Open AccessModified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm
Author(s) -
Amil Daraz,
Suheel Abdullah Malik,
İhsan Ul Haq,
Khan Bahadar Khan,
Ghulam Fareed Laghari,
Farhan Zafar
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0242428
Subject(s) - pid controller , control theory (sociology) , settling time , automatic generation control , overshoot (microwave communication) , approximation error , robustness (evolution) , controller (irrigation) , computer science , mean squared error , rise time , mathematics , power (physics) , electric power system , step response , algorithm , temperature control , control engineering , engineering , statistics , voltage , control (management) , physics , artificial intelligence , chemistry , biology , telecommunications , biochemistry , quantum mechanics , agronomy , electrical engineering , gene
In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FDO) algorithm is employed for the optimization of proposed controller with various performance criteria including Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE). The effectiveness of the proposed approach has been assessed on a two-area network with individual source including gas, hydro and reheat thermal unit and then collectively with all three sources. Further, to validate the efficacy of the proposed FDO based PID and I-PD controllers, comprehensive comparative performance is carried and compared with other controllers including Differential Evolution based PID (DE-PID) controller and Teaching Learning Based Optimization (TLBO) hybridized with Local Unimodal Sampling (LUS-PID) controller. The comparison of outcomes reveal that the proposed FDO based I-PD (FDO-I-PD) controller provides a significant improvement in respect of Overshoot (Osh), Settling time (Ts), and Undershoot (Ush). The robustness of an I-PD controller is also verified by varying parameter of the system and load variation.