EAGER: Fundamentals of Modeling and Control for the Evolving Electric Power System Architectures

EAGER：不断发展的电力系统架构的建模和控制基础知识

基本信息

批准号：
2002570
负责人：
Marija Ilic
金额：
$ 25万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-01 至 2023-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2002570&HistoricalAwards=false
关键词：
EAGER Fundamentals Modeling Control Evolving

项目摘要

The main objective of this project is to formalize ground-breaking general principles in support of investment planning and operating protocols for the changing electric energy systems. Having this is crucial for assessing effects of candidate hardware and software technologies and for creating an environment in which flexible technologies are utilized by complementing each other’s performance and by jointly meeting the societal needs. Since the performance of many technologies of interest greatly depends on how well they are integrated over time and stakeholders (system modules), an effective framework needs to support decisions that are data-enabled and interactive over time and among different system decision makers. In this project a complex dynamical systems point of view is taken which recognizes such distributed nature of decisions and introduces novel modeling, control and protocol principles in support of system integration in time and space. In sharp contrast with the lack of theoretically-provable performance in the evolving electric power system architectures, this project explores fundamentals and takes major steps toward solving this long-overdue problem. The most important impact will be on the way electric power industry architectures evolve. In particular, the project will catalyze the adoption of data-enabled decision making and automation. Notably, this approach will help educate students to think about emerging electric energy systems as complex dynamical systems for which much innovation is needed and possible. Results of this research will be disseminated through a workshop on design and control of complex energy systems. The next generation Supervisory Control and Data Acquisition (SCADA) can evolve based on protocols defined according to a dynamic monitoring, and decision system (DyMonDS) framework envisioned in this project. Such framework is crucial for assessing effects of candidate hardware and software technologies and for creating an environment in which technologies are integrated and utilized by complementing each other’s performance and by jointly meeting the societal needs. In this project a complex dynamical systems point of view is taken which recognizes such distributed nature of decisions and introduces novel modeling, control and protocol principles in support of temporal and spatial system integration. The main question is how to ensure stability and efficiency of these systems without increasing complexity of information management and consequent implications on cyber-security. Once principles for answering this complex question are formalized, it becomes possible to support selection of “right” technologies and for utilizing them based on data obtained through sensing, communications and control. To establish such principles and not radically change the industry, this project introduces a generalization of today’s Automatic Generation Control by the Balancing Authorities (BAs) which is fundamentally cooperative in nature. The interactions between BAs are managed by each area compensating its own Area Control Error (ACE) which is the net power imbalance contributed by both internal power deviations from schedules and by the tie-line flow deviations into the BA. This is a great example of distributed control through cooperation based on simple protocols of balancing ACE. In this project the ACE is generalized into a notion of an interaction variable (intVar) associated with each intelligent Balancing Authority (iBA). Notably, an intVar has a physical interpretation in terms of power and rate of change of power, but it is not restricted to the assumptions made by the industry today, and it allows for different unconventional architectures, such as small iBAs nested within the existing BAs. iBAs can be components or subsystems of diverse spatial and temporal granularity, and are technology agnostic; their specifications, modeling and interactive multi-layered control are in terms of an intVar common to all. This project targets specifically principles for protocols and enhanced standards for a general DyMonDS framework so that following this framework one can catalyze performance enhancements based on the PI’s recent finding that the intVar dynamics can be interpreted in terms of rates of exergy (potential to perform useful work) and anergy (wasted work).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目的主要目标是正式制定突破性的一般原则，以支持不断变化的电力能源系统的投资规划和运营协议，这对于评估候选硬件和软件技术的效果以及创建灵活的环境至关重要。技术的利用是通过相互补充性能并共同满足社会需求来实现的，因为许多感兴趣的技术的性能在很大程度上取决于它们随着时间的推移和利益相关者（系统模块）的集成程度，因此需要一个有效的框架来支持这些决策。随着时间的推移和不同人之间的数据启用和交互在这个项目中，采用了复杂的动态系统观点，它认识到决策的这种分布式性质，并引入了新颖的建模、控制和协议原理来支持系统在时间和空间上的集成，这与理论的缺乏形成鲜明对比。 -在不断发展的电力系统架构中可证明的性能，该项目探索了基本原理，并为解决这个迟来的问题采取了重大步骤，最重要的影响将是电力行业架构的发展方式，特别是，该项目将促进电力行业架构的发展。的值得注意的是，这种方法将有助于教育学生将新兴电力系统视为复杂的动力系统，需要大量创新，并且可能通过设计和控制研讨会来传播这项研究的结果。下一代监控和数据采集（SCADA）可以基于根据该项目设想的动态监控和决策系统（DyMonDS）框架定义的协议来发展。这种框架对于评估候选硬件的效果至关重要。和软件技术，并通过相互补充性能并共同满足社会需求来创建一个集成和利用技术的环境。在该项目中，采用了复杂的动态系统观点，该观点认识到决策的这种分布式性质并引入了新颖的建模，支持时间和空间系统集成的控制和协议原则是如何确保这些系统的稳定性和效率，而不增加信息管理的复杂性以及随之而来的对网络安全的影响。可以支持选择的“正确”技术，并根据通过传感、通信和控制获得的数据来利用它们。为了建立这些原则，而不是从根本上改变行业，该项目引入了当今平衡机构（BA）自动发电控制的概括。 BA 之间的相互作用是通过每个区域补偿其自身的区域控制误差 (ACE) 来管理的，ACE 是由计划内的内部功率偏差和进入 BA 的联络线流量偏差造成的净不平衡功率。是一个很好的例子通过基于平衡 ACE 的简单协议进行分布式控制。在该项目中，ACE 被概括为与每个智能平衡机构 (iBA) 相关的交互变量 (intVar) 的概念。值得注意的是，intVar 具有物理解释。功率和功率变化率，但它不限于当今业界制造的，并且它允许不同的非常规架构，例如嵌套在现有BA中的小型iBA可以是组件或。不同空间和时间粒度的子系统，并且与技术无关；它们的规范、建模和交互式多层控制都是通用的 intVar，该项目针对通用 DyMonDS 框架的协议和增强标准的具体原则。遵循这一框架，人们可以根据 PI 最近的发现来促进性能增强，即 intVar 动态可以用火用率（执行有用功的潜力）和无能率（浪费）来解释该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。