Transmission system expansion planning of KEPCO system (Youngnam area) using fuzzy set theory

This study proposes a new method for transmission system expansion planning using fuzzy integer programming. It presents stepwise cost characteristics analysis which is a practical condition of actual systems. A branch and bound method which includes the network flow method and the maximum flow-minimum cut set theorem has been used in order to carry out the stepwise cost characteristics analysis. Uncertainties of the permission of the construction cost and nonstrict reserve rate and load forecasting of expansion planning can be included for long-term transmission expansion planning and is also processed using fuzzy set theory in this study. A reasonable solution can be obtained using a fuzzy branch and bound method which includes the network flow method and maximum flow-minimum cut set theorem. Case studies on the Youngnam area of KEPCO (Korea Electric Power Corporation) system show that the algorithm proposed is efficiently applicable to the horizontal expansion planning of transmission systems in future.