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Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm

Jumani, Touqeer Ahmed and Mustafa, Mohd. Wazir and Md. Rasid, Madihah and Mirjat, Nayyar Hussain and Baloch, Mazhar Hussain and Salisu, Sani (2019) Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm. Electronics (Switzerland), 8 (1). pp. 1-21. ISSN 2079-9292


Official URL: http://dx.doi.org/10.3390/electronics8010111


Despite the vast benefits of integrating renewable energy sources (RES) with the utility grid, they pose stability and power quality problems when interconnected with the existing power system. This is due to the production of high voltages and current overshoots/undershoots during their injection or disconnection into/from the power system. In addition, the high harmonic distortion in the output voltage and current waveforms may also be observed due to the excessive inverter switching frequencies used for controlling distributed generator’s (DG) power output. Hence, the development of a robust and intelligent controller for the grid-connected microgrid (MG) is the need of the hour. As such, this paper aims to develop a robust and intelligent optimal power flow controller using a grasshopper optimization algorithm (GOA) to optimize the dynamic response and power quality of the grid-connected MG while sharing the desired amount of power with the grid. To validate the effectiveness of proposed GOA-based controller, its performance in achieving the desired power sharing ratio with optimal dynamic response and power quality is compared with that of its precedent particle swarm optimization (PSO)-based controller under MG injection and abrupt load change conditions. The proposed controller provides tremendous system’s dynamic response with minimum current harmonic distortion even at higher DG penetration levels.

Item Type:Article
Uncontrolled Keywords:grid-connected mode, microgrid, optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:88729
Deposited By: Yanti Mohd Shah
Deposited On:29 Dec 2020 12:17
Last Modified:29 Dec 2020 12:17

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