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Self-adaptive distribution robust unit combination method and system based on non-parametric statistics

A technology of robust units and combined methods, applied in data processing applications, calculations, instruments, etc., can solve the problems of probability distribution uncertainty without considering uncertain quantities, failure to reflect probability distribution, and high decision-making conservativeness, so as to reduce Conservatism, achieving robustness and economy, and improving computational efficiency

Active Publication Date: 2020-12-08
STATE GRID SHANDONG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] However, the inventors of the present disclosure found that none of the above methods considered the uncertainty of the probability distribution of uncertain quantities, so that they could not reflect the real probability distribution, and when there were enough samples, the decision-making was more conservative

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  • Self-adaptive distribution robust unit combination method and system based on non-parametric statistics
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  • Self-adaptive distribution robust unit combination method and system based on non-parametric statistics

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Embodiment 1

[0041] In order to reduce the conservativeness of the robust optimization solution, describe the probability distribution information of uncertain parameters in more detail, and absorb more wind power, Embodiment 1 of the present disclosure provides an adaptive distribution robust unit combination method based on non-parametric statistics, like figure 1 shown, including the following steps:

[0042] Obtain the operating status data of the wind power generation system;

[0043] According to the obtained data, a fuzzy set of wind power probability distribution is constructed by non-parametric statistical method;

[0044] The upper and lower bounds of the output are obtained by preprocessing the fuzzy set, and the range of wind power that can be absorbed by the system is determined, and the fuzzy set is transformed into a polyhedron uncertain set constructed from two dimensions of interval and time;

[0045] Based on the constructed polyhedron uncertainty set, the acquired oper...

Embodiment 2

[0117] Embodiment 2 of the present disclosure provides an adaptive distributed robust unit combination system based on non-parametric statistics, including the following steps:

[0118] a data acquisition module, configured to: acquire the operating status data of the wind power generation system;

[0119] The fuzzy set building module is configured to: construct a fuzzy set of the probability distribution of wind power by using a non-parametric statistical method according to the obtained data;

[0120] The uncertainty set building module is configured to: preprocess the fuzzy set to obtain the upper and lower bounds of the output, determine the wind power range that the system can absorb, and convert the fuzzy set into a polyhedral uncertainty set constructed from the two dimensions of interval and time;

[0121] The unit combination module is configured to: output the combination scheme of the wind turbine based on the constructed polyhedron uncertainty set, the acquired op...

Embodiment 3

[0124] Embodiment 3 of the present disclosure provides a medium on which a program is stored, and when the program is executed by a processor, implements the steps in the non-parametric statistics-based adaptive distribution robust unit combination method described in Embodiment 1 of the present disclosure , the steps are:

[0125] Obtain the operating status data of the wind power generation system;

[0126] According to the obtained data, a fuzzy set of wind power probability distribution is constructed by non-parametric statistical method;

[0127] The upper and lower bounds of the output are obtained by preprocessing the fuzzy set, and the range of wind power that can be absorbed by the system is determined, and the fuzzy set is transformed into a polyhedron uncertain set constructed from two dimensions of interval and time;

[0128] Based on the constructed polyhedron uncertainty set, the acquired operating state data and the preset unit combination model, the combinatio...

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Abstract

The invention provides an self-adaptive distribution robust unit combination method and system based on non-parametric statistics, and belongs to the technical field of wind power generation, and themethod comprises the following steps: obtaining the operation state data of a wind power generation system; constructing a fuzzy set of wind power probability distribution by adopting a non-parametricstatistical method according to the acquired data; preprocessing the fuzzy set to obtain an upper bound and a lower bound of output, determining a wind power consumption range of the system, and converting the fuzzy set into a polyhedral uncertainty set constructed from two dimensions of interval and time; and based on the constructed polyhedral uncertainty set, the obtained operation state dataand a preset unit combination model, outputting a combination scheme of a wind turbine generator. By introducing the fuzzy set to describe the uncertainty of the uncertain variables, the probability distribution of the variables can be expressed more meticulously, the effectiveness and accuracy of understanding are improved, and the conservative property of the model is reduced.

Description

technical field [0001] The present disclosure relates to the technical field of wind power generation, and in particular, to a method and system for combining adaptive distributed robust units based on non-parametric statistics. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] In recent years, with the continuous integration of large-scale renewable energy sources such as wind power and photovoltaics, the uncertainty of the system continues to increase, and the operation of traditional power grids is suffering from huge challenges. When dealing with the uncertainty of wind power, traditional dispatch theory usually assumes that the output is a certain constant and ignores the characteristics of probability distribution, so it is difficult to obtain the optimal solution for decision-making. Therefore, how to reasonably consider the uncertainty and int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38G06Q50/06
CPCH02J3/381G06Q50/06H02J2203/20H02J2300/28Y02E10/76
Inventor 吴晓宾亓富军冯德品牟军王军赵中华陈筱陆路长禄姬帅邢文涛马健张兴堂耿家健
Owner STATE GRID SHANDONG ELECTRIC POWER
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