Hybrid Dynamic-Evolutionary Programming for Multi-Objective Long-Term Malaysia Generation Mix

  • Authors

    • Siti Mariam Mohd Shokri
    • Nofri Yenita Dahlan
    • Hasmaini Mohamad
    • Wan Nazirah Wan Md Adnan
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.19.27955
  • Multi-objective optimization, generation mix, evolutionary programming, dynamic programming, weighted sum method.

  • Abstract

    A Hybrid Dynamic-Evolutionary Programming (HDPEP) is proposed to find an optimal solution formulti-objective power generation mix model. The present contribution is intended to develop a method to facilitate simultaneous modelling of multi-objective optimization considering the cost of power generation, carbon emission and power system reliability. The study introduces the implementation of Evolutionary Programming (EP) via weighted sum method (WSM) approach within the HDPEP framework to optimize the weighted coefficient in providing accurate decision for generation mix planning. The EP-WSM reduces ‘discrimination’ when choosing the weight values of each objective function. The proposed HDPEP were compared with non-optimal weighted approach. Results show that the HDPEP model provides a better performance in providing the lowest Multi-Objectives Index (MOI)in solving multi-objective power generation mix problem.

     

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  • How to Cite

    Mariam Mohd Shokri, S., Yenita Dahlan, N., Mohamad, H., & Nazirah Wan Md Adnan, W. (2018). Hybrid Dynamic-Evolutionary Programming for Multi-Objective Long-Term Malaysia Generation Mix. International Journal of Engineering & Technology, 7(4.19), 536-545. https://doi.org/10.14419/ijet.v7i4.19.27955

    Received date: 2019-02-26

    Accepted date: 2019-02-26

    Published date: 2018-11-27