New Strategy Based on Combined Use of Genetic Algorithm and Gradient to Solve the UC Problem: Theoretical Investigation and Comparative Study

  • Authors

    • Sahbi. Marrouchi
    • Moez Ben Hessine
    • Souad Chebbi
    2018-07-27
    https://doi.org/10.14419/ijet.v7i3.13.16322
  • Unit commitment, Optimization, Scheduling, Genetic Algorithm, Gradient method

  • Abstract

    This paper presents a comparative study between a new strategy based on hybrid  Gradient-Genetic Algorithm method and metaheuristic methods for solving  Unit Commitment problem. Strategies have been applied on the IEEE electrical network 14 bus test system for a variable load profile during a discretized margin of time (24-hour time requirement). The right choice of the initial population and the best knowledge of the technical constraints specific to each generator (power balance constraints, Spinning reserve constraints, minimum up time, minimum down time ) suggests the possibility of obtaining improvements in the time execution. The adopted strategy has presented high performance both for minimizing the production cost and for the rapidity of convergence to optimal solutions and is promising compared to Genetic algorithm.

     

     

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  • How to Cite

    Marrouchi, S., Ben Hessine, M., & Chebbi, S. (2018). New Strategy Based on Combined Use of Genetic Algorithm and Gradient to Solve the UC Problem: Theoretical Investigation and Comparative Study. International Journal of Engineering & Technology, 7(3.13), 44-50. https://doi.org/10.14419/ijet.v7i3.13.16322

    Received date: 2018-07-26

    Accepted date: 2018-07-26

    Published date: 2018-07-27