Optimal Transmission Expansion Planning of Bagmati Province of Nepal Using Mixed-Integer Linear Programming

Abstract

For any country, proper planning of the transmission system is important for creating a secure and reliable transmission grid. Government of Nepal has set out various targets in the power generation sector keeping abundantly available hydro resources of the country in view, along with the development of other renewable energy sources. For the evacuation of energy generated from these resources, development of a strong and reliable transmission system is crucial and the development of the strong and reliable transmission system is only possible by proper and rational planning of the transmission system. In this thesis, an optimization model based on a mixed integer static linear programming method is proposed for the high voltage transmission network expansion planning of Bagmati Province of Nepal considering the generation-load growth scenario for the year 2040. The objective function of the model is defined to find the minimum cost option for the high voltage transmission line expansion planning of the region. This thesis can be divided into two parts. First, the existing transmission system of Bagmati province of Nepal is evaluated for the adequateness of the existing electrical transmission network for the generation-demand scenario for the year 2040. Then mixed-integer linear programming (MILP) based optimization model is formulated to determine the minimum-cost, high voltage transmission expansion plan for Bagmati Province of Nepal.