FREQUENCY CONTROL OF STANDALONE MICRO HYDRO POWER PLANT BASED ON FLOW VALVE CONTROL WITH NEURO FUZZY CONTROLLER (CASE STUDY:-KERAMO IN BENSA WOREDA)

Abstract

This thesis presents the frequency control of micro hydro power plant based on flow valve control with neuro-fuzzy controller. This was aimed at reducing the frequency deviations which occur during micro hydro power generation. Any mismatch between generation and demand causes the system frequency to deviate from its nominal value. Changes in linked loads are the source of this. As a result, the frequency of the system will fluctuate frequently, which could damage of Generator and electrical equipments. In this thesis frequency control of standalone micro hydro power plant based on flow valve control with neuro-fuzzy controller designed and simulated by MATLAB/Simulink software. One of the main problems with the synchronous generator of the Keramo Micro-hydro Power Plant (MHPP) is frequency instability. The most often used techniques for MHPP frequency control are servomotor as Flow Control Valve (FCV) with neuro-fuzzy Control (NFC). A comparison of PID(proportional, integral and derivative) and ANFIS(adaptive neural fuzzy inference system) controllers had been performed under different values of frequency deviations and parameter variations. It is observed from the simulation results of frequency deviation, gave a response with a settling time of 7.25sec, frequency deviation peak overshoot of 0 p.u, and peak undershoot of 1.8% or 0.018 p.u and based on PID controller gave a response with a settling time of 27.45sec, frequency deviation peak overshoot of 0.18% or 0.0018 p.u, and peak undershoot of 5.25% or 0.0525 p.u. The simulation results show that the ANFIS controller performs better than compared to the PID. The neuro-fuzzy controller not only enhanced performance but also decreased its dependence on the expert system through the fuzzy inference system (FIS)