@inproceedings{f2c9f8fc25ba41cbb8ad7836354243e8,
title = "Evaluation of power grids' renewable energy accommodation capacity considering wind power and photovoltaic power",
abstract = "The output of wind power generators and photovoltaic power generators has strong intermittent and randomness and the differences between them are obvious which brings some problems to the planning and operation of power system. This paper build the wind power and photovoltaic units output probability model based on Weibull probability model and Beta probability model considering time-space correlation. And the paper present an efficient algorithm to evaluate the renewable energy accommodation capacity based on sequential Monte Carlo simulation method and put forward a series of indexes which can reflect the renewable energy accommodation ability of power system comprehensively. And calculation and analysis about a real-life power grid in northern China which verifies the scientific and feasibility of the research was carried on.",
keywords = "photovoltaic power, renewable energy accommodation capacity, sequential Monte Carlo simulation, wind power",
author = "Can Wang and Zhaohong Bie and Chao Yan and Zewen Li and Fan Liu and Kun Ding and Ningbo Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 ; Conference date: 25-10-2016 Through 28-10-2016",
year = "2016",
month = dec,
day = "9",
doi = "10.1109/APPEEC.2016.7779744",
language = "英语",
series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",
publisher = "IEEE Computer Society",
pages = "1518--1522",
booktitle = "IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference",
}
