The demand for electrical energy in the world is increasing every year. Hydroelectric Power Plants (HPP) in electricity generation are method is very commonly used. Hydroelectric power plants are huge facilities and occupy large areas. Hydroelectric power plants have a lot of special control and commination systems. Along with the increasing number of hydroelectric power plants applications, the need for the education of those systems has been unavoidable in engineering education. Training hydroelectric power plants, especially theoretically continue in the field of engineering. This is a problem. In this study, a prototype has been developed. Improved Micro Hydroelectric Power Plants (MHPP) by analyzing the performance of the prototype, the model are validated.
[1]
Om P. Malik.
Amalgamation of adaptive control and AI techniques: applications to generator excitation control
,
2004,
Annu. Rev. Control..
[2]
K. Natarajan,et al.
Robust PID controller design for hydroturbines
,
2005,
IEEE Transactions on Energy Conversion.
[3]
Milan S. Ćalović,et al.
Neuro-fuzzy controller of low head hydropower plants using adaptive-network based fuzzy inference system
,
1997
.
[4]
N. Ezziani,et al.
Modeling and regulation of a micro hydroelectric power plant
,
2008,
2008 IEEE International Symposium on Industrial Electronics.
[5]
Oliver Paish,et al.
Small hydro power: technology and current status
,
2002
.