Distributed Dynamic Security Control:Continuation of project within SPP1984

确保复杂能源系统的安全可靠运行是现代工业社会良好运转的最基本任务之一。在过去十年中，经营环境以前所未有的速度发生了变化，突显出需要从根本上重新考虑该行业几乎所有领域所采用的做法。在这方面，最关键的方面之一是，与大规模整合间歇性可再生能源有关的不确定性增加将如何影响高度整合的结构中系统安全的定义、评估和提供。现有的电力系统建模、优化和控制方法主要存在于依赖于假设的解决方案，而这些假设越来越受到行业本身的质疑。例如，可再生能源发电的迅猛发展和通信技术的进步带来了深刻的变化。为了应对预期的技术挑战并应对不断变化的监管模式，本项目的目标是创建一套专门的新系统理论计算方法，以便对电力系统进行分布式安全评估和加强。考虑到对未来快速通信可用性的预测，以及依赖于管理微分代数方程组的专用描述符格式，所提出的方法形成了一个可扩展的自适应框架，称为DistDSA。后者适用于垂直和水平集成的异质电力系统的部署及其近实时运行。由于结构保持模型降阶的计算阶段，DistDSA首次以纯形式和近似形式在线以分布式方式优化短期机电系统动力学。这些方法旨在反映在下一代电力系统中多边提供系统安全的呼声。

Ensuring secure and reliable operation of complex energy systems represents one of the most essential tasks for the well-functioning of modern industrial societies. The unprecedented pace at which the operating environments have changed during the last decade highlights the need for fundamental reconsideration of adopted practices in almost all parts of the industry. In this context, one of the most critical aspects represents the way how the increased levels of uncertainty related to large-scale integration of intermittent renewable energy sources would affect the definition, evaluation, and provision of system security in highly integrated structures near real time. The existing approaches for modeling, optimization, and control of electrical power systems mainly consist in solutions relying on assumptions that are increasingly questioned by the industry itself. For example, profound changes develop through the dramatic rise of renewable power generation and the advances in communication technology. In order to account for the expected technical challenges and also to respond to changing regulatory paradigms, the present project aims at the creation of a dedicated set of novel system-theoretic computational methods towards distributed security assessment and enhancement of power systems. Taking into account predictions regarding the future availability of fast communication and in addition relying on a specialized descriptor format managing the set of differential- algebraic equations, the proposed methods form a scalable and adaptive framework called DistDSA. The latter is to be suitable for deployment in vertically and horizontally integrated heterogeneous power systems and their operation near real time. Thanks to a computational stage of structure-preserving model order reduction, DistDSA for the first time optimizes short-term electromechanical system dynamics online and in a distributed way in their pure and approximated forms. The methods are designed to reflect the call for a multilateral provision of system security in electrical power systems of the next generation.