论文标题
分布网络中异质资源的网格感知分布式模型预测控制：理论和实验验证
Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation
论文作者
论文摘要
在本文中，我们建议并通过实验验证分布式能源（DERS）的调度和控制框架，该框架可以追踪分布网络的日常调度计划，该计划托管可控和随机的异质资源，同时尊重局部网格限制在节点电压和线路上的局部网格约束。该框架由两个算法层组成。在第一个（日前的日程安排）中，我们确定了一个汇总的调度计划。在第二层（实时控制）中，分布式模型预测控制（MPC）确定了DERS的主动和反应性功率设定点，以便其汇总贡献跟踪调度计划，同时遵守DERS操作约束以及网格。在实验中，在实验上验证了所提出的框架，该框架在重现CIGRE微电网测试系统的网络规范的实际尺度微电网上进行了验证。
In this paper, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous resources while respecting the local grid constraints on nodal voltages and lines ampacities. The framework consists of two algorithmic layers. In the first one (day-ahead scheduling), we determine an aggregated dispatch plan. In the second layer (real-time control), a distributed model predictive control (MPC) determines the active and reactive power set-points of the DERs so that their aggregated contribution tracks the dispatch plan while obeying to DERs operational constraints as well as the grids ones. The proposed framework is experimentally validated on a real-scale microgrid that reproduces the network specifications of the CIGRE microgrid benchmark system.
