Application of Neuro-Fuzzy Controller on Voltage and Frequency Stability in Islanded Microgrids

In this paper a novel technique for droop control in islanded Microgrids (MGs) based on neurofuzzy technique is presented. With a proper training، this technique can prevent network from instability and collapse during violent changes in load. Main MGs challenge in the islanded mode is the lack of backup power، where due to change in load، an imbalance occurs between consumption and generation. The imbalance leads to voltage and frequency fluctuations. Increasing the imbalance may lead to the system instability. Therefore، existence a reliable control structure to prevent the system instability and collapse is needed. The proposed neuro-fuzzy control structure is designed to maintain the system stability and minimizing voltage and frequency fluctuations regardless of MG type and its structure. The most important advantage of the proposed controller is its independency from the MG structure and operating conditions.