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人工智能拓展火灾安全研究的进展
From The Sky To The Sea
清华大学材料科学与工程研究院《材料科学论坛》:基于拓扑缺陷理论的轻合金组织设计新...
Quantum information processing based on bosonic modes
报告题目:
1. Operational Reliability: Beyond the deterministic N-1 criterion 2. Flexibility in Power Systems
 报告人:
Prof. Daniel Kirschen
University of Washington, Seattle, WA, USA
报告时间:
2014-09-04 09:00
报告地点:
清华大学西主楼3区102
主办单位:
清华大学电机系
  简介:

报告题目:
1. Operational Reliability: Beyond the deterministic N-1 criterion
2. Flexibility in Power Systems
报 告 人: Prof. Daniel Kirschen
University of Washington,
Seattle, WA, USA
报告时间: 2014年9月4日,
星期四,上午9:00
报告地点: 清华大学西主楼3区102
主办单位: 清华大学电机系
联 系 人: 康重庆

报告内容
1. Operational Reliability: Beyond the deterministic N-1 criterion
Abstract: This presentation will start with a discussion of the advantages and disadvantages of the conventional operational reliability criteria. We will then discuss some of the work that has been done on probabilistic approaches to operational reliability. We will close with a discussion of the causes of major blackouts and what can be done to reduce their probability.
2. Flexibility in Power Systems
Abstract: The stochastic nature of renewable energy sources, such as wind and solar, introduces a new form of uncertainty in power system operation. A standard answer to concerns about this increase in uncertainty is that the system should become more “flexible”. However, there is as yet no agreement on exactly how much flexibility is needed or even a commonly accepted measure of flexibility. There is agreement on the fact that flexibility has a cost and that this cost should be minimized in a way that does not affect reliability or the ability to integrate renewable energy sources.  This presentation will explore the short-term (i.e. operational) and long-term (i.e. investment) aspects of providing flexibility using conventional generation sources, storage and demand response.


报告人简介
       Daniel Kirschen is the Donald W. and Ruth Mary Close Professor of Electrical Engineering at the University of Washington. His research focuses on smart grids, the integration of renewable energy sources in the grid, power system economics and power system security. Prior to joining the University of Washington, he taught for 16 years at The University of Manchester (UK). Before becoming an academic, Daniel worked for Control Data at Siemens on the development of application software for utility control centers. He holds a PhD and MS from the University of Wisconsin and an Electro-Mechanical Engineering degree from the Free University of Brussels (Belgium).
      He is an Editor of IEEE Transactions on Power Systems, and Fellow of the IEEE.

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