论文标题
微电网的数据驱动的分布电压控制：一种基于库普曼的方法
Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach
论文作者
论文摘要
本文提出了分布式数据驱动的控制，以调节替代电流微电网（MG）中的电压。遵循MGS的层次控制框架，使用Koopman操作员采用数据驱动策略设计了电压的二级控制。 Koopman操作员方法表示电压的非线性行为是可观察到的空间或提起空间的线性问题。提升空间中的表示形式与线性共识一起使用以设计模型预测控制（MPC）。完整的算法在MG模型中证明，包括负载，传输线和通信图的变化。数据驱动的模型仅基于局部测量来调节电压，并包括反应性功率约束和控制成本最小化。
This paper presents a distributed data-driven control to regulate the voltage in an alternate current microgrid (MG). Following the hierarchical control frame for MGs, a secondary control for voltage is designed with a data-driven strategy using the Koopman operator. The Koopman operator approach represents the nonlinear behavior of voltage as a linear problem in the space of observables or lifted space. The representation in the lifted space is used together with linear consensus to design a model predictive control (MPC). The complete algorithm is proved in an MG model including changes in load, transmission lines, and the communication graph. The data-driven model regulates voltage using a distributed approach based only on local measurements, and includes reactive power constraints and control cost minimization.
