EPNES: Decentralized Resources and Decision-Making

EPNES：分散资源和决策

• 批准号: 0224837
• 负责人: Lester Lave
• 金额: $ 39.96万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0224837&HistoricalAwards=false
• 关键词: EPNES; Decentralized; Resources; Decision; Making

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.

0224837 Lavethe PIS研究在涉及大型电力网络的9个地区分发资源（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。 他们将采用研究来改善本科和研究生教育，并为工作专业人员提供培训。 研究领域是：分布式决策：使用经济理论和自主代理人在复杂系统（例如传输网格和微电网）中分散决策，以提高效率和可靠性。 ，以及DR的经济学，以了解如何优化电源系统配置以提高效率和生存能力。可靠性和安全性：使用先进的计算机建模方法来检查将DR引入当前和高级的电力系统的可靠性和安全性。 DR的空气质量和生命周期分析：量化DR对本地和区域空气质量的影响，并检查DR在其生命周期中的环境含义。DG和微电网：检查建立由DG提供动力的微电网对总能量使用的技术困难，可靠性，成本和安全性。结合标准：检查DR互连问题，例如对常规系统和盈利能力的影响。 一般监管环境：研究监管机构的行为如何加快或阻碍DR的引入和操作，例如Microgrid。系统：测试IEEE-PES测试床和公用事业系统中的研究。