Published May 1, 2021 | Version v1
Journal article

Research on Comprehensive Benefit Evaluation Model of Power Distribution Internet of Things Based on System Dynamics

  • 1. School of Economics and Management, North China Electric Power University, Beijing, 102206 (China)
  • 2. Economic Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang, 110015 (China)

Description

Access of distributed energy to power distribution Internet of Things is of great significance to improving resource utilization and achieving emission reduction, and is an important means to improve the comprehensive benefits of distribution Internet of Things. Considering that the comprehensive evaluation of power distribution Internet of Things is a complex and dynamic process, this paper proposes a comprehensive evaluation model of power distribution Internet of Things based on system 1 dynamics. Firstly, according to the principle of system dynamics, the system dynamics index is established from the two parts of economic benefit improvement and social benefit drive, and the corresponding system causality diagram is drawn. Secondly, regression analysis is used to determine the system dynamics equation of the comprehensive evaluation index. Finally, the comprehensive evaluation method of analytic hierarchy process is used to analyze the comprehensive benefits of a provincial power distribution Internet of Things. The results show that the system dynamics model considering the correlation of each index makes the evaluation result more objective and more valuable for application. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1915/2/022089

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1915
Journal Issue
2
Journal Page Range
[8 p.]
ISSN
1742-6596

Conference

Title
International Conference on Information Systems and Computer Engineering
Acronym
ISCE 2021
Dates
29-30 Mar 2021
Place
Qingdao (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54005872
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION; S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; INTERNET; POWER DISTRIBUTION SYSTEMS; POWER TRANSMISSION; REGRESSION ANALYSIS
Descriptors DEC
COMPUTER NETWORKS; MATHEMATICS; SIMULATION; STATISTICS