Sambugari Anil Kumar
Jawaharlal Nehru Technological University

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Load frequency control of thermal system under deregulated environment using slime mould algorithm Sambugari Anil Kumar; M. Siva Sathya Narayana; K. Jithendra Gowd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 4: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i4.pp2221-2229

Abstract

This paper emphasizes the significance of proportional-integral-derivative (PID) controller parameters using a slime mould algorithm (SMA) to reduce load frequency control (LFC) issues in a thermal system in an open market scenario. The SMA is used to solve the parameterization of the PID controller, which was formulated as an optimization problem. The performance of the PID controller parameters improves the dynamic characteristics of the system as frequency in each area, and also deviations in tie line power after sudden load violation. In order to study the efficiency of the proposed method, the system was tested with different power transactions for a small load disturbance and the comparative results were presented. The optimal value of the controller parameters derived from SMA based PID controller is estimated using a finite nonlinear optimization using a performance index based method.
Load frequency control of multi area system under deregulated environment using artificial gorilla troops optimization Sambugari Anil Kumar; M. Siva Sathya Narayana Varma; K. Jithendra Gowd
Bulletin of Electrical Engineering and Informatics Vol 11, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i6.4188

Abstract

The artificial gorilla troops method is utilized in the tilt integral derivative (TID) controller that is discussed in this paper in order to adorn the load frequency control (LFC) in the restructured thermal-hydal system. The controller is implemented in simulink. In this study, a mathematical definition of the social life of gorillas and innovative methods for exploring and exploiting gorilla habitats are presented. By applying step load perturbations and using integral square error as the evaluation method, the dynamic properties of the system can be determined. It is clear that the newly developed method of optimizing artificial gorilla troops performs better than the grey-wolf optimization technique (GTO). In this paper, the TID controller and the proportional integral derivative (PID) controller are contrasted with regard to a variety of optimization strategies inorder to compare different power transcations.