Structure complex distribution network reliability evaluation method based on diffusion theory

Abstract

The invention discloses a structure complex distribution network reliability evaluation method based on a diffusion theory. The method comprises the following steps: (1) collecting basic data of a target distribution network; (2) selecting a wiring mode, determining the distribution of switching equipment, a standby power supply and the like in the network, and determining a distribution network operation mode; (3) generating a directed graph adjacency matrix, and simplifying a distribution network to obtain a block matrix; (4) clearing a partitioning fault type and a load point outage type through equivalent processing, and forming a point-block relation matrix through logical operation; (5) calculating the outage rate and the outage time of each load point according to the load point mathematical model and the point block relation matrix; and (6) calculating a system reliability index of the distribution network according to the data of the load points. On the basis of a node fault diffusion theory and a partitioning thought, network connectivity analysis is adopted, and an algorithm capable of effectively and accurately calculating the reliability index of the distribution network system is obtained through improvement and optimization of a search algorithm and intermediate link data processing, so that the reliability level of the distribution network is reflected.

Description

technical field [0001] The invention relates to the technical field of power system reliability assessment, in particular to the technical field of distribution network reliability assessment. Background technique [0002] Under the background that power companies are vigorously developing the ubiquitous Internet of Things, more and more distributed resources are connected to the traditional power grid. As the last link connecting users, its reliability level has a direct and important impact on the quality of power supply. Reliability evaluation methods mainly include simulation method and analytical method. Monte Carlo simulation method is a typical algorithm in the simulation method. It can simulate the actual operation of the distribution network and obtain the reliability parameters of components by sampling statistics. In the complex and huge distribution network, the accuracy of the reliability parameters obtained is not high, and the calculation process takes too lo...

AI Technical Summary

Problems solved by technology

In order to solve the problems existing in the reliability algorithm and improve the shortcomings of the algorithm, many reliability evaluation algorithms belonging to the analytical method have been developed, such as the minimum cut set method, the minimum path method, the network equivalent method, and the hierarchical evaluation algorithm. , although there is no problem in terms of accuracy, there are disadvantages such as complicated software programming, long calculation time, and difficulty in multi-mode switching comparison. Network, with strong versatility and engineering practicability

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