DocumentCode
3610417
Title
Research on low carbon electricity under the probabilistic reliability evaluation
Author
Shaoyun Ge ; Teng Li ; Hong Liu
Author_Institution
Key Lab. of Smart Grid, Tianjin Univ., Tianjin, China
Volume
9
Issue
15
fYear
2015
Firstpage
2374
Lastpage
2381
Abstract
The access of distributed energy to traditional distribution grid can enhance the reliability and provide important support for the construction of low-carbon electricity. However, the current reliability evaluation methods do not correlate with the notion of low-carbon power grid. To fully reflect the stochastic fluctuation of the sources and loads, taking the Monte Carlo simulation method as a framework method, the probabilistic reliability evaluation method based on point estimation is proposed to evaluate the probabilistic reliability of isolating part combining with a new shedding strategy. Then analyse the low-carbon benefit on the result of reliability evaluation. Finally, make a simulation based on the case of actual areas in China. From the case, the low-carbon benefit promotes 20%. Therefore, the validity and accuracy of the method can be verified.
Keywords
Monte Carlo methods; load shedding; power distribution reliability; power grids; stochastic processes; Monte Carlo simulation method; distributed energy; distribution grid; low carbon electricity; point estimation; probabilistic reliability evaluation; shedding strategy; stochastic fluctuation;
fLanguage
English
Journal_Title
Generation, Transmission Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd.2014.1205
Filename
7328465
Link To Document