Role of energy storage in enhancing operation and stability performance of sustainable power systems (RESTORES)

RESTORES项目旨在汇集一个中英联合财团，该财团具有评估不同储能技术的潜在贡献所需的技能，以支持具有可再生间歇性和随机发电大量渗透的储能支持电力系统的成本效益的稳态和动态运行以及频率和角稳定性。这将涉及多种类型的电网规模储能系统的稳态、动态和过渡响应的表征和聚合，其中一个关键挑战是处理不确定性，并纳入与聚合储能充电/放电额定值随时间变化相关的跨时间依赖性。此外，我们将开展基础研究，首次将多时间尺度现象的发电调度，同时实现适当的鲁棒性的计划。重点是研究新的多层调度和调度模型，并集成伪动态约束，这是以前没有尝试过的。最后，我们将开发新的稳定性方法，用于根据发电机和存储技术对系统频率和角稳定性的贡献对它们进行排序，研究基于概率风险的稳定性评估新框架，这将首次证明，可持续系统的动态特征，确定分散存储技术的总体动态贡献，并为单个单元和储能技术集群开发基于本地和WAMS的阻尼控制器。该项目的结果将有助于防止社会因与可再生能源发电运行相关的空间和时间不确定性造成的不确定性而产生潜在的巨大成本和不适，并增加对未来电力系统满足社会和工业长期需求的能力的信心，因为电力系统的不确定性和风险水平增加。

RESTORES project seeks to bring together a joint UK-China consortium with the skills necessary to assess the potential contribution of different storage technologies to support cost-effective steady state and dynamic operation and frequency and angular stability of storage supported power system with large penetration of renewable intermittent and stochastic generation. This will involve characterisation and aggregation of steady-state, dynamic and transit responses of multiple types of grid-scale energy storage systems, with a key challenge of dealing with uncertainty and incorporation of inter-temporal dependencies associated with changes in aggregated storage charging / discharging ratings across time.Furthermore, we will carry out fundamental research to incorporate, for the first time, multi-time scale phenomena in generation scheduling while achieving appropriate robustness of schedules. The focus on the investigation of new multi-layer scheduling and dispatch models and integrate pseudo-dynamic constraints, which has not been attempted before.We will finally develop novel stability methodologies for ranking generators and storage technologies based on their contribution to system frequency and angular stability, investigate new framework for probabilistic risk based stability assessment, which will characterise, for the first time, dynamic signature of sustainable systems, identify aggregate dynamic contribution of dispersed storage technologies and develop local and WAMS based damping controllers for individual units and clusters of energy storage technologies. The results of the project will contribute to preventing society from incurring potentially huge costs and discomfort due to uncertainties resulting from spatial and temporal uncertainty associated with the operation of renewable generation and increase confidence in the future power system's ability to satisfy the long term needs of society and industry, as the level of uncertainty and risk in the power system increases.