A three phase grid tied solar photovoltaic (PV) system with power quality compensation features is presented in this paper. This system is used to transfer power generated from a solar PV array to feed linear and nonlinear loads along with compensation for several power quality (PQ) issues

such as harmonics

redundant reactive power and load unbalancing. The generated DC power from the 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 the grid tied solar PV system. This study presents the use of an adaptive generalized maximum Versoria criterion (AGMVC) controller for VSC used in a solar PV energy conversion system. Efficient utilization of the solar PV array is accomplished by using the Perturb and Observe based maximum power point tracking (MPPT) algorithm. The experimental setup of the grid integrated PV system is implemented in the laboratory using an IGBT based VSC and DSP (dSPACE DS-1202). The performance of the 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 purposes of AGMVC with the above listed control techniques. The system performance is verified according to the IEEE-519 standard