Stochastic optimisation for secure dynamic AC-load flow in hybrid multi-modal energy systems under uncertainty

在本项目中，受电网约束的资源，主要是电力，但也包括天然气和水，将在经济活动增加的世界中发挥关键作用，电网本身也将如此。对于它们的设计和运行，在数据不确定的情况下，决策的日益复杂提出了具有挑战性的优化问题，而解决这些问题的方法的进步是必不可少的。后者从正确处理风险、非线性和由此产生的模型的大销售性质的概念性工作开始。交流(AC)网络中的最优潮流(OPF)具有举足轻重的作用，因为它对于真实的建模是不可或缺的，而且在数学上也是有回报的。另一个关键方面是适当纳入由于来自可再生能源的挥发性投入而产生的外部不确定性。在计划进行的调查的核心中，制定了一个新的综合数学模型的适当框架和“工程价值”的量身定制方法，以支持对那些容易出现预测误差和不确定性的能源系统的研究。特别是，讨论了以下主题：随机事故管理、网络稳定性、可再生馈电不确定性下交流网络中的拥塞管理以及多模式能源系统中的风险规避。

Grid-bound resources, in the present project foremostly electricity, but also gas and water, will have a critical role in a world of increased economic activity, and so will the grids themselves. For their design and operation, the growing complexity of decision making under data uncertainty poses challenging optimisation problems for whose solution the advancement of the existing methodology is indispensable. The latter starts with conceptual work on the proper treatment of risk, nonlinearity, and the large-sale nature of resulting models. Optimal power flow (OPF) in alternate-current (AC) networks has a pivotal role, both since it is indispensable for realistic modeling and also mathematically rewarding. Another crucial aspect is the proper inclusion of external uncertainty due to volatile input from renewablesIn the core of the planned investigations there is the development of an appropriate framework of new integrated mathematical models and tailored methods of ``engineering value'' supporting research into those energy systems prone to forecast errors and uncertainty. In particular, the following topics are addressed:stochastic contingency management, network stability, management of congestions in AC networks under renewable infeed uncertainty, and risk aversion in multimodal energy systems are addressed.