Robust Tracking Commitment
Robust Tracking Commitment
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稳健的追踪承诺
DOI：
10.1109/tac.2017.2663766
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发表时间：
2017
影响因子：
6.8
通讯作者：
C. Jones
中科院分区：
文献类型：
--
作者：
Altug Bitlislioglu;Tomasz T. Gorecki;C. Jones
许多工程问题，涉及分层控制的应用，如需求侧辅助服务提供给电网，可以作为一个强大的跟踪承诺问题。在这种设置中，较低级别的控制器将有限范围内的一组可能的参考轨迹提交给外部实体，以换取与参考集的大小和允许的跟踪误差裕度相对应的奖励。如果承诺被接受，则要求较低级别的系统跟踪可以从承诺集合中采样的任何参考轨迹。本文提出了鲁棒跟踪承诺的框架，并给出了一种求解受不确定干扰和参考信号约束的线性系统最优承诺问题的方法。所提出的方法允许通过凸优化的圆锥表示的不确定性集的易处理的计算，并适合于分布式解决方案的方法。我们证明了所提出的方法在一个基于仿真的案例研究与商业建筑，提供频率调节服务的电网。
Many engineering problems that involve hierarchical control applications, such as demand-side ancillary service provision to the power grid, can be posed as a robust tracking commitment problem. In this setting, the lower level controller commits a set of possible reference trajectories over a finite horizon to an external entity in exchange for a reward corresponding to the size of the reference set and the allowed margin of tracking error. If the commitment is accepted, the lower level system is required to track any reference trajectory that can be sampled from the committed set. This paper presents the framework of robust tracking commitment and a method to solve the optimal commitment problem for constrained linear systems subject to uncertain disturbance and reference signals. The proposed method allows tractable computations via convex optimization for conic representable uncertainty sets and lends itself to distributed solution methods. We demonstrate the proposed method in a simulation based case study with a commercial building that offers frequency regulation service to the power grid.