Development of a hybrid simulator of a fossil fuel steam power plant

Considering the extensive applications and also importance of simulators with flexible abilities such as link speed, reliable topology and accessible for all necessary data and tests, this paper addresses a method which have these advantages including a structure which can be updated for several behaviors of processes. Here we present an advanced power plant simulator based on a combination of mechanistic equations and neural networks and wavelet models to achieve a high performance response. The hybrid modeling approach is applied to the complex dynamics of a fossil fuel steam power plant which have previously developed via SIMULINK and OOP. Since most of high order simulators consume much time to analyze a behavior and also their development is very time consuming, this article tries to present a hybrid simulator to overcome these problems. Comparisons of the hybrid simulator and the original one is also presented.