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Optimization of PID controller parameters using PSO for two area load frequency control Brijesh Kumar Dubey; N. K. Singh; Sameer Bhambri
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.653 KB) | DOI: 10.11591/ijra.v8i4.pp256-268

Abstract

In this paper, an evolutionary computing approach for determining the optimal values for the proportional-integral-derivative (PID) controller parameters of load frequency control (LFC) of two area power system is presented. The proposed approach employs a particle swarm optimization technique to find optimum parameters. The state space model of two area power system and an Eigen value based objective function is considered. The effectiveness of the proposed approach is compared with integral control. Simulation results justify the proposed approach in terms of damping the oscillations, improved settling time, less over/under shoots.
Design of POD controller using linear quadratic regulator tecniques for SMIB power system stability enhancement installed with UPFC Brijesh Kumar Dubey; N. K. Singh
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.2 KB) | DOI: 10.11591/ijra.v8i3.pp164-173

Abstract

In the field of the power system stability, this paper presents the current research status and developments. This paper presents a systematic approach for designing Power Oscillation Damping Controller (POD) based Linear Quadratic Regulator Techniques for SMIB power system stability installed with UPFC to damp out low frequency oscillations in a power system. The impacts of control strategy on power system single machine infinite bus installed with UPFC, without UPFC and with UPFC and POD controller at different operating conditions are discussed. The accuracy of the developed models is verified through comparing the study results with those obtained from detailed MATLAB programming.