Congestion management in deregulated power system by rescheduling of generators using genetic algorithm

In the deregulated power system congestion management is one of the most challenging tasks of System Operator. Due to congestion in the transmission lines, it is not always possible to deliver all of the contracted power transactions, where in both the buyers and sellers try to buy and sell electric power so as to maximize their profit. System Operators try to manage congestion, which otherwise increases the cost of the electricity and also threatens the system security and stability. To maintain the market efficiency, it is very important that the congestion be relieved in a fast, systematic and efficient manner. In this work congestion management is done by generator rescheduling and genetic algorithm is used to identify the minimum cost of rescheduling. Generation sensitivity factor has been used to identify the generators, which affects more on the congested line. Simulation results based on Genetic Algorithm is presented for IEEE 30 Bus system.