Integration of Flexibility from Distributed Energy Resources: Mapping the Innovative Italian Pilot Project UVAM
Integration of Flexibility from Distributed Energy Resources: Mapping the Innovative Italian Pilot Project UVAM
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分布式能源的灵活性整合：绘制意大利创新试点项目 UVAM
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
A. Lorenzoni
中科院分区：
文献类型：
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作者：
J. M. Schwidtal;M. Agostini;F. Bignucolo;M. Coppo;P. Garengo;A. Lorenzoni
鉴于不断推进的能源转型和越来越多的间歇性可再生能源需要整合，来自分布式能源的灵活性将是关键。在这篇文章中，意大利的UVAM(Unita Virtuali Abilitate MISE，即虚拟聚合混合单元)项目是欧洲最大的用于这一目的的试点项目之一，在运营两年后进行了严格的审查和绘制。在全球层面和单个参与者层面上对试点进行了分析。基于对实际市场数据的广泛分析，确定了参与公司根据试点项目的设计获得能力的不同策略。在此基础上，给出了各参与单位在均衡市场上的具体竞价策略。此外，还描述了整个试点项目在报价和接受投标方面的市场整合情况。因此，全面的数据分析是未来电力市场建模的输入和基本构件。了解冠状病毒病2019年(新冠肺炎)大流行的具体数据，为未来高可再生能源情景提供洞察。根据分析结果，为旨在利用分布式资源的灵活性潜力的政策制定者和决策者设计了有价值的交付成果。
In light of the advancing energy transition and an increasing amount of intermittent renewable energy to be integrated, flexibility from distributed energy resources will be key. In this paper, the Italian UVAM (Unita Virtuali Abilitate Miste, i.e., virtually aggregated mixed units) project, one of the biggest pilots in Europe to serve this purpose, is critically reviewed and mapped after two years of operation. The pilot is analyzed on a global level as well as the individual participant level. Based on the extensive analysis of actual market data, different strategies of participating companies to obtain capacity in accordance with the pilot project’s design are identified. Furthermore, the specific bidding strategies of individual participating units on the balancing market are outlined. Alongside this, the overall pilot project’s market integration, in terms of offered and accepted bids, is depicted. The thorough data analysis, therefore, serves as an input and fundamental building block for future electricity market modeling. Comprehending specific data from the coronavirus disease 2019 (COVID-19) pandemic, provides insights for future high renewable-energy scenarios. Based on the analysis findings, valuable deliverables are devised for both policy-makers and decision-makers who aim to leverage the flexibility potential of distributed resources.