Economizing Generation Cost by Alleviating Congestion in DPS Employing FACTS Devices

The implementation of deregulation policies in modern power systems has intensified competition in the energy markets, introducing congestion in the system. This is a risk to the reliability and security of the system. In response to this challenge, one highly effective approach involves the rescheduling of generators, though at the cost of increased energy expenses. However, the emergence of Flexible AC Transmission System devices with the advancement of electronic power offers a promising opportunity to reduce the need for generator rescheduling significantly. FACTS devices assume a pivotal role in optimizing the overall power profile of the system by mitigating power losses. This research primarily focuses on the implementation of FACTS devices to curtail generation costs by alleviating congestion within the deregulated power system. Specifically, Static Var Compensators and Thyristor-Controlled Series Compensators are strategically integrated into the system to mitigate overloading. To identify the optimal locations for applied FACTS devices and fine-tune their parameters, we propose employing the teaching learning-based optimization algorithm. This approach aims to maximize the effectiveness of these devices. To validate the efficacy of the applied approach, SVC and TCSC are integrated into the IEEE 30 Bus system. Subsequently, a detailed comparison is conducted against Grey Wolf Optimization, which is documented in the existing literature, allowing us to verify the results and assess their significance.