Optimized Control Strategy to Adjust the Intelligent Universal Transformer for Integrating Distributed Resources to Grid

Intelligent Universal Transformer (IUT) is a smart multi functional power electronic device will comprise Advanced Distribution Automation (ADA) with new approach in distribution system in future. In contrast to traditional transformers, IUT comes with full monitoring and control functionalities and is controlled by the optimized Genetic Algorithm (GA) for tuning the Membership Functions (MFs) of Fuzzy Logic Controller (FLC). Normally it is the designer concerns to choose the best MFs and expert knowledge is emerged in MFs with no optimization procedure. FLC is non analytic alternative solution for controlling complex applications based on linguistically rules. GA is inspired by natural selection results in survival of strongest individuals in a competitive environment. It employs analogy of natural evolution to find the optimization solutions in highly complex topics. In each replication GA proposes the population of solution so that the value of next population is enhanced due to the last population. This procedure continues till the global optimal solution is occurred. In this approach the IUT application in microgrid for integrating the distributed new resources of energy to power utility is discussed and an optimized FLC fashion is presented for generating the switching pattern for the high frequency inverters of IUT in both Input-Output stages. The proposed optimized FLC together with the IUT topology yields to the smooth control scheme for integrating the microgrid to main grid which will improve the system reliability and performance.