[HTML][HTML] Data analytics in the electricity sector–A quantitative and qualitative literature review

F vom Scheidt, H Medinová, N Ludwig, B Richter… - Energy and AI, 2020 - Elsevier
The rapid transformation of the electricity sector increases both the opportunities and the
need for Data Analytics. In recent years, various new methods and fields of application have …

Data mining applications to fault diagnosis in power electronic systems: A systematic review

A Moradzadeh, B Mohammadi-Ivatloo… - … on Power Electronics, 2021 - ieeexplore.ieee.org
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …

[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 …

Fractional-order load-frequency control of interconnected power systems using chaotic multi-objective optimization

I Pan, S Das - Applied Soft Computing, 2015 - Elsevier
Fractional-order proportional-integral-derivative (FOPID) controllers are designed for load-
frequency control (LFC) of two interconnected power systems. Conflicting time-domain …

Interval type-2 fuzzy PID load frequency controller using Big Bang–Big Crunch optimization

E Yesil - Applied Soft Computing, 2014 - Elsevier
This paper proposes an optimization based design methodology of interval type-2 fuzzy PID
(IT2FPID) controllers for the load frequency control (LFC) problem. Hitherto, numerous fuzzy …

Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation

MA Khanesar, E Kayacan… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In this paper, the use of extended Kalman filter for the optimization of the parameters of type-
2 fuzzy logic systems is proposed. The type-2 fuzzy logic system considered in this study …

Load frequency control of a two-area power system with a stand-alone microgrid based on adaptive model predictive control

PA Gbadega, AK Saha - … of Emerging and Selected Topics in …, 2020 - ieeexplore.ieee.org
This article proposes an adaptive model predictive control (AMPC) technique for load
frequency control of a two-area interconnected power system with a stand-alone microgrid …

A novel adaptive feed-forward-PID controller of a SCARA parallel robot using pneumatic artificial muscle actuator based on neural network and modified differential …

NN Son, C Van Kien, HPH Anh - Robotics and Autonomous Systems, 2017 - Elsevier
This paper proposes a novel control system combining adaptively feed-forward neural
controller and PID controller to control the joint-angle position of the SCARA parallel robot …

Quasi-oppositional JAYA optimized 2-degree-of-freedom PID controller for load-frequency control of interconnected power systems

D Guha, PK Roy, S Banerjee - International Journal of Modelling …, 2022 - Taylor & Francis
An effort is given in this paper, for the first time, to discuss the load-frequency control (LFC)
problem of an interconnected power system by implementing a novel heuristic optimization …

Current state of neural networks applications in power system monitoring and control

LH Hassan, M Moghavvemi, HAF Almurib… - International Journal of …, 2013 - Elsevier
For over two decades Neural Network (NN) has been applied to power system monitoring
and control. Conventional controllers suffer from certain limitations which NN as an Artificial …