TRANSMISSION EXPANSION PLANNING

Abstract

This project describes the application of Genetic Algorithm (GA) to deal the Transmission Planning (TNP) problem to obtain the minimum cost solution while meeting the other constraints such as thermal, reliability criteria. The non- convexity that has been observed in the TNP cannot be solved effectively by conventional mathematical methods. GA has the ability to find the global optimal point in such a non-convex function. As there are no fractional transmission lines, TNP becomes a very complex mixed integer non-linear programming problem. GA can be used to select the optimal new transmissionlines network with the least investment cost, while meeting the total load demands without any load curtailment. The Result is obtained from MATLAB programming & Genetic Algorithm (GA) Optimization Toolbox.