TY  - JOUR
T1  - Local Optimization Based Corrective Control Strategies for Mitigation of Overloads using Direct Acyclic Graph
AU - Maharana, Manoj Kumar AU - Swarup, K. Shanti 
JO  - International Journal of Electrical and Power Engineering
VL  - 3
IS  - 4
SP  - 198
EP  - 207
PY  - 2009
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2009.198.207
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2009.198.207
KW  - Direct acyclic graph
KW  -participating bus identification
KW  -overload alleviation
KW  -corrective control strategy
KW  -particle swarm optimization
KW  -generator rescheduling
KW  -load shedding
AB  - 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.
ER  -