EPNES: Decentralized Resources and Decision-Making

0224837 LavePI研究涉及大型电网的九个地区的分布式资源(DR)。我们的方法是跨学科的，涉及电气工程、经济学和政策分析。他们将应用他们的研究来改善本科生和研究生教育，以及为在职专业人员提供培训。研究领域包括：分布式决策：使用经济理论和自治主体分散复杂系统的决策，如输电网和微电网，以提高效率和可靠性。灾难恢复的工程经济学：研究灾难恢复的工程设计、操作和经济学，以了解如何优化电力系统配置，以实现效率和生存能力。可靠性与安全性：利用先进的计算机建模方法，研究将灾难恢复引入当前和先进电力系统的可靠性和安全性影响。DR的空气质量和生命周期分析：量化DR对当地和区域空气质量的影响，并研究DR在其生命周期中对环境的影响。DG&amp；微电网：研究建立由DG供电的微电网在总能耗、可靠性、成本和安全性方面的技术困难。互联标准：研究DR互联问题，例如对传统系统和盈利能力的影响。一般监管环境：研究监管机构的行动如何加速或阻碍DR的引入和运行，例如微电网。技术的其他应用：检查DR对小规模系统的影响，例如船舶上的电力系统。基准测试系统：在IEEE-PES试验台和公用事业系统中测试研究。教育：为研究生和研究生课程设计新的课程和教学模块，并开发向从业者传播这项研究的新材料。

0224837LaveThe PIs study distributed resources (DR) in nine areas involving large electricity networks. Our approach is interdisciplinary, involving electrical engineering, economics, and policy analysis. They will apply their research to improve undergraduate and graduate education, as well as provide training for working professionals. The research areas are:Distributed Decision-Making: Use economic theory and autonomous agents to decentralize decision making in complex systems, such as transmission grids and micro-grids, to increase efficiency and reliability.Engineering-Economics of DR: Study engineering design, operation, and economics of DR to understand how to optimize power system configuration for efficiency and survivability.Reliability & Security: Examine the reliability and security implications of introducing DR into current and advanced electric power systems with advanced computer modeling methods. Air Quality & Life Cycle Analysis of DR: Quantify the implications of DR for local and regional air quality and examine the environmental implications of DR over its life cycle.DG & Microgrids: Examine the technical difficulties of establishing microgrids powered by DG on total energy use, reliability, cost, and security.Interconnect Standards: Examine DR interconnection issues, e.g., implications for conventional systems and profitability. General Regulatory Environment: Study how the actions of regulators expedite or impede the introduction and operation of DR, e.g., microgrids.Other Applications of the Technology: Examine the implications of DR for small-scale systems, e.g., power systems on ships.Benchmarking Test Systems: Test the research in IEEE-PES testbeds and utility systems.Education: Design new courses and teaching modules for graduate & undergraduate course and develop new material for disseminating this research to practitioners.