Congestion Management in Italian HV grid using novel Dynamic Thermal Rating methods: first results of the H2020 European project Osmose

D. Villacci, Fabia Gasparotto, Luca Orrù, P. Pelacchi, D. Poli, A. Vaccaro, G. Lisciandrello, G. Coletta
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引用次数: 6

Abstract

The Italian demo of the H2020 Osmose project, which stands for Optimal System-Mix Of flexibility Solutions for European electricity, is led by Terna and aims at developing a novel Energy Management System (EMS), which allows managing distributed Renewable Energy Sources (RES) and severe grid congestions. This is obtained by properly coordinating innovative flexibility resources which include Dynamic Thermal Rating (DTR) and Demand Side Response (DSR). The DTR methods proposed under this framework have been developed by Ensiel, a consortium of Italian universities active in power systems research. These solutions include a sensor-based method, based on a self-organizing sensor network composed by cooperative smart nodes deployed along the line route, and a weather-based technique, based on a thermo-mechanical model of the monitored line. The main features of these advanced solutions are described in this paper, and the first experimental results obtained on real case studies are presented and discussed in order to prove their effectiveness.
意大利高压电网中使用新型动态热评级方法的拥塞管理:H2020欧洲项目Osmose的初步结果
H2020 Osmose项目的意大利演示,代表了欧洲电力的最佳系统组合灵活性解决方案,由Terna领导,旨在开发一种新的能源管理系统(EMS),该系统可以管理分布式可再生能源(RES)和严重的电网拥堵。这是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来实现的。在这个框架下提出的DTR方法是由Ensiel开发的,Ensiel是一个活跃于电力系统研究的意大利大学联盟。这些解决方案包括基于传感器的方法,该方法基于由沿线路部署的协作智能节点组成的自组织传感器网络,以及基于天气的技术,该技术基于被监测线路的热力学模型。本文描述了这些先进解决方案的主要特点,并给出了实际案例的初步实验结果,以证明其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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