Congestion management under deregulated fuzzy environment

In this paper, an efficient and practical hybrid model has been proposed for congestion management analysis for both real and reactive power transaction under deregulated fuzzy environment of power system. The proposed hybrid model determines the optimal bilateral or multilateral transaction and their corresponding load curtailment in two stages. In the first stage classical gradient descent optimal power flow algorithm has been used to determine the set of feasible curtailment strategies for different amount of real and reactive power transactions. Whereas in the second stage fuzzy decision opinion matrix has been used to select the optimal transaction strategy considering increase in private power transaction, reduction in percentage curtailment, and its corresponding change in per unit generation cost and hence profit as fuzzy variables. The performance of the proposed algorithm has been tested using modified IEEE 30 bus test system. The solutions so obtained are found to be quite encouraging and reliable refer to both utility and customers.