An intelligence-based approach to optimal power flow control considering flexible AC transmission systems

Abstract

This chapter proposes an intelligence-based approach to solve the optimal power flow (OPF) problem considering flexible AC transmission system (FACTS). FACTS plays an important role in dynamic stability and steady-state control of power systems. This chapter aims at the study of steady-state control which determines the optimal location of FACTS devices and their associated values in the transmission lines. To determine the optimal solution of FACTS, this chapter presents an improved differential evolution (IDE) approach to deal with the OPF problem. The IDE uses a variable scaling mutation operation to enhance the global search capability of basic DE. Therefore, it is very appropriate to solve the OPF problem. The proposed method is verified on an IEEE 30-bus 41-transmission line system. Results show that the proposed approach can save more active power transmission loss and provides better convergence performance than the existing methods. © 2013 Springer Science+Business Media New York.