Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks |
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Authors: | Taher Niknam Abdollah KavousifardSajad Tabatabaei Jamshid Aghaei |
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Affiliation: | a Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, P.O. 71555-313, Iran b Department of Electrical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran |
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Abstract: | In this paper a new multiobjective modified honey bee mating optimization (MHBMO) algorithm is presented to investigate the distribution feeder reconfiguration (DFR) problem considering renewable energy sources (RESs) (photovoltaics, fuel cell and wind energy) connected to the distribution network. The objective functions of the problem to be minimized are the electrical active power losses, the voltage deviations, the total electrical energy costs and the total emissions of RESs and substations. 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. Since the objective functions investigated are not the same, a fuzzy clustering algorithm 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 multiobjective optimization problem. In order to see the feasibility and effectiveness of the proposed algorithm, two standard distribution test systems are used as case studies. |
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Keywords: | MHBMO, modified honey bee mating optimization DFR, distribution feeder reconfiguration PV, photovoltaic FC, fuel cell MOP, multiobjective optimization problem MDFR, multiobjective DFR RESs, renewable energy sources |
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