The unit commitment is one of the important jobs while scheduling the short-termgenerating plans in an electric power system . It falls into the field of NP-Completeprogramming , and has nearly no optimized solutions theoretically when the number ofdimension of its modeling becomes huge . Different kinds of modeling and arithmeticmethods have been and are being developed to approach this problem so as to profit a lotfrom it . This article will summarize lots of arithmetic methods which are currently usedin practice , mend the traditional mathematic model of unit commitment problem basedon considering the AGC units ,and specify dynamic programming method and thegenetic algorithms . Using binary coding GAs to solve UC the amount of calculation andemployed ram will be greatly increased . For this problem a coding scheme is used inwhich the binary encoding and floating numbers are combined , this article willcalculate a material example with dynamic programming method and the geneticalgorithms and analyze the solution. |