Optimal designing of fuzzy-PID controller in the load-frequency control loop of hydro-thermal power system connected to wind farm by HVDC lines
MA Kamarposhti, H Shokouhandeh, M Alipur… - IEEE …, 2022 - ieeexplore.ieee.org
In this paper an optimized Fuzzy based controller is proposed for automatic generation
control of two area hydro-thermal power system connected to the wind farm. The parameters …
control of two area hydro-thermal power system connected to the wind farm. The parameters …
Deep Deterministic Policy Gradient Reinforcement Learning Based Adaptive PID Load Frequency Control of an AC Micro-Grid Apprentissage par renforcement du …
The proportional, derivative, and integral (PID) controllers are commonly used in load
frequency control (LFC) problems in micro-grid (MG) systems with renewable energy …
frequency control (LFC) problems in micro-grid (MG) systems with renewable energy …
Type‐2 fuzzy‐based adaptively predictive controlled variable frequency transformer coordinated to SMES for improved load frequency control
Traditionally, phase shifters powered by power electronics are used in conjunction with
energy storage devices to improve the load frequency control. Conventional phase shifters …
energy storage devices to improve the load frequency control. Conventional phase shifters …
Design of Fuzzy Delay Compensation Controller Based on Amplitude Compensation Method for Power System with Communication Delay
J Li, H Gao, Y Wang - International Journal of Fuzzy Systems, 2024 - Springer
In a networked power system, communication delay in the feedback signal during
transmission process can have a detrimental impact on the effectiveness of the power …
transmission process can have a detrimental impact on the effectiveness of the power …
[HTML][HTML] Power system frequency profile improvement using satin bowerbird optimized tilt fractional cascade controller with reduced data based cost function
The objectives of the automatic generation control (AGC) are attained via secondary control
mechanism with optimal controller gains. The best solutions of these gains are identified by …
mechanism with optimal controller gains. The best solutions of these gains are identified by …
Reinforcement Fuzzy Q-Learning Incorporated with Genetic Kinematics Analysis for Self-organizing Holonomic Motion Control of Six-Link Stewart Platforms
HC Huang, SSD Xu, YX Chen, CM Chen - International Journal of Fuzzy …, 2023 - Springer
This paper contributes to the development of reinforcement fuzzy Q-learning incorporated
with genetic kinematics analysis for self-organizing holonomic motion control of six-link …
with genetic kinematics analysis for self-organizing holonomic motion control of six-link …