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A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm

  • Research Article-Computer Engineering and Computer Science
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Abstract

In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and \(\beta \)-hill climbing optimizer as a single point-based algorithm. The proposed hybrid SSA is abbreviated as HSSA. This is to achieve the right balance between the intensification and diversification of the ELD search space. ELD is an important problem in the power systems which is concerned with scheduling the generation units in active generators in optimal way to minimize the fuel cost in accordance with equality and inequality constraints. The proposed HSSA is evaluated using six real-world ELD systems: 3-unit generator, two cases of 13-unit generator, 40-unit generator, 80-unit generator, and 140-unit generator system. These ELD systems are well circulated in the previous literature. The comparative results against 66 well-regarded algorithms are conducted. The results show that the proposed HSSA is able to produce viable and competitive solutions for ELD problems.

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Acknowledgements

This work has been carried out during sabbatical leave granted to the author Mahmud Salem Alkoffash from Al-Balqa Applied University during the academic year 2018/2019.

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Authors and Affiliations

  1. Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, Al-Huson, Irbid, Jordan

    Mahmud Salem Alkoffash & Mohammed Azmi Al-Betar

  2. Department of Computer Science, Al-Aqsa University, P.O. Box 4051, Gaza, Palestine

    Mohammed A. Awadallah

  3. Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, UAE

    Mohammed A. Awadallah

  4. Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt, Jordan

    Mohammed Alweshah

  5. Sorbonne University Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, Abu Dhabi, UAE

    Raed Abu Zitar

  6. Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, UAE

    Khaled Assaleh & Mohammed Azmi Al-Betar

  7. Department of Geomatics, Architecture and Planning Faculty, King Abdulaziz University, Jeddah, Saudi Arabia

    Mahmud Salem Alkoffash

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  1. Mahmud Salem Alkoffash
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Alkoffash, M.S., Awadallah, M.A., Alweshah, M. et al. A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm. Arab J Sci Eng 46, 8721–8740 (2021). https://doi.org/10.1007/s13369-021-05646-z

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