PID Power System Stabilizer Research Articles

Study and Application of the Advanced Frequency Control Techniques H∞ in the Voltage Automatic Regulator of Powerful Synchronous Generators (Application under Gui/Matlab)

This article presents a study of of the advanced frequency control techniques based on loop-shaping H∞ optimization method applied on automatic excitation control of powerful synchronous generators (AVR and PSS), to improve transient stability and its robustness of a single machine- infinite bus system (SMIB).The computer simulation results (static and dynamic stability), with test of robustness against machine parameters uncertainty (electric and mechanic), have proved that good dynamic performances, showing a stable system responses almost insensitive to large parameters variations, and more robustness using the robust H-infinity controller, in comparison with the classical Russian PID power system stabilizer . Our present study was performed using a GUI realized under MATLAB in our work.

Seeker optimized SVC-PID controller for reactive power control of an isolated hybrid power system

The modeling and controlling approach of a stand-alone wind–diesel hybrid model has been focused in this paper while adopting coordinated tuning of static VAR compensator (SVC)-PID controller and power system stabilizer (PSS) for controlling the reactive power. Seeker optimization algorithm (SOA) has been used for tuning the parameters of the SVC-PID and PSS. To find out the optimal parameters of the studied model, the SOA has been implemented successfully. The synchronous generator (SG) is equipped with IEEE type-I excitation system along with dual input PSS like IEEE-PSS3B in the studied hybrid model. On-line performance analysis of the studied hybrid model is achieved by using Takagi–Sugeno fuzzy logic (TSFL) based controller. In real-time, the TSFL helps to track the accuracy of reactive power compensation for any sort of input disturbance. It is found that the proposed SOA-TSFL is more effective to get the nominal optimal parameters of SVC-PID and PSS for on-line optimal reactive power control and terminal voltage response of the investigated power system model. It has also been investigated that the performance of the proposed controller is effectively influenced by the transmission delay signal.

Optimal design and tuning of novel fractional order PID power system stabilizer using a new metaheuristic Bat algorithm

Abstract This paper proposes a novel robust power system stabilizer (PSS), based on hybridization of fractional order PID controller (PIλDμ) and PSS for optimal stabilizer (FOPID-PSS) for the first time, using a new metaheuristic optimization Bat algorithm (BA) inspired by the echolocation behavior to improve power system stability. The problem of FOPID-PSS design is transformed as an optimization problem based on performance indices (PI), including Integral Absolute Error (IAE), Integral Squared Error (ISE), Integral of the Time-Weighted Absolute Error (ITAE) and Integral of Time multiplied by the Squared Error (ITSE), where, BA is employed to obtain the optimal stabilizer parameters. In order to examine the robustness of FOPID-PSS, it has been tested on a Single Machine Infinite Bus (SMIB) power system under different disturbances and operating conditions. The performance of the system with FOPID-PSS controller is compared with a PID-PSS and PSS. Further, the simulation results obtained with the proposed BA based FOPID-PSS are compared with those obtained with FireFly algorithm (FFA) based FOPID-PSS. Simulation results show the effectiveness of BA for FOPID-PSS design, and superior robust performance for enhancement power system stability compared to other with different cases.

Particle Swarm Optimization Based PID Power System Stabilizer for a Synchronous Machine

Particle Swarm Optimization Based PID Power System Stabilizer for a Synchronous Machine

Robust PID power system stabilizer design based on pole placement and nonlinear programming methods

Power system stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the low frequency oscillations (LFO) of the electric power system. The PSS is usually designed based on classical control approaches but this conventional PSS (CPSS) has some problems. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper a new robust hybrid method based on the combination of pole placement and nonlinear programming methods is proposed in order to design a robust power system stabilizer. The classical robust methods usually lead to a high order controller which is expensive, difficult to implement and somehow impossible. As a solution, in this paper a PID type PSS is considered for damping electric power system oscillations. The parameters of this PID type PSS (PID-PSS) are tuned based on pole placement and nonlinear programming methods. Therefore, not only the obtained PID-PSS is low order and easy to implement but also it has robust characteristics like robust controllers. The proposed PID-PSS is evaluated against the conventional and robust power system stabilizers in a single machine infinite bus power system considering system parametric uncertainties. The simulation results clearly indicate the effectiveness and validity of the proposed method. Keywords: Electric power system stabilizer, pole placement, nonlinear programming, robust control, PID controller.

Optimal PID power system stabilizer tuning based on particle swarm optimization

Power system stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the low frequency oscillations (LFO) of the electric power system. The PSS is usually designed based on classical control approaches but this conventional PSS (CPSS) has some problems. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper a PID type PSS is considered for damping electric power system oscillations. The parameters of this PID type PSS are tuned based on particle swarm optimization method. The proposed PSS (PSO-PSS) is evaluated against the conventional power system stabilizer (CPSS) at a single machine infinite bus power system considering system parametric uncertainties. The simulation results clearly indicate the effectiveness and validity of the proposed method. Keywords: Electric power system stabilizer, low frequency oscillations, particle swarm optimization

Optimal PID Power System Stabilizer Tuning Based on Particle Swarm Optimization

Power system stabilizers (PSS) are used to generate supplementary damping control signals for the excitation system in order to damp the low frequency oscillations (LFO) of the electric power system. The PSS is usually designed based on classical control approaches but this conventional PSS (CPSS) has some problems. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper a PID type PSS is considered for damping electric power system oscillations. The parameters of this PID type PSS are tuned based on particle swarm optimization method. The proposed PSS (PSO-PSS) is evaluated against the conventional power system stabilizer (CPSS) at a single machine infinite bus power system considering system parametric uncertainties. The simulation results clearly indicate the effectiveness and validity of the proposed method.

Hardware implementation of a fuzzy logic stabilizer on a laboratory scale power system

A power system stabilizer using the fuzzy logic is designed and implemented in this paper. Simulation studies are performed to evaluate the performance of the fuzzy logic power system stabilizer (FLPSS) and PID power system stabilizer (PIDPSS). Genetic algorithms have been used to optimize the parameters of the fuzzy and PID stabilizers. To validate the design, different types of disturbances are applied to the system and the results of both stabilizers are compared. The simulation studies show that the fuzzy stabilizer provides a relatively better performance comparable to that of the PIDPSS over a wide range of operating conditions. The FLPSS and PIDPSS have also been experimentally implemented using MATLAB/Real-Time Windows Target toolbox software on a laboratory set up to model a simple power system of 1 KVA machine connected to an infinite bus through a transmission line. Experimental tests and results revealed the effectiveness of FLPSS, especially in vulnerable operating points.

A Fuzzy Logic?Based PID for Power System Stabilization

Power system stabilization has been, and still is, a major interest of researchers in the area of power systems. Recently, modern control techniques based on artificial intelligence, like artificial neural networks and fuzzy logic, presented elegant and neat solutions for power system stabilization; however, some of these techniques face resistance of the control engineers who are not yet familiar with artificial intelligence. This paper introduces a hybrid fuzzy PID power system stabilizer (FPID) that retains the nature of the conventional PID controller and enhances its performance using fuzzy logic. The fuzzy logic provides on-line automatic adjustment of the PID parameters. Tuning of initial FPID parameters is similar to that of a conventional PID controller. The proposed controller proves, through extensive simulation tests for different machine operating points and under different disturbances, that it outperforms techniques based on either conventional PID or conventional fuzzy logic controller (FLC).