Application of metaheuristic algorithms in DC-optimal power flow

Oluwafemi Ajayi, Nnamdi Nwulu, Uyikumhe Damisa

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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 languageEnglish
Pages (from-to)867-872
Number of pages6
JournalAfrican Journal of Science, Technology, Innovation and Development
Issue number7
Publication statusPublished - 2020


  • 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


Dive into the research topics of 'Application of metaheuristic algorithms in DC-optimal power flow'. Together they form a unique fingerprint.

Cite this