Relative gain array and singular value decomposition in determination of PSS location (original) (raw)
Related papers
Selection of Optimum Location of Power System Stabilizer in a Multimachine Power System
2012
In this paper an attempt has been made to propose a new technique for selection of optimu m site of a power system stabilizer (PSS) to mitigate the small-signal stability problem in a mu ltimach ine power system. Study reveals that the PSS displaces the swing mode fro m its crit ical position to a more desirable position changing the response of the excitation system. Based on the change of the exciter transfer function with respect to the PSS transfer function, an Opt imu m PSS Location Index (OPLI) has been introduced and used to identify the best location of the PSS in a mu lt imachine system. The analysis of the effect of load on eigenvalues confirms that the prediction of best location of PSS by OPLI method is more effective in enhancing the small-signal stability of the system.
Analysis of Multi Machine Power Systems to Ascertain the Ideal Location of Power System Stabilizer
IAEME PUBLICATION, 2020
Power System Stability is of paramount importance in this age of rapid globalization when the entire world depends on a constant uninterrupted flow of electricity. Generators in a system are installed with voltage regulators to keep the terminal voltages of the machines in constant automatic control. Such control actions by the regulators are said to have negative impact on the dynamic stability of the system. To achieve better system stability and improved performance it is seen that an integrated controller consisting of AVR and Conventional PSS (CPSS) is ideal. It is not feasible to have stabilizers at each machine hence having one at a location which satisfies all the requirements is beneficial. The aim of this project is to determine the most economical and optimal location of the power system stabilizer for the multi machine system thereby, aiding in improving the system stability and damp the harmful low frequency inter area oscillations. This paper investigates the test system in depth by conducting Load Flow Analysis, Small Signal Stability Analysis and Fault Analysis. The results are validated extensively for 3 Machine 9 Bus and the promising simulation results obtained are presented.
2016
In this paper, a powerful optimization algorithm is used for optimal tuning of different types of PSS to stabilize a synchronous machine connected to an infinite bus. The robustness of each controller has been evaluated via four different types of error criteria and the coefficients optimized by the Jaya algorithm which provides reasonable solution. By analyzing the results based on the solutions given by Jaya algorithm, the excellency of this algorithm in solving such problem are obvious. The capability of each controller for damping, when acting alone, may be matter of concern, too. Finally results obtained for each controller due to different criteria, have been compared to show the operational results of each controller.
Power System Stabilizer Parameters Tuning Based On Tabu Search in a Multi Machine Power System
2011
Power system stabilizers (PSSs) are used to enhance damping of power system oscillations through excitation control of synchronous generator. The objective of the PSS is to generate a stabilizing signal, which produces a damping torque component on the generator shaft. Conventional Power system stabilizers (CPSSs) are designed with the phase compensation technique in the frequency domain and include the lead-lag blocks and related parameters are determined according to a linearized power system model. The performance of CPSSs depends upon the generator operating point and the system parameters, but a reasonable level of robustness can be achieved depending on the tuning method. To overcome the drawbacks of CPSS, numerous techniques have been proposed in literatures. In this paper an optimization method based on Tabu search (SA) is used for tuning the PSS parameters. The performance of proposed SA-PSS is evaluated at IEEE 14 bus test system as a multi machine electric power system. T...