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A Solution to Power Load Distribution Based on Enhancing Swarm Optimization

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Advances in Engineering Research and Application (ICERA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 178))

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Abstract

This paper proposes a solution to the multi-objective problem of optimal power load allocation based on enhancing particle swarm optimization (EPSO) with Pareto. We consider applying to the conventional mathematical model of objective functions to minimize the active power loss of the network, and the power grid operating limitations to the functional importance of the entire model. We implement hybrid chaos optimization with a hierarchical clustering to address the premature convergence of the PSO. The Pareto solution distribution is introduced to achieve the optimum global solution. In the section on simulation, the IEEE 57-bus benchmark is used to test the performance of the proposed scheme. Compared with the other test power system approaches, the results show that the proposed method reduced the net loss of the power system and the consumption of coal from generation sets and conserved energy sources under meeting the power system protection constraints.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam

    Truong-Giang Ngo

  2. Information Technology Faculty, Electric Power University, Hanoi, Vietnam

    Thi-Thanh Tan Nguyen

  3. Department of Information Technology, Haiphong University of Manage and Technology, Haiphong, Vietnam

    Thi-Xuan Huong Nguyen, Trinh-Dong Nguyen, Van-Chieu Do & Trong-The Nguyen

Authors
  1. Truong-Giang Ngo
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  2. Thi-Thanh Tan Nguyen
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  3. Thi-Xuan Huong Nguyen
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  4. Trinh-Dong Nguyen
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  5. Van-Chieu Do
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  6. Trong-The Nguyen
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Corresponding author

Correspondence to Truong-Giang Ngo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  5. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

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Ngo, TG., Nguyen, TT.T., Nguyen, TX.H., Nguyen, TD., Do, VC., Nguyen, TT. (2021). A Solution to Power Load Distribution Based on Enhancing Swarm Optimization. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_8

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64718-6

  • Online ISBN: 978-3-030-64719-3

  • eBook Packages: EngineeringEngineering (R0)

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