DocumentCode :
3035714
Title :
Power system restoration, reconfiguration and optimization using Field Programmable Gate Array
Author :
Kumar, K. Sathish ; Jayabarathi, T. ; Karthikeyan, S. Prabhakar ; Raglend, I. Jacob ; Kothari, D.P.
Author_Institution :
Sch. of Electr. Eng., VIT, Vellore, India
fYear :
2011
fDate :
23-24 March 2011
Firstpage :
57
Lastpage :
62
Abstract :
The aim of our study is the optimization after restoring and reconfigure the faulted area in a distribution network after locating and isolating the faulted block. Restoration involves changing the switch status to maximize the supply to loads that are left unsupplied after fault removal. After system optimization using reconfiguration, Field Programmable Gate Array (FPGA) is used in order to control the switches by generating the pulses for the stable configuration. In the proposed system restoration and reconfiguration process is achieved in 16 bus system and simultaneously load flow analysis is performed before and after the fault and the same is verified in MATLAB. Optimization using Binary Particle Swarm Optimization (BPSO) is done in order to get the most stable configuration for restoration process by minimizing the LBI (load balancing index).
Keywords :
fault location; field programmable gate arrays; load flow; particle swarm optimisation; power distribution faults; power system restoration; power system stability; 16 bus system; MATLAB; binary particle swarm optimization; distribution network; fault removal; field programmable gate array; load balancing index; load flow analysis; load supply; power system restoration; pulse generation; Field programmable gate arrays; Indexes; Load management; Optimization; Particle swarm optimization; Switches; Field Programmable Gate Array and Binary Particle Swarm Optimization; Load Balancing Index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
Type :
conf
DOI :
10.1109/ICETECT.2011.5760091
Filename :
5760091
Link To Document :
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