TY - CHAP
T1 - Adaptive Load Frequency Control in Power Systems Using Optimization Techniques
AU - Mohamed, Tarek Hassan
AU - Abubakr , Hussein
AU - Hussein, Mahmoud M.
AU - Shabib, Gaber
PY - 2021/2/17
Y1 - 2021/2/17
N2 - At present, simple and classical tuned controllers are widely used in the power system load frequency control (LFC) application. Existing LFC system parameters are usually tuned based on experiences, classical methods, and trial and error approaches, and they are incapable of providing good dynamic performance over a wide range of operating conditions and various load scenarios. Therefore, the novel modeling and control approaches are strongly required, to obtain a new trade-off between efficiency and robustness. Thus, the proposed techniques in this chapter are referred to be an adaptive control technique based on new optimization methods such as Jaya, Practical Swarm Optimization Algorithm, etc., which are used to make an on-line tuning of the LFC parameters in order to face the previous challenges in LFC. The system under study is a small microgrid with a renewable energy source and variable demand load. Digital simulation results are discussed.
AB - At present, simple and classical tuned controllers are widely used in the power system load frequency control (LFC) application. Existing LFC system parameters are usually tuned based on experiences, classical methods, and trial and error approaches, and they are incapable of providing good dynamic performance over a wide range of operating conditions and various load scenarios. Therefore, the novel modeling and control approaches are strongly required, to obtain a new trade-off between efficiency and robustness. Thus, the proposed techniques in this chapter are referred to be an adaptive control technique based on new optimization methods such as Jaya, Practical Swarm Optimization Algorithm, etc., which are used to make an on-line tuning of the LFC parameters in order to face the previous challenges in LFC. The system under study is a small microgrid with a renewable energy source and variable demand load. Digital simulation results are discussed.
KW - Load Frequency Control (LFC)
KW - Optimization Algorithm
KW - Microgrid
KW - Adaptive Control
KW - Power System
U2 - 10.5772/intechopen.93398
DO - 10.5772/intechopen.93398
M3 - Book chapter
SP - 201
EP - 215
BT - AI and Learning Systems: Industrial Applications and Future Directions
PB - Norderstedt Books on Demand
ER -