This paper presents a proposed optimization procedure (POP) to find the optimal sitting and sizing of capacitor banks in order to reduce the power and energy losses, increase the available capacity of the feeders and improve the feeder voltage profile. This technique uses the voltage regulation index (VRI) and loading performance index (LPJ) to find the optimal placement of capacitor banks in the radial distribution systems (RDS). The multi-objective Genetic algorithm (MOGA) is used as an optimization technique to achieve the multi-nonlinear inflected objective functions for optimal sitting and sizing of capacitor banks problem. These objective functions are: minimizing the cost of power losses, minimizing the cost of energy losses, minimizing of voltage deviation, minimizing the cost of capacitor banks and maximizing ofthe feeder power factor. These objective functions are achieved simultaneously, while many radial distribution system constraints are satisfied. Actual power distribution systems, as apart of Egyptian distribution network, are used to show the capability of the proposed technique to improve the feeder performance through optimally sitting and sizing of capacitor banks.
A. Abou El-Ela, A., E. M. Aly, G., & A. E. Shammali, A. (2009). OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM. ERJ. Engineering Research Journal, 32(1), 1-10. doi: 10.21608/erjm.2009.69383
MLA
Adel A. Abou El-Ela; Gamal E. M. Aly; Abeer A. E. Shammali. "OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM". ERJ. Engineering Research Journal, 32, 1, 2009, 1-10. doi: 10.21608/erjm.2009.69383
HARVARD
A. Abou El-Ela, A., E. M. Aly, G., A. E. Shammali, A. (2009). 'OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM', ERJ. Engineering Research Journal, 32(1), pp. 1-10. doi: 10.21608/erjm.2009.69383
VANCOUVER
A. Abou El-Ela, A., E. M. Aly, G., A. E. Shammali, A. OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM. ERJ. Engineering Research Journal, 2009; 32(1): 1-10. doi: 10.21608/erjm.2009.69383