Energy Storage Prognostic and Management in Resilient Microgrids

将分布式可再生资源与电池储能相结合，可提供一个自给自足的能源系统，作为停电时的备用能源。当像1998年的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的柴油发电机的燃料运输时，这样的解决方案甚至可能变得至关重要。微电网是负荷和分布式资源(如可再生资源)的组合，它们在配电电力系统中相互连接。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，独立操作已成为可行的，该技术使医院、加油站和军事基地等关键负载在电网因故障、恶劣天气事件和/或对电网基础设施的网络攻击而停电时能够可靠地供电。目前，模块化结构的电网电池储能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量化指标来衡量有/没有电池储能的微电网的复原力，从而量化使用电池获得的复原力水平，以避免停电造成的损害成本。为了实现这一目标，将开发一种成本效益分析方法，考虑到微电网对储能系统潜在投资的弹性价值。这项研究的结果也将有助于确定微电网中适当的储能规模。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的方法，以估计电池系统在微电网中的剩余使用寿命。挑战包括更高的热紧张和不规则的局部/完全放电模式，这对可靠性和维护计划产生了不利影响。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。

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.