A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm

Ali Aranizadeh, Iman Niazazari and Mirpouya Mirmozaffari
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Ali Aranizadeh: Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran
Iman Niazazari: Department of Electrical and Biomedical Engineering, University of Nevada, Reno, USA
Mirpouya Mirmozaffari: Gainforte School of Computing, Montana State University, Bozeman, USA.

European Journal of Electrical Engineering and Computer Science, 2019, vol. 3, issue 3

Abstract: The optimal sizing and placement of distributed generators have recently drawn a considerable attention to itself. This paper proposes an evolutionary cuckoo optimization algorithm (COA) for optimal placement of distributed generation (DG) in a distribution system. The optimal DG placement problem is formulated as a cost function of network losses, voltage profile, and DG expenses. The proposed method is validated on a 13-bus distribution system. The results show that any variation in the parameter’s weight in the objective function leads to a significant change in the prediction of the DG’s location and capacity.

Keywords: Index Terms— Cuckoo optimization algorithm; distributed generation; fuel cost; network loss; voltage profile (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejece0:v:3:y:2019:i:3:id:19082

DOI: 10.24018/ejece.2019.3.3.82

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