الفهرس 
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Abstract
Due to the benefits of wind power in ecological enhancement and low
cost energy, the use of wind power is spreading. In this thesis, the impact of
wind power penetration on the system dynamic stability will be studied. The
results show that the wind power causes reduction in the damping of power
system oscillations. Therefore, power oscillation damping controllers (POD)
are designed for improving the system dynamic stability to an acceptable level.
The POD will be designed in the thesis by conventional and optimization
methods. The POD has been designed initially by two conventional methods
which are the frequency response and residue methods in single machine
infinite bus (SMIB) test system. After verification of results, the POD has been
applied on a weakly interconnected power system which consists of two areas
for the purpose of enhancing the power system stability which is reduced by
increasing of the wind power penetration.
The POD has been designed in the two area power system which includes
two types of wind turbine generation technologies (WTGs) which are fixed
speed SCIGs and the variable speed DFIGs. The objectives of wind power in
the two area system are to reduce the dependency between the two areas and
the reduction of conventional fuel use while keeping acceptable damping levels.
Therefore, two situations are covered in the two area system. The first one is
the replacement of conventional power by wind power while the second one
includes the addition of wind power to an existing conventional power
generation system.
The POD has been designed in the two area system by the frequency
response method as a conventional method and genetic algorithm (GA) method
as an optimization method near the maximum wind penetration level.
Validation of the GA method has been achieved and then applied to
obtain the adaptive POD parameters at different operating points. The modal
analysis and the time-domain simulation are used for validating the POD
efficient design.
Simulation and analysis are applied with aid of the power system analysis
toolbox (PSAT) version 2.1.7.