Rajesh Kumar Ahuja

Grid-connected inverters based on solar PV cells are becoming increasingly common. At times, the PV can be subjected to a certain environmental situation, such as varying irradiance or temperature. Present developments in gird-connected PV inverters do not have many reliable yields or reliability in this case. In this article, an improved control framework system is intended for two PV that are mismatched in various ways, resulting in a highly effective grid-connected solar inverter with THD under 1% for both voltage and current. The regulator employs a control scheme comprised of an ANFIS-based control system that works in tandem with the incremental conductance technique of MPPT. The outcomes are simulated and validated using MATLAB Simulink.

The proposed research proposes the performance analysis of conventional RCC (Resonant Current Controller) and Novel PRESH (PRES+RESH) controller Interfaced with three phase GTSPPS (Grid Tied Solar Photovoltaic Power System) and its simulation on MATLAB. Presently, for eliminating the harmonic from three phase SPPS, various filters and controllers have already been proposed but it either resulted in increase of computational load or make the system bulky. The presented paper will discuss the performance analysis of two controller along with its design procedure. The Novel PRESH controller is helpful in mitigating the THD of three phase SPPS near to 1% and thus satisfying the IEEE standard 519 and 1547. Further, Novel PRESH controller can be incorporated when grid suffers from abnormal condition.

In this paper water cycle algorithm-based fractional order PI controller (FOPI) is proposed for virtual flux-oriented control of a three-phase grid-connected PWM rectifier. FOPI controller makes the PWM rectifier control more robust due to the fractional behavior. Fractional-order controllers have an additional degree of freedom, so a wider range of parameters is available to provide better control and robustness in the plant. The optimization and design of the FOPI controller are done using the water cycle algorithm (WCA). WCA is an optimization method inspired by monitoring the water cycle operation and flow of water bodies like streams and rivers toward the sea. The performance of the FOPI controller is compared with the classical integer order PI controller. The parameters of PI and FOPI controllers are optimized and designed using the WCA technique, leading to WCA-PI and WCA-FOPI controllers. The system is tested using MATLAB/Simulink. The simulation results verify the better performance of WCA-FOPI in terms of settling time, rise time, peak overshoot, and Total Harmonic Distortion (THD) of grid current. A robustness measurement with line filter parametric variations and non-ideal supply voltage (unbalance and distorted supply voltage) is carried out. The WCA-FOPI demonstrates more robustness as compared to WCA-PI. Simulation findings validate the WCA-FOPI controller outcomes as compared to WCA-PI in terms of control effect and robustness.

Steady state analysis of single-phase self excited induction generator is almost always carried out using the concepts of symmetrical components and the rotating field theories. The machine is modeled through its positive and negative sequence circuits with appropriate parameters pertaining to forward and backward fields. The final expression obtained through these analyses is a complex nonlinear equation with magnetizing reactance and frequency as two unknown quantities. Once the equation is solved and the values of magnetizing reactance and frequency precisely evaluated, the analysis of the machine performance becomes straight forward. This paper presents the use of “fsolve” optimization tool of Matlab in solving this complex equation yielding magnetizing reactance and frequency which, finally helps in the complete steady state analysis of the single-phase self excited induction generator. The method is found to be elegant and user-friendly.