Load density index acquiring method based on fuzzy maxiumum approximation degree theory

A technology of load density and proximity, applied in data processing applications, instruments, forecasting, etc., can solve problems such as lack of scientificity and quantitative results
CN1825345AInactive Publication Date: 2006-08-30SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
SHANGHAI UNIVERSITY OF ELECTRIC POWER
Publication Date
2006-08-30
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a load density index deriving method based on fuzzy maximum closeness theory, characterized by firstly introducing the fuzzy maximum closeness theory to derive the load density index, refining and quantizing factors of influencing the load density index, and comprising the steps of: forming a sample library according to surveyed and statistic data; dividing a planned region into several functional regions; for some type of functional region, setting main factors of influencing the load density index as environmental parameters; calculating membership grade sets of to-be-measured functional region and primary-screened sample regions; obtaining maximum closeness fuzzy subsets of each sample region and to-be-measured functional region, namely corresponding closeness values; selecting load density index of a sample region with the maximum closeness as a forecasted value of the to-be-measured functional region. And it can derive the forecasted load value relatively fitting the actual conditions.
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Description

technical field

[0001] The invention relates to a method for obtaining a load density index in urban distribution network planning load forecasting, in particular to a method for obtaining a load density index based on the theory of fuzzy maximum closeness degree. Background technique

[0002] The load density index method, that is, the spatial load forecasting method, is a load forecasting method proposed in the 1980s. It can not only predict the total load, but also predict the geographical distribution of future loads. This method is currently used in urban distribution network planning. One of the commonly used methods. Compared with the general method, this method considers more factors, so it is more reliable. The general steps of the load density index method are: by collecting the future land planning scheme of the planning area from the government planning department, the distribution of the load and the corresponding area (occupied area or building area) of each f...

Claims

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