Authors : Manoj Kumar Maharana and K. Shanti Swarup
Abstract: This study presents a local optimization based corrective control strategy to mitigate transmission line overloads, which are initiated due to a contingency. Generator rescheduling and/or load shedding is performed locally, to restore the system from abnormal to normal operating state. Local optimization based overload alleviation requires appropriate selection of generator and load buses for minimum control action. A new technique for selection of participating generators and load buses using Direct Acyclic Graph (DAG) is also proposed. Particle Swarm Optimization (PSO) technique solves the corrective control optimization problem with in security constraints such as line flows and bus voltage limits. The effectiveness of the proposed approach is demonstrated for different contingency cases in IEEE 30 and 57 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.
Manoj Kumar Maharana and K. Shanti Swarup, 2009. Local Optimization Based Corrective Control Strategies for Mitigation of Overloads using Direct Acyclic Graph. International Journal of Electrical and Power Engineering, 3: 198-207.