Energy Storage Prognostic and Management in Resilient Microgrids

弹性微电网中的储能预测和管理

• 批准号: 537906-2018
• 负责人: Khajehoddin, SayedAli
• 金额: $ 2.33万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=720394
• 关键词: Energy; Storage; Prognostic; Management; Resilient

Using distributed renewable resources combined with battery energy storage provides a self-contained energy system as a backup during power outage. Such solutions may even become vital when harsh weather like the Great Ice Storm of 1998 limits fuel transportation for diesel generators in remote areas in Canadian territories or even in large cities. A microgrid is a combination of loads and distributed resources such as renewable resources which are interconnected at the distribution power system. In a grid-tied operation mode, the microgrid can improve power grid resiliency by providing grid supports. Stand-alone operations has become feasible through recent advances in battery technologies, which enables reliable power supply to critical loads such as hospitals, gas stations, and military bases during grid power outage due to faults, severe weather events, and/or cyber-attacks to grid infrastructure. Currently, grid battery energy storages with modular structures are among the fastest and most expensive solutions for improving grid resiliency. This project first aims to quantify the level of resilience obtained by using batteries in terms of avoided damage costs of power outage by investigating and defining quantitative indicators to measure the resiliency of a microgrid with/without battery energy storage. To achieve this, a method will be developed for the cost-benefit analysis considering the value of microgrid resiliency for potential investment on energy storage systems. The result of this research will also help determine the appropriate size of energy storage in microgrids. To effectively maintain an expensive asset such as battery, this project also aims to investigate and develop on-line prognostic battery health condition monitoring methods for the estimation of remaining useful life of battery systems in microgrids. Challenges include higher thermal tensions and irregular partial/full discharge patterns, which adversely affect the reliability and maintenance schedules. To address these challenges, advanced analytical and statistical approaches will be used for the estimation of health and capacity states of batteries.

使用分布式可再生资源与电池能量存储相结合，可以在停电期间作为备份提供独立的能源系统。当像1998年的大冰风暴这样恶劣的天气限制了加拿大地区偏远地区甚至大城市的野生柴油发电机的燃料运输时，这种解决方案甚至可能变得至关重要。微电网是负载和分布式资源（例如可再生资源）的组合，这些资源在分销功率系统上相互联系。在网格绑定的操作模式下，微电网可以通过提供网格支撑来提高电网弹性。通过电池技术的最新进展，独立的操作变得可行，这可以为关键负荷提供可靠的电源，例如由于故障，严重的天气事件和/或网络攻击而导致网格电力停电期间的医院，加油站和军事基地，从而可以对网格基础设施。当前，带有模块化结构的网格电池能量存储是提高电网弹性的最快，最昂贵的解决方案之一。该项目首先旨在通过调查和定义定量指示器来量化电力中断的损坏成本来量化通过电池的损坏成本来量化弹性水平，以测量具有/没有电池能量存储的微电网的弹性。为了实现这一目标，考虑到微电网弹性对储能系统的潜在投资的价值，将开发一种用于成本效益分析的方法。这项研究的结果还将有助于确定微电网中适当的能量存储尺寸。为了有效地维护诸如电池之类的昂贵资产，该项目还旨在调查和开发在线预后电池健康状况监测方法，以估算微电池中电池系统剩余使用寿命。挑战包括更高的热张力和不规则的部分/完整排放模式，这会对可靠性和维护时间表产生不利影响。为了应对这些挑战，将使用先进的分析和统计方法来估计电池的健康和容量状态。