基于协同传感器网络的动态热评级实验评估:来自H2020 OSMOSE项目的首批证据

D. Villacci, Luca Orrù, Fabia Gasparotto, A. Vaccaro, Gino Albimonti, Antonio Pepiciello
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引用次数: 2

摘要

H2020欧洲电力灵活性解决方案优化系统组合(Osmose)项目工作包5的主要目的是开发先进的能源管理系统(EMS),使输电系统运营商(tso)能够通过适当协调包括动态热评级(DTR)和需求侧响应(DSR)在内的创新灵活性资源,可靠地管理分布式可再生能源(RES)和电网拥堵。在这种情况下,Ensiel,一个活跃于电力系统研究的意大利大学联盟,开发了一种新的DTR解决方案,该解决方案基于自组织传感器网络,该网络由沿线路部署的协作智能节点组成,最终输出线路的负载性曲线。本文给出了将该方法应用于实际操作场景的首次实验结果,证明了该方法的改进性能和有效性。
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Experimental Assessment of Cooperative Sensors Network-based Dynamical Thermal Rating: the first evidences from the H2020 OSMOSE Project
The main purpose of the Working Package 5 of the H2020 Optimal System-Mix of flexibility Solutions for European electricity (Osmose) project is to develop an advanced Energy Management System (EMS), which allows the Transmission System Operators (TSOs) to reliably manage distributed Renewable Energy Sources (RES) and grid congestions, by properly coordinating innovative flexibility resources which include Dynamic Thermal Rating (DTR) and Demand Side Response (DSR). In this context, Ensiel, a consortium of Italian universities active in power systems research, developed a new DTR solution, which is based on a self-organizing sensor network composed by cooperative smart nodes deployed along the line route, having as final output the loadability curve of the line. This paper presents the first experimental results obtained by deploying this new DTR method on a real operation scenario, demonstrating the improved performance and effectiveness of the proposed method.
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