Coordinated control of multi-FACTS based on improved teaching-learning algorithm to improve ATC

In order to accurately calculate power systems available transfer capability (ATC), this paper proposes anew model including FACTS devices for calculating transfer capability with the "N-1" static stability margin constraints. Based on the teaching- learning-based algorithm (TLBO), an improved teaching-learning algorithm (ITLA) is put forward which is able to deal with complicated nonlinear constraints in power system. The efficiency of the algorithm is demonstrated with different standard functions. With the increasing demand of electricity, making full use of Flexible Alternative Current Transmission Systems (FACTS) to transform transmission grid is a very effective way to increase the available transfer capability without changing the existing network architecture. In order to give a full play to the ability to improve line power flow, it is necessary to develop a effective solution to make the best use of several FACTS devices. A coordinated control strategy based on ITLA considering multi-FACTS devices is proposed to increase the transmission capacity of power lines. A simulation is carried out on an IEEE standard system to test its effectiveness.