OPTIMAL UNIT COMMITMENT OF POWER SYSTEM USING FAST MESSY GENETIC ALGORITHM

This paper presents a new approach via improved version of genetic algorithm to solve optimal unit commitment (UC) problem. Fast Messy Genetic Algorithm (FMGA) is applied to the calculation of optimal unit commitment problem. The test results demonstrate that not only the FMGA procedure consider is the constraints very well, but also has some advantages, such as good convergence, fast calculating speed and high precision. A ten unit power system was used as a numerical example to test the new algorithm. The optimal scheduling of on line generation units could be reached in the testing results while satisfying the constraints of the objective function. Numerical results indicate that the performance of the FMGA algorithm outperforms the other algorithms and achieves minimum generation cost.