Equation-Free Approach to System-Level Dynamic Modeling in Electric Energy Processing

电力、控制和自适应网络东北大学aleksandar M. stankovice电能处理系统级动态建模的无方程方法本研究的目的是为能源处理系统开发一类新的建模和分析工具。该方法基于两层结构，其中使用计算机代码、查找数据或方程形式的较低级（组件）模型直接回答有关较高系统级别的问题，而不需要以方程形式的显式模型。智力优势：该项目为能源处理系统的多尺度鲁棒建模、分析和仿真开发了一个总体框架和特定工具。具体来说，该框架允许指定为计算机代码的模型，支持多级分析和模拟，在系统级别为数值性能提供“方程辅助”，并通过允许运行时测量输入来支持混合模拟器。更广泛的影响：该项目有助于系统和能源工程、控制和应用数学领域的知识统一。长期目标是提高对停电等复杂的全系统事件的理解和控制。基本思想将在本科阶段提出，以阐明模拟和测量在理解复杂系统中的互补作用，并为学生在技术领域和公共政策方面的领导角色做好准备。教育方面包括培养两名研究生，他们将参加专业会议并参与本科和研究生教学。将为能源工程的本科生、研究生和专业发展课程开设新的教学模块，并为大型能源系统的多尺度模拟和分析开设新的研究生课程。

Power, Control and Adaptive NetworksNortheastern UniversityAleksandar M. StankovicEquation-Free Approach to System-Level Dynamic Modeling in Electric Energy ProcessingThe objective of this research is to develop a new class of modeling and analysis tools for energy processing systems. The approach is based on a two-level structure in which lower-level (component) models in the form of computer code, lookup data or equations are used to directly answer questions about the higher system level without requiring explicit models in the form of equations.Intellectual Merit: The project develops an overall framework and specific tools for multi-scale robust modeling, analysis and simulation of energy processing systems. Specifically, the framework allows for models specified as computer code, enables multi-level analysis and simulation that is "equation-assisted" at the system level for numerical performance, and enables hybrid simulators by allowing for run-time measurement inputs.Broader Impact: The project contributes to unification of knowledge in the areas of system and energy engineering, controls, and applied mathematics. The long-term goal is to improve the understanding and containment of complex system-wide events such as blackouts. The underlying ideas are to be presented at the undergraduate level to illuminate the complementary roles of simulations and measurements in understanding complex systems and to prepare students for leadership roles in technical fields and in public policy. Educational aspects include training of two graduate students, who will attend professional meetings and participate in undergraduate and graduate teaching. New teaching modules for undergraduate, graduate, and professional development courses in energy engineering and a new graduate class on multi-scale simulation and analysis of large-scale energy systems are to be developed.