Power Engineering Load / Component Modeling Using Advanced Concepts Of Dynamic Systems and Data Mining for Risk Management

使用动态系统和数据挖掘的先进概念进行电力工程负载/组件建模以进行风险管理

• 批准号: 0001343
• 负责人: Gerald Heydt
• 金额: $ 7.1万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-15 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0001343&HistoricalAwards=false
• 关键词: Power; Engineering; Load; Component; Modeling

0001343HeydtThis is a proposed project in electric power engineering. The main thrust is the application of advanced mathematical tools in the area of power system component and load modeling. The project spans five researchers at three universities; two universities are in Mexico and one in the United States. The emphasis is on the condensation and processing of time series recorded electrical system measurements for power system load and component models. A goal of the work is the enhancement of model accuracy. The use of these models in a deregulated environment is proposed to manage power system operating risk while maximizing operating revenues. Of course, accurate models are also needed in the mainstream operation of power systems, regulated or deregulated, for such tasks as stability studies, reliability analysis, system loading, and control of power flow. The main methods to be studied are: symbolic analysis, blended models, data mining, and risk management. Because the level of mathematical models is complex, part of the project is to prepare these methods in a form suitable for visualization by power system operators.The project contains an educational component which includes a research experience for undergraduates, development of a web site on electrical load and component modeling, and a workshop/meeting for researchers and students from both Mexico and the USA. The intent of the website is to acquaint students and practicing engineers alike on the capabilities of advanced modeling techniques. In the case of power engineering students, the goal is to attract highly qualified persons to the field. In the case of practicing engineers, the PI would like to provide to them tools so that they can utilize the data at their disposal.

这是电力工程方面的一个拟建项目。主要推力是先进的数学工具在电力系统组件和负载建模领域的应用。该项目涉及三所大学的五名研究人员；两所大学在墨西哥，一所在美国。重点是电力系统负荷和组件模型的时间序列记录的电气系统测量的凝聚和处理。该工作的一个目标是提高模型的精度。建议在放松管制的环境中使用这些模型来管理电力系统的运行风险，同时最大化运营收入。当然，在电力系统的主流运行中，无论是监管还是放松监管，都需要精确的模型来完成稳定性研究、可靠性分析、系统负荷和潮流控制等任务。研究的主要方法有：符号分析、混合模型、数据挖掘和风险管理。由于数学模型层次复杂，将这些方法编制成适合电力系统操作人员可视化的形式是项目的一部分。该项目包含一个教育部分，其中包括本科生的研究经验，开发一个关于电力负荷和组件建模的网站，以及为来自墨西哥和美国的研究人员和学生举办的研讨会/会议。该网站的目的是让学生和实习工程师熟悉先进建模技术的能力。就动力工程专业的学生而言，目标是吸引高素质的人才进入该领域。在实践工程师的情况下，PI希望为他们提供工具，以便他们可以利用自己的数据。