欧洲案例研究:市场驱动的灵活性管理对分销系统的影响

Carlo Corinaldesi, A. Fleischhacker, L. Lang, J. Radl, D. Schwabeneder, G. Lettner
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引用次数: 10

摘要

分布式发电和消费的数量在全球范围内不断增长,因此也需要增加配电系统的承载能力。为实现这一目标,可能采取的措施包括建设新线路,加强电网基础设施,提高现有电网的效率。有几个项目提议将控制发电和需求侧管理(如太阳能光伏限电和管理灵活需求)作为增加电网承载能力的一项措施。通过信息和通信技术使用自动需求响应似乎是一个很有前途的解决办法,它可以在分配系统中迅速、经济有效地实施。自动化需求响应包括一系列旨在减少或转移电力使用以改善电网运行的活动。可以通过适当的激励措施鼓励发电机和消费者激活其灵活性,从而增加配电系统的承载能力。因此,智能电网技术有望在未来电力系统的发展中发挥重要作用。在本文中,我们提出了不同的欧洲案例研究的结果,这些研究调查了智能电网中市场驱动的自动化灵活性管理的影响。研究结果表明,自动化需求响应有助于提高配电系统的稳定性和可再生能源份额,但也需要高计算能力和复杂的协调架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
European Case Studies for Impact of Market-driven Flexibility Management in Distribution Systems
The amount of distributed generation and consumption is growing worldwide and consequently also the need to increase the hosting capacity of distribution systems. To achieve this, possible measures include building new lines, enhancing the grid infrastructure, and providing higher efficiency of the existing grid. Several projects propose to include the control of power generation and Demand-Side-Management, like solar photovoltaic power curtailment and managing flexible demand, as a measure to increase the hosting capacity of the grid. The use of automated demand response through Information and Communications Technologies seems to be a promising solution, which can be rapidly implemented cost-effectively in distribution systems. Automated Demand Response includes a set of activities aimed to reduce or shift electricity use to improve the grid operation. Generators and consumers may be encouraged by the right incentives to activate their flexibilities and consequently increase the hosting capacity of the electricity distribution systems. For this reason, smart grid technologies are expected to play an essential role in the development of future power systems. In this paper, we present the results of different European case studies, which investigated the impact of market-driven automated flexibility management in smart grids. The findings indicate that automated Demand Response can contribute to distribution system stability and increase the renewable energy share, but also requires high computational power and complex coordination architectures.
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