CAREER: Reconfigurable, Multilayer, Intelligent Agent Based Control Paradigm for Electric Power Microgrids

职业：可重构、多层、基于智能代理的电力微电网控制范式

• 批准号: 0748032
• 负责人: Zhenhua Jiang
• 金额: --
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0748032&HistoricalAwards=false
• 关键词: CAREER; Reconfigurable; Multilayer; Intelligent; Agent

CAREER: Reconfigurable, Multilayer, Intelligent Agent Based Control Paradigm for Electric Power MicrogridsPROJECT ABSTRACTThe objective of this research is to investigate a reconfigurable, multilayer, intelligent agent-based control paradigm for microgrids that are smart aggregates of a strongly heterogeneous set of distributed energy resources (including distributed generation, energy storage and demand response units). The approach is to (1) identify a multilayer, multiagent-based control framework, (2) define the structure and behavioral functions of each layer, (3) develop interaction and decision-making capabilities for each agent, (4) develop adaptive reconfiguration algorithms for the multiagent based microgrid, and (5) demonstrate these concepts through multiagent system modeling and simulation studies. Intellectual Merit: This effort applies recent advances in the fields of multiagent system theory, decision theory, game theory, computational intelligence, and machine learning to address the control issues of distributed energy resources. This research has potential to create an entirely new field in the electric power engineering discipline and revolutionize the practice of this discipline through introducing new theories, technologies, and tools. Major contributions are expected pertaining to knowledge and understanding of large-scale, efficient deployment of renewable and alternative energy resources, and enable high penetration of distributed energy resources in existing energy infrastructures.Broader Impacts: The success of this research represents a breakthrough in building a more secure, reliable and sustainable energy infrastructure system, which will have a profound impact on every aspect of our economy and society. The tools and techniques under investigation will provide novel content for new courses, research topics, as well as hands-on learning opportunities for undergraduate and graduate students, especially for the large population of minority students, at the University of Miami. The creative aspects of this research will be used in outreach programs to cultivate students' enthusiasm in engineering.

职业：可重构，多层，基于智能代理的电力微电网控制范式项目摘要本研究的目的是研究一个可重构的，多层，基于智能代理的微电网控制范式，是一个强异构的分布式能源（包括分布式发电，储能和需求响应单元）的智能聚合体。该方法是（1）确定一个多层的，基于多Agent的控制框架，（2）定义每一层的结构和行为功能，（3）开发每个代理的交互和决策能力，（4）开发基于多Agent的微电网的自适应重构算法，（5）通过多Agent系统建模和仿真研究证明这些概念。智力优势：这项工作应用了多智能体系统理论，决策理论，博弈论，计算智能和机器学习领域的最新进展，以解决分布式能源的控制问题。这项研究有可能在电力工程学科中创造一个全新的领域，并通过引入新的理论，技术和工具来彻底改变这一学科的实践。预计主要贡献涉及对可再生能源和替代能源的大规模高效部署的知识和理解，并使分布式能源在现有能源基础设施中的高度渗透。这项研究的成功标志着在建立一个更安全、可靠和可持续的能源基础设施系统方面取得了突破，对我国经济和社会的各个方面都将产生深远的影响。正在调查的工具和技术将提供新的课程，研究课题，以及动手学习的机会，为本科生和研究生，特别是为少数民族学生的人口众多，在迈阿密大学的新内容。本研究的创新之处，将应用于外展计划，以培养学生对工程的热情。