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A distribution network reliability assessment method based on trapezoidal fuzzy number system

A trapezoidal fuzzy number and reliability technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as failure to identify weak links in the system and difficulty in accurately converging, so as to achieve intuitive and clear reasoning relationships, ensure accuracy, The effect of a clear logical structure

Active Publication Date: 2022-02-22
YANTAI DONGFANG WISDOM ELECTRIC
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Problems solved by technology

[0004] The Monte Carlo simulation method simulates the operating status of each component of the power grid through multiple random sampling, and calculates the reliability index of the power grid based on the principle of probability and statistics. The calculation is simple and suitable for the reliability assessment of large-scale power distribution networks. But it can only obtain an approximate solution, and there is a problem that it is difficult to converge accurately
[0005] The analytical method is to establish a reliability model based on the functional relationship between components, and analyze it according to the overall situation of the fault state, so as to obtain the reliability index through mathematical principles. This method can obtain accurate solutions without convergence problems, but cannot Perform backward reasoning and fail to identify weak links in the system

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  • A distribution network reliability assessment method based on trapezoidal fuzzy number system
  • A distribution network reliability assessment method based on trapezoidal fuzzy number system
  • A distribution network reliability assessment method based on trapezoidal fuzzy number system

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Embodiment Construction

[0052] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0053] Firstly, the Improved Fuzzy Reasoning Spiking Neural P Systems with Trapezoidal Fuzzy Numbers (ITFRSNP) system is introduced. It is based on the fuzzy reasoning trapezoidal fuzzy number SNP (Fuzzy Reasoning Spiking Neural P Systems with Trapezoidal Fuzzy Numbers, TFRSNP) system, making full use of its characteristics of parallel and efficient processing of fuzzy information, changing the definition of neurons to make it applicable In the reliability assessment of distribution network.

[0054] The formal definition of the improved fuzzy reasoning trapezoidal fuzzy number SNP is as follows:

[0055] The formal composition of an ITFRSNP system with degree m is as follows:

[0056] Π=(A,σ 1 ,…,σ m ,syn,I,O);

[0057] in:

[0058] (1) A={a} is a set of single letters, and a represents a pulse.

[0059] (2)σ 1 ,…,σ m is m neurons, the composi...

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Abstract

The invention discloses a distribution network reliability evaluation method based on a trapezoidal fuzzy number system. The method considers the fuzziness of the basic parameters obtained during the reliability evaluation, and uses the fuzzy reasoning SNP system to quickly and efficiently process fuzzy According to the characteristics of data information, a corresponding reliability evaluation model is established, and by defining propositional neurons and different rule neurons and presenting them in a graphical form, the logical structure of the model is clearer, and the reasoning relationship is more intuitive and clear. The method can ensure the accuracy of evaluating the convergence of the method and identify the weak points of the system.

Description

technical field [0001] The distribution network reliability assessment method of the present invention is specifically a distribution network reliability assessment method based on a trapezoidal fuzzy number system. Background technique [0002] In the distribution network reliability evaluation, due to the influence of insufficient statistical data, external factors such as weather, and the aging of the distribution network components themselves, the uncertainty of basic parameters such as the failure rate and repair time of the components will result. This will seriously affect the accuracy of the distribution network reliability index, resulting in that the reliability index cannot accurately and comprehensively reflect the state of the distribution network. Therefore, it is of great practical significance to consider the reliability evaluation of the distribution network with uncertain parameters. [0003] There have been many studies in this area in the prior art. The b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 韩冬军张加海孙国栋孙旭许芹王贵现刘春李鹏刘亮周强孙华玺
Owner YANTAI DONGFANG WISDOM ELECTRIC
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