کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
301392 | 512504 | 2012 | 13 صفحه PDF | دانلود رایگان |
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.
► Optimal operation and Clean Air Act Amendments.
► Utilization of renewable energy power plants.
► Save energy and environmental pollution.
Journal: Renewable Energy - Volume 37, Issue 1, January 2012, Pages 213–225