scholarly journals Research on distribution network investment allocation method considering actual demand and investment benefit

2021 ◽  
Vol 680 (1) ◽  
pp. 012013
Author(s):  
Qian Wang ◽  
Ronghua Wang ◽  
Mingyong Wan ◽  
Ying Du ◽  
Puyu He ◽  
...  
2020 ◽  
Vol 185 ◽  
pp. 01008
Author(s):  
Lei Ma ◽  
Fan Wen ◽  
Jian Huang ◽  
Xia Pan ◽  
Feifei Xu ◽  
...  

The external severe and complex economic situation has a great impact on the efficiency of the company’s investment implementation. The in-depth implementation of the lean investment management concept also puts forward new requirements for improving the extensive distribution network investment management mode. In addition, in recent years, the proportion of investment in distribution network projects of 10kV and below has increased, and its management mode is difficult to keep up with the new investment management requirements. Therefore, this project takes the infrastructure projects of 10kV and below as the research object, constructs the investment plan curve by studying the business rules of construction, accounting and materials, and deepens its application in the early warning of investment plan implementation based on the investment plan line, and provides an effective support tool for the investment lean management and control of distribution network.


2017 ◽  
Vol 11 (4) ◽  
pp. 595-608 ◽  
Author(s):  
Dongxiao Niu ◽  
Zongyun Song ◽  
Meng Wang ◽  
Xinli Xiao

Purpose The aim of this paper is to review the current situation and existing problem, establish investment benefits evaluation indicator system and introduce synthetic approach degree containing Hamming approach degree, Euclid approach degree and gray correlation degree to improve the shortage of Euclidean distance in traditional TOPSIS method, and the evaluation result is strengthened by multiplication rule. This paper aims to solve the distribution network investment decision-making problem and construct a comprehensive distribution network investment benefit indicator system, which is more suitable for China distribution network characteristics. Design/methodology/approach This study develops improved TOPSIS methods for decision maker in the power distribution network market and uses an example to prove its effectiveness and superiority in practice which can realize the combination of theory and practice. Findings The research shows that the investment evaluation indicator system built in present paper covers more investment benefit influencing factors (such as qualified rate of trunk cross-section, pass rate of N-1 lines), and the evaluation result obtained by improved TOPSIS method is more efficient and persuasive. Originality/value The study can help investors evaluate distribution network project more efficient, and make contribution to the choice of distribution cases with similar investment benefits.


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