Study On T-S Fuzzy Model Of Gas-steam Combined Cycle Unit

The energy issue concerns national economy,people’s livelihood and national security.As China proposes the "dual carbon" goal and elevates it into a national strategy,China’s energy and electric power industry will undergo a profound change.The environmental and resource problems brought by using coal as primary energy for power generation are prominent and serious,while clean energy generation is faced with major challenges in power system regulation and flexible operation.Low emission and flexible gas generating units can not only serve as transitional power during the transition period,but also provide effective capacity guarantee for the system.Gas unit has the characteristics of flexible start and stop,high fuel efficiency,strong regulation ability and so on,which is the best choice for the current development of new energy.As the core part of the unit,the gas turbine determines the operation performance of the whole unit,so it is very necessary to carry out research on the gas turbine.At first,this paper analyzes the gas-steam combined cycle principle of combined cycle unit,gas of thermal power plant of gaojing has retired "two drag one" type gas-steam combined cycle generating unit as an example,analyzes the gas turbine,waste heat boiler and steam turbine operating characteristic and the thermal parameters,and operation characteristics comparing with conventional coal-fired units,The key variables affecting unit operation are introduced.Then in view of the gas turbine internal structure is complex,nonlinear and strong coupling,it is difficult to directly obtain the precise model of gas turbine,this paper chose "decomposition-convergence" strategy,based on the T-S fuzzy identification of input and output data modeling method,the reference on the basis of the theory and experiment,the gas turbine is simplified to two input and output model.Through introduced the principle of T-S fuzzy identification,the model structure was identified by the improved fuzzy C-means clustering(FCM)algorithm,and the model parameters were identified by the least square method with both result modification and recursive method,obtained with the fuzzy mathematical model of linear rules expression statements,the precision of the model is verified by regression model index and versatility.In order to verify the generalization ability of the gas turbine model,this paper combines it with dynamic matrix predictive control and applies it to the output predictive control strategy.Mainly divided into dynamic matrix predictive control principle is introduced,and the identification of the transfer function between input and output data,the former transforms nonlinear predictive control into linear predictive control through multi-model predictive control,which is through the improved particle swarm algorithm for gas turbine site accurate transfer function,finally through the target tracking experiment and disturbance experiment of testing,the results show that the hybrid algorithm of T-S fuzzy model combined with predictive control has better performance than PID control.