An Advanced Planning To Enhance Energy Storage Utilization

提高储能利用率的超前规划

• 批准号: 554556-2020
• 负责人: Zareipour, Hamidreza
• 金额: $ 2.19万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=704954
• 关键词: Advanced; Planning; Enhance; Energy; Storage

Energy storage systems add flexibility to electrical grids. Flexibility is a key enabler for large-scale integration of renewable energy resources (e.g., wind- and solar-powered electricity). In order to for Canada to reach its clean energy goals, more of such resources are necessary. However, they are variable and non-controllable and thus, if integrated in large scales, grid operators need flexibility resources to manage them. Lithium-ion battery energy storage systems are gaining momentum in grid applications. However, they are still expensive, and thus, properly sizing them is essential in making a business case for these systems. Even though there are some tools already available in the industry for energy storage sizing, they often ignore many practical complexities, leading to sub-optimal planning recommendations. In this project, an advanced planning tool for Lithium-ion battery energy storage systems (LiBESS) for behind-the-meter grid applications will be designed. The tool is intended to integrate advanced models for the physical performance of the battery, account for uncertainty in a long-term planning horizon (e.g., long-term electrify price variations), and facilitate multi-stage planning to take advantage of modularity of LiBESS. BluWave-ai is the industrial partner in this project with both cash and in-kind support. The partner has identified the need for such a tool based on its ongoing experience and engagements with developing and commissioning hybrid renewable energy systems.

储能系统增加了电网的灵活性。灵活性是大规模整合可再生能源（如风能和太阳能发电）的关键因素。为了使加拿大实现其清洁能源目标，需要更多的此类资源。然而，它们是可变的、不可控制的，因此，如果进行大规模整合，电网运营商需要灵活的资源来管理它们。锂离子电池储能系统在电网应用中势头强劲。然而，它们仍然很昂贵，因此，在为这些系统制作业务案例时，适当地调整它们的大小是必不可少的。尽管行业中已经有一些用于储能规模的工具，但它们往往忽略了许多实际的复杂性，导致次优规划建议。