Congestion management has become an important issue both in Vertically Organized Utilities (VOU) and the Restructured Power Systems (RPS). Congestion threatens sys- tem security and may result in major failures due to cascade tripping of transmission lines. In Restructured Power Systems, congestion may occur not only due to technical rea- sons but also due to economic reasons such as availability of cheaper generation at a specific location in the network where transmission capacities are inadequate. Manage- ment of congestion is a collective responsibility of all the entities in the system. As many entities are involved in the RPS, an efficient congestion management procedure is needed. Moreover, the cost of congestion management should be distributed equitably among all. In this thesis some aspects of congestion management, both in VOU and RPS are studied. Some new strategies are proposed and algorithms are developed. A computa- tionally efficient and economically advantageous congestion management algorithm for VOU is developed. For the Pool Model of RPS, three strategies are proposed for gen- eration and load dispatch to manage congestion that use the transmission charge as the congestion management tool. Lastly, a decentralized congestion management for multi- lateral trading is proposed where, the trading entities or brokers can iteratively arrive at a congestion free solution utilizing the transmission price signal. Numerical simulation studies of the proposed methods are carried out for a number of systems. It is shown that the proposed strategies can manage congestion with better economic results.
A Thesis Submitted To Indian Institute Of Technology, Kharagpur For The Award Of The Degree Of Doctor Of Philosophy In Engineering By Bani Kanta Talukdar Department Of Electrical Engineering Indian Institute Of Technology Kharagpur - 721 302 India February 2008, S. Mukhopadhyay Professor A. K. Sinha Professor Department of Electrical Engineering Indian Institute of Technology Kharagpur (W.B.),