Power System Stabilizer Tuning Algorithm in a Multimachine System Based on S-Domain and Time Domain System Performance Measures

Abstract

One of the main characteristics of power systems is keeping voltages within given limits, done by implementing fast automatic voltage regulators (AVR), which can raise generator voltage (i.e., excitation voltage) in a short time to ceiling voltage limits while simultaneously affecting the damping component of the synchronous generator electromagnetic torque. The efficient way to increase damping in the power system is to implement a power system stabilizer (PSS) in the excitation circuit of the synchronous generator. This paper proposes an enhanced algorithm for PSS tuning in the multimachine system. The algorithm is based on the analysis of system participation factors and the pole placement method while respecting the time domain behavior of the system after being subdued with a small disturbance. The observed time-domain outputs, namely active power, speed, and rotor angle of the synchronous generator, have been classified and validated with proposed weight functions based on the minimal square deviation between the initial values in a steady-state and all sampled values during the transitional process. The system weight function proposed in this algorithm comprises s-domain and time-domain indices and represents a novel approach for PSS tuning. The proposed algorithm performance is validated on IEEE 14-bus system with a detailed presentation of the results in a graphical and table form.

Performance Improvement of Sulselrabar System Using Single-Band Power System Stabilizer Based on Mayfly Algorithm Under Different Loading Condition

“…In the research study [2,3], PSS1A is used to improve a two-area, four-engine system's transient stability. Additionally, the IEEE 14-Bus system's stability is increased by using PSS1A and achieving the best parameter optimization [4]. In the 9 bus system connected to the wind turbine, the application of PSS1A has a significant impact on system stability through increasing the system settling time [5].…”

“…In the 9 bus system connected to the wind turbine, the application of PSS1A has a significant impact on system stability through increasing the system settling time [5]. In previous research [1][2][3][4][5], the system used followed the IEEE example system. To assess the effectiveness of incorporating PSS1A, a more detailed analysis is required, particularly focusing on the dynamics of load changes within large-scale real systems.…”

Stability Improvement of Sulselrabar System With Integrated Wind Power Plant Using Multi-Band PSS3C Based Mayfly Optimization Algorithm

“…Particle Swarm Optimization (PSO) is employed to modify PSS1A settings, reduce oscillations and improve stability. With ideal parameter tuning, PSS1A proved effective in enhancing the stability of an the IEEE 14-Bus system [31]. The analysis evaluates the time-domain behavior of the system following a disturbance, demonstrating improved stability using the pole placement and system participation factor methodologies.…”

Stability Enhancement of Sulselrabar Electricity System Using Mayfly Algorithm Based on Static Var Compensator and Multi-Band Power System Stabilizer PSS2B

“…The PSS1A parameters were optimized using PSO to increase stability and reduce oscillations. Improved stability was also generated in the IEEE 14-Bus system using PSS1A through optimal parameter optimization [33]. Analysis of system performance using the system participation factor approach and pole placement method for the time-domain behavior of the system after a disturbance occurs.…”