Transmission expansion planning for 133 bus Tamil Nadu test system using artificial immune system algorithm

Abstract

Due to ever increase in load demand in developing countries similar to India, there is a necessity of proper power system equipment to serve the needs of consumers. In view of ever growth in load demand, it is required to enhance the power infra along with enhancement in load demand. Therefore there is a necessity of expansion of transmission lines to pump the power to the load centers and hence it requires proper planning of transmission expansion of power system. This paper describes Transmission Expansion Planning (TEP) which includes cost function with economic criteria as well as technical criteria. Economic criteria involves investment cost, the maintenance cost and the operation cost and also it involves cost rise owing to project delay, cost rise owing to inflation and cost rise owing to Right of Way. Transmission Expansion Planning (TEP) is developed with the help of Genetic Algorithms (GA), Bacterial Foraging Optimization Algorithm (BFOA) and Artificial Immune System Algorithm (AISA). The proposed approach is validated by performing 133 Bus TNS (Tamil Nadu System). TEP results are compared for proposed three methods.