Design of Quasi-Oppositional-Based CSA Optimized Cascade Pi-Fractional Order PID Controller for Interconnected Power System

Abstract

In this work, an adequate approach is depicted to endorse the superiority of cascade PI-fractional order PID (PI-FOPID) controller over PID and FOPID controllers and also to validate the quasi-oppositional-based crow search algorithm (QOCSA) to elect the peerless gains of the controllers over CSA algorithm. PI-FOPID controller is implemented in an interconnected reheat-thermal power system to amend system performances. The system is designed with nonlinearity such as generation rate constraint (GRC) and ITAE as fitness function. The fundamental intention of this system is to diminish the divergence of frequency and power. For this purpose, a hybrid QOCSA and CSA algorithms are implemented to determine the significant parameters of controllers by which the divergence reducing competence of controller can be improved. This analysis to substantiate the proposed PI-FOPID controller and QOCSA algorithm is accomplished with a step load of 0.01 p.u. injected in area-1. Finally, QOCSA is substantiated over CSA algorithm, and PI-FOPID controller is confirmed as an excel controller over FOPID and PID controllers.

Appendix 1: Power System Parameters

K_p = 120 Hz/p.u. MW, T_P = 20 s, B = 0.4249; R = 2.4 Hz/p.u. MW; T_g = 0.08 s; T_t = 0.3 s;