Congestion Management in Power Transmission Lines with Advanced Control Using Innovative Algorithm

It can be challenging to allocate all the necessary power to a supply in a modern power system if the power lines are overloaded. The conventional power system, monitored by flexible AC transmission system (FACTS) controllers, is one answer to this issue because it can increase the electrical power system's ability to deal with rapid variations in working circumstances. The advanced interline power flow controller using a constriction factor-based particle swarm optimization (CFBPSO) algorithm (AIPFC) was proposed in this paper as an optimal power flow control for controlling congestion in transmission lines. When comparing the performance of single-line and multi-line FACTS controllers, the latter is shown to be more effective overall. This paper presents a comprehensive model of an advanced interline power flow controller (AIPFC) and explores the effect of situating the controller in the most advantageous physical location. To address OPF concerns when using state-of-the-art IPFC, a novel algorithm, CFBPSO, is proposed. A traditional IEEE 30 bus test system is used to verify the proposed method. A standard IEEE 30 bus test system is used to verify the accuracy of the proposed method. In their paper, the researchers show that their proposed algorithm works by showing that the value of the objective function goes down.