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Estimation of wind farms aggregated power output distributions
Affiliation:1. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, and Jiangsu Engineering Lab for IOT Intelligent Robots(IOTRobot), Nanjing 210023, PR China;2. School of Artificial Intelligence and Automation, Image Processing and Intelligent Control Key Laboratory of Education Ministry of China, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, PR China;1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, PR China;2. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, PR China
Abstract:In this contribution we present an approach to the estimation of aggregated power output distribution from wind farms, with a focus on the alternative simulating model of correlated wind speeds and kernel estimators which overcomes some disadvantages of related ones. The case study shows the application of the approach under assumptions concerning relationships between wind speeds at different generation sites.
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