控制理论(社会学)
模型预测控制
控制器(灌溉)
控制工程
计算机科学
卡尔曼滤波器
灵敏度(控制系统)
观察员(物理)
工程类
控制(管理)
电子工程
物理
量子力学
人工智能
农学
生物
作者
Md Nasmus Sakib Khan Shabbir,Xiaodong Liang,Weixing Li,Syed Imtiaz,John E. Quaicoe
出处
期刊:IEEE Transactions on Industry Applications
[Institute of Electrical and Electronics Engineers]
日期:2022-09-01
卷期号:58 (5): 5860-5870
被引量:6
标识
DOI:10.1109/tia.2022.3181218
摘要
To realize operation automation in remote islanded microgrids, a model predictive control (MPC)-based distributed generation (DG) controller is proposed in Part 2 of this article. The developed data-driven predictive model in Part 1 of this article is implemented in Part 2 to realize the proposed MPC controller. The controller does not incorporate any tunable coefficients, and thus, is not sensitive to the system variations. Kalman filter-based state observer rejects measurement noises and updates the system model under varying system operation. The KWIK optimizer is used to solve the MPC's constrained quadratic programming problem as it ensures a guaranteed convergence. The proposed controller is smaller in size and does not require any intra-DG communication network. It also ensures proportional reactive power sharing despite feeder line impedance mismatch without requiring a secondary controller and a virtual impedance loop. The developed MPC controller is validated through case and sensitivity studies, showing excellent performance when compared with existing methods.
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