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A Differential Evolution Tuned Nonlinear Backstepping Controller for Three-Phase Grid-Connected Photovoltaic System

conference contribution
posted on 2020-01-01, 00:00 authored by A Panwar, R Kumar, Apel MahmudApel Mahmud, A Saxena
This paper presents an alternative technique to improve the gain tuning of nonlinear backstepping controller applied to three-phase grid-connected photovoltaic (PV) system in order to control active and reactive power fed into the grid. Gain parameters of nonlinear backstepping controllers play a key role in the convergence of currents corresponding to active and reactive power in grid-connected PV systems. The use of Differential Evolution (DE) optimization technique is proposed in this work, to obtain the optimised gain parameters while ensuring the fast convergence of errors associated with currents and this is done by minimizing the fitness function. Meanwhile, the gains are also optimised using an effective DE variant, differential evolution with composite trial vector generation strategies and control parameters (CoDE). The control parameter selection plays a vital role in the efficient performance of DE algorithm. However, the best choice of control parameters for optimum performance varies from problem to problem. Simulation studies are carried out to validate the effectiveness of the proposed scheme in terms of time responses (e.g., rise time, settling time, peak time, etc.)



Electrical and Computer Engineering. Women in Engineering Conference (2020 : Bhubaneswar, India)


162 - 165




Bhubaneswar, India

Place of publication

Piscataway, N.J.

Start date


End date






Publication classification

E1 Full written paper - refereed

Title of proceedings

WIECON-ECE 2020 : Proceedings of 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering