Application of metaheuristic algorithms in DC-optimal power flow

Oluwafemi Ajayi; Nnamdi Nwulu; Uyikumhe Damisa

doi:10.1080/20421338.2020.1726084

Application of metaheuristic algorithms in DC-optimal power flow

Oluwafemi Ajayi, Nnamdi Nwulu, Uyikumhe Damisa

Electrical and Electronic Engineering Science

University of Johannesburg

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This paper presents the application of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) in solving the DC optimal power flow problem. The objective of this study is to minimize fuel costs associated with electricity generation. Advanced Interactive Multidimensional Modelling Software is also used to solve the same optimization problem and the results obtained from using this method are used to validate those from the two metaheuristic algorithms. The three methods have been implemented on the standard IEEE 14- and 30-bus system, as well as the 62-bus Indian utility system. From the analysis, the results obtained prove the robustness and effectiveness of using both algorithms to solve DC optimal power flow and even more complex optimization problems.

Original language	English
Pages (from-to)	867-872
Number of pages	6
Journal	African Journal of Science, Technology, Innovation and Development
Volume	12
Issue number	7
DOIs	https://doi.org/10.1080/20421338.2020.1726084
Publication status	Published - 2020

Keywords

Ant Lion Optimizer
Exchange Market Algorithm
metaheuristic algorithms
optimal power flow

ASJC Scopus subject areas

Civil and Structural Engineering
Development
Computer Science Applications
Computer Networks and Communications

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10.1080/20421338.2020.1726084

Cite this

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title = "Application of metaheuristic algorithms in DC-optimal power flow",

abstract = "This paper presents the application of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) in solving the DC optimal power flow problem. The objective of this study is to minimize fuel costs associated with electricity generation. Advanced Interactive Multidimensional Modelling Software is also used to solve the same optimization problem and the results obtained from using this method are used to validate those from the two metaheuristic algorithms. The three methods have been implemented on the standard IEEE 14- and 30-bus system, as well as the 62-bus Indian utility system. From the analysis, the results obtained prove the robustness and effectiveness of using both algorithms to solve DC optimal power flow and even more complex optimization problems.",

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T1 - Application of metaheuristic algorithms in DC-optimal power flow

AU - Ajayi, Oluwafemi

AU - Nwulu, Nnamdi

AU - Damisa, Uyikumhe

PY - 2020

Y1 - 2020

N2 - This paper presents the application of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) in solving the DC optimal power flow problem. The objective of this study is to minimize fuel costs associated with electricity generation. Advanced Interactive Multidimensional Modelling Software is also used to solve the same optimization problem and the results obtained from using this method are used to validate those from the two metaheuristic algorithms. The three methods have been implemented on the standard IEEE 14- and 30-bus system, as well as the 62-bus Indian utility system. From the analysis, the results obtained prove the robustness and effectiveness of using both algorithms to solve DC optimal power flow and even more complex optimization problems.

AB - This paper presents the application of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) in solving the DC optimal power flow problem. The objective of this study is to minimize fuel costs associated with electricity generation. Advanced Interactive Multidimensional Modelling Software is also used to solve the same optimization problem and the results obtained from using this method are used to validate those from the two metaheuristic algorithms. The three methods have been implemented on the standard IEEE 14- and 30-bus system, as well as the 62-bus Indian utility system. From the analysis, the results obtained prove the robustness and effectiveness of using both algorithms to solve DC optimal power flow and even more complex optimization problems.

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KW - Exchange Market Algorithm

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JO - African Journal of Science, Technology, Innovation and Development

JF - African Journal of Science, Technology, Innovation and Development

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Application of metaheuristic algorithms in DC-optimal power flow

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Keywords

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