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A Method of Energy Storage Configuration Based on Butterworth Filter

A configuration method and a filter technology, which are applied in energy storage, circuit devices, and greenhouse gas reduction, can solve the problems of low economical energy storage configuration, frequency domain aliasing, and large energy storage configuration results, etc.

Active Publication Date: 2019-03-08
GUIZHOU POWER GRID CO LTD
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  • Description
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  • Application Information

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Problems solved by technology

However, in fact, such a method will inevitably cause frequency domain aliasing in the process of inverse transformation, which will make the result of energy storage allocation significantly larger, and the economical efficiency of energy storage allocation is not high

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  • A Method of Energy Storage Configuration Based on Butterworth Filter
  • A Method of Energy Storage Configuration Based on Butterworth Filter
  • A Method of Energy Storage Configuration Based on Butterworth Filter

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Embodiment Construction

[0084] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0085] An energy storage allocation method based on the Butterworth filter of the present invention is different from the traditional method. When calculating the energy storage allocation method, this method borrows the filtering idea of ​​the recursive filter, and uses the Butterworth filter to calculate the area connecting line The minimum power type and energy type energy storage configuration problem with the goal of minimum power. In the specific implementation, the optimization planning work can be completed through the following steps: determine the tie line to stabilize the fluctuation target, construct the constraint conditions for the normal operation of the energy storage equipment; The load and other data at the corresponding time dur...

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Abstract

The invention discloses an energy storage configuration method based on a Butterworth filter. The method comprises the following steps of determining a suppression fluctuation control target, and constructing a constraint condition of energy storage equipment during working; acquiring load running data and historical meteorological data; figuring out power transmission data of a regional contact line by combining a local load condition; enabling that fluctuation rate conforms to suppression target requirement after a filtering result is subjected to a Fourier inversion return time domain, and recording a compensation frequency initial value of a low-pass filter; setting multiple groups of filter filtering parameters around the initial values, calculating a Butterworth filter coefficient, verifying fluctuation power after smoothing, modifying the filter parameters when the fluctuation rate does not conform to the control fluctuation power requirement until the power fluctuation of full-time windows conform to the requirement; and calculating and finally acquiring a capacity configuration result of power-type energy storage equipment and an energy-type energy storage equipment. By the method, a large configuration result of the energy storage device brought by cyclic convolution due to Fourier inversion is prevented, and economic and reasonable energy storage configuration strategy is ensured.

Description

technical field [0001] The invention relates to an energy storage configuration method based on a Butterworth filter, and belongs to the technical field of new energy energy storage equipment planning. Background technique [0002] Energy storage technology has experienced rapid development since it was first proposed, and now the mainstream energy storage methods can be divided into three types: mechanical energy storage, electromagnetic energy storage and electrochemical energy storage. On the other hand, according to the response rate of the energy storage device, it can be divided into power type energy storage device and energy type energy storage device. The former, represented by supercapacitors and flywheel energy storage, has the characteristics of fast response (fast charge and discharge), long life, and small capacity, and is suitable for compensating short-term power fluctuations; the latter, represented by batteries, has large capacity and slow response (phase ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/28H02J3/24
CPCH02J3/24H02J3/28H02J2203/20Y02E70/30
Inventor 肖永顾全文贤馗林呈辉徐玉韬陈建国徐梅梅顾威范强龙秋风徐长宝杨兆军宁楠雷鸣
Owner GUIZHOU POWER GRID CO LTD