SIMULATION A DYNAMIC MODELING THEORY OF STEAM TURBINE BASED ON AGENTIC A LOGARITHM

In the present paper, a thermodynamic analysis of steam turbine type (K?800?23.5?0.034), power plant has been carried out. The power plant system was simulated and a detailed parametric study undertaken, which involved environmental parameters, such as the temperature of cooling water entering the condenser and the inlet ambient air temperature, as well as some other operational parameters, such as excess air percentage and stack exhaust temperature. It was noted that the excess air percentage should be maintained below 10% and stack exhaust temperature should keep to a minimum. A detailed analysis of exergy losses was made. It was observed that the relative exergy losses in the combustor and evaporator are the highest compared with other parts of the plant. Finally, many recommendations have been suggested for improved plant performance. The present study helped to identify plant site conditions that cause losses of useful energy to take place and also helped to resolve some problems encountered in steam turbine type (K?800?23.5?0.034), capacity unit. Developing nonlinear mathematical models based on system identification approaches during normal operation without any external excitation or disruption is always a hard effort, assuming that parametric models are available. This study included on using soft computing methods would be helpful in order to adjust model parameters over full range of input?output operational data. In this study, based on energy balance, thermodynamic state conversion and semi ? empirical relations, Different parametric models are developed for the steam turbine subsections. In this case, it is possible the model parameters are either determined by empirical relations or they are adjusted by applying genetic algorithms as optimization method. Comparison between the responses of the turbine ? generator model with the responses of real system validates the accuracy of the proposed model in steady state and transient conditions. The study presents the usage of the cycle ? tempo and Matlab/Simulink package to implement the model of the power plant unit (VPPM), which is the basis for the Virtual Power Plant (VPP). This environment facilitates virtual modeling approach at component and system levels