In this article, in order to improve the performance of a micro-grid, a complete and practical model for electric energy storage is presented. In order to optimize the energy in the micro-grid, a dual-purpose objective function has been considered, and the main purpose
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In this article, in order to improve the performance of a micro-grid, a complete and practical model for electric energy storage is presented. In order to optimize the energy in the micro-grid, a dual-purpose objective function has been considered, and the main purpose of this function is to simultaneously minimize the total operating costs and environmental pollutants by considering the uncertainty in the micro-grid. In the optimization part, due to the large search space of the above problem and its non-linearity, the proposed improved particle swarm algorithm has been used. Comparing the answers obtained through the above optimization algorithm with other optimization algorithms shows that the above algorithm is more efficient and has higher speed and accuracy. Finally, the proposed algorithm for managing the electrical energy of the entire micro-grid, the working points of all scattered production sources, how to charge and discharge electrical energy storage devices, as well as the amount of electrical power exchanged with the upstream network, in the condition that the total operating costs and environmental pollution Production is simultaneously minimized and optimized.
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