Modeling and simulation to optimize direct power control of DFIG in variable-speed pumped-storage power plant using teaching–learning-based optimization technique

The issues related to the optimal control of large-scale storage systems in electric power systems such as pumped storage (PS) plant have turned into vital challenges in the way of integrating renewable energy sources into power systems to provide reliable and economical electric energy. In this reg...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 22; S. 16895 - 16915
Hauptverfasser:	Hosseini, Seyed Mohammad Hassan, Rezvani, Alireza
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Control Controllers Electric power systems Engineering Harmonics Hydraulics Induction generators Learning Mathematical Logic and Foundations Mechatronics Methodologies and Application Methods Optimal control Optimization Optimization techniques Power control Power plants Pumped storage Reactive power Renewable energy sources Ripples Robotics Simulation Space vector modulation Stators Storage systems Systems stability Imperialist competitive algorithm Teaching–learning-based optimization Pumped-storage power plant Doubly fed induction generator Particle swarm optimization algorithm
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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