- 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
A Hybrid Intelligent Algorithm to Solve the Unit Commitment Problem | ||
| Journal of Engineering and Sustainable Development | ||
| Article 1, Volume 17, Issue 1, 2013, Pages 41-47 | ||
| Authors | ||
| Qais M. Alias; Azhar M. Al-rawi | ||
| Abstract | ||
| Generation unit’s commitment is a large complex decision making problem due to many difficulties such as multiple constraints, variety of unit’s specification and different fuel used. In this work a hybrid intelligent technique is produced by genetic algorithm seeded by LaGrange multiplier method to solve the unit commitment problem for a 10 units large dimension network system using multiple mitigation techniques. This is to reduce the adverse impacts of the difficulties mentioned above. The solution results in an optimal operation schedule during a 24 hours load profile serving a load demand in addition to a required spinning reserve | ||
| Keywords | ||
| Unit Commitment; Hybrid Intelligence; and Genetic Algorithm | ||
|
Statistics Article View: 163 PDF Download: 18 |
||