论文标题
具有分层控制的基于伪造者的微电网中的迭代学习控制
Iterative learning control in prosumer-based microgrids with hierarchical control
论文作者
论文摘要
由于可再生能源的进化量增加，电源系统会受到根本变化。考虑到发电的伴随权力下放，基于伪造者的微电网的概念为重新思考电力系统的结构和操作从头开始。在基于伪造物的微电网中，每个功率网状节点都可以将能量馈入电网并从网格中获取能量。该概念允许空间聚集，从而使微电网之间的相互作用也可以表示为基于生产者的微电网。 The contribution of this work is threefold: (i) we propose a decentralized hierarchical control approach in a network including different time scales, (ii) we use iterative learning control to compensate periodic demand patterns and save lower layer control energy and (iii) we assure asymptotic stability and monotonic convergence in the iteration domain for the linearized dynamics and validate the performance by simulating the nonlinear dynamics.
Power systems are subject to fundamental changes due to the increasing infeed of renewable energy sources. Taking the accompanying decentralization of power generation into account, the concept of prosumer-based microgrids gives the opportunity to rethink structuring and operation of power systems from scratch. In a prosumer-based microgrid, each power grid node can feed energy into the grid and draw energy from the grid. The concept allows for spatial aggregation such that also an interaction between microgrids can be represented as a prosumer-based microgrid. The contribution of this work is threefold: (i) we propose a decentralized hierarchical control approach in a network including different time scales, (ii) we use iterative learning control to compensate periodic demand patterns and save lower layer control energy and (iii) we assure asymptotic stability and monotonic convergence in the iteration domain for the linearized dynamics and validate the performance by simulating the nonlinear dynamics.
