A HYBRID MODEL BASED GAS POWER PLANT SIMULATOR

With the availability of powerful and high performance processors, advanced numerical methods, flexible and capable software, there is a great opportunity to develop high performance simulators for analysis of training on complex systems. Power plants are one group the complex systems with serious impact on economy, and operation of industries. A thorough understanding of power plants and their good operation and fast reaction to energy consumption is vital in any society. This paper addresses the development of a set of system component simulation modules combined with a control structure in a common software framework for a typical gas power plant. The simulator was designed for educational purposes using SIMULINK based on Object Oriented Programming (OOP) and C programming language. By the way, we present an advanced power plant simulator based on a combination of mechanistic equations and neural networks models to achieve a flexible and high performance simulator. The hybrid modeling approach is applied to the complex dynamics of a gas power plan. Ordinary high order simulators need a great deal of time to analyze a system behavior and also their development is very time consuming. This article presents a hybrid simulator to overcome these problems. This will lead to a faster and more flexible simulator, which can be easily matched to any real power plant of the same kind. A comparison of the hybrid simulator with an ordinary one is also presented.

Keywords:

Gas Power Plant , Hybrid Simulator , SIMULINK , Neural Networks