Load Frequency Control Of Mini Hydro Power Generation Using Adaptive Fuzzy Logic Controller (Case Study At Debre Zeit Kebele In Chemoga River)

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