A Hybrid Intelligent Algorithm to Solve the Unit Commitment Problem

Authors

  • Qais M. Alias Department of Electrical and Electronic Engineering, University of Technology, Baghdad, Iraq Author
  • Azhar M. Al-rawi Department of Computer Engineering, Al-Mamon University College, Baghdad, Iraq Author

Keywords:

Unit Commitment, Hybrid Intelligence, Genetic Algorithm

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

 

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Key Dates

Published

2013-03-01

How to Cite

A Hybrid Intelligent Algorithm to Solve the Unit Commitment Problem. (2013). Journal of Engineering and Sustainable Development, 17(1), 41-47. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1014

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