The Development of Congestion Management of a Deregulated Power System Using Fuzzy Logic

Abstract

Regulated systems are used in certain countries, including Malaysia. The electricity power market's whole system is owned by only one organization, mainly the government. This monopoly principle happened causes the market to be uncompetitive and consumers have very little right to the set price. Thus, this will require a system change which is the deregulated power system. This system will unbundle all the generations, transmissions, figure distributions into separate ownerships. The different ownership will bring a competitive power market since consumers are free to choose organizations that provide the best price and services based on their needs. However, an overly competitive market will lead to a congestion problem in the transmission lines. Congestion refers to the condition where there is insufficient power matching between generation and transmission networks. Thus, congestion management is needed to control demand for electricity and finding better methods rather than building new construction for generation. Several methods have been used to control congestion. Classical Methods are not suitable since they have complex formulation and are unable to solve real-world significant power system problems. In these recent years, the implementation of Artificial Intelligence Method can solve a large-scale power system problem. The Fuzzy Logic Method is one of the methods under Artificial Intelligence Method. So, in this paper, Fuzzy Logic Method is used to analyze congestion problem. The principle used by Fuzzy Logic is “IF X AND Y, THEN Z”. This method deals with approximation rather than precision. The data used in this paper are data from the Reliability Test System 1996.