محاكاة و تحليل مثبت نظام القدرة الذكي باستخدام المنطق المضبب

Abstract EN

The basic aim of the power system stabilizer is to damp the fluctuations that occuron the rotating axis of the synchronous generator that result from noise ordisturbance on the power system.

This is achieved by producing an appropriatedamping torque for these fluctuations across the excitation circuit of the generatorand for a wide range of operation conditions.

The study describes the types ofpower system stabilizers and giving an mathematical model of the power systemthat consists of a synchronous machine connected to the infinite bus thoughtransmission lines.

This has been achieved by simulating the electric andmechanical equations of power systems and proposing a methodological approachto design a Fuzzy Logic Power System Stabilize (FPSS) relaying in the design onthe (Matlab/Fuzzy logic toolbox).

Speed deviation (Δω) and acceleration (∆ώ) ofthe synchronous machine are chosen as the input signals to the fuzzy controller inorder to achieve a good dynamic performance.

The complete range for thevariation of each of the two controller inputs is represented by a 7×7 decision table, i.

e.

49 rules using proportional derivative like fuzzy logic.

The power system(SMIB) was tested with the presence and ence of the excitation system, then(CPSS) was added, and then (FPSS).

The simulation results of the proposed fuzzylogic on )SMIB( gave a better dynamic response, decreased the settling time andgood performance of the stabilizer in damping the fluctuations that arise in thespeed of rotation of the generator and its active power in various operatingconditions when proposed (FPSS) is compared with conventional PSS.

Thesimulation results proved the superior performance of the proposed (FPSS).