DocumentCode :
2092822
Title :
Optimization of UPFC location and capacity to improve the stability using ABC and GSA algorithm
Author :
Kumar, B. Vijay ; Kumar, M. Ajay ; Srikanth, N.V. ; Sekhar, Y. Chandra
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Warangal, India
fYear :
2015
fDate :
20-21 Feb. 2015
Firstpage :
1
Lastpage :
7
Abstract :
In this paper optimal location and capacity of Unified Power Flow Controller to improve the power system stability using hybrid technique composed of ABC-GSA algorithms is proposed. Here, the maximum power loss bus is identified as the most suitable location for connecting the UPFC under generator outage conditions. The optimum location has been determined using the Artificial Bees Colony (ABC) algorithm. Depending on the violated power flow quantities the Gravitational Search Algorithm (GSA) optimize the required capacity of the UPFC to recover the initial stable operating condition. The proposed work is implemented in the MATLAB platform and the performance is analyzed by comparison with individual algorithms ABC and GSA. The comparison results demonstrate the superiority of the proposed Hybrid approach and confirm its potential to solve the problem.
Keywords :
load flow control; optimisation; power system stability; ABC-GSA algorithms; MATLAB; UPFC; artificial bees colony algorithm; gravitational search algorithm; power system stability; unified power flow controller; Generators; Hybrid power systems; Joining processes; Load flow; Optimization; Power system stability; Stability analysis; ABC; GSA; UPFC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2015 IEEE
Conference_Location :
Champaign, IL
Type :
conf
DOI :
10.1109/PECI.2015.7064892
Filename :
7064892
Link To Document :
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