Research and application of line switching based on distribution network topology analysis

2021 ◽  
Author(s):  
Pei Yang ◽  
Menghan Xu ◽  
Sen Pan ◽  
Junfeng Qiao ◽  
Kai Liu
Keyword(s):  
Network Topology ◽  
Distribution Network ◽  
Topology Analysis ◽  
Line Switching

scholarly journals A Cascade-Based Emergency Model for Water Distribution Network

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Qing Shuang ◽  
Yongbo Yuan ◽  
Mingyuan Zhang ◽  
Yisheng Liu
Keyword(s):  
Complex Network ◽  
Network Topology ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Topology Analysis ◽  
Physical Infrastructure ◽  
Recovery Strategies ◽  
Recovery Mechanisms ◽  
Redistribution Function

Water distribution network is important in the critical physical infrastructure systems. The paper studies the emergency resource strategies on water distribution network with the approach of complex network and cascading failures. The model of cascade-based emergency for water distribution network is built. The cascade-based model considers the network topology analysis and hydraulic analysis to provide a more realistic result. A load redistribution function with emergency recovery mechanisms is established. From the aspects of uniform distribution, node betweenness, and node pressure, six recovery strategies are given to reflect the network topology and the failure information, respectively. The recovery strategies are evaluated with the complex network indicators to describe the failure scale and failure velocity. The proposed method is applied by an illustrative example. The results showed that the recovery strategy considering the node pressure can enhance the network robustness effectively. Besides, this strategy can reduce the failure nodes and generate the least failure nodes per time.

scholarly journals Deep-Learning-Assisted Topology Identification and Sensor Placement for Active Distribution Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Juhua Hong ◽  
Linyao Zhang ◽  
Yufei Yan ◽  
Zeqi Wang ◽  
Pengzhe Ren
Keyword(s):  
Renewable Energy ◽  
Deep Learning ◽  
Network Topology ◽  
Distribution Network ◽  
Measurement Data ◽  
Principal Component ◽  
Training Sample ◽  
Good Effect ◽  
Tree Model ◽  
Topology Analysis

In response to the demand for identification of distribution network topology with a high percentage of renewable energy penetration, a distribution network topology analysis method based on decision trees and deep learning methods is proposed. First, the decision tree model is constructed to analyze the importance of each node’s characteristics to the observability of the distribution network topology. Next, we arrange the node feature importance from large to small and select the node measurement data with high importance as the training sample set. Then, the principal component analysis (PCA)-deep belief network (DBN) model is used to analyze the changes in the observability of the distribution network topology, and the nodes are selected as the optimal location for the measurement device when the distribution network is completely observable. Finally, the IEEE-33 bus system with a high proportion of renewable energy is used to verify that the method proposed has a good effect in the identification of the distribution network topology.

scholarly journals Distribution Network Topology Identification Considering Nonsynchronous Multi-prosumer Data Measurement

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Lizong Zhang ◽  
Fengming Zhang ◽  
Xiaolei Li ◽  
Chunlei Wang ◽  
Taotao Chen ◽  
...  
Keyword(s):  
Network Topology ◽  
Distribution Network ◽  
Topology Identification ◽  
Data Measurement

Optimization of distribution network topology based on CIM model

2021 ◽  
Author(s):  
S. Xu ◽  
W. Mo ◽  
L. Luan ◽  
R. Tong ◽  
T. Liu
Keyword(s):  
Network Topology ◽  
Distribution Network

Research on hierarchical response recovery method of distribution network fault based on topology analysis

2021 ◽  
Vol 17 (3) ◽  
pp. 216
Author(s):  
Qiuyuan Zheng ◽  
Qiang Wu ◽  
Lianhang Fang ◽  
Wangcheng Zhu ◽  
Yu Liang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Topology Analysis ◽  
Recovery Method ◽  
Response Recovery ◽  
Network Fault
Sign in / Sign up

Export Citation Format

Share Document