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Partition virtual inertia estimation method considering wind speed randomness and correlation

A technology of wind speed randomness and virtual inertia, which is applied in the field of partition virtual inertia estimation considering wind speed randomness and correlation, and can solve problems such as inability to accurately estimate large-scale wind farms.

Pending Publication Date: 2022-01-14
STATE GRID GASU ELECTRIC POWER RES INST +1
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  • Abstract
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  • Application Information

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Problems solved by technology

However, due to computational efficiency issues, the model cannot accurately estimate the available inertia of large wind farms

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  • Partition virtual inertia estimation method considering wind speed randomness and correlation
  • Partition virtual inertia estimation method considering wind speed randomness and correlation
  • Partition virtual inertia estimation method considering wind speed randomness and correlation

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Embodiment Construction

[0083] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

[0084] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

The invention discloses a partition virtual inertia estimation method considering wind speed randomness and correlation, and the method comprises the following steps: step 1, considering the wake flow and time delay effect of a wind speed, employing a segmented aggregation approximation method to process historical wind speed data, and building a wind speed daily change curve of each unit in a field; step 2, clustering the wind speed daily variation curve of each unit by adopting a dual-scale spectral clustering algorithm to realize zoning of the units in the field to form a plurality of machine groups; step 3, adopting a non-parametric kernel density estimation method to fit the unit wind speed probability distribution of each cluster center, and constructing an optimal Copula function to analyze the wind speed correlation between each cluster center and the anemometer tower; step 4, considering the uncertainty between wind speed and inertia, and estimating the virtual inertia reserve of each cluster in the wind power plant based on the actual internal structure of the wind power plant and the wind speed data.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to a method for estimating partitioned virtual inertia taking into account the randomness and correlation of wind speed. Background technique [0002] With the large-scale grid-connection of wind power generation, the problems caused by the intermittency and volatility of wind energy have become increasingly prominent. Since the wind turbine is connected to the grid through the converter, the frequency of the wind turbine is decoupled from the grid, and the wind turbine cannot directly participate in system frequency regulation and cannot provide effective inertia support. The available inertia of the entire power system will continue to decrease, and the frequency response capability will continue to decrease. Therefore, in the "Implementation Rules for the Administration of Auxiliary Services for Grid-Connected Power Plants in Central China" issued by th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q50/06G06F111/08G06F113/06G06F113/08
CPCG06F30/27G06Q50/06G06F2111/08G06F2113/06G06F2113/08Y02E40/70Y04S10/50
Inventor 马喜平甄文喜姚寅沈渭程王臣赟陈柏旭董开松朱宏毅赵霖魏博
Owner STATE GRID GASU ELECTRIC POWER RES INST