Published December 1, 2019 | Version v1
Journal article

Rapid assessment method for reliability of distribution network

  • 1. State Grid Huludao Power Supply Company, Huludao 125000 (China)

Description

In the early stage of power system reliability research, society is in a new stage of rapid development. The primary task of power system is to meet the required power generation, and the impact of unreliable power distribution system on users is increasing. Obvious. Based on the Newton-Raphson method, the mathematical reference model of power flow calculation is established. The set of protection components and their corresponding motion vectors are redefined, and the objective function and network constraints are calculated and passed through the countercurrent in the power flow calculation. The detailed overview of transmission, downstream transmission and reliability assessment, combined with the calculation of relevant values in the relevant examples, further validates the characteristics of downstream and countercurrent transmission, providing a numerical reference for future concrete construction. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/677/4/042063

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
677
Journal Issue
4
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
4. International Conference on Insulating Materials, Material Application and Electrical Engineering
Dates
12-13 Oct 2019
Place
Melbourne (Australia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54077759
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CONSTRUCTION; POWER DISTRIBUTION SYSTEMS; POWER GENERATION; POWER SYSTEMS; POWER TRANSMISSION; POWER TRANSMISSION LINES; RELIABILITY; VECTORS
Descriptors DEC
ENERGY SYSTEMS; TENSORS