Research And Implementation A Urban Power Supply Systems Based On Genetic Algorithm

As China’s urbanization, urban power supply as one of urban infrastructure alwaysincreasing. Urban power supply related to industrial production, living and other aspects,especially in the current stage of the shortage of power resources, the city power optimizationis particularly important.This paper analyzes the current status of the city as well as power supply in urban areasof previous research done on the basis of a comprehensive analysis of the results achieved aswell as the current lack of a genetic algorithm is applied to urban expansion in the supply pipenetwork, and then design and implement a city powered deployment capabilities.In the design of genetic algorithm, we use the symbol coding, using symbolic coding canbe directly substituted into the problem domain, fitness function in the design, considering theflow rate, the failure rate, delay rate, the rate of energy dissipation in the power supply systemof allocation according to the fitness function, in the city-powered applications, demonstratethat it can achieve to find the optimal deployment of genetic evolution rely path, way in theselection of genetic manipulation, we use several classic mode of operation. Among them,select the operating mode for the preservation of the best path, the path will keep the bestfitness path to the next generation in the collection, crossover operation of adaptive crossovermanner; mutation operation is preferred variant.In the city power supply applications, the paper supply complete deployment of datacollection, a collection of alternate paths to establish and organize a collection of alternatepaths to the corresponding data sheets alternate paths, design and implementation ofalternative paths module reads the alternate path data sheets were read into the city powersupply applications waiting to be processed, genetic algorithm is applied to urban powersupply deployment, through appropriate selection, crossover and mutation, and ultimatelyachieve an optimal allocation path, design and implementation of application results outputmodule, the system will be applied to obtain the optimal genetically optimized power supplyoutput to the user interface deployment path.Finally, improvement of genetic algorithms as well as deployment of urban power supply system design to achieve the advantages and disadvantages that exist to make a summary,and one of the inadequacies of the present analysis, as proposed in the follow-up should takemeasures for improvement.