Control of T-Type Neutral Point Clamped Inverter for Solar Grid Connected System with Artificial Neural Network Controller
Abstract
In grid-connected photovoltaic applications, three-phase multi-level inverters (MLI) such as Neutral point clamped (NPC), Flying capacitor (FC), and full bridge inverters (FBI) are more popular in medium voltage drive applications. However, the main drawback is leakage current (LC) flowing through inverter leading to common mode voltage (CMV), current waveform distortion, and reduction in the system's overall performance. In this article transformer less grid connected NPC inverter (TLGC-NPCI) and transformer less T-type grid connected NPC inverter (T3LGC-NPCI) is presented. T3LGC-NPCI offers numerous advantages over TLGC-NPCI, including less LC and CMV, minimum requirement of gate drive signals leads to reduce switching and conduction losses. The multi-objectives of the suggested work are (i) maintaining constant DC-Link (DCL) voltage during different solar irradiation and constant temperature using artificial neural network controller (ANNC) (ii) Space vector pulse width modulation (SVPWM) technique is implemented to reduce LC flowing through inverter and to maintain constant CMV, and (iii) the reduction in total harmonic distortion (THD) of load current. The performance analysis of the proposed system was done in Matlab/ Simulink platform. A comparative analysis with the available methods like the Proportional integral Controller (PIC) was carried out to exhibit the viability of the developed control technique.
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DOI (PDF): https://doi.org/10.20508/ijrer.v14i4.14465.g8945
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