OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 32, Issue 1, January 2009, Page 1-10 PDF (480.64 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2009.69383 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Adel A. Abou El-Ela1; Gamal E. M. Aly2; Abeer A. E. Shammali3 | ||||
| 1Faculty of Engineering,Minoufiya University | ||||
| 2Faculty of Engineering,Tanta University | ||||
| 3South Delta Electricity Distribution Company SDEDC | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Optimal placement of capacitor banks — performance indices — Multi-objective; functions — Genetic Algorithms — Radial distribution systems | ||||
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