A Genetic Algorithm Based Multi Objective Service Restoration in Distribution Systems | Science Publications

Journal of Computer Science

D. P. Kothari¹  Sathish K. Kannaiah¹  Jayabarathi Thangavel¹ 

关键词: Genetic algorithm;    Electric Power Distribution Systems (EPDS);    Electric Diesel Generator (EDG);    Optimistic Time (OT);    Pessimistic Time (PT);    Maximum Time (MT);    Standard Deviation (SD);    current transformer;   

DOI  :  10.3844/jcssp.2011.448.453

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: A Genetic Algorithm (GA) used here to find exact or approximatesolutions to optimization and search problems. Genetic algorithms are a particular class of evolutionaryalgorithms that use techniques inspired by evolutionary biology such as inheritance, mutation,selection and crossover. Approach: GA is a method for search and optimization based on the processof natural selection and evolution. In this approach, several modifications are done for effectiveimplementation of GA to solve the Electric Power Service Restoration Problem. Results: The problemstatement includes all the objectives and constraints required for a practical supply restoration scheme.GA is used here to obtain the better result compared with other methods. GA starts with number ofsolutions to a problem, encoded as a string of status of sectionalizing and tie switches. Conclusion:The status of the switch

【 授权许可】

Unknown