Method for selectively eliminating correlation degree of power supply planning comprehensive evaluation index system

An index system and comprehensive evaluation technology, applied in the evaluation field of power supply planning index system, can solve problems such as lack of information and imperfect index system

Inactive Publication Date: 2019-05-21
YANSHAN UNIV
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Problems solved by technology

The method used in related literature to deal with the correlation between indicators is to delete one of the two ind

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  • Method for selectively eliminating correlation degree of power supply planning comprehensive evaluation index system
  • Method for selectively eliminating correlation degree of power supply planning comprehensive evaluation index system
  • Method for selectively eliminating correlation degree of power supply planning comprehensive evaluation index system

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[0099] 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.

[0100] The present invention will be further described below in conjunction with accompanying drawing:

[0101] Practical example 1: figure 1 It is a structural block diagram of the hierarchical system of the power supply planning evaluation index of the present invention, combined with figure 2 As shown, the method for selectively eliminating the correlation degree of a power supply planning comprehensive evaluation index system according to the present invention is specifically implemented as follows:

[0102] 1. Hierarchical processing of comp...

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Abstract

The invention discloses a method for selectively eliminating correlation degree of a power supply planning comprehensive evaluation index system. The method comprises the following steps: performing hierarchical processing on a comprehensive evaluation index; carrying out dimensionless processing on the indexes; calculating the fuzzy comprehensive correlation degree of the index system; screeningthe indexes with strong correlation for correlation elimination; and the correlation coefficient method is combined with Schmidt orthogonalization to eliminate the correlation. According to the method, correlation between indexes is considered at the same time, and original data are reserved as much as possible. Whether each index needs to be subjected to correlation elimination or not is judged according to the fuzzy comprehensive correlation degree and a selected threshold value, so that the data change is less, the reliability is higher, and meanwhile, the influence of the correlation on the indexes is weakened, so that the reasonability and feasibility of the power supply planning index system are high.

Description

technical field [0001] The invention relates to the evaluation field of power supply planning index system, which is a method for eliminating the correlation of comprehensive index of power supply planning, and establishes a perfect and reasonable index system by using gray correlation degree method, principal component analysis method and Schmidt orthogonalization method. Background technique [0002] In order to solve the increasingly serious environmental pollution and energy crisis, the world today pins its hopes on renewable energy. However, renewable energy such as wind power and photovoltaics is volatile and uncertain, and the increasing grid-connected capacity of renewable energy is gradually intensifying. The power system maintains the pressure of power balance, which puts forward higher requirements for the operation of modern power system. [0003] Power supply planning plays a very important role in power system planning, and it is a strategic decision-making iss...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06F17/16
Inventor 钟嘉庆赵志锋张晓辉王一鸣李聪
Owner YANSHAN UNIV
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