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Method and system for determining confidence capacity of grid-connected photovoltaic system

A confidence capacity, photovoltaic system technology, applied in neural learning methods, biological neural network models, complex mathematical operations, etc., can solve problems such as low computational efficiency, time-consuming, and complex processes

Pending Publication Date: 2020-11-27
CHINA ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In fact, the confidence capacity is usually measured by the capacity that the connected intermittent energy can reduce the planned conventional power generation. In the process of measuring the confidence capacity, the process of calculating reliability using the reverse Monte Carlo SMC method is complicated and time-consuming, resulting in low computational efficiency

Method used

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  • Method and system for determining confidence capacity of grid-connected photovoltaic system
  • Method and system for determining confidence capacity of grid-connected photovoltaic system
  • Method and system for determining confidence capacity of grid-connected photovoltaic system

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Embodiment 1

[0053] Example 1: as figure 1 As shown, the present invention provides a method for determining the confidence capacity of a grid-connected photovoltaic system, including:

[0054] S1 obtains the PV penetration rate, time step and PV load related similarity index;

[0055] S2 brings the photovoltaic permeability, time step and photovoltaic load related similarity index into the pre-trained empirical model to determine the confidence capacity of the photovoltaic system;

[0056]Wherein, the empirical model is obtained by using artificial neural network to train the mapping relationship between confidence capacity and photovoltaic permeability, time step and photovoltaic load related similarity index.

[0057] The present invention first establishes a surface-of-array (POA) irradiance model. When the standard composition of irradiance at a certain time is known, the irradiance reaching the inclined photovoltaic module can be calculated according to the following formulas (1)-(5...

Embodiment 2

[0147] Embodiment 2: Based on the same inventive concept, the present invention also provides a system for determining the confidence capacity of a grid-connected photovoltaic system, including:

[0148] The acquisition module is used to obtain the PV penetration rate, time step and PV load related similarity index;

[0149] a determination module, used for bringing the photovoltaic penetration rate, time step and photovoltaic load related similarity index into a pre-trained empirical model to determine the confidence capacity of the photovoltaic system;

[0150] Wherein, the empirical model is obtained by using artificial neural network to train the mapping relationship between confidence capacity and photovoltaic permeability, time step and photovoltaic load related similarity index.

[0151] In an embodiment, the system further includes a training module; the training module is specifically used for:

[0152] Set multiple photovoltaic capacities;

[0153] For each photovo...

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Abstract

The invention discloses a method and a system for determining confidence capacity of a grid-connected photovoltaic system. The method comprises the following steps: acquiring photovoltaic permeability, time step length and photovoltaic load related similarity indexes; and substituting the photovoltaic permeability, the time step length and the photovoltaic load related similarity index into a pre-trained empirical model to determine the confidence capacity of the photovoltaic system, wherein the empirical model is obtained by training a mapping relationship between confidence capacity and photovoltaic permeability, a time step length and a photovoltaic load related similarity index by utilizing an artificial neural network. According to the method, the confidence capacity of any given photovoltaic permeability, time step length and photovoltaic load related similarity index can be estimated under the condition that complex and time-consuming reverse Monte Carlo SMC calculation is not needed.

Description

technical field [0001] The invention relates to the technical field of power generation, in particular to a method and system for determining the confidence capacity of a grid-connected photovoltaic system. Background technique [0002] In recent years, in order to meet the increasing energy consumption and achieve a sustainable environment, large-scale grid-connected photovoltaic power plants have risen rapidly. With the increase of photovoltaic penetration, photovoltaic power plants not only contribute power value to the power system or distribution network, but also contribute to capacity value, so the definition of confidence capacity is proposed. At present, photovoltaic power generation has been widely used, and confidence capacity assessment is an important issue in photovoltaic power generation planning and scheduling. [0003] There are currently reliability-based methods and approximations to assess PV confidence capacity. The method of confidence capacity evalua...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06F17/18G06Q10/06G06Q50/06
CPCG06F17/18G06N3/084G06Q10/06393G06Q50/06
Inventor 孙檬檬王正风吴旭叶荣波周昶栗峰丛从何洁琼梁志峰陈原子雷震陆晓许晓慧赫卫国江星星夏俊荣张祥文刘海璇汪春孔爱良华光辉胡汝伟姚虹春曹潇黄秀丽
Owner CHINA ELECTRIC POWER RES INST
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