ROBUST TRANSMISSION EXPANSION PLANNING CONSIDERING INTERMITTENT RENEWABLE ENGRGY GENERATION

Abstract

This dissertation proposes a novel method for robust transmission expansion planning (RTEP) considering intermittent renewable energy generation and loads. The RTEP problem, which is generally formulated using a DC model, will be formulated in this dissertation by using an AC model. The investment cost of transmission lines and operating cost of conventional generators are considered as the objective function of the planning. This dissertation proposes the method to select the suitable scenarios for planning in order to make the robust expansion plan for all possible scenarios of renewable energy generation and loads. A metaheuristic algorithm called Adaptive Tabu Search (ATS) is employed in the proposed RTEP. With the proposed method, ATS iterates between the main problem, which minimizes the investment cost and operating cost, and the subproblem, which is the process to avoid the violation of system operating constraints by generation re-dispatch and curtailments of renewable energy generation and loads. The IEEE 24 buses and northeastern Thailand transmission systems are used for testing the proposed method. The results show that the proposed expansion planning is more robust than the solutions from other previous research works.