Development of congestion management of deregulated power system using fuzzy logic

Sari, Clara (2021) Development of congestion management of deregulated power system using fuzzy logic. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Regulated system is used in certain countries, including Malaysia. A regulated system means that the whole system of the electricity power market is own by only one organisation, mainly the government. This monopoly principle causes the market to be uncompetitive and consumers have a very little rights on the set price and no freedom to choose. Thus, this will require a system change which is the deregulated power system. This system will unbundle all the generations, transmissions, distributions into separate ownerships. The existence of the different ownership will bring a competitive power market since consumers are free to choose organisations that provide the best price and services based on their needs. However, an overly competitive market from development of deregulated system 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 large 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 project, Fuzzy Logic Method is used to analyze congestion problem. The principle used by Fuzzy Logic is “IF X AND Y, THEN Z”. The inputs and outputs for the Fuzzy system will be related to congestion problems. Thus, the inputs will be the value of load and the prices set for the transmission lines, while the output of the Fuzzy will be the level of congestion. Fuzzy method deals with approximation rather than precision. The data used for this project will be using data from the Reliability Test System 1996 (RTS-96). RTS-96 is used as a standard testing system that could be used to analyze and compare the results. The system will be tested using the data using the data from weekly peak load and daily week load. Then, an evaluation technique will be used to assess the system based on requirements needed.

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