M.Sc. Tezi Görüntüleme
The power flow analysis applications, which has an important role on management andplanning of power systems, are renewed with the updated methods. Power flow analysis is
done to obtain the generating values under normal conditions so that these values can berestored after a fault or abnormal conditions.
Bus bar voltage, line currents and power delivered under normal operating conditions are usedby the system operators to initialize and keep the system runnig as desired.
A power system network usually contains hundreds and thousands of buses and lines that requires very large matrices to be solved applying iterative methods. Over the years, many algorithms using Gauss-Seidel, Newton Raphson and Fast Decoupled power flow analysis methods have been developed and used.
In this work a fuzzy logic concept has been integrated to the classical power flow analysis methods in order to reduce the number of iteration as well as to reach the results with better approximations.
The thesis gives a background information about power flow analysis methods used up until now including those of Gauss-Seidel, Newton Raphson and Fast Decoupled power flow analysis.
An IEEE-30 bus test system is used to simulate these classical methods first. Then the proposed fuzzy logic approach is integrated to these classical methods to yield fuzzy logic supported versions of all these methods. The integration of fuzzy logic to classical Gauss-Seidel, Newton Raphson and Fast Decoupled methods have turned these methods to the following
Fuzzy logic supported Gauss-Seidel algorithm Fuzzy logic supported Newton Raphson algorithm
Fuzzy logic supported Fast Decoupled algorithm
The IEE-30 bus system is solved using both classical and proposed fuzzy logic supported methods for comparison and show the improvement due to fuzzy logic.
Key Words :Power Flow Analysis, Fuzzy Logic, Gauss-seidel Power Flow Analysis, Newton Raphson Power Flow Analysis, Fast Decoupled Power Flow Analysis