Optimization of Transmission Expansion Planning Considering the System Losses: A Case Study of the Garver’s 6-Bus System

摘要

Transmission Expansion Planning (TEP) is a plan to increase an electricity transmission network that aims to minimize the investment costs of network development by calculating account the power losses on the transmission line. TEP considers and fulfills the requirements such as technical, economic, and reliability of the electric power systems. In this study, the Genetic Algorithm (GA) method was used to minimize the investment costs by calculating power losses in the Garver's 6-Bus transmission network system. Furthermore, future value factors were used in this study. The optimization method using GA is selected since it provides solutions to the non-convex problems found in TEP. The simulation was conducted on Garver's 400 kV 6-Bus Network systems. The simulation resulted a total transmission cost of 1,849,223,222 USD with a standard deviation of 1,592,336 USD and an RMSE of 1,552,017 USD.