中国电机工程学报2013，Vol.33Issue(5)：79-85,前插12,8.
电力工业复杂系统模型预测控制——现状与发展
Present Situation and Prospect of Model Predictive Control Application in Complex Power Industrial Process
摘要
Abstract
Model predictive control(MPC) is a typical optimal control algorithm, which incorporates an explicit process model into the control calculation. The key to its popularity is its ability to take systematic account of process input, state and output constraints, thereby allowing processes to operate at the limits of achievable performance. Thus it has been a major concern in the complex power industrial control application. This paper overviews the new development of the model predictive control in the application of power plant production process control and power system automatic generation control. In power plant control, MPC has been widely used to realize the energy saving control in sub-systems, and the coordinated control to ensure a higher rate of load following capability without violating the thermal constraints. Also supervisory predictive control is used to further improve the plant-wide optimization. In power system automatic generation control (AGC), MPC is used to solve the generation rate constraint (GRC) problem, meanwhile to reduce wear and tear of generating unit's equipments. MPC can also assures compliance with control performance standards CPS1 and CPS2 set by NERC. Finally, the paper presents future research work both in theory and practice aspects.关键词
模型预测控制/电力生产过程/电厂控制/负荷频率控制Key words
model predictive control/ power plant production process/ power plant control/ load frequency control分类
信息技术与安全科学引用本文复制引用
刘向杰,孔小兵..电力工业复杂系统模型预测控制——现状与发展[J].中国电机工程学报,2013,33(5):79-85,前插12,8.基金项目
国家自然科学基金(60974051,61273144) （60974051,61273144）
北京市自然科学基金(4122071). （4122071）
