Real-Time Distributed Optimisation of Dualed Transport & Electrical Networks

电动汽车的引入为基础设施规划和运营带来了广泛的新挑战，特别是如果电网电力将由可再生能源提供动力。例如，为了实现基于电网或专用线电池存储系统中的充电/放电曲线的优化、自动化控制，此类系统将需要从运输网络提取的大量信息和预测数据。类似地，为了优化电动/零排放车辆的路线，路线系统将需要从电力或氢燃料网络中提取的大量信息和预测数据。在某些情况下，两个网络可能需要同时优化。因此，我们的愿景是提供一个完全集成的实时运输-电-氢网络仿真和优化引擎，使复杂的优化能够在这些多个网络中运行，从而为新的运输集成电/氢系统提供最具成本效益的规划和运营。

The introduction of electric vehicles presents extensive new challenges for infrastructure planning and operation, in particular if the grid electricity is to be powered by renewables. For example, to enable optimised, automated control of charge/discharge profiles in grid-based or private wire battery storage systems, such systems will require extensive information and predictive data drawn from the transport network. Similarly, to optimise routing of electric/zero emission vehicles, routing systems will require extensive information and predictive data drawn from the electrical or hydrogen fueling network. In some cases, both networks may need to be optimised simultaneously.Our vision is therefore to provide a fully integrated, real-time transport-electric-hydrogen network simulation and optimisation engine to enable complex optimisations to be run across these multiple networks to deliver the most cost-effective planning and operation of new transport-integrated electrical/hydrogen systems.