计及供热的发电机组AGC优化控制研究

Optimal Control of Generator Set Automatic Generation Considering Heating

为解决供热抽汽改造导致的发电机组热电耦合及非线性问题,提高系统自动发电控制(AGC)跟随能力,提出了用于解耦控制的前馈补偿解耦算法,并对解耦后的电功率控制回路设计了基于模糊算法的模糊比例积分微分(PID)控制器。仿真结果表明,利用前馈解耦算法与模糊算法相结合的方案有较好的解耦效果,并能有效优化AGC跟踪能力,提高系统控制性能。

In order to solve the thermoelectric coupling and non-linear problems of the generator set caused by the reform of heating extraction steam,and improve the automatic generation control(AGC)following ability of the system,a feedforward compensation decoupling algorithm for decoupling control is proposed.After decoupling the electric power control loop,a fuzzy proportion integration differentiation(PID)controller based on fuzzy algorithm is designed.The simulation shows that the combination of the feedforward decoupling algorithm and the fuzzy algorithm has a better decoupling effect and can effectively optimize the AGC tracking ability and improve the system control performance.