The purpose of this study is to present a new methodology of selective harmonics elimination (SHE) technique suitable for single-phase photovoltaic (PV) tied pulse width modulated (PWM) inverter.
In the proposed SHE, switching angles for inverter control are determined offline through numerical techniques and stored in a microcontroller memory as a function of modulation index (md). The methodology uses the solution that leads to a lower change of switching angles from the previous modulation index (md) for storing in the processor memory for multiple solutions. This leads to a smaller number of sections when a piecewise mixed model is considered for storing the entire switching angle curve for the online inverter control. The proposed idea is simulated and experimentally validated on a laboratory prototype of PV (500 W) grid-tied PWM inverter. The control environment is then realized in NI c-RIO 9082.
This proposed technique is suitable for limiting voltage total harmonics distortion (THD) in single-phase PV tied grid connected voltage source inverter (VSI). Moreover, it is found that filter (L-C) size requirement is less.
The proposed SHE with piecewise mixed model technique effectively reduces voltage THD with less filter size (L-C) in a single-phase PV-tied system.
The authors appreciatively recognize Prof. (Dr) Debashis Chatterjee of Electrical Engineering dept, Jadavpur University, Kolkata, India for his valuable guidance in designing and implementing digital control.
Authors also appreciate Prof. (Dr) C.K.Panigrahi, director school of electrical engineering, KIIT University for his help to build microgrid set-up which can be extended to smart grid lab test bench for research facilities.
Santra, S. and Mohanty, S. (2020), "An improved selective harmonics elimination technique for PV assisted single phase grid-tied PWM inverter", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/COMPEL-04-2019-0133Download as .RIS
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