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A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem

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Advanced Information Networking and Applications (AINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1151))

Abstract

Electric power from several sources in an electrical power system is to be accurately planned for economical and reliable operation. Power loss minimization, generation, and fuel cost minimization, voltage stability and carbon emission reduction are the prominent advantages of OFP. Thus, recently, the optimal solution of OPF become a valuable part of power system planning and optimization. This paper presents a mini-review on methods applied for the OPF solution. The applied methods include conventional and metaheuristic methodologies for solving the OPF problem. Moreover, the most recently applied metaheuristic methods for solving the OPF problem are covered and presented, including considered OFP type, validation test system, and numerous optimization objectives.

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Acknowledgments

The authors would like to thank the State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology for providing the essential facilities.

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Authors and Affiliations

  1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zia Ullah, M. R. Elkadeem & Shaorong Wang

  2. Electrical Power and Machines Engineering Department, Tanta University, Tanta, 31521, Egypt

    M. R. Elkadeem

  3. Energy and Power Engineering, Jiangsu University, Zhenjiang, 212013, China

    Muhammad Azam

  4. Department of Electrical Engineering, National University of Sciences and Technology, Islamabad, 44000, Pakistan

    Khdija Shaheen

  5. Department of Electrical Engineering, Superior College Lahore, Lahore, 54000, Pakistan

    Mehmood Hussain & Muhammad Rizwan

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  1. Zia Ullah
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  2. M. R. Elkadeem
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  3. Shaorong Wang
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  4. Muhammad Azam
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  5. Khdija Shaheen
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  6. Mehmood Hussain
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  7. Muhammad Rizwan
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Correspondence to Zia Ullah .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Ullah, Z. et al. (2020). A Mini-review: Conventional and Metaheuristic Optimization Methods for the Solution of Optimal Power Flow (OPF) Problem. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_29

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