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• W2560892777 abstract "Renewable energy is one of the most important sources used for the production of electrical energy due to its natural availability and lack of harmful effects on the environment. From these sources, wind energy is often located in remote areas where exposure to disturbance sometimes affects its functioning. This paper consists of two parts. In the first, we propose a new Modified Bacterial Foraging-Particle Swarm Optimisation (MBF-PSO). This is improved by new inertia Weight (w new ), using mixed parameters of the PSO and BF to find a new formula for w new . In the second part, we present the influence of different sorts of disturbance on the performance of a Doubly-Fed Induction Generator (DFIG) driven by the Wind Turbine (WT) with variable speeds and connected to the grid. Three optimisation strategies are investigated here for tuning the PID controller of DFIG. Finally, the results of the proposed strategies show that the MBF-PSO strategy is most effective in the stabilisation and improves the quality of the power." @default.
• W2560892777 created "2017-01-06" @default.
• W2560892777 creator A5017377911 @default.
• W2560892777 creator A5050800818 @default.
• W2560892777 creator A5051811819 @default.
• W2560892777 date "2016-10-01" @default.
• W2560892777 modified "2023-09-25" @default.
• W2560892777 title "A new MBF-PSO for improving performance of DFIG connected to grid under disturbance" @default.
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• W2560892777 doi "https://doi.org/10.1109/appeec.2016.7779536" @default.
• W2560892777 hasPublicationYear "2016" @default.
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