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- W2898026905 abstract "in this paper, a hybrid residential microgrid system was considered for future city houses. It is composed of both AC and DC networks tied together through an interlinking bidirectional AC/DC converter (IC). The DC network contains the DC loads and the distributed energy sources (DES) such as Photovoltaic (PV) and battery storage. The AC network includes the AC loads and a synchronous AC generator as the only AC source in islanding operation in this system. The islanding operation at this level of the grid, prone the network to be more vulnerable to stability issues. Therefore, it is essential to obtain the best control parameters for the IC controller, which ensure sufficient power exchange and stable operation between the DC/AC networks. Consequently, a Genetic Algorithm (GA) has been used to tune the vector decoupling control parameters of the IC controller to find the best parameters combination to improve the hybrid grid performance. The proposed scheme maintains the system stability during various condition such as variable or pulsed demand and uncertain renewable power sharing. The tuned vector decoupling controlled sinusoidal pulse width modulation (SPWM) technique has been used to not only allow the IC to maintain stable voltage and frequency but also tracks the active and reactive power set points." @default.
- W2898026905 created "2018-10-26" @default.
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- W2898026905 date "2018-04-01" @default.
- W2898026905 modified "2023-09-22" @default.
- W2898026905 title "Vector Decoupling Control Design Based on Genetic Algorithm for a Residential Microgrid System for Future City Houses at Islanding Operation" @default.
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- W2898026905 doi "https://doi.org/10.1109/secon.2018.8479013" @default.
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