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

I. Granitsas, T. Souxes, C. Vournas, M. Koivisto, M. Sarkar, P. Sørensen
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引用次数: 1

Abstract

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.
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综合风力发电时间序列用于长期电压稳定性分析
本文采用两类综合风电时间序列来评估风变率对电力系统长期电压稳定性评估的影响。利用风力模拟工具CorWind生成基于功率谱密度的风电时间序列。然后将该时间序列作为输入,建立风电仿真的马尔可夫模型。然后将CorWind时间序列和随机生成的马尔可夫时间序列应用于一个简单的电力系统,研究了风变率对最大功率向远程负荷转移的影响。
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