Congestion Management by Generator Real Power Rescheduling using Hybrid Grey Wolf Optimizer and Cuckoo Search Algorithm

Deregulation enforces several challenges and changes in the electricity market. The complexities of deregulated market along with exponential load growth impose threat to the transmission sector as well. Due to the growing trend in electricity demand, the power flows through the lines are violating their thermal limit which results in transmission congestion in the system. Independent system operator (ISO) chooses the alternate option so that congestion can be managed in an effective way. Generator rescheduling is one of the prime choices of ISO to manage congestion in deregulated market. In this work, congestion management considering rescheduling of real power of generator has been considered for transmission line. A hybrid grey wolf and cuckoo search optimization algorithm has been considered to formulate the congestion management problem in an effective way. The results are analyzed and compared with the other results reported in the literature. The modified IEEE 30 bus test system has been considered in the work of study.