DocumentCode :
797573
Title :
Application of ESGA hybrid approach for voltage profile improvement by capacitor placement
Author :
Kim, Kyu-Ho ; Rhee, Sang-Bong ; Kim, Soo-Nam ; You, Seok-Ku
Author_Institution :
Dept. of Electr. Eng., Ansan Coll. of Technol., South Korea
Volume :
18
Issue :
4
fYear :
2003
Firstpage :
1516
Lastpage :
1522
Abstract :
This paper presents elite-based simplex-GA hybrid approach combined with multipop-GA (ESGA) to determining the location, size, and number of capacitors to improve voltage profile and minimize power losses in unbalanced distribution systems. One of the main obstacles in applying GA to complex problems has been the high computational cost due to their slow convergence rate. To alleviate this difficulty, ESGA hybrid approach was developed that combines elite-based simplex-GA hybrid approach with multipop-GA. The objective function formulated consists of two terms: cost for energy losses and cost related to capacitor purchase and capacitor installation. The cost function associated with capacitor placement is considered as a step function due to banks of standard discrete capacities. Its efficiency was proved through the application in IEEE 13-bus and 34-bus test systems and was compared with several methods using GA.
Keywords :
distribution networks; genetic algorithms; load flow; losses; power capacitors; ESGA hybrid approach; IEEE 13-bus test system; IEEE 34-bus test system; capacitor installation; capacitor placement; capacitor purchase; capacitors location; elite-based simplex-GA hybrid approach; energy losses costs; multipop-GA; power losses minimisation; slow convergence rate; three-phase power flow; unbalanced distribution systems; voltage profile improvement; Capacitors; Computational efficiency; Convergence; Cost function; Energy loss; Genetic algorithms; Master-slave; Sensitivity analysis; System testing; Voltage;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2003.817814
Filename :
1234713
Link To Document :
بازگشت