Original scientific paper

https://doi.org/10.1080/00051144.2019.1694743

A novel hybrid many optimizing liaisons gravitational search algorithm approach for AGC of power systems

Mohanty Mohanty ; Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India
Rabindra Kumar Sahu ; Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India
Sidhartha Panda ; Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India

Abstract

A hybrid Many Optimizing Liaisons Gravitational Search Algorithm (hMOL-GSA)-based fuzzy PID controller is proposed in this work for Automatic Generation Control problem. MOL is a simplified version of particle swarm optimization which ignores the particle best position consequently simplifying the algorithm. The proposed method is employed to tune the fuzzy PID parameters. The outcomes are equated with some newly proposed methods like Artificial Bee Colony (ABC)-based PID for the identical test systems to validate the supremacy of GSA and proposed hMOL-GSA techniques. Further, the design task has been carried out in a three-area test system and the outcomes are equated with newly proposed Firefly Algorithm (FA) optimized PID and Teaching Learning-Based Optimization (TLBO) tuned PIDD controller for the identical system. Better system response has been observed with proposed hMOL-GSA method. Finally, sensitivity study is being carried out and robustness of the proposed method is established.

Keywords

MATLAB/SIMULINK; automatic generation ontrol; fuzzy logic controller; gravitational search algorithm; many optimizing liaisons

Hrčak ID:

239861

URI

https://hrcak.srce.hr/239861

Publication date:

3.12.2019.

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