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Method for solving uncertainty trend of power distribution network with distributed power supply

A distributed power supply, uncertain technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of information distortion and singleness, and achieve high accuracy

Inactive Publication Date: 2014-06-25
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The mathematical description method makes up for the lack of theoretical support for multi-scenario technology, but it only considers a single uncertainty, and objectively, the information contained in the uncertainty is often not single, but has randomness, fuzziness, interval Two or more types of uncertain information, such as uncertainty, using a single processing method will lead to information distortion to a certain extent

Method used

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  • Method for solving uncertainty trend of power distribution network with distributed power supply
  • Method for solving uncertainty trend of power distribution network with distributed power supply
  • Method for solving uncertainty trend of power distribution network with distributed power supply

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Embodiment Construction

[0042] The distribution network containing distributed power in this embodiment refers to the distribution network connected with renewable energy sources, micro gas turbines and fuel cells, and the method for solving the uncertain power flow of the distribution network containing distributed power is as follows conduct:

[0043] Step 1. Uncertain parameter ξ i Expressed in the form of linkage numbers:

[0044] ξ i =A i +B i lambda i (1)

[0045]In formula (1), i=1,2,...,m, m is the total number of uncertain parameters, A i is the uncertain parameter ξ i The definite value of is obtained by averaging the historical record data of uncertain parameters, B i lambda i is the uncertain parameter ξ i The fluctuation value of B i Subtract A from the maximum value in historical data with uncertain parameters i get, lambda i ∈[-1,1]; Uncertain parameters refer to parameters with uncertain attributes due to randomness and unpredictability, including output power and loa...

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Abstract

The invention discloses a method for solving an uncertainty trend of a power distribution network with a distributed power supply. The method is characterized in that the power distribution network with the distributed power supply refers to a power distribution network which can be assessed in a renewable energy source power supply, a micro gas turbine and a fuel battery; the method comprises the following steps of: expressing uncertainty parameters to be a correlate mode; partitioning a maximum value interval expressed by a correlate into a plurality of sub-intervals with different credibility degrees and hypothesizing that a corresponding fuzzy membership function is obeyed in each sub-interval; designing a fuzzy simulation algorithm to solve the uncertainty trend; and comparing and analyzing the uncertainty trend calculation result according to a change trend of satisfaction degree indexes under different sampling times. The uncertainty parameters are described in a model that the correlate and fuzzy numbers are combined, and the diversity of information contained in uncertain factors is reflected so that the relatively high accuracy is realized.

Description

technical field [0001] The invention relates to the technical field of power system analysis, in particular to a method for solving the uncertain power flow of a distribution network containing distributed power sources. Background technique [0002] Power flow calculation is the most widely used, basic and important electrical calculation in power system, and it is the basis of power grid planning and dispatching. The actual power market environment is faced with a large number of uncertain factors. In recent years, the development of microgrids has introduced the randomness and unpredictability of renewable energy sources including wind and solar power. However, the traditional deterministic power flow planning and dispatching models are all committed to the pursuit of the minimization of initial investment or power generation costs, which will cause the future network to have a weaker ability to deal with fluctuations in uncertain factors under certain operating condition...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
Inventor 吴红斌蔡亮丁明
Owner HEFEI UNIV OF TECH
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