CONGESTION MANAGEMENT ANALYSIS BOTH WITH REAL AND REACTIVE POWER PRICING

Abstract

In this thesis an algorithm using steepest descent gradient optimization technique has been proposed for congestion management suitable for deregulated environment. When beneficial bilateral transactions are encouraged within a system, some of the system operating constraints may be violated and leads to congestion. A new strategy for optimal dispatch of power among transactions has been suggested using willingness to pay price factor. Based on the proposed model transactions with higher willingness to pay price factor will be encouraged more relatively compared to other transactions. The performance of the proposed algorithm has been tested with 5 bus test case system and modified IEEE 14 bus test case system for both real and reactive power transactions. It has been found that results so obtained are found to be useful and encouraging. The proposed model is robust and can be applied to large practical systems