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Recent trends in bio-inspired meta-heuristic optimization techniques in control applications for electrical systems: a review

International Journal of Dynamics and Control volume 10, pages 999–1011 (2022)Cite this article

Abstract

This article represents a brief study on popular bio-inspired meta-heuristic optimization methods and their applications. These methods, which imitate biological phenomena or natural occurrences, have the potential to solve real-world problems. This article looked at several popular optimization methods and briefly discussed them. Although these methods have been used in a variety of domains of science and engineering, this article has focused on control engineering and electrical power systems in particular. This article aimed to provide a clearer picture of the recent trends and practices in the use of optimization in various control studies and research studies related to electrical system optimization.

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Fig. 1

Abbreviations

      ACO:

Ant colony optimization

ABC:

Artificial bee colony

AVR:

Automatic voltage regulator

CS:

Cuckoo search

DA:

Dragonfly algorithm

GA:

Genetic algorithm

GWO:

Grey wolf optimization

GOA:

Grasshopper optimization algorithm

ILQG:

Integral linear quadratic Gaussian

ITAE:

Integral of time multiplied absolute error

ITSE:

Integral of time weighted squared error

LQR:

Linear quadratic regulator

LQG:

Linear quadratic Gaussian

LAE:

Least average error

MA:

Mayfly algorithm

MPC:

Model predictive control

MPPT:

Maximum power point tracking

MG:

Microgrid

PSO:

Particle swarm optimization

PID:

Proportional integral derivative

PV:

Photovoltaic

SSA:

Salp swarm algorithm

WO:

Whale optimization

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh

    Md. Hassanul Karim Roni, M. S. Rana & Md. Mahmudul Hasan

  2. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, 2600, Australia

    H. R. Pota

  3. Department of Physics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh

    Md. Shajid Hussain

Authors
  1. Md. Hassanul Karim Roni
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  2. M. S. Rana
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  3. H. R. Pota
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  4. Md. Mahmudul Hasan
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  5. Md. Shajid Hussain
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Contributions

1. Md. Hassanul Karim Roni: Research, writing, drafting. 2. M. S. Rana: Supervision, Proof Reading, drafting. 3. H. R. Pota: Supervision, Proof Reading. 4. Md. Mahmudul Hasan: Research. 5. Md. Shajid Hussain: Research.

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Roni, M.H.K., Rana, M.S., Pota, H.R. et al. Recent trends in bio-inspired meta-heuristic optimization techniques in control applications for electrical systems: a review. Int. J. Dynam. Control 10, 999–1011 (2022). https://doi.org/10.1007/s40435-021-00892-3

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