Modeling of Power System for Minimization of Cost by Fuzzy Unit Commitment

In planning of power system the unit commitment plays a crucial role. For sake of optimal dispatch of generating unit commitment is extensively applied. By the unit commitment process we can determine the turn on and turn off times for generators. This paper put forward the implementation of fuzzy modeling to determine the uncertainty constraints like load forecasting and fuel cost. Intelligence technique Differential Evolution Immunized Ant Colony Optimization for unit commitment problem. The verification process was performed on IEEE 30-bus test system. A MATLAB code was implemented for fuzzy unit commitment and Differential Evolution Immunized Ant Colony Optimization technique and cost solution is presented.