Two-parameter Kautz network-based LTV-MPC for non-linear standalone micro-grid control

被引:2
作者
Puvvula, Vidyasagar [1 ]
Verma, Pranjal Pragya [1 ]
Kesanakurthy, Shanti Swarup [1 ]
机构
[1] Indian Inst Technol, Dept Elect Engn, Chennai, Tamil Nadu, India
关键词
distributed power generation; predictive control; optimal control; time-varying systems; quadratic programming; approximation theory; linear systems; linear programming; nonlinear control systems; parameter Kautz network-based LTV-MPC; nonlinear standalone microgrid control; linear time-variant model; centralised control; nonlinear standalone microgrids; prediction horizon; microgrid model; LTV model; forced response; natural response; nonlinear model; input reference trajectories; optimal control problem; complete predicted response; quadratic programming problem; nonconvex nonlinear programming problem; optimal control trajectories; control horizon; two-parameter orthonormal Kautz networks; LTV-MPC design; control trajectories approximation; LTV-MPC performance; standalone eight bus microgrid; MPC designs; MODEL-PREDICTIVE CONTROL; FREQUENCY CONTROL; VOLTAGE; OPERATION; ROBUST; GENERATORS; INVERTERS; SYSTEM;
D O I
10.1049/iet-rpg.2019.1374
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study proposes a novel linear time-variant model predictive controller (LTV-MPC) for the centralised control of non-linear standalone micro-grids. At each sample, within the prediction horizon, LTV-MPC linearises the non-linear micro-grid model around the state and input reference trajectories resulting in a linear time-variant (LTV) model. The LTV model is used for predicting the forced response of the micro-grid. The natural response is predicted by solving the non-linear model along the state and input reference trajectories. An optimal control problem for the LTV-MPC is formulated using the complete predicted response, which is a quadratic programming problem instead of a non-convex non-linear programming problem. The quadratic programming problem is solved online at each sample to generate the optimal control trajectories within the control horizon. The study recommends the use of two-parameter orthonormal Kautz networks in the LTV-MPC design for the control trajectories approximation. The approximation drastically reduces the number of optimising variables in the optimal control problem without compromising LTV-MPC performance. A standalone eight bus micro-grid with one synchronous distributed generator (DG) and one photovoltaic-DG is considered for the analysis. The LTV-MPC performance is assessed for the different load disturbance and source intermittency scenarios. The results are compared with the existing MPC designs.
引用
收藏
页码:2221 / 2231
页数:11
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