In this paper, a new method is presented for solving the energy optimization problems. The goal is to find the optimal Energy Resources are Distributed (DER). so that minimizes the cost of the total operations. The methods we use in this paper is genetic algorithms, particle swarm algorithm and modified cuckoo optimization algorithm that genetic and particle swarm algorithms used to compare. Finally we use the proposed method which is modified cuckoo optimization Algorithm in the test Micro Grid (MG). Results show that the proposed algorithm, in addition to providing electrical necessity of Micro Grid, it can be excellent of economically, which is the goal of this paper.
vahedi behnagh, R., & rezaei pour, R. (2016). Energy Optimization in Costs MICRO-GRID Using Evolutionary Algorithm. Electronics Industries, 7(1), 19-26.
MLA
reza vahedi behnagh; roshanak rezaei pour. "Energy Optimization in Costs MICRO-GRID Using Evolutionary Algorithm". Electronics Industries, 7, 1, 2016, 19-26.
HARVARD
vahedi behnagh, R., rezaei pour, R. (2016). 'Energy Optimization in Costs MICRO-GRID Using Evolutionary Algorithm', Electronics Industries, 7(1), pp. 19-26.
VANCOUVER
vahedi behnagh, R., rezaei pour, R. Energy Optimization in Costs MICRO-GRID Using Evolutionary Algorithm. Electronics Industries, 2016; 7(1): 19-26.
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