736074
Link To Document :
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