TUNING FOR POWER SYSTEM STABILIZER USING  DISTRIBUTED TIME-DELAY NEURAL NETWORK

In this paper, a Distributed Time-Delay Neural Network (DTDNN) algorithm is used to control the Power System Stabilizer (PSS) parameters to find the reliable conditions. The proposed DTDNN algorithm apply tapped delay line memory to set the PSS. In this study, DTDNN consists of a DTDNN-identifier and a DTDNN-controller. The performance of the system with DTDNN-PSS controller is compared with a Recurrent Neural Network PSS (RNN-PSS) and Conventional PSS (C-PSS). The results show the effectiveness of DTDNN-PSS design, and superior robust performance for enhancement power system stability compared to other with different cases.

Download Full-text

AN ADAPTIVE POWER SYSTEM STABILIZER BASED ON FOCUSED TIME DELAY NEURAL NETWORK

Jurnal Teknosains ◽

10.22146/teknosains.35130 ◽

2018 ◽

Vol 7 (1) ◽

pp. 67

Author(s):

Widi Aribowo

Keyword(s):

Neural Network ◽

Time Delay ◽

Power System ◽

System Stability ◽

Power System Stabilizer ◽

Prediction And Control ◽

Adaptive Power ◽

Single Machine Infinite Bus ◽

System Stabilizer ◽

Individual Strategies

In this paper, Power System Stabilizer is designed in Single Machine Infinite Bus (SMIB) and speed control is implemented with a dynamic topology based on Focused Time Delay Neural Network (FTDNN). In case of prediction and control, two individual strategies are concerned for the current projects. The first is identification the dynamics of system. The other is an optimization unit expected for minimization disturbances. The performance of the system with FTDNN-PSS controller is compared with a Conventional PSS (C-PSS), RNN-PSS and DTDNN PSS. The results show the effectiveness of FTDNN-PSS design, and superior robust performance for enhancement power system stability compared to Conventional PSS with different cases.

Download Full-text

An Accurate Method for Delay Margin Computation for Power System Stability

Energies ◽

10.3390/en11123466 ◽

2018 ◽

Vol 11 (12) ◽

pp. 3466 ◽

Cited By ~ 7

Author(s):

Ashraf Khalil ◽

Ang Swee Peng

Keyword(s):

Time Delay ◽

Power Systems ◽

Power System ◽

System Stability ◽

Area Measurement ◽

Power System Stabilizer ◽

Iteration Algorithm ◽

Measurement Units ◽

System Stabilizer ◽

Delay Margin

The application of the phasor measurement units and the wide expansion of the wide area measurement units make the time delay inevitable in power systems. The time delay could result in poor system performance or at worst lead to system instability. Therefore, it is important to determine the maximum time delay margin required for the system stability. In this paper, we present a new method for determining the delay margin in the power system. The method is based on the analysis in the s-domain. The transcendental time delay characteristics equation is transformed to a frequency dependent equation. The spectral radius is used to find the frequencies at which the roots cross the imaginary axis. The crossing frequencies are determined through the sweeping test and the binary iteration algorithm. A single machine infinite bus system equipped with automatic voltage regulator and power system stabilizer is chosen as a case study. The delay margin is calculated for different values of the power system stabilizer (PSS) gain, and it is found that increasing the PSS gain decreases the delay margin. The effectiveness of the proposed method has been proved through comparing it with the most recent published methods. The method shows its merit with less conservativeness and fewer computations.

Download Full-text