Research On Optimal Location And Parameter Setting And Damping Control Strategy Of TCSC

Nowadays the scale of electric power systems in our country has been getting larger, and the network structures and operation conditions have become increasingly varied and complex, which has brought problems to the stability and security of power systems. As the concept of flexible AC transmission system is put forward, a new scheme is provided for solving problems about security and stability of power systems.This paper mainly conducts the research on TCSC (Thyristor Controlled Series Capacitor) to which much attention is paid in power systems. The present research status of TCSC is summed up. On this basis, single line contingency analysis and quantum genetic algorithm are used for optimal location and parameter settings of TCSC. And according to the power system that has been optimized, we design the T-S fuzzy controller to enhance the stability. Finally, the conclusion includes discussion on some problems and directions for future study.The main contents of this paper are followed:(l)Introduce the basic concept and classification of FACTS, and focus on the present research status of practical engineering and theoretical research of TCSC.(2)The working principle, and steady and dynamic mathematical models of TCSC are mainly introduced, and the hierarchical control strategy of TCSC is elaborated.(3)The method for optimal location and parameter settings of TCSC is based on single line contingency analysis and quantum genetic algorithm. Then we use this method to optimize the IEEE6-bus power system and IEEE14-bus power system.(4)According to a single machine infinite bus system, T-S fuzzy control theory and related theorems of linear matrix inequality (LMI) are introduced to design two TCSC fuzzy controllers and then the simulation is conducted to verify the performance of the controllers. The result indicates that the controllers can improve the static stability and transient stability of the power system.(5)A mathematical model is set up in the power system of IEEE6which has been optimized. On this basis, two TCSC T-S fuzzy controllers are designed respectively. The simulation result indicates that these two controllers can enhance the stability of the multi-machine power system.