Security Assessment in an Autonomous Converter InterfaceBased Medium Voltage Microgrid Against Power and Loads Disturbances with ANFIS

In conventional power systems, frequency and voltage deviations are chosen as indexes for characterizing conventional power system security. While in an autonomous micro grid with Electronically Interfaced Distributed Generation (EIDG), frequency and voltage deviations against power and loads disturbances perfectly controlled by f-P and V-Q controller. Unlike conventional power systems, frequency and voltage deviations are not important issues to characterize autonomous micro grid security with Electronically Interfaced Distributed Generation (EI-DG). But in a balanced autonomous micro grid Generation and Consumption power chosen as indexes for characterizing microgrid security against power and loads disturbances. Hence, micro grid is considered insecure if Generation and Consumption power balance is not established. Therefore, load shedding and generation tuning are required as prompt preventive measures. This paper suggests a new strategy to assist the micro grid against power and loads disturbance, while using Adaptive Network Based Fuzzy Inference System (ANFIS) as a methodology for this investigation. In case of ,Micro grid insecure identification, predictions prevent control strategy is suggested by another Adaptive Network Based Fuzzy Inference System (ANFIS).