Power distribution system reliability evaluation method considering distributed power supply correlation

Abstract

The invention relates to a power distribution system reliability evaluation method considering distributed power supply correlation. The method comprises the following steps of S1, considering uncertainty of a distributed power supply and correlation between wind power and illumination intensity, analyzing a wind-solar power generation output law, and based on Latin hypercube sampling, combining aSpearman rank correlation coefficient and Cholesky decomposition to obtain a distributed power supply output sample of a specified correlation coefficient; S2, based on the peak load percentage modelof the IEEE reliability test system, clustering by adopting a load clustering technology to obtain the load condition of each load point; s3, evaluating the reliability of the system based on a powerdistribution system reliability evaluation algorithm considering the bidirectional hierarchical structure of the switch fault; and S4, considering the island operation mode of the power distributionnetwork after the distributed power supply is connected, proposing an improved heuristic load reduction strategy with the maximum load shedding amount, and correcting the reliability index of the loadin the island. The reliability calculation efficiency of the system is improved.

Description

technical field [0001] The invention relates to the field of distributed power sources, in particular to a method for evaluating the reliability of a power distribution system considering the correlation of distributed power sources. Background technique [0002] With the rapid development of modern society, users' requirements for power supply reliability of power system are constantly increasing. How to quickly and accurately evaluate the reliability of power distribution system and provide reliable power supply is very important. The distributed generation (Distributed Generation, DG) power generation method is flexible, green and environmentally friendly, and is widely used in power distribution networks. The access of DG has changed the structure and operation mode of the distribution network. At the same time, there are also problems such as fluctuation and uncertainty of the output power. And there is a correlation between wind speed and light intensity in the same a...

AI Technical Summary

Problems solved by technology

The access of DG has changed the structure and operation mode of the distribution network. At the same time, there are also problems such as fluctuation and uncertainty of the output power.

Moreover, there is a correlation between wind speed and light intensity in the same area. If this factor is not considered, it will affect the reliability evaluation of the distribution network and affect the reliable operation of the distribution network.

[0003] At present, the reliability research of power distribution system containing DG seldom takes correlation factors into account, resulting in evaluation results that are not in line with engineering reality.

As the complexity of the distribution network increases and the number of system components increases, traditional reliability assessment algorithms are computationally inefficient, and in most cases ignore the impact of switch failures

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