Shoresh Shokoohi - Iranian Oil Pipelines and Telecommunication Company (IOPTC)
Hassan Bevrani - University of Kurdistan
Ali Hesami Naghshbandy - University of Kurdistan

This paper presents a new droop control strategy based on neuro-fuzzy technique to minimize voltage and frequency deviations in islanded microgrids (MGs) undersevere changes in load. In islanded MGs, due to lack of the backup power, the imbalance between consumption andgeneration usually leads to violent voltage/frequencyfluctuations. Therefore, designing a reliable control structure to prevent the MG instability is needed. The proposed controlstrategy is designed to maintain the system stability and minimize the voltage/frequency fluctuations regardless of theMG structure. The most important advantage of the proposed controller is independency from the MG structure and operating conditions. The simulation results show the appropriate operation and efficacy of the proposed controller in the presence of severe changes in load.

Microgrid, Distributed Generation, Islanded mode, Droop characteristics, ANFIS, System Stability