DocumentCode :
3581102
Title :
Power supply restoration algorithm of multi-contact distribution network with distributed intelligent feeder automation system
Author :
Jianwen Du ; Guofang Zhu ; Meiyi Hou ; Ning Zhang
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan, China
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
In distribution network, the construction of multi-contact switch can increase the load transfer path and improve the operating flexibility. However, it also brings a problem about how to make full use of the spare load capacity of the multi-contact switches in the distribution network fault restoration. The distributed intelligent feeder automation system can quickly complete the fault location, isolation and restore power supply. Therefore, the intelligent optimization power supply restoration algorithm of multi-contact distribution network based on distributed intelligent feeder automation system is proposed. Taking the least interrupted load as objective and the maximum use of the spare load capacity of contact switch as recovery rule, then the recovery program is determined by the topology of the non-fault zone and the concept of the boundary switch introduced, which can short the search space and time. The effectiveness and feasibility of the power supply restoration is verified by Simulation analysis.
Keywords :
fault location; power distribution control; power distribution faults; power system restoration; switchgear; distributed intelligent feeder automation system; distribution network fault restoration; fault isolation; fault location; intelligent optimization power supply restoration algorithm; load transfer path; multicontact distribution network; multicontact switch; operating flexibility; Artificial intelligence; Automation; Contacts; Power supplies; Switches; Topology; Boundary Switch; Distributed Intelligence; Multi-Contact Distribution Network Least Interrupted Load; Service Restoration Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2014.7066118
Filename :
7066118
Link To Document :
بازگشت