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In this paper, artificial intelligent approaches like Bacteria Foraging Optimization (BFO) and Bat Algorithm (BA) have been used for optimizing gains of proportional-integral-derivative (PID) controller that is being incorporated with Static Var Compensator (SVC) in a single machine infinite bus (SMIB) system. The proposed techniques optimize the parameters of PID controller to ensure improvements in system stability. The performance and robustness of SVC controller is tested under different controllers like conventional PID, BA-PID and BFO-PID under varying operating conditions. It is observed graphically as well as quantitatively that BA-PID controller outperforms over BFO-PID controller under different operating conditions.

In case of an interconnected power system; the real transfer of power from one area to another might take inadvertent routes depending on impedances of transmission lines connecting the regions. TCSC is a series compensating device, which improves the transfer of power level between sending end to receiving end and monitors the system. Tuning of the optimal value of TCSC parameter has been done for better stability. Different control techniques and designs have been proposed in an optimization problem to tune the TCSC. Detailed study of remote input signal corresponding to speed deviation is employed by using Firefly algorithm and Differential evolution (DE) optimization. This study describes the performance of TCSC controller with proper selection of the objective function for getting optimum value of controller parameter. Simulation results of the proposed model shows that TCSC shows outstanding performance in damping out power system oscillation under different loading and perturbation.

This paper presents Particle Swarm Optimization (PSO) and BAT Algorithm (BA) optimized robust Two-Degree-of-Freedom Fractional Order PID (2-DOF-FOPID) based Static Synchronous Compensator (STATCOM) controller for study of power system stability in a single machine-infinite-bus (SMIB) system. The design of the 2DOF-FOPID based STATCOM controller was transformed into an optimization problem based on performance indices like Integral Squared Error (ISE). The proposed 2DOF-FOPID controller gains are optimized by swarm intelligence based algorithms like PSO and BA for improvement in power system stability. The robustness of the controller was verified under different loading operating conditions in a SMIB system. Further, a graphical and analytical comparison has been presented using the conventional PID, FOPID, 2-DOF-PID and 2-DOF-FOPID controllers. Investigations clearly signify that BAT algorithm optimized 2-DOF-FOPID controller outperforms other ones in terms of Integral Squared Error (ISE), peak overshoot and settling time under different operating scenarios.

This article discusses the design and analysis of two area interconnected hybrid power system with different controllers in LabVIEW environment. In this model time delay, Generation rate constraints (GRC) and reheat turbine are included to add non-linearity to the system dynamics. In this case CSP (Concentrating Solar Plant) has been added to the system and the system is simulated with and without CSP and the results are found out with three different controllers such as I/PI/PID controller. The inclusion of Generation rate Constraint (GRC) adds non linearity which becomes a challenging task for the system controller. The difficulty is overcome with the addition of controller with step and random load variation. Finally sensitivity analysis is carried out with varying parameter and different loading conditions. During observation, the system response improves using PID controller.

In this article, a fuzzy adaptive proportional integral derivative based power system stabilizer (FAPID-PSS) was presented in order to damp interarea oscillations in a single machine infinite bus (SMIB system). Optimal tuning of gains of FAPID-PSS controller is considered as optimization problem. Change in speed is considered as the input and correcting voltage signal is considered as output of the proposed controller. A hybrid firefly-particle swarm optimization (FF-PSO) technique is implemented in order to improve power system stability. The problem of FAPID-PSS controller design is transformed into an optimization problem based on integral squared error. Further FF-PSO based optimization technique has been implemented for tuning of optimal gains of the proposed FAPID-PSS based controller. In order to test the robustness and performance of the proposed controller, it has been tested under various disturbances and operating conditions. Further, a comparison has been made between PSO optimized FAPID controller and FA-PSO optimized FAPID controller in a SMIB system. Effectiveness of the proposed controller was analyzed graphically as well as analytically that the proposed FFPSO tuned FAPID-PSS controller performs better than conventional controllers.

This paper introduces the study of Load Frequency Control (LFC) in multi area power system network with Tilt-Integral with Derivative Filter (TIDF) controller. The main aim of LFC is to reduce the steady state error to zero in each area. In this proposed system three equal area interconnected power system is simulated and analyzed with three different controllers such as: PI, PID and TIDF controller. A maiden attempt has been done using TIDF controller in order to improve the system response and oscillation. The result shows the performance of AGC using reheat-turbine and Generation rate Constraints (GRC). The LFC model is designed using MATLAB/SIMULINK environment.