State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based …
Load frequency management (LFM) has become more significant in modern power systems
due to variation demand and generation profiles. Further, integration of renewable energy …
due to variation demand and generation profiles. Further, integration of renewable energy …
Genetic algorithm approach to design of multi-layer perceptron for combined cycle power plant electrical power output estimation
In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …
combined cycle power plant power output estimation is presented. Dataset used in this …
Computational intelligence-based optimization methods for power quality and dynamic response enhancement of ac microgrids
The penetration of distributed generators (DGs) in the existing power system has brought
some real challenges regarding the power quality and dynamic response of the power …
some real challenges regarding the power quality and dynamic response of the power …
Master‐slave design for frequency regulation in hybrid power system under complex environment
The advancement in technology has proceeded exceptionally that the stability of the power
system becomes a major challenge. The mismatch of generation and demand creates …
system becomes a major challenge. The mismatch of generation and demand creates …
Development and validation of artificial neural network-based tools for forecasting of power system inertia with wind farms penetration
ESNR Paidi, H Marzooghi, J Yu… - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Increased penetration of power electronics interfaced renewable energy sources-based
generation, for instance, wind farms, that displaces much of the conventional synchronous …
generation, for instance, wind farms, that displaces much of the conventional synchronous …
A fractional order fuzzy-proportional-integral-derivative based pitch angle controller for a direct-drive wind energy system
A wind energy conversion system (WECS) is a highly nonlinear and coupled system in
which the output power depends upon highly uncertain wind speed. Therefore, the quality of …
which the output power depends upon highly uncertain wind speed. Therefore, the quality of …
Exploring reward strategies for wind turbine pitch control by reinforcement learning
JE Sierra-García, M Santos - Applied Sciences, 2020 - mdpi.com
Featured Application Wind Turbine Pitch Control. Abstract In this work, a pitch controller of a
wind turbine (WT) inspired by reinforcement learning (RL) is designed and implemented …
wind turbine (WT) inspired by reinforcement learning (RL) is designed and implemented …
Load frequency regulation of interconnected muli-source multi-area power system with penetration of electric vehicles aggregator model
A Jameel, MM Gulzar - Electrical Engineering, 2023 - Springer
The recent widespread installation of renewable energy sources in place of fossil fuel, along
with the substitution of electric vehicles, has given rise to several integration difficulties. Due …
with the substitution of electric vehicles, has given rise to several integration difficulties. Due …
Optimization of X-axis servo drive performance using PSO fuzzy control technique for double-axis dicing saw
W Cao, P Zhang, Q Mi, Y Sun, J Shi, W Liang - Scientific Reports, 2023 - nature.com
The dicing saw is a critical piece of equipment in IC processing, primarily used to cut wafers.
Due to the high spindle speed, even small errors in the cutting process can result in wafer …
Due to the high spindle speed, even small errors in the cutting process can result in wafer …
Self-evolving fuzzy controller composed of univariate fuzzy control rules
The paper proposes a methodology to online self-evolve direct fuzzy logic controllers
(FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self …
(FLCs), to deal with unknown and time-varying dynamics. The proposed methodology self …