MLP Control Algorithm for Adaptable Dual-Mode Single-Stage Solar PV System Tied to Three-Phase Voltage-Weak Distribution Grid

In this paper, an adaptable dual-mode single-stage solar photovoltaic (PV) tied to a three-phase voltage-weak distribution network is proposed using a multilayer perceptron (MLP) neural network control structure. The system operates in dual modes: First, it performs as a PV supplying active power with distributed static compensator (DSTATCOM) capability thereby improving power quality simultaneously; and second, it works as a DSTATCOM alone during unavailability of the solar PV generation. The system is adaptable as it continues to operate satisfactorily for voltage-weak distribution grid that has frequent voltage fluctuations and flickers. A single-stage converter based system is utilized here, which incorporates an incremental conductance based approach for maximum power point tracking and MLP neural network structure for the extraction of fundamental components of load currents. The main advantages of MLP are its simplicity, generic nature, and ease of implementation. The system and the control algorithm are validated by using MATLAB-based simulation results and test results are achieved on a laboratory prototype.