论文标题
多能动力系统的建模和控制：脱碳的隐藏路径
Modeling and Control of Multi-Energy Dynamical Systems: Hidden Paths to Decarbonization
论文作者
论文摘要
本文指出了当今的建模和控制层级电力系统操作和计划的一些关键缺点，因为隐藏的障碍在脱碳的路上。我们建议可以通过增强当今的信息交流和控制来克服这些问题。这可以通过揭示和利用复杂物理系统的固有结构保护特征来完成，并通过建立多层能量建模来完成。每个模块（组件，控制区域，非实用性拥有的实体）都可以根据其交互变量来表征，并且可以使用更高级别的模型来了解不同模块之间的相互作用动力学。一旦理解了结构，我们就提出了这些模块的非线性能量控制，该模块支持馈送自动适应以确保可行的互连系统。基于这些技术不可知的结构，有可能将当今的平衡当局（BA）扩展到多层互动智能平衡机构（IBAS），并引入协议，以灵活利用各种技术，超过了广泛的时间和空间条件。
This paper points out some key drawbacks of today's modeling and control underlying hierarchical electric power system operations and planning as the hidden roadblocks on the way to decarbonization. We suggest that these can be overcome by enhancing today's information exchange and control. This can be done by revealing and utilising inherent structure-preserving features of complex physical systems, and, based on this, by establishing multi-layered energy modeling. Each module (component, control area, non-utility-owned entities) can be characterized in terms of its interaction variable, and higher level models can be used to understand the interaction dynamics between different modules. Once the structure is understood, we propose nonlinear energy control for these modules which supports feed-forward self-adaptation to ensure feasible interconnected system. Based on these technology agnostic structures it becomes possible to expand today's Balancing Authorities (BA) to multi-layered interactive intelligent Balancing Authorities (iBAs) and to introduce protocols for flexible utilization of diverse technologies over broad ranges of temporal and spatial conditions.
