Abstract: This paper presents a new control technique for multilevel inverter based DSTATCOM to compensate reactive power and improve the Power Quality (PQ) in distribution system. In the proposed approach, Artificial Bee Colony (ABC) algorithm is employed for enhancing the learning procedure of Optimized Recurrent Neural Network (ORNN) for mitigating the PQ issues. The ORNN technique is utilized for selecting the ideal control signal of multilevel inverter through the optimal adjustments of control variables. The proposed strategy creates an ideal control of the DSTATCOM to improve the quality of power and manage the line voltage by providing proper compensation. With this control technique, PQ issues are settled with precision and rapid execution to diminish the dip and surge issues in distribution system. This work is carried out using MATLAB/Simulink platform and the execution is assessed by comparing with various techniques like Fuzzy, ANN and ANFIS.
Keywords: ORNN, DSTATCOM, PQ, Distribution System, Multilevel Inverter
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