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Considering the fact that the optimal operation of micro grid is an economic dispatch of a dynamic system, the study investigates the establishment of the dynamic optimization model for optimally operating micro grid and attempts to solve the model. In view of the significance of the economic operation, for optimally determining the power outputs of each micro source and the power import from/export...
This study presents an application of Nondominated sorting genetic algorithm II (NSGA-II) to the multi-objective optimal placement of distributed generation (DG) in distribution system with special requirements for power quality and power supply. To effectively replicate different perspectives and satisfy some consumers' special requirements, a multi-objective optimization model, which considers technical,...
In this study, the installed capacity selection of a hybrid energy generation system (HEGS) based on the algorithm of improved particle swarm optimization (IPSO) with dynamically changing inertia weight and acceleration coefficients is presented. In the IPSO, the penalty technique is used to solve the optimization problem with equality and inequality constraints for updating the particle's position...
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