An analytical model construction method for typical characteristics of wind power output

Abstract

The invention discloses a method for constructing an analysis model of typical characteristics of wind power output, which acquires original data and preprocesses the data, and normalizes the data by using wind power fluctuations and simultaneous rate evaluation indicators representing multi-temporal and spatial scales, and the segmentation aggregation reduces dimension; based on the improved adaptive fuzzy clustering algorithm, calculate the adaptive function α(c), determine the optimal cluster number c, and classify the wind power output characteristics; introduce the variation dispersion coefficient β i , to eliminate the wind power output distortion data; propose a partition weighted median probability estimation method, identify and extract the daily typical characteristic curve / interval of wind power output. The invention analyzes and calculates the characteristics of large-scale wind power output in multiple spatial scales, and the wind power output characteristics in multiple time scales of months, quarters or years, and extracts daily typical characteristic curves / intervals of wind power output, so that electric power operators can better grasp wind power Output law provides technical reference for real-time dispatching of power system, dispatching plan arrangement, wind farm planning and system backup configuration.

Description

technical field [0001] The invention relates to the technical field of electric power system control, in particular to a method for constructing a wind farm output daily typical characteristic curve / interval band analysis model. Background technique [0002] With the development of wind power technology, wind power is currently the fastest growing renewable energy in the world, and the proportion of installed capacity in the power grid is increasing day by day. Due to the characteristics of peak shaving, the impact of large-scale wind power grid connection on the grid is becoming more and more obvious, such as the impact on grid security and stability, wind power transmission, frequency peak shaving, power quality, backup arrangements, many operating units, and coordination difficulties. , not only affects the safe operation of the power grid, but also limits the ability of the power grid to accept wind power, leading to a further increase in the amount of abandoned wind, re...

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Problems solved by technology

[0002] With the development of wind power technology, wind power is currently the fastest growing renewable energy in the world, and the proportion of installed capacity in the power grid is increasing day by day. Due to the characteristics of peak shaving, the impact of large-scale wind power grid connection on the grid is becoming more and more obvious, such as the impact on grid security and stability, wind power transmission, frequency peak shaving, power quality, backup arrangements, many operating units, and coordination difficulties. , not only affects the safe operation of the power grid, but also limits the ability of the power grid to accept wind power, leading to a further increase in the amount of abandoned wind, resulting in energy waste

[0003] Due to the intermittent uncertainty of wind power output, the characteristics of wind power output are different from the load demand, and it is difficult to obtain intuitively by using conventional output indicators (daily maximum / minimum value, daily average value, daily peak-to-valley difference, daily peak-to-valley difference rate, etc.) Outline of wind power output characteristic curve

The evaluation index system of wind power output characteristics is the basis of wind power grid-connected research. At present, most of the research on wind power output characteristics is qualitative analysis, and there is a lack of systematic wind power output characteristic index system, which makes it difficult to deeply grasp the laws and typical characteristics of large-scale wind power output. Characteristics, lack of model construction methods for typical characteristics of wind farm output, resulting in power workers unable to better grasp the law of wind power output, real-time dispatching of power systems, dispatching planning arrangements, wind farm planning and system backup configuration lack of standards

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