Innovative Adaptive Intelligent Scheme for Voltage-Frequency Control in Inverter-based Microgrid

In modern power grids, in order to ensure the capability of maintaining balance between supply and demand under violent disturbances, increasing intelligence and flexibility in the optimization and control sides are required. There are several electronic interfaced Distributed Generations (DGs) with local and global control loops in a microgrid. Because of utilization of different DGs and transition between different operation modes, microgrid has dynamic behavior. So, in the case of any contingency, fault occurrence or severe changes in load, the electronic interfaced DGs may be failed in voltage and frequency regulation and the microgrid is collapsed. The conventional PI controllers (with fixed coefficients) are utilized in primary voltage/frequency control units in electronic interfaced DGs control systems. But in the case of severe changes in microgrid load and its operation conditions, the conventional PI controllers may be inadequate and cannot provide desirable performance. In this paper, Adaptive Neuro-Fuzzy Interface System (ANFIS) structure is used for adapting the PI controller coefficients in the primary control level. The developed system based on ANFIS structure has perfect performance and proper response for different conditions.