数据驱动的电网频率动态模型
Data-driven model of the power-grid frequency dynamics
摘要：
能源系统正在迅速变化，以适应越来越多的可再生发电机和向更可持续的未来的普遍过渡。与此同时，商业模式和市场设计也在发展，影响着电网的运行和电网频率。这种持续的转变所提出的问题越来越多地通过跨学科的研究方法来解决，从纯粹的数学建模到应用案例研究。这些方法需要对消费者行为、可再生能源波动、市场规则以及它们如何影响电网频率稳定性进行随机描述。在这里，我们介绍了一个易于使用的，数据驱动的，随机模型的电网频率和演示它如何再现欧洲大陆和英国电网的观测统计数据的关键特征。我们提供可执行代码和指南，指导如何在任何电网上使用模型进行各种数学或工程应用。
英文摘要：
The energy system is rapidly changing to accommodate the increasing number of renewable generators and the general transition towards a more sustainable future. Simultaneously, business models and market designs evolve, affecting power-grid operation and power-grid frequency. Problems raised by this ongoing transition are increasingly addressed by transdisciplinary research approaches, ranging from purely mathematical modelling to applied case studies. These approaches require a stochastic description of consumer behaviour, fluctuations by renewables, market rules, and how they influence the stability of the power-grid frequency. Here, we introduce an easy-to-use, data-driven, stochastic model for the power-grid frequency and demonstrate how it reproduces key characteristics of the observed statistics of the Continental European and British power grids. We offer executable code and guidelines on how to use the model on any power grid for various mathematical or engineering applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
