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Fuzzy Petri net-based distribution network reliability assessment method considering weather model

A distribution network reliability technology, applied in the field of evaluation, can solve the problems of distribution network reliability evaluation differences, lack, calculation errors, etc.

Active Publication Date: 2018-03-06
XIHUA UNIV
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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 of the same distribution network evaluation 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 reasoning 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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  • Fuzzy Petri net-based distribution network reliability assessment method considering weather model
  • Fuzzy Petri net-based distribution network reliability assessment method considering weather model
  • Fuzzy Petri net-based distribution network reliability assessment method considering weather model

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Embodiment

[0199] Take IEEE-RBS bus 2 system as an example, the system wiring is as figure 2 As shown, the diagram has 36 lines, 22 transformers, 10 section switches, 2 backup power sources, 4 circuit breakers and 21 fuses.

[0200] Assuming that the operation of the circuit breaker and the fuse is reliable, the operating time of the section switch is 1 hour, the transformer has no backup, and other parameters are shown in literature (6).

[0201] The relevant parameters of the model 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.

[0202] The weather conditions are considered as:

[0203] 1. The occurrence rate of typhoons above level 8 is 0.032 and occurs from May to November, no more than 6 times.

[0204] 2. The probability of thunder and lightning is 0.05, concentrated in May-August. The simulated distribution of typhoons and lightning is as image 3 As shown, the default is 0 for typhoons below level 8.

[0205] In response to the above-mentioned weathe...

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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 method for evaluating the reliability of a distribution network based on a fuzzy Petri net that takes into account weather models. Background technique [0002] The fundamental task of the power system is to provide electricity to various users as economically and reliably as possible. Therefore, power system reliability assessment is one of the important links to ensure the stable operation of the power system. Power system reliability evaluation is mainly divided into the reliability evaluation of power generation system, transmission system and distribution system. According to incomplete statistics, 80% of user power outages are caused by power distribution system failures, and with the continuous development of smart grids With the development, the integration of distributed power sources into the distribution system in the form of microgrids has become a research hotspot of experts at h...

Claims

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Application Information

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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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