Open AccessResearch on low carbon electricity under the probabilistic reliability evaluation
Author(s) -
Ge Shaoyun,
Li Teng,
Liu Hong
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.1205
Subject(s) - probabilistic logic , reliability (semiconductor) , reliability engineering , monte carlo method , computer science , grid , point (geometry) , electricity , probabilistic method , power (physics) , mathematical optimization , engineering , mathematics , statistics , artificial intelligence , physics , geometry , electrical engineering , quantum mechanics
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.