论文标题
数据驱动的风险预测状态和缓解措施支持净零碳电网
Data-driven State of Risk Prediction and Mitigation in Support of the Net-zero Carbon Electric Grid
论文作者
论文摘要
达到零碳电网的一种方法是加强分布式可再生生成资源的部署，例如光伏（PV）太阳能和风发电，并配有固定和移动（电动汽车）电池电量储能系统（BESS）。本文假定PV可再生一代和BES集成到纳米网格（N-Grid）中，该纳米网格（N-Grid）是一个安装在住宅或商业场所的虚拟虚拟发电厂。为了获得盈利，需要有效管理这种分布式能源资源（DER），以支持其自身的负载以及批发和零售市场服务。我们的论文介绍了一种基于风险的，数据驱动的方法，重点是预测公用事业电网中断的风险状态（SOR）。 SOR预测可以开发最佳缓解策略，旨在通过收获N网格灵活性来减少电网中断的影响。引入了几种数据分析工具，可帮助N网格操作员和聚合器参与N-Grid参与批发市场辅助服务产品，并证明了一些初步实施结果。
An approach for reaching the net-zero carbon electricity grid is to intensify the deployment of distributed renewable generation resources such as photovoltaic (PV) solar and wind generation, complemented with stationary and mobile (electric vehicle) battery energy storage systems (BESS). This paper assumes a scenario where the PV renewable generation and BESS are integrated into a nano-Grid (n-Grid), a prosumer-owned virtual power plant installed at the residential or commercial sites. To be profitable, this distributed energy resource (DER) needs to be managed effectively to support its own load and the wholesale and retail market services. Our paper introduces a risk-based, data-driven approach focused on predicting the State of Risk (SoR) of the utility grid outages. The SoR prediction enables the development of optimal mitigation strategies aiming at reducing the impact of the grid outages by harvesting the n-Grid flexibility. Several data analytics tools to assist the n-Grid operators and aggregators for n-Grid participation in the wholesale market ancillary service products are introduced, and some preliminary implementation results are demonstrated.
