M.A. Thesis:

Optimal Placement of TCSC in Power market to improve lines congestion using PSO algorithm

Power system has been always faced with technical and economic difficulties and limitations. One of the main problems in the power system is lines congestion, which limits the technical and economic conditions for the network and the operator. Over time and technology advances, new equipment was introduced to the power system, named FACTS, which can be used on various parameters, including power flow in the control lines. The TCSC is one of these devices that can control lines congestion in the grid by the placement and Intelligently adjustment of the grid and reduce the load of lines that have been compacted. In this thesis, the modeling of market settlement problem considering the time constraints of thermal units and technical constraints of the grid is modeled as a Mixed Integer Linear Programming (MILP) and solved with the aid of classical methods, so that market outputs can be calculated with high accuracy. The optimal placement and adjustment of the TCSC in the power system is proposed using the IPSO algorithm to reduce the congestion. The method is tested with the help of two sampled grid and the results of placement and optimization of TCSCs in the grid are presented and analyzed. The results show that the proposed method is well convergent and calculated the optimal location and amount of TCSC in order to reduce the density of the lines.

Keywords: Congestion reduction, FACT devices, TCSC, Power marketing