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
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;
Journal_Title :
Generation, Transmission Distribution, IET
DOI :
10.1049/iet-gtd.2014.1205