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AIR学术沙龙第36期|人工智能医疗保健和虚拟世界的可穿戴传感器和触觉技术
先立后破?实现双碳目标
迎接生物药制造的第四次浪潮-
支撑未来海量资源接入,电力系统通用信息模型(CIM)发展探讨
报告题目:
Large-Scale Wind Generation Modeling and its Applications
 报告人:
John Ning Jiang(姜宁)
Dr. Professor(University of Oklahoma)
报告时间:
2008-10-23 10:00
报告地点:
清华大学西主楼3区102
主办单位:
清华大学电机系电力系统研究所
  简介:

The joint distribution of load-wind generation is modeled by a generic dependency matrix, which can be readily used in contingency analysis. The dependency matrix can be used with the conventional deterministic contingency analysis method based on the DC power flow study so that the joint-probability of load and wind generation can be incorporated, and the system security level on the line overloading can be descried probabilistically. The resultant probability distribution of the system security level can be used for making informed decision. The minimum expected security index criteria is used for decision support. Through case studies, a number of issues are discussed including the impact of the correlation on the system security, the location of FACTS device, capacity constraints, and etc. As a special case, a probabilistic approach is presented that can be used for the decision of the optimal location of Flexible AC Transmission Systems (FACTS) devices in a power system with uncertain large-scale wind generation.

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