The hike in the use of the high-power utilization, the want for the multilevel inverter (MLI) came into picture. The multilevel inverters are designed so as to obtain higher levels of voltage using very less numbers of resources. So, the design of a hybrid reduced switch topology for the inverter started. Further sources are modified in order to obtain a very large level of voltage with a smaller number of sources. Similar effort is made to designed hybrid inverter structures for 9-level and 11-level multi-level inverters (MLIs) with significantly reduced numbers of power electronics devices and direct current power supplies. Further the topology is controlled and connected to grid using Phase Locked Loop (PLL) to analyze the performance of the inverter with the single-phase grid. A current controller is build using Proportional-Resonant (PR) controller to achieve proper integration of the MLI with the grid. The reference waveform obtained from the controller is used to achieve the inverter gate pulse using Level Shift Pulse Width Modulation (LS-PWM) technology. The 11-level MLI is more efficiently integrated into the grid than the 9-level MLI.

Grid Integration and Performance Analysis of hybrid Multilevel Inverters

Direct Torque Control (DTC) is the most often utilized technique in Electric Vehicles because of its various advantages. Nonetheless, torque pulsations lessen the framework's efficacy because of the hysteresis regulators. This outcomes in factor frequency activity, whereas the limited frequency examining produces an overshoot of the hysteresis band. In this way, activity at low speeds, chiefly when resistances of motor fluctuate, influences the machine's way of behaving. In this paper, a switching plan for speed control of the induction motor driven EV is surveyed considering Adaptive Neural Fuzzy Inference System (ANFIS) to work on the presentation. The discoveries of the study address a decrease in flux as well as torque ripple. A relative investigation of the suggested strategy with the Space Vector Pulse Width Modulation(SVM)-DTC shows further developed execution.

Performance analysis of ANFIS based SVPWM-DTC for Electric Vehicle application

The multilevel inverters are of wide use in recent era. Conventional multilevel inverters (MLI's) used previously has greater numbers of switches which gives enormous switching losses. Requirement for bargain in losses and elevated efficiency, reduced switch topologies came into picture. The critical task of an inverter is to obtain pure sinusoidal output voltage. Obtaining such waveform can be carried out with the resource of the use of disposing of the lower order harmonics. As the stages of the inverter will grow the number of Harmonics eliminated moreover will grow. Selective Harmonic Elimination (SHE) technique is employed to estimate the switching angles. The topology of eleven level MLI is proposed to reduce the switches, switching losses, total harmonic distortion and converter cost. The THD is itself a non-linear problem and can be effectively handled by meta heuristic techniques such as PSO, DE and TLBO. In the comparative study of the meta heuristic techniques, TLBO outperforms from the other techniques.

Comparative Performance analysis of Multilevel Inverter through meta heuristics

The requirement of high power and maximum efficiency in case of the AC to DC power conversion, voltage source multilevel inverters (VSMLI) proved to be efficient. Neutral/diode clamped MLI, Capacitor type and cascaded Bridge Type are some of the MLI's used in both single as well as three phase scenarios. The output of the MLI is distorted i.e., it contains harmonics in the output response. The need to obtain a pure sinusoidal AC output leads to harmonic elimination techniques. ‘Pulse Width Modulation’ (PWM) procedure is widely used harmonic elimination technique. In this paper a three phase 9-level Cascaded H-bride MLI is considered with level shift PWM scheme to drop the Total Harmonic Distortion (THD) factor in the voltage response. Integral Square Error (ISE) of the voltage waveform is evaluated and is minimized using Proportional-Integral (PI) controller. The PI controller is tuned using two meta heuristic intelligent optimization techniques. ‘Teaching Learning Based Optimization’ (TLBO) and ‘Genetic Algorithm’ (GA) are compared on the basis of precise gain values and THD percentage obtained. The GA holds good in minimizing the harmonics to a greater extent.

Meta Heuristic approach for Minimization of ISE in three phase Cascaded H-Bridge MLI

The Multilevel Inverter (MLI) comes in large range of levels and the study of MLI took an acceleration in recent time. MLI has wide range of use in moderate voltage and large power applications. For utilization, the inverter must satisfy the voltage requirement as desired by the load, so controlling the response of the inverter is a matter of concern. In this paper, intelligent algorithm-based Proportional Integral (PI) controller is implemented for nourishing the output response of the inverter. The Regulation of Inverter output voltage is done by minimizing the “Integral Time Absolute Error” (ITAE). Here ITAE is considered as the objective to be minimized using stochastic optimization techniques. Optimization techniques like, “Particle Swarm Optimization” (PSO), “Genetic Algorithm” (GA) and “Artificial Bee Colony” (ABC) are implemented and compared. A seven level H-Bridge based Cascaded Multi-level Inverter (HBC MLI) is simulated using “Level Shifted Pulse Width Modulation” (LS PWM) technique. ABC optimization technique proved to be better than the other techniques in terms of better fitness.

Intelligent control based level shifted PWM Multilevel Inverter

In the recent era the carbon emission is increasing rapidly which leads to the strange change in the climate in our universe with the use of non-ecofriendly energies. To reduce the emission and pollution the clean renewable energy sources (RES) are now being employed worldwide. Confining the ability of the renewable energy sources to discover substitute for generation of energy by the technique which mitigate carbon emission as well as the pollution and provide a clean energy that yield better performance and maximum efficiency. As hydrogen fuel-cell technology is clean and ecofriendly energy source and also can meet the energy requirement. In this paper, the voltage regulation of the hydrogen fuel-cell is taken into consideration. The intention of the assignment is to control the output voltage by using integral time absolute error (ITAE) and execution of intelligent optimization technique that is genetic algorithm (GA) is employed to minimize the objective function to get an improved gain value for the controller used in the model.

Siddhanta Pani

Papers

Comparative Performance analysis of Multilevel Inverter through meta heuristics

Grid Integration and Performance Analysis of hybrid Multilevel Inverters

Meta Heuristic approach for Minimization of ISE in three phase Cascaded H-Bridge MLI

Intelligent control based level shifted PWM Multilevel Inverter

Optimal Control and Voltage Regulation of A Hydrogen Fuel-Cell