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Energy storage capacity optimal configuration method considering space-time correlation of forecast errors of various wind plants

A technology of spatiotemporal correlation and prediction error, applied in circuit devices, AC network load balancing, AC network circuits, etc. To achieve the optimal comprehensive benefit and good fitting effect

Inactive Publication Date: 2017-09-08
SHANDONG UNIV +2
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Problems solved by technology

[0008] (c) Neither mentions how the temporal and spatial correlations of forecast errors affect the capacity allocation and cost-effectiveness of the wind storage system

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  • Energy storage capacity optimal configuration method considering space-time correlation of forecast errors of various wind plants
  • Energy storage capacity optimal configuration method considering space-time correlation of forecast errors of various wind plants
  • Energy storage capacity optimal configuration method considering space-time correlation of forecast errors of various wind plants

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0043] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention discloses an energy storage capacity optimal configuration method considering space-time correlation of forecast errors of various wind plants. The energy storage capacity optimal configuration method comprises the steps of analyzing a fitting effect on the forecast errors by comparing a parameter method with a non-parameter method, and selecting KDE method with highest fitting accuracy to perform error fitting; obtaining a joint distribution function of the forecast errors of various wind plants according to an actual space correlation of various wind plants by a modeling method of the space-time correlation of the forecast errors of various wind plants based on a Copula theory, and fitting an edge distribution function of the forecast errors by the KDE method; and building an energy storage capacity optimization model considering the space-time correlation of the forecast errors of various wind plants by taking minimum investment cost and running cost of an energy storage system as targets and by a multi-scene analysis method.

Description

technical field [0001] The invention relates to an optimal configuration method of energy storage capacity considering the time-space correlation of prediction errors of multiple wind fields. Background technique [0002] Due to increasingly severe resource and environmental problems, the development and utilization of new energy, led by wind energy, has received widespread attention worldwide and continues to maintain a rapid development level. According to the global wind energy data released by the Global Wind Energy Council (GWEC), as of 2015, the global wind power installed capacity reached 433GW and will increase by 60GW in 2016. my country's wind power installed capacity reached 145.4GW by 2015, an increase of 21.2% over 2014. However, due to the uncertainty and volatility of wind turbine output, large-scale grid integration of wind power will inevitably bring great challenges to the safe, reliable, stable and economical operation of the power system. [0003] With ...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/32
CPCH02J3/00H02J3/32H02J2203/20
Inventor 梁军滕奇君王成福贠志皓李荣李勇李笋石鑫
Owner SHANDONG UNIV
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