Implementation of genetic algorithm and modified shuffled frog leaping algorithm for transmission loss minimum re-scheduling

A transmission loss minimum re-scheduling method by genetic algorithm and modified shuffled frog leaping algorithm are proposed. The problem is a complex mixed integer programming problem. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and natural genetics where modified shuffled frog-leaping algorithm (MSFLA), which is an improved version of memetic algorithm, is a relatively new evolutionary method where local search is applied during the evolutionary cycle. Since GA and MSFLA both are suitable to solve combinatorial optimization problems, it can be successfully applied to problems of loss minimum in transmission system. The proposed methodology depicts the information related to the optimization status of total system loss without installing external device to minimize the investment cost using only different re-dispatching scheduling. IEEE 30 bus system is used to demonstrate the effectiveness of the method.