Water management simulation for electric current generation by Max-Min Ant system

Abstract

This paper is intended to purpose the development strategy in order to manage power generation in hydro power plant. The collecting data was used to investigate some factors that impact to power generation in hydro power plant and to integrate with Max-Min Ant system (MMAS) analysis which grouped in artificial intelligence. This method has been applied by the simulating ant food solution to properly compute the power generation which depends on time variant. Moreover, this method is computed based on the lowest producing cost. Finally, the analytical data has been simulated and tested on computer before launching to control the hydropower plant operation. © 2009 SICE.