控制理论(社会学)
模型预测控制
扰动(地质)
偏移量(计算机科学)
非线性系统
电力系统
可再生能源
观察员(物理)
自动频率控制
预测能力
计算机科学
功率(物理)
工程类
控制(管理)
电信
物理
人工智能
古生物学
电气工程
程序设计语言
生物
量子力学
作者
Nuvvula S. S. Ramakrishna,Tummala S. L. V. Ayyarao,Vasupalli Manoj,L. Dinesh
出处
期刊:Springer eBooks
[Springer Nature]
日期:2022-01-01
卷期号:: 513-524
标识
DOI:10.1007/978-981-16-9033-4_38
摘要
AbstractPower systems experience high load frequency changes as a result of increasing renewable energy additions and fluctuating demand levels. Model predictive control (MPC) for automatic generation control (AGC) in power systems is proposed using an observer for nonlinear disturbances (NDO). Load disturbances and un-modeled nonlinearities which adversely affect the output prediction in MPC are considered as a net disturbance, and it is estimated using a NDO. An offset-free MPC control law is obtained by optimizing the receding-horizon stage with the predicted disturbance. Power systems with single-area and three-area distribution are subjected to this proposed approach of frequency regulation, which has been shown to be effective in simulations.KeywordsAGCLoad frequency regulatorModel predictive controlDisturbance observer
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