Title: Modified iterative learning controller for efficient power management of hybrid AC/DC microgrid

Authors: S. Angalaeswari; K. Jamuna

Addresses: School of Electrical Engineering, Vellore Institute of Technology, Vanadlur-Kelambakkam Road, Chennai-600127, Tamilnadu, India ' School of Electrical Engineering, Vellore Institute of Technology, Vanadlur-Kelambakkam Road, Chennai-600127, Tamilnadu, India

Abstract: In this paper, modified ILC is proposed for maintaining stable voltage, frequency and for efficient power management in a hybrid micro grid (HMG). The system is modelled with solar, battery, DC loads at DC bus, wind turbine, utility grid and AC loads at AC bus. An interlinking converter (IC) is connected between the AC and DC bus to facilitate bidirectional power flow. The control of voltage at AC/DC bus and management of power are obtained in the modelled hybrid micro grid with set point weighting iterative learning controller (SPW-ILC) by controlling the interlinking converter both in autonomous and grid connected mode of operation. To minimise the error signal to the controller, the classical optimisation method of sequential quadratic programming (SQP) has been employed to improve the performance of the controller. The simulation results show that the proposed controller have better performance than other controllers under variable source and load conditions.

Keywords: iterative learning controller; ILC; hybrid microgrid; HMG; power management; sequential quadratic programming; SQP; voltage stability.

DOI: 10.1504/IJICA.2021.113613

International Journal of Innovative Computing and Applications, 2021 Vol.12 No.1, pp.24 - 36

Received: 27 Aug 2019
Accepted: 26 Nov 2019
Published online: 15 Mar 2021 *

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