| The Unit Commitment is a important link in power system economy dispatch , theexperience indicates that the optimized unit commitment is more economical than theoptimized load distribution. The thesis improves the Genetic Algorithms that solves the UnitCommitment ,uses the real number codes and integrates the Genetic Algorithms and Alopexalgorithms aims at that the classics Genetic Algorithms is easy to fall into the partial extremevalue, simultaneously uses the fixed proportion and direct comparision to slove thecomplex constraint condition in the Unit Commitment. Compiles the algorithms programby the C++ language, it indicates that the algorithms is good in the astringency and strong inthe adaptability and has the practical value in sloving the unit commitment that calculated theexample. |