Load frequency control for mini-hydropower system: A new approach based on self-tuning fuzzy proportional-derivative scheme

2018 ◽  
Vol 30 ◽  
pp. 253-262 ◽  
Author(s):  
M. Reyasudin Basir Khan ◽  
Jagadeesh Pasupuleti ◽  
Razali Jidin
Keyword(s):  
Frequency Control ◽  
Load Frequency Control ◽  
New Approach ◽  
Load Frequency ◽  
System A ◽  
Hydropower System ◽  
Self Tuning

A self-tuning load frequency control strategy for microgrids: Human brain emotional learning

2016 ◽  
Vol 75 ◽  
pp. 311-319 ◽  
Author(s):  
Mohammad Reza Khalghani ◽  
Mohammad Hassan Khooban ◽  
Esmaeil Mahboubi-Moghaddam ◽  
Navid Vafamand ◽  
Mohammad Goodarzi
Keyword(s):  
Human Brain ◽  
Control Strategy ◽  
Frequency Control ◽  
Emotional Learning ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Self Tuning ◽  
Brain Emotional Learning

A New Approach to Reconfigurable Load Frequency Control of Power Systems in Emergency Conditions

2013 ◽  
Vol 46 (13) ◽  
pp. 526-531 ◽  
Author(s):  
A. Moradi Amani ◽  
N. Gaeini ◽  
A. Afshar ◽  
M.B. Menhaj
Keyword(s):  
Power Systems ◽  
Frequency Control ◽  
Load Frequency Control ◽  
New Approach ◽  
Load Frequency

Self-Tuning Load-Frequency Control of the Hungarian Power System

1981 ◽  
Vol 14 (2) ◽  
pp. 3095-3101
Author(s):  
I. Vajk ◽  
M. Vajta ◽  
L. Keviczky ◽  
R. Haber ◽  
J. Hetthéssy ◽  
...  
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Self Tuning

scholarly journals Robust Distributed Model Predictive Load Frequency Control of Interconnected Power System

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Xiangjie Liu ◽  
Huiyun Nong ◽  
Ke Xi ◽  
Xiuming Yao
Keyword(s):  
Power System ◽  
Large Scale ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Distributed Model ◽  
Linear Matrix ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Distributed Model Predictive Control ◽  
System A

Considering the load frequency control (LFC) of large-scale power system, a robust distributed model predictive control (RDMPC) is presented. The system uncertainty according to power system parameter variation alone with the generation rate constraints (GRC) is included in the synthesis procedure. The entire power system is composed of several control areas, and the problem is formulated as convex optimization problem with linear matrix inequalities (LMI) that can be solved efficiently. It minimizes an upper bound on a robust performance objective for each subsystem. Simulation results show good dynamic response and robustness in the presence of power system dynamic uncertainties.

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