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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Soft computing (Berlin, Germany) Ročník 24; číslo 22; s. 16895 - 16915
Hlavní autoři:	Hosseini, Seyed Mohammad Hassan, Rezvani, Alireza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!