A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm
Ali Aranizadeh,
Iman Niazazari and
Mirpouya Mirmozaffari
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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://eu-opensci.org/index.php/ejece/article/view/19082 Abstract page (text/html)
https://eu-opensci.org/index.php/ejece/article/download/19082/11033 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
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
Access Statistics for this article
More articles in European Journal of Electrical Engineering and Computer Science from European Open Science
Bibliographic data for series maintained by support ().