[图书][B] Intelligent automatic generation control

H Bevrani, T Hiyama - 2011 - api.taylorfrancis.com
Automatic generation control (AGC) is one of the important control problems in
interconnected power system design and operation, and is becoming more significant today …

Load–frequency control: a GA-based multi-agent reinforcement learning

F Daneshfar, H Bevrani - IET generation, transmission & distribution, 2010 - IET
The load–frequency control (LFC) problem has been one of the major subjects in a power
system. In practice, LFC systems use proportional–integral (PI) controllers. However since …

[Retracted] Multi‐Agent Systems in Control Engineering: A Survey

F Daneshfar, H Bevrani - Journal of Control Science and …, 2009 - Wiley Online Library
This paper presents a survey on multi‐agent system (MAS) capabilities in control
engineering applications. It describes essential concepts of multi‐agent systems that are …

Intelligent power system frequency regulations concerning the integration of wind power units

H Bevrani, F Daneshfar, RP Daneshmand - Wind power systems …, 2010 - Springer
As the use of wind power turbines increases worldwide, there is a rising interest on their
impacts on power system operation and control. Frequency regulation in interconnected …

Deep multi‐agent Reinforcement Learning for cost‐efficient distributed load frequency control

S Rozada, D Apostolopoulou… - IET Energy Systems …, 2021 - Wiley Online Library
The rise of microgrid‐based architectures is modifying significantly the energy control
landscape in distribution systems, making distributed control mechanisms necessary to …

Reinforcement learning tuned decentralized synergetic control of power systems

T Ademoye, A Feliachi - Electric Power Systems Research, 2012 - Elsevier
In this paper, decentralized synergetic controllers with varying parameters are developed to
dampen oscillations in electric power systems via the excitation systems of the generators …

Reinforcement learning based backstepping control of power system oscillations

A Karimi, S Eftekharnejad, A Feliachi - Electric power systems research, 2009 - Elsevier
This paper proposes a reinforcement learning based backstepping control technique for
damping oscillations in electric power systems using the generators excitation systems …

Reinforcement learning approach for controlling power system stabilizers

R Hadidi, B Jeyasurya - Canadian Journal of Electrical and …, 2009 - ieeexplore.ieee.org
In this paper, a framework for applying reinforcement learning (RL) to the design and control
of power system stabilizers (PSSs) is proposed. A near-optimal coordinated design for …

A reinforcement learning based load frequency control for power systems considering nonlinearities and other control interactions

CM Bula Oyuela - 2024 - repositorio.unal.edu.co
Considering the advances of civilizations and the limited existence of resources, concerns
about the sustainability of that progress are increasing. There is a rising need for affordable …

Reinforcement learning based multi-agent LFC design concerning the integration of wind farms

H Bevrani, F Daneshfar… - 2010 IEEE …, 2010 - ieeexplore.ieee.org
Frequency regulation in interconnected networks is one of the main challenges posed by
wind turbines in modern power systems. The wind power fluctuation negatively contributes …