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

0001343 Heydt这是一个电力工程的拟议项目。 主要推力是先进的数学工具在电力系统元件和负荷建模领域的应用。 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力系统测量的冷凝和处理。工作的一个目标是提高模型的精度。 在放松管制的环境中使用这些模型，提出了管理电力系统的运行风险，同时最大限度地提高经营收入。 当然，在电力系统的主流运行中，也需要精确的模型，调节或解除调节，用于稳定性研究，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。 由于数学模型的水平是复杂的，该项目的一部分是准备这些方法在一种形式，适合可视化的电力系统operators.The项目包含一个教育组件，其中包括本科生的研究经验，电力负荷和组件建模的网站的开发，和研讨会/会议的研究人员和学生来自墨西哥和美国的。 该网站的目的是让学生和实践工程师了解先进建模技术的能力。 就电力工程专业的学生而言，其目标是吸引高素质人才进入该领域。 在实践工程师的情况下，PI希望为他们提供工具，以便他们可以利用他们掌握的数据。

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.