Fuzzy Optimization Using TCSC Device for Congestion Management

摘要

The management of congestion is somewhat more complex in competitive power markets and leads to several problems. It is one of the challenging tasks in power system deregulation. In a transmission line, congestion occurs when there is an insufficient transmission capacity to simultaneously satisfy all constraints for transmission in deregulated power market. Flexible alternative current transmission system (FACTS) devices have been used for the enhancement of loadability by reducing the flows in heavily loaded lines. It also improves the stability of the network, reduces the cost of production and fulfills all requirements by controlling the power flow in the network. In the proposed work, a non-traditional optimization technique, Fuzzy logic (FL) is used to optimize the various process parameters involved in introduction of FACTS devices in a power system. The various parameters taken into consideration were the location of the device, their type, and their rated value of the devices. The simulation was performed on a 14-bus power system with various types of FACTS controllers, modeled for steady state studies. The effectiveness of the proposed method has been demonstrated on IEEE 14-bus system.