A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration

@article{Trivedi2016AME,
  title={A multiobjective evolutionary algorithm based on decomposition for unit commitment problem with significant wind penetration},
  author={Anupam Trivedi and Dipti Srinivasan and Kunal Pal and Thomas Reindl},
  journal={2016 IEEE Congress on Evolutionary Computation (CEC)},
  year={2016},
  pages={3939-3946}
}
In this paper, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) is proposed to solve the unit commitment (UC) problem in presence of significant wind penetration as a multi-objective optimization problem considering cost, emission, and reliability as the multiple objectives. The uncertainties occurring due to thermal generator outage, load forecast error, and wind forecast error are incorporated using expected energy not served (EENS) reliability index and EENS cost is… CONTINUE READING

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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

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