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<span>This paper presents the combination of two different methods to perform the waveform analysis for PWM-operated inverter. The two techniques are Newton-Raphson method and Curve-Fitting as a PWM concept to operate PWM-based inverter, the proper solutions of switching angles can valuate the initial values by using the Newton-Raphson method with the wide-step calculation of modulation indices. The solutions are then compared using a curve in order to study the behavior. Then, the Curve-Fitting method is used to estimate the missing solutions between any points of wide-step calculation. This combination method can estimate the probable solutions that cannot be solved by Newton-Raphson method in a wide-ranging of the modulation index and reduce the calculation time. PWM-based inverter, which is obtained the switching angles by Newton-Raphson method and the combination of two different methods, is verified by the simulation results showing faster performance with improved Total Harmonic Distortion (THD) than both methods alone when compared the same values of switching angles.</span>

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In the TNB-based conventional system, the power demand varies randomly depending upon seasons and months of the year including festive occasions, reaching peak in some hours of days of some months. Sometime a heavy demand (in MW) falls at a time of a day. Such heavy energy demands need to be transported from far-away power stations over long lengthy transmissions causing energy loss not less than 20% in most of the cases. This paper presents load demand variation scenario, identifying peaks, and finally suggesting a strategy for meeting the peak demand from Renewable Energy Sources (RES) of solar and wind. An integrated RES-based microgrid