Optimal TCSC Placement Based on Line Flow Equations via Mixed-Integer Linear Programming

Research effort has been given to find the optimal location and initial settings of Thyristor-Controlled Series Capacitor (TCSC) using Mixed-Integer Linear Programming (MILP). As a useful tool for combinatorial optimisation over integer and continuous variables, mixed-integer programming approach can provides robust performance as well as high computation efficiency when solving complex optimal problems. Artificial Intelligence (AI) techniques, as the mainstream resolvent of system planning, are intractable for large scale systems when dealing with mixed integer problems. Previous work with MILP on power system planning issues employed dc load flow model ignoring reactive power balance, power loss and tapped transformer ratios. In this paper, a novel approximation planning methodology is proposed for preliminary system design. The objective of this planning strategy is to improve system loadability in the network by choosing optimal locations and settings of TCSC. Simulation results are presented for IEEE 9and 14-bus systems.