Gas turbines are used as main engines to convert fuel energy into
mechanical energy used to move the generator and thus produce
electrical power at the power plants. When you use a gas turbine in
the power plants, it must maintain a constant speed
of the turbine
and thus fixed frequency output of the current also must maintain
the parameters of the turbine such as pressures and temperatures at
the limits and thus extend the life of the turbine components and
increased efficiency. there was a need for the design of control
systems maintain a constant speed of the turbine and to avoid
operating at others and allowed values. In this research, we modeled
the gas turbine and solving the model using MATLAB/ SIMULINK
program, and then design a proportional integral differential
controller for gas turbine operating In Gandar Station
The fluctuation of voltage cannot be tolerant for equipment in modern industrial
plants such as lighting loads, PLC, robots, and another equipment, which exist in
transmission and distribution systems, so we should use proper aids to regulate volta
ge and
control it.
In this study a (± 25Mvar) Static Synchronous Compensator (STATCOM) is used to
enhance voltage stability in a (66 kv, 1500MV.A) power transmission network. The
STATCOM in this study regulates the voltage of the transmission network for changing in
voltage (± 7%) from the nominal value. A model of the power transmission system and
another model of the STATCOM device, which will enhance the stability of voltage are
designed in MATLAB/Simulink. And the control of (STATCOM) is achieved by using a
Proportional Integrative (PI) controller with Fuzzy Logic Supervisor to adjust the
parameters in PI controller in DC voltage regulator during transient states of load changing
which gives more stability in DC voltage. The results of the simulation are shown. This
study demonstrates the ability of STATCOM for regulating the voltage of the transmission
system by injecting and absorbing reactive power from the power system, and the DC
voltage be more stability by using Fuzzy Logic supervisor.
