OPTIMAL PLANNING AND OPERATION OF ACTUAL DISTRIBUTION SYSTEMS IN EGYPT USING A MULTI-OBJECTIVE GENETIC ALGORITHM | ||||
| ERJ. Engineering Research Journal | ||||
| Article 1, Volume 30, Issue 2, April 2007, Page 117-124 PDF (748.85 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2007.70046 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Adel A. Abou El-El1; Gamal E. M. Ali2; Abeer A. E. Shammah3 | ||||
| 1Faculty of Engineering Minou$ya Universit | ||||
| 2Faculty of Engineering Tanta Universi | ||||
| 3South Delta Electricity Distribution Company SDEDC | ||||
| Abstract | ||||
| This paper proposes procedures for optimal planning and operation of radial distribution systems (RDS). Optimal planning involves selection of the best cross-section of branches to be operated, such that the resulting RDS yields the desired performance for the existing and expanding load demand. A genetic algorithm (GA) is used to obtain the optimal branches of RDS by minimizing the sum of branch cost and present worth of the feeder energy costs, while keeping the voltage regulation within a prescribed limit and satisSying the growth factor. The multi-objective genetic algorithm (MOGA) is suggested to achieve more than one objective and satisfy the RDS constraints. After selection of the optimal branches, an optimal operation procedure of RDS is proposed using a distribution system software programming @SSP). This program is applied to obtain the optimal switched point to find the best radial reconfiguration system with minimum energy loss costs and satisfy the RDS constraints such as: branch voltage drop, thermal current carrying capacity and balanced power generation-load demand equation. Different studies are presented to illustrate the capability of the proposed optimal procedures using two real life power distribution systems. | ||||
| Keywords | ||||
| : Distribution system; Genetic Algorithm; Multi-objective genetic algorithm | ||||
|
Statistics Article View: 87 PDF Download: 130 |
||||
