Grid tied solar PV system with power quality enhancement using adaptive generalized maximum Versoria criterion

Abstract

A three phase grid tied solar photovoltaic (PV) system with power quality compensation features is presented in this paper. This system is operated to transfer power generated from solar PV array to feed linear and nonlinear loads along with compensation of several power quality (PQ) issues such as harmonics, redundant reactive power and load unbalancing. The generated DC power from PV array is converted into AC by implementing a three phase voltage source converter (VSC). In order to transfer active power and mitigate PQ problems, an efficient control technique is required for grid tied solar PV system. This work presents the use of adaptive generalized maximum Versoria criterion (AGMVC) controller for VSC used in solar PV energy conversion system. Efficient utilization of solar PV array is accomplished by using Perturb and Observe based maximum power point tracking (MPPT) algorithm. The experimental setup of grid integrated PV system is implemented in the laboratory using IGBT based VSC and DSP (dSPACE DS-1202). Performance of AGMVC control technique is verified experimentally using laboratory prototype. This control technique is compared with different conventional controllers such as synchronous reference frame theory (SRFT) and instantaneous reactive power theory (IRPT) along with recently developed weight based controllers viz. least mean square (LMS), least mean mixed norm (LMMN) and normalized kernel least mean fourth-neural network (NKLMF-NN). Numerous terms such as fundamental weight convergence, steady state error, computational complexity, phase lock loop (PLL) requirement and harmonic compensation capability are considered for comparison purpose of AGMVC with the above listed control techniques. The system performance is verified according to IEEE-519 standard.