New optimization techniques to integrate storage and renewable energy in the power network

自20世纪中叶以来，由于工业发展和人口增长，全球能源需求持续上升。发展可再生能源已成为跟上日益增长的需求和限制温室气体排放的优先事项。然而，可再生能源的广泛采用受到其缺点的限制，即发电不连续，这可能导致供需失衡和电网拥堵。克服这些问题的一个关键战略是实施智能管理系统并在配电网络中引入灵活性。许多技术领域的最新发展在实现更智能电网方面取得了重要进展。这包括a)先进的监测、通信和控制基础设施；b)储能资源；以及c)车辆对电网系统，这是一个很有希望的电力灵活性来源。这项研究计划将通过开发数学优化模型和算法来解决后两个问题，以允许将固定和移动储能整合到能源网络中，从而提高电网的可靠性并减少相关的不确定性。

Global energy demand has continued to rise since the mid-20th century as a result of industrial development and population growth. The development of renewable energy sources has become a matter of priority to keep up with increasing demand and to limit greenhouse gas emissions. However, the widespread adoption of renewable energy has been limited by its drawbacks, namely, the discontinuity of generation which can lead to demand-supply imbalances and grid congestions. A key strategy to overcome such issues is implementing intelligent management systems and introducing flexibility in the distribution network. Recent developments in a number of technological areas have made important strides toward the realization of a smarter grid. These include a) advanced monitoring, communication and control infrastructure; b) energy storage resources; and c) vehicle-to-grid systems, which represent a promising source of electrical flexibility. This research program will address the last two items by developing mathematical optimization models and algorithms to allow the integration of stationary and mobile energy storage into the energy network, thus enhancing grid reliability and reducing associated uncertainties.