Optimal utilization of energy storage in distribution systems

风能和太阳能是清洁和安全的能源，但它们是间歇性的：它们的电力输出很难被 预测和控制。能源储存可以至关重要地吸收可再生能源的不稳定性， 电力系统的整体性能。特别地，存储器可以提供多种服务，诸如负载、数据传输、数据传输和数据传输。 移位、调节和电压支持。有效地利用能量存储是一个复杂的控制问题， 要求新的算法（i）同时提供多个服务与一个单一的存储，和（ii）做 因此，以协调、分散的方式使用多个存储。这一及时的申请将提供 资源的一个新的研究伙伴关系，与领先的电力公司，目前正面临上述两个 挑战具体而言，该提案旨在构建易于处理的，严格的算法工具，以提供 具有许多地理上分布的能量存储设备的多个服务。所提出的方法 利用了凸优化的强大技术和控制方面的最新进展，包括 稀疏促进分散控制。拟议工作的结果将使加拿大的公用事业和 在全球范围内充分利用能源存储，实现经济高效的利用和未来投资。

Wind and solar are clean and secure energy sources, but are intermittent: their power outputs are difficult to predict and control. Energy storage can crucially absorb renewable energy intermittency and enhance the overall performance of power systems. In particularly, storage can provide multiple services such as load shifting, regulation, and voltage support. Effectively utilizing energy storage is a complex control problem that calls for new algorithms for (i) simultaneously providing multiple services with a single storage, and (ii) doing so with multiple storages in a coordinated, decentralized fashion. This timely application will provide the resources for a new research partnership with a leading electrical utility that is currently facing the above two challenges. Specifically, this proposal aims to construct tractable, rigorous algorithmic tools to providing multiple services with many geographically distributed energy storage devices. The proposed approach leverages powerful techniques from convex optimization and recent advances in control, including sparsity-promoting decentralized control. The results of the proposed work will enable utilities in Canada and worldwide to fully leverage energy storage, enabling cost-efficient utilization and future investment.