Open Access
Improvement of Automatic Generation Control Behavior of Two Interconnected Areas Using SMES and TCSC
Author(s) -
Yousfi Boutheina,
Delassi Abdelmoumene,
Salem Arif
Publication year - 2021
Publication title -
advances in modelling and analysis. b, signals, information, data, patterns
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.105
H-Index - 7
ISSN - 1240-4543
DOI - 10.18280/ama_b.641-406
Subject(s) - overshoot (microwave communication) , settling time , firefly algorithm , control theory (sociology) , thyristor , automatic generation control , cascade , pid controller , governor , superconducting magnetic energy storage , computer science , firefly protocol , servo , control engineering , engineering , voltage , electric power system , control (management) , step response , temperature control , algorithm , physics , telecommunications , electrical engineering , superconducting magnet , electromagnetic coil , artificial intelligence , aerospace engineering , particle swarm optimization , biology , zoology , power (physics) , quantum mechanics , chemical engineering
In this paper, an attempt has been made to enhance the dynamic behaviour of Automatic Generation Control (AGC) of two areas two units using both Thyristor Controlled Series Compensator (TCSC) placed in the tie-line and Superconducting Magnetic Energy Storage (SMES) units are considered in both areas. For more realistic study, the effects of Governor Dead Band (GDB) and Generation Rate Constraints (GRCs) are taken into account for both areas. However, to conduct the system to better dynamic responses, we have implemented a PI-PD cascade controller. After that, a well-known and powerful optimisation algorithm named Firefly Algorithm (FA) is employed by evaluating the Integral of the Squared Error (ISE). From the obtained results, the implemented methods prove its efficiency from different view of points such as: minimisation of Overshoot and Undershoot Peaks (PO), (PU) and Settling Time (ST).