- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Optimal Conductor Selection in Radial Distribution Systems for Productivity Improvement Using Genetic Algorithm | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 9, Issue 1, 2013, Pages 29-35 PDF (0 K) | ||
| DOI: 10.33762/eeej.2013.81786 | ||
| Authors | ||
| Mahdi Mozaffari Legha; Hassan Javaheri; Mohammad Mozaffari Legha | ||
| Abstract | ||
| Development of distribution systems result in higher system losses and poor voltage regulation. Consequently, an efficient and effective distribution system has become more urgent and important. Hence proper selection of conductors in the distribution system is important as it determines the current density and the resistance of the line. This paper examines the use of different evolutionary algorithms, genetic algorithm (GA), to optimal branch conductor selection in planning radial distribution systems with the objective to minimize the overall cost of annual energy losses and depreciation on the cost of conductors and reliability in order to improve productivity. Furthermore, The Backward-Forward sweep iterative method was adopted to solve the radial load flow analysis. Simulations are carried out on 69-bus radial distribution network using GA approach in order to show the accuracy as well as the efficiency of the proposed solution technique. | ||
| Keywords | ||
| Distribution system optimization; reliability; genetic algorithm; radial distribution systems; Backward; Forward sweep; Loss Reduction | ||
|
Statistics Article View: 200 PDF Download: 93 |
||