Optimal Sizing of Two Interactive Microgrids by Implementation of PSO Algorithm

According to the conditions of the present era and the importance of electricity in our world, it is felt more moving towards applying of new and technological methods to produce this energy in cleaner and more economical way and investing in this sector. Distributed Generations as one of the main solutions for this aim have been considered by energy policymakers in countries. Distributed generations that restructure the power system and reduces centralization in power generation are usually used in a new structure called a microgrid. The microgrid is one of the main components in the smart grid subset, which is a grid with new telecommunication technologies, measurement and energy production. A very important issue in microgrids is the optimization of investment required to create microgrids and costs over the life of the project by considering the required elements and infrastructures. In this dissertation, by considering two interacting microgrids that are adjacent to each other, the issue of optimizing the size of their components using particle swarm optimization (PSO) algorithm and using an intelligent multi agent system in each microgrid has been investigated. The simulation results of both interactive microgrids, which are the optimal size of their components and the optimal cost of creating each microgrid, have been obtained and examined using MATLAB software.