Development of Multi-model for Cogeneration System Using Statistical Analysis

Cogeneration system is a nonlinear multivariate system with a wide operating regime. The efficiency of electricity generating and thermoelectric conversion coefficient of turbine generator are affected by many factors such as load variation, extracted steam change, and unstable supplied power etc. In this paper, a kind of identification algorithm has been proposed to build the statistical model of generating efficiency. Firstly, key variables are selected by using stepwise regression method. Then, statistical models are built in different operating regimes. The experimental results demonstrate the performance of the presented algorithm. The field engineer can take the developed model as a reference and determine the operating operation of cogeneration system. As a result, the performance of turbine generator is improved and the operating cost is reduced.