 Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plantsTaher Niknam, Abdollah Kavousi Fard and Alireza Seifi Renewable Energy, 2012, vol. 37, issue 1, 213-225 Abstract: In this paper a new method based on multi-objective modified Honey Bee Mating Optimization (MHBMO) algorithm is presented to investigate the DFR problem with the consideration effect of the renewable energy sources (RESs). In the proposed algorithm, a new mating process is suggested to overcome the shortcomings which exist in the original HBMO. During the optimization process, the proposed algorithm finds a set of non-dominated (Pareto) optimal solutions which are stored in an external memory called repository. Also a fuzzy clustering technique is utilized to handle the size of the repository in the specified limits. Moreover, a fuzzy-based decision maker is adopted to select the ‘best compromised’ solution among the non-dominated optimal solutions of multi-objective optimization problem. In order to evaluate the feasibility and effectiveness of the proposed algorithm, two standard distribution systems are used as case studies. Keywords: Modified Honey Bee Mating Optimization (MHBMO); Distribution feeder reconfiguration (DFR); Multi-objective optimization; Fuel cell; Wind energy; Photovoltaic (PV) (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:37:y:2012:i:1:p:213-225 DOI: 10.1016/j.renene.2011.06.017 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
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