Use of Synthetic Wind Power Time Series for Long-term Voltage Stability Analysis

被引：0

作者：

Granitsas, I. M. ^{[1
]}

Souxes, T. ^{[1
]}

Vournas, C. ^{[1
]}

Koivisto, M. J. ^{[2
]}

Sarkar, M. ^{[2
]}

Sorensen, P. E. ^{[2
]}

机构：

[1] Natl Tech Univ Athens, Sch Elect & Comp Engn, Zografos 15780, Greece

[2] Tech Univ Denmark DTU, Dept Wind Energy, DK-4000 Roskilde, Denmark

来源：

2020 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2020年

关键词：

Markov Chain; Synthetic Time Series; Wind Power; Long-term Voltage Stability; Maximum Power Transfer; FLUCTUATIONS; GENERATION;

D O I：

10.1109/pmaps47429.2020.9183647

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper two types of synthetic wind power time series are used to assess the effect of wind variability in the long-term voltage stability assessment of a power system. A wind power time series is generated using the wind simulation tool CorWind, which is based on power spectral density. This time series is then used as input to develop a Markov model for wind power simulation. Both the CorWind time series and randomly generated time series using the Markov model are then applied to a simple power system and the effect of wind variability on the maximum power transfer to a remote load is investigated.

引用

页数：6

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