Title: Adaptive control algorithm to interface fuel cell and photovoltaic energy sources

Authors: Shikha Gupta; Rachana Garg; Alka Singh

Addresses: Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi-110042, India ' Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi-110042, India ' Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi-110042, India

Abstract: This paper presents the control algorithm for photovoltaic (PV) and fuel cell (FC) interfaced voltage source converter (VSC). The control algorithm ensures uninterrupted power supply and reliable operation under variable power generation and load conditions. Hyperbolic tangent based least mean square (H-LMS) system is proposed to generate proper gating signal of the inverter. The basic function of generation sources is to meet the active power demand. Furthermore, the proposed system architecture has added features to balance the load, suppress the harmonics and compensate reactive power. These functionalities make sure that the supply current is sinusoidal even under nonlinear and unbalanced load conditions. The proposed algorithm provides fast computation and convergence rate. The comparison with conventional LMS is presented in terms of convergence rate and supply current harmonics under MATLAB/Simulink platform. The control algorithm is also examined for stability through Lyapunov stability criterion, thus, the error function of the algorithm converged to zero asymptotically.

Keywords: solid oxide fuel cell; SOFC; photovoltaic; renewable energy sources; voltage source converter; VSC; least mean square method; Lyapunov stability.

DOI: 10.1504/IJPELEC.2022.121406

International Journal of Power Electronics, 2022 Vol.15 No.2, pp.141 - 157

Received: 02 Dec 2018
Accepted: 23 Sep 2019
Published online: 11 Mar 2022 *

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