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

被引：1
作者：
Angalaeswari S. [1 ]
Jamuna K. [1 ]
机构：
[1] School of Electrical Engineering, Vellore Institute of Technology, Vanadlur-Kelambakkam Road, Chennai, Tamilnadu
来源：
International Journal of Innovative Computing and Applications | 2021年 / 12卷 / 01期
关键词：
HMG; Hybrid microgrid; ILC; Iterative learning controller; Power management; Sequential quadratic programming; SQP; Voltage stability;
D O I：
10.1504/IJICA.2021.113613
中图分类号：
学科分类号：
摘要：
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. Copyright © 2021 Inderscience Enterprises Ltd.
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页码：24 / 36
页数：12
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