Algorithm Improvement for Complex Distribution Network Reliability Evaluation and Its Programming

Author(s):  
Yi-xiong Jin ◽  
Hong-zhong Li ◽  
Jian-min Duan ◽  
Cheng-min Wang
Author(s):  
Guowei Li ◽  
Qinghui Zeng ◽  
Hao Liu ◽  
Junbo Wang ◽  
Rongbo Luo ◽  
...  

2014 ◽  
Vol 672-674 ◽  
pp. 1441-1446 ◽  
Author(s):  
Yu Qiang Ou ◽  
Le Feng Cheng ◽  
Jian Zhong Wen ◽  
Xuan Yu Qiu ◽  
Tao Yu

Research on reliability of distribution network has very important meaning and function to ensure the quality of power supply. This paper introduces some basic concepts of reliability in distribution network, including distribution network reliability definition, task and index. The classical reliability evaluation method was reviewed, and focused on specific distribution network, an example analysis was given, and specific reliability evaluation indexes were calculated. Finally, the future development of distribution network reliability evaluation was made a simple prospect.


2013 ◽  
Vol 448-453 ◽  
pp. 2503-2506
Author(s):  
Xin Zhang ◽  
Hong Liu ◽  
Li Mei Zhou

The access of distributed renewable energy enhances the uncertainty of the distribution network reliability, whereas the distribution network reliability evaluation using existing methods cannot fully reflect the stochastic volatility of islanding power supply and loads. For this reason the approach of active distribution network probabilistic reliability evaluation based on point estimation method was proposed. In the framework of Monte Carlo simulation, the islanding random variable was sampled and processed firstly; then the islanding probabilistic reliability was assessed with a nonlinear transformation method of independent random variables based on point estimate method; finally, system probabilistic reliability indexes can be obtained from the probabilistic superimposing of the results of repeating simulated failures. The simulation on the transformed multi-branch feeder model of the IEEE RBTS Bus6 verifies the validity and accuracy of this assessment approach.


2013 ◽  
Vol 341-342 ◽  
pp. 1380-1383
Author(s):  
Yan Yan Cui ◽  
Da Pu Zhao ◽  
Wei Liu ◽  
Yu Long

It is difficult to evaluate and analyze power supply reliability of large-scale medium voltage distribution network by detailed modeling method. The paper proposes a power supply reliability evaluation method of large-scale medium voltage distribution network, which is based on the network reliability characteristics model. Lines with similar structural characteristics are designated as one model. The reliability index of each mode can be represented by the typical lines. The assessment principle, process and the advantages of this method are elaborated. The medium voltage distribution network of Nanjing area is taken as an example to evaluate power supply reliability. And the results are compared with historical statistics. The result shows that the method can greatly reduce the workload and has high accuracy. It can be used to evaluate the reliability of large-scale medium voltage distribution network.


2021 ◽  
Vol 2137 (1) ◽  
pp. 012014
Author(s):  
Yuehao Yan ◽  
Wei Bao ◽  
Shuai Gao ◽  
Quan Wang

Abstract With the rapid development of power system, the distribution network structure is gradually mature and the connection situation is more complex. The traditional distribution network reliability calculation method can not accurately calculate the reliability index of complex distribution network. Based on the traditional simple power supply reliability evaluation method of radial distribution network, this paper completely considers the influence of circuit breaker, tie switch, branch line, standby transformer and other equipment, and puts forward an improved network equivalence method model. The model first treats the complex distribution system in layers, and then gradually equates it into a simple radial distribution network to calculate the reliability of the system. At the same time, this paper analyzes the distribution network with multi connection structure in a provincial capital city. The results show that this model simplifies the complexity of distribution system reliability calculation, improves the accuracy and speed of reliability calculation, and more truly reflects the reliability of actual distribution system.


Sign in / Sign up

Export Citation Format

Share Document