Load frequency control for two-area hybrid microgrids using model predictive control optimized by grey wolf-pattern search algorithm

Load–frequency control for an islanded microgrid is very important. If a disturbance is applied to an islanded microgrid, the frequency of the system starts to fluctuate and these fluctuations must be damped by the load–frequency control system. The load–frequency control system uses different contr...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 27; číslo 23; s. 18227 - 18243
Hlavní autoři:	Amiri, Farhad, Hatami, Alireza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023 Springer Nature B.V
Témata:	Alternative energy Application of Soft Computing Artificial Intelligence Computational Intelligence Control Control methods Control systems Controllers Damping Distributed generation Electric industries Energy resources Energy storage Engineering Frequency control Load Mathematical Logic and Foundations Mathematical models Mechatronics Optimization algorithms Pattern search Predictive control Proportional integral derivative Renewable resources Robotics Search algorithms Turbogenerators Wind turbines Two-area microgrid Model predictive control (MPC) Load frequency control (LFC) Hybrid Grey Wolf Optimizer–Pattern Search algorithm (HGWO–PS)
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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