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The cellular approach: smart energy region Wunsiedel. Testbed for smart grid, smart metering and smart home solutions

机译:蜂窝方法:智慧能源区翁西德尔。智能电网,智能计量和智能家居解决方案的测试平台

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摘要

The ongoing transition from a conventional energy supply towards an energy system based on renewable sources requires fundamental changes to the energy infrastructure. In particular, the move from centralized towards distributed power generation significantly increases the demand for ICT-based management and control. Today ICT-based energy management is mostly purely central, making the critical infrastructure of power supply sometimes inflexible and potentially vulnerable to (cyber-) attacks. Addressing these challenges, the future grid requires high automation and distributed intelligence on field level being able to work independently from a central system. Distribution grids are often sparsely monitored and a system wide upgrade of measuring technology is associated with high costs. However, information about load behavior at the nodes of a grid is essential for grid state identification and load forecasting. This paper shows the concept of load balancing and the related IT architecture for monitoring and control of distributed energy systems, where smart metering and smart home technologies play a key role in the smart grid of the future. Readers are invited to contribute to the research work and field laboratory of the University of Bayreuth, which is operated by an innovative utility company in Bavaria.
机译:从常规能源供应到基于可再生资源的能源系统的持续过渡要求对能源基础设施进行根本性的改变。特别是,从集中式发电向分布式发电的转变显着增加了对基于ICT的管理和控制的需求。如今,基于ICT的能源管理基本上已经完全集中在中央,这使得电源的关键基础架构有时变得不灵活,并且可能容易受到(网络)攻击。为了应对这些挑战,未来的电网需要高度自动化和现场级别的分布式智能,以便能够独立于中央系统工作。配电网经常受到稀疏的监视,测量技术在系统范围内的升级会带来高昂的成本。但是,有关网格节点上负载行为的信息对于网格状态识别和负载预测至关重要。本文展示了负载均衡的概念以及用于监视和控制分布式能源系统的相关IT架构,其中智能电表和智能家居技术在未来的智能电网中将发挥关键作用。邀请读者为拜罗伊特大学的研究工作和实地实验室做出贡献,该实验室由巴伐利亚一家创新的公用事业公司运营。

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