Research Of Selection Of AGC Units And Generator Unit Optimal Commitment Based On Improved Genetic Algorithm

With the power industry of China is going to establish a market-based operationalmechanism, The Selection of AGC Units and Generator Unit Optimal Commitment on agrowing scale, constraint conditions is increasingly complex. Papers on GeneticAlgorithms in AGC and Generator Unit Optimal Commitment and the application ofresearch, including the following: Analysis of the Selection of AGC Units and GeneratorUnit Optimal Commitment of development and current situation, and noted that the studyGenerator Unit Optimal Commitment included AGC of the need for a new model; Thetheory of Genetic algorithms is discussed, and a number of deficiencies of the standardgenetic algorithm are pointed out, New improved genetic algorithm model, analysis of thegenetic algorithm to improve performance; According to Generator Unit OptimalCommitment included AGC model of particularity, a binary variable length coding,According to the coding and design a specific genetic manipulation, for the continuousvariables, such as the use of the equi-microincrease rate method of treatment; According tothe Selection of AGC Units model the characteristics of improved genetic algorithm modelof modest simplification, Treatment with Priority model of continuous variables, andimproves the performance and precision; Finally, data, and simulation results showimproved genetic algorithms rapid convergence and high precision, and adapted to largeand medium-sized system.