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.

利用分布式可再生资源与电池储能相结合，在停电时提供一个独立的能源系统作为备用。当像1998年大冰暴这样的恶劣天气限制了加拿大偏远地区甚至大城市柴油发电机的燃料运输时，这些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（如可再生资源）的组合，它们在配电系统中相互连接。在并网运行模式下，微电网可以通过提供电网支撑来提高电网的弹性。通过电池技术的最新进展，独立操作已经成为可能，在电网因故障、恶劣天气事件和/或网络攻击而停电时，可以为医院、加油站和军事基地等关键负载提供可靠的电力供应。目前，具有模块化结构的电网电池储能是提高电网弹性的最快和最昂贵的解决方案之一。本项目首先旨在通过调查和定义量化指标来衡量有/没有电池储能的微电网的弹性，从而量化使用电池在避免停电损害成本方面获得的弹性水平。为了实现这一目标，考虑到微电网弹性对储能系统潜在投资的价值，将开发一种成本效益分析方法。这项研究的结果也将有助于确定微电网中合适的储能规模。为了有效地维护电池等昂贵的资产，本项目还旨在研究和开发在线预测电池健康状况监测方法，以估计微电网中电池系统的剩余使用寿命。挑战包括更高的热张力和不规则的部分/全部放电模式，这些都会对可靠性和维护计划产生不利影响。为了应对这些挑战，将采用先进的分析和统计方法来估计电池的健康和容量状态。