This paper proposes an application of constriction factor based particle swarm optimization technique for solving the congestion management problem in transmission networks. Congestion management is one of the vital tasks performed by the power system engineers to ensure the operation of transmission network within operating limits. Nowadays, congestion management in electric power trade is extremely significant which can enforce a barrier to the electrical energy trade. The congestion management technique is based on optimal power flow which is proposed to relieve congestion in transmission lines. It's been observed in the recent studies that alleviation of congestion in the transmission network is a serious problem in the power system operation. To maintain power system security by keeping all equipment in the system within the limit is the main objective of optimal power flow. The proposed constriction factor based particle swarm optimization combines the original particle swarm optimization algorithm with a constriction factor. It ensures convergence of particle swarm optimization algorithm to obtain optimal power flow solutions. The IEEE 30-bus system is tested by the proposed algorithm.

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