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Distribution Network Reliability Evaluation Method Based on Fuzzy Petri Net Considering Weather Model

A technology of distribution network and reliability, applied in the field of evaluation, can solve the problems of different reliability evaluation of distribution network, lack, calculation error, etc.

Active Publication Date: 2020-10-09
XIHUA UNIV
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  • Application Information

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Problems solved by technology

(1) Due to the different method principles and mechanisms, the distribution network reliability evaluation index values ​​under different models are different, but the overall trend and results evaluated for the same distribution network are the same, so the reliability of the system is measured The analysis should be based on the built model; (2) The same model makes different assumptions on the structure, components, and hidden factors of the distribution network, and the reliability evaluation of the distribution network is also different; (3) In the process of solving, there will inevitably be Calculation error
[0007] With the development of information technology, reasoning models have been widely used in power systems. Reasoning models have strong logical relationships and explanatory properties, and can use causal relationships for forward and reverse reasoning. However, there is still a lack of application of this method in the power distribution system of the power system

Method used

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  • Distribution Network Reliability Evaluation Method Based on Fuzzy Petri Net Considering Weather Model
  • Distribution Network Reliability Evaluation Method Based on Fuzzy Petri Net Considering Weather Model
  • Distribution Network Reliability Evaluation Method Based on Fuzzy Petri Net Considering Weather Model

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Embodiment

[0198] Taking IEEE-RBS bus2system as an example, the system wiring is as follows: figure 2 As shown, the diagram has 36 lines, 22 transformers, 10 section switches, 2 backup power supplies, 4 circuit breakers and 21 fuses.

[0199] It is assumed that the operation of circuit breakers and fuses is reliable, the operating time of the section switch is 1 hour, the transformer is not backed up, and other parameters are given in reference (6).

[0200] The model related parameters are set as: μ 1 =0.99,μ 3 =0.02, β 1 =β' 1 = β 2 =β' 2 = 1, γ 11 =0.01, γ 12 = 0.33.

[0201] Weather conditions are considered as:

[0202] 1. The incidence rate of typhoon above level 8 is 0.032 and it occurs from May to November, no more than 6 times.

[0203] 2. The probability of thunder and lightning is 0.05, concentrated in May-August. The simulated distribution of typhoon and lightning is as follows: image 3 Shown, where for typhoons below level 8 and above, the default is 0.

[020...

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Abstract

The invention provides a fuzzy Petri net-based distribution network reliability assessment method considering a weather model. The method includes the following steps of step 1, obtaining a logical structure between distribution network lines; step 2, converting a distribution network into a simplified Petri net network diagram; step 3, based on whether there is a component failure in the distribution network, classifying as 'healthy', 'sub-healthy' and 'non-healthy' states and giving them different probability values; step 4, adding the weather model into the credibility value of Petri net transition; step 5, obtaining a weather model-tree diagram based on a fuzzy Petri net. The method utilizes the logic structure between distribution network elements to convert a logic structure of the distribution network into a simplified Petri net network diagram, then classifies different power supply modes of load as 'healthy', 'sub-healthy' and 'non-healthy' states according to whether there isa component failure in the distribution network, and adds the weather model into the credibility of the transition to obtain a weather model based on the fuzzy Petri net.

Description

technical field [0001] The invention relates to an evaluation method, in particular to a distribution network reliability evaluation method based on a fuzzy Petri net considering a weather model. Background technique [0002] The fundamental task of the power system is to provide electric energy to various users as economically and reliably as possible. Therefore, the reliability assessment of the power system is one of the important links to ensure the stable operation of the power system. Power system reliability assessment is mainly divided into reliability assessment of power generation system, transmission system and power distribution system. According to incomplete statistics, 80% of user power outages are caused by power distribution system failures. The integration of distributed power into the power distribution system in the form of a microgrid has become a research hotspot for experts at home and abroad. Therefore, the reliability assessment of the distribution n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00H02H7/28H02J9/06
CPCH02H7/28H02J3/00H02J3/001H02J9/06H02J2203/20
Inventor 王涛韦晓广王军黄涛黄雨雷
Owner XIHUA UNIV
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