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Issue title: Selected papers from the 4th Iranian Joint Congress On Fuzzy and Intelligent Systems – CFIS2015, 9–11 September 2015
Article type: Research Article
Authors: Vahid, Masoud Zahedi | Sadegh, Mahmoud Oukati*
Affiliations: Department of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran
Correspondence: [*] Corresponding author. Mahmoud Oukati Sadegh, Department of Electrical and Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran. Tel.: +98 9155417813; E-mail: oukati@ece.usb.ac.ir.
Abstract: Loss reduction planning is considered one of the most significant and sensitive distribution designing system. The planning process to reduce losses along with distributed generation sources results in a non-convex, non-linear optimization problem, mixed with integer variables, which requires complicated calculations. To solve this problem, novel optimization algorithms such as harmony Search (HS) algorithm can be used for different optimization problems. This paper presents an effective intelligent optimization method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system using new set of harmony search algorithms, called self-adaptive. To verify the efficiency of the algorithm the results have been analyzed in the IEEE standard system. The results show the strength, appropriate efficiency and superior performance of this algorithm in comparison to the original harmony Search algorithm and other optimization algorithms as well.
Keywords: Loss reduction, reconfiguration, self-adaptive harmony search algorithm, distributed generation, optimization
DOI: 10.3233/IFS-152052
Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1393-1402, 2016
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