Application of Fuzzy and Predictive Algorithms in Modeling and Optimization of Natural Gas Pipeline Systems

This paper consists of three parts which aim at developing an optimal dispatching algorithm for natural gas pipeline systems. First of all, a proficient model is proposed to determine the pressure level and the horsepower requirement in the network. This system constructs an input-output mapping based on human knowledge and input-output data pairs in the form of fuzzy if-then rules. In the second part, the problem ofminimizing the energy consumption by compressor stations in a transmission network is addressed that is able to find an optimal solution using the model-based predictive scheme. The last part of the paper concentrates on dynamic modeling of gas distribution pipeline system; and deriving a simplified model from the set of PDE’s governing the dynamics of the system.

کلیدواژه ها:

Gas Pipeline System ، Modeling ، Optimization ، Fuzzy ، Model-based Predictive Scheme