Direct acyclic graph based corrective control strategies for alleviation of line overloads during contingencies

This paper presents a new direct acyclic graph based corrective control strategy to alleviate overloads of transmission lines, with the help of a local optimization concept. In the present study, a direct acyclic graph (DA G) technique for selection of participating generators and buses with respect to a contingency is presented. Particle swarm optimization (PSO) technique has been employed for generator rescheduling and/or load shedding problem locally, to restore the system from abnormal to normal operating state. The effectiveness of the proposed approach is demonstrated for different contingency cases in IEEE 14-bus and 30-bus systems. The result shows that the proposed approach is computationally fast, reliable and efficient, in restoring the system to normal state after a contingency with minimal control actions.