Abstract

Congestion management in transmission systems is one of the key challenges in deregulated electricity markets for independent system operators. This issue can be solved by optimal rescheduling of active power generation in congested transmission systems. This paper introduces a metaheuristic-based methodology for solving the congestion problem in the transmission lines. The proposed approach employs the competition of tribes and cooperation of members (CTCM) algorithm for effective optimal rescheduling of active output power generation in congested transmission systems. This method mitigates the congestion in transmission lines by optimally adjusting the active power output generation while obeying constraints such as line thermal limits, bus voltage magnitude limits, and generator capacity constraints. The suggested methodology is tested on a modified IEEE-30 bus transmission system and a modified IEEE-57 bus transmission system under two critical cases. Further simulation results prove that the proposed methodology helps to mitigate congested lines with minimum rescheduling cost. Further, a performance comparison with established algorithms from the literature study has been presented. It shows the effectiveness of the proposed method in solution quality and computational reliability for congestion management applications.