Abstract:
Electricity is the main source of energy all over the world. Almost all the remote rural areas of Ethiopia
have not benefited from the use of electricity in the same proportion as the more populated urban areas
of the country either the remote location or the low population densities. Among them, Debre Zeit
kebele is one of the selected remote rural area that have no access to electricity. Due to increasing
energy demand and global warming, the use of new and renewable sources of energy has become
necessary.
This thesis investigates load frequency control of mini hydro power generation using adaptive fuzzy
logic controller case study at Debre Zeit kebele in Chemoga river. The components of mini hydro
power generation (MHPG) are modeled, designed, and simulated by using MATLAB/Simulink
software. The simulation results are observed by using a convectional PID controller and an intelligent
AFLC. It is observed from the MATLAB simulation results, the effects of system performance
measuring variables by using PID controller are tested for different load variations of 0%, 20%, 50%,
60% and 65%, are large rise time, large overshoot and also very small steady-state frequency error are
obtained respectively.
The effects of system performance measuring variables by using AFLC are tested for different load
variations of 0%, 20%, 50%, 60% and 65%, are very small rise time, very small overshoot and also
very small steady-state frequency error are obtained respectively.
Generally, PID controller is poor control system stability performance measuring variables, it is only
considering steady-state frequency error approaches to zero at various load changes. Therefore, both
the transient and steady-state control system stability performance measuring variables are improved
by AFLC. The controller works efficiently under all operating load conditions because, this controller
is suitable for complex, nonlinear, uncertain, higher-order, and time-delay systems
