Abstract:
Micro Hydro-Power Plants are a good solution for serving small community standalone
power customers in places, not on the national distribution network. Frequency variations in
a power system occur because of an imbalance between generation and load. When the
frequency value of a power system reaches the emergency condition, the control strategy is
initiated. If the total generation power is more than the total load power the system frequency
will rise; otherwise, if the total generation power is less than the total load power, the system
frequency will fall.
The frequency controller controls the water flow rate by acting on the electric valves. When
the customer loads are increased and decreased, the water flow needs to be proportionally
regulated to keep the frequency constant. The system components may get damaged if the
frequency is not maintained constant. Hence proper frequency control is very critical to the
operation of the microgrid. In this thesis, a fuzzy logic-based frequency controller is
designed and simulated.
The optimal fuzzy membership functions of the fuzzy-based controllers were determined using
Particle Swarm Optimization. A micro hydro power plant of menko toli was developed in
MATLAB Simulink and the effectiveness of the controller designed is tested. The results were
presented in this thesis. It also shows the results of a comparison of the PID controller and
the developed fuzzy controller has been compared and presented based on overshoot and
undershoots, peak, and the peak time of the system response.
The simulation result showed that the most accurate and precise result was given by Fuzzy
particle swarm optimization (FPSO) with a step response of Rise Time of 0.49msec, Settling
Time of 2.3547 sec, overshoot of 0%, and Peak Time of 8.4m sec. The simulation results
demonstrate that the viability of the designed fuzzy with particle swarm optimization-based
controller is best in no-load and when a load is added to the micro hydro power plant
