Application Of Inverse Model Control In Coordinated Control System

With the continuous growth of electricity demand,the level of technology and equipment of the electric power industry has been greatly improved;large generating units have been rapidly developed.Large capacity,high parameter,high efficiency and large unit with high automation technology have become one of the main characteristics of China's electric power industry.At the same time,in order to guarantee the safety,quality and economic operation of the power system,the State grid will make rigorous assessments of the power plant automatic generation control,the input rate of primary frequency regulation and the adjust indicators Therefore,the power plant are increasingly high requirements of the central control unit--the coordinated control system.At present,the advanced control research of unit is more and more important,more advanced control algorithms and intelligent control strategy are applied to the coordinated control system.The inverse model control algorithm is an advanced control algorithm;it is suitable for complex control system for its characteristic.As a promising controller,the inverse model control shows its superiority in the strong coupling,nonlinear,multi variable and time-varying system.The increasing speed of computer operation makes it possible to be applied in complex industrial process.This paper studied the inverse model control algorithm deeply and applied it to 600 MW coordinated control system.First,this paper detailed the basic concepts of coordinated control system,and gave the model of controlled object.Secondly,this paper studied the single-variable inverse model control and considering its characteristics proposed the inverse model control with internal model control to form a closed loop control system.And the feasibility of this algorithm is verified by the control simulation compared with traditional PID control on single variable control system.Then,this paper studied the multivariable inverse model control theory,and compared the simulation result of multivariable SVM control and multivariable LSSVM control.Last,the multi-model control strategy was combine with the multivariable inverse model control,the simulation results showed that the multi-model multivariable inverse model control is better than single-model when they are used to control atypical load point.The results showed that the inverse model control algorithm can gain good quality.