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Optimal Power Flow Using Bacterial Foraging Optimization (BFO)

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 232
Year: 2015
COI code: CBEC01_099
Paper Language: English

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Authors Optimal Power Flow Using Bacterial Foraging Optimization (BFO)

  Mohammad Kazemi -
Ahmad Azadi -
Seyedeh Razieh Shahrokhi -


Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. The underlying biology behind the foraging strategy of E.coli is emulated in an extraordinary manner and used as a simple optimization algorithm. This report uses the BFO algorithm for solving optimal power flow problem. The result is tested on IEEE 9 Bus and 14 Bus standard test systems.


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COI code: CBEC01_099

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Kazemi, Mohammad; Ahmad Azadi & Seyedeh Razieh Shahrokhi, 2015, Optimal Power Flow Using Bacterial Foraging Optimization (BFO), 1st National Conference on Energy of Building  and City, ساري, موسسه پژوهشي شبستان, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Kazemi, Mohammad; Ahmad Azadi & Seyedeh Razieh Shahrokhi, 2015)
Second and more: (Kazemi; Azadi & Shahrokhi, 2015)
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