Influence of Fuzzy Power System Stabilizer using Different Membership Functions for Single and Multi-machine
| Autor: | Djilani Ben Attous, Slimane Touil, Youcef Bekakra |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Operating point
Computer science 020209 energy Gaussian Stability (learning theory) Energy Engineering and Power Technology 02 engineering and technology Fuzzy logic Computer Science Applications Electric power system symbols.namesake Nonlinear system Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Electrical and Electronic Engineering MATLAB computer computer.programming_language |
| Zdroj: | Journal of Control, Automation and Electrical Systems. 32:1269-1278 |
| ISSN: | 2195-3899 2195-3880 |
| Popis: | Design of a new method for a robust, nonlinear and intelligent stabilizer based on fuzzy logic combining a conventional controller, lead-lag power system stabilizer (PSS), is suggested in this paper for single- and multi-machine power systems. The proposed strategy takes into account the stability of the system by damping the oscillations separately of the operating point and this even for several operating conditions. Simulation of two power systems Kundur made it possible to determine the performance of the proposed fuzzy logic power system stabilizer (FPSS) versus the various quotas commonly encountered in the network. The implementation of the proposed FPSS is examined for trapezoidal, Gaussian and triangular membership functions and compared to the conventional PSS. Increasing of speed deviation and acceleration are taken like inputs. To show the efficacy of the proposed FPSS, the simulation results of the framework are implemented in MATLAB/Simulink. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink