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

电力、控制与自适应网络东北大学Aleksandar M.基于Stankovic方程的电能处理系统级动态建模本研究的目的是开发一种新的能源处理系统建模和分析工具。 该方法是基于一个两级结构，其中较低级别（组件）的计算机代码，查找数据或方程的形式的模型被用来直接回答有关较高的系统级别的问题，而不需要显式模型的形式equation.Intellectual优点：该项目开发了一个整体框架和具体的工具，多尺度的强大的建模，分析和模拟的能量处理系统。 具体而言，该框架允许指定为计算机代码的模型，使多层次的分析和模拟，这是“方程辅助”在系统级的数值性能，并允许运行时的测量输入，使混合模拟器。更广泛的影响：该项目有助于统一的知识领域的系统和能源工程，控制和应用数学。 长期目标是提高对停电等复杂系统性事件的理解和遏制。 基本思想是在本科阶段提出的，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中的领导角色做好准备。 教育方面包括培训两名研究生，他们将参加专业会议并参加本科和研究生教学。 将开发能源工程本科生、研究生和专业发展课程的新教学模块，以及大型能源系统多尺度模拟和分析的新研究生课程。

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.