Abstract
A new definition method of ramp sections is proposed. Firstly, the extreme point extraction algorithm is designed. The results show that the extreme value sequence can not only achieve data compression, but also provide data for the definition of the ramp section. Secondly, several typical recognition methods of wind power ramp are compared. The results show that the ”event” as the unit of analysis is not possible to effectively distinguish between the ramp process and the transient process in the ramp event, which causes the prediction error of the ramp duration. Also, the non-representation of the threshold setting will also cause errors in the prediction and recognition of complex ramp events. In this article, the concepts of ramp section, slope point(SP) and stagnation point(STP) are introduced to realize the segmentation processing and analysis of ramp events, which can effectively distinguish the ramp process and transient process in ramp events and provide a strong guarantee for the accurate prediction of the ramp duration. In addition, the mathematical statistics method of cumulative probability is utilized to discuss the threshold setting. The ramp situation of a wind farm in Yunnan in 2014 is further identified and analyzed, and on this basis, the characteristics of the ramp sections are investigated, whose results show the applicability of this new definition.
Highlights
The essence of wind power generation is to convert wind energy into electric energy
This article proposes a wind power ramp section recognition method based on extreme point extraction
The following conclusions are drawn: 1) The existing typical ramp identification methods have some limitations: Definition 1 is insensitive to small-amplitude ramps, and the identified ramp events can not effectively reflect the actual power characteristics
Summary
The essence of wind power generation is to convert wind energy into electric energy. The random fluctuation of wind determines that the output power of wind power generation is volatile. According to the above ramp definitions, wind power ramp events that may occur in wind power data can be identified [16], but there are some defects: (1) for the same wind farm station and the wind power sequence of the same time period, when the above definitions are separately adopted to identify ramp events, the identification and extraction results are different, which has many inconveniences in practice. The obtained power extreme value sequence has retained the original information as much as possible It serves as the data basis for the definition of ramp sections. (4) With the identification method of wind power ramp section based on extreme value extraction algorithm, and the specific wind farm data, the ramp sections are identified, and the characteristics of ramp range, ramp rate and duration are analyzed.
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