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Economic Load Dispatch Problem via Simulated Annealing Method

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Recent Advances on Soft Computing and Data Mining (SCDM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 978))

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Abstract

In the presented research work an economic load dispatch problem based on various thermal units is processed by a derivative free method based on an analogy of metals annealing. The method is heuristic in nature and has minimum probability to get stuck in the local minima with better accuracy than that of classical schemes used solve economic dispatch problem. The test data has been incorporated from IEEE bus system of thermal generators and being observed the minimum cost ($) for power generation by maximizing the power utilization and minimizing the power losses. The simulations of the various scenarios are performed for different number of thermal units and constraints applicable in economic load dispatch. The author will evaluate the effects of the applied scheme in term of applicability, accuracy, cost and the computational complexity.

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Acknowledgments

We would like to say thank you to Universiti Tun Hussein Onn Malaysia (UTHM) and Research Mangement Centre (RMC) for kindly providing us with the internal fund-ing Tier 1 (Grant Vot: H107).

Author information

Authors and Affiliations

  1. Faculty of Computer Science & Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia

    Jamaluddin Mir, Maria Imdad, Nurul Aswa Omar & Shahreen Kasim

  2. Department of Computer Science & Engineering, HITEC University, Taxila, Pakistan

    Junaid A. Khan

  3. Department of Computer Science, University of Lahore, Lahore, Islamabad, Pakistan

    Tauseef Sajid

Authors
  1. Jamaluddin Mir
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  2. Maria Imdad
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  3. Junaid A. Khan
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  4. Nurul Aswa Omar
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  5. Shahreen Kasim
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  6. Tauseef Sajid
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Corresponding author

Correspondence to Maria Imdad .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Rozaida Ghazali

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Nazri Mohd Nawi

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Mustafa Mat Deris

  4. School of Information Technology, Deakin University, Geelong Waurn Ponds Campus, VIC, Australia

    Jemal H. Abawajy

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Mir, J., Imdad, M., Khan, J.A., Omar, N.A., Kasim, S., Sajid, T. (2020). Economic Load Dispatch Problem via Simulated Annealing Method. In: Ghazali, R., Nawi, N., Deris, M., Abawajy, J. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2020. Advances in Intelligent Systems and Computing, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-36056-6_42

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