Adaptive virtual-inertia control and chicken swarm optimizer for frequency stability in power-grids penetrated by renewable energy sources

In this article, a control scheme based on chicken swarm optimizer (CSO) in cooperation with adaptive virtual-inertia control (AVIC) is investigated. The proposed control scheme aims at improving the frequency stability of an interconnected power system which is penetrated by renewable energy source...

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Veröffentlicht in:	Neural computing & applications 2021-04, Vol.33 (7), p.2905-2918
Hauptverfasser:	Othman, Ahmed M., El-Fergany, Attia A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Alternative energy sources Artificial Intelligence Chickens Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Control methods Control stability Controllers Data Mining and Knowledge Discovery Dynamic response Energy resources Evolutionary algorithms Evolutionary computation Frequency stability Image Processing and Computer Vision Inertia Original Article Probability and Statistics in Computer Science Proportional integral derivative Random loads Renewable energy sources Renewable resources Specifications Tidal energy Tidal power
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