Automation of Electric Power SystemsVol. 37, Issue 7, Pages: 18-24(2013)
作者机构:
National Key Laboratory of Power Systems in Shenzhen,Tsinghua University,Shenzhen,China,518055
作者简介:
基金信息:
DOI:
CLC:
Published:2013
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Libao SHI. [J]. Automation of electric power systems, 2013, 37(7): 18-24.
DOI:
Libao SHI. [J]. Automation of electric power systems, 2013, 37(7): 18-24.DOI:
计及风电间歇性的电力系统电压稳定评估(英文)
摘要
This paper proposes a simulation framework to evaluate the voltage stability of power system incorporating wind power intermittency. First of all
the modeling of power output of three types of wind turbines is discussed. Next
the Jensen model is employed to model the wind farm with wake effect taken into account. The Monte Carlo based technique is applied to conduct the voltage stability evaluation incorporating the randomness of wind speed based on the Weibull probability distribution. Furthermore
the relative sensitivity index is calculated to identify the weak buses during analysis. Finally
the case studies with different simulation scenarios are carried out. Some statistical results involving weakness probability
expected value and variance of relative sensitivity index as well as preliminary conclusions are drawn based on the numerical simulation results.
Abstract
A simulation framework is proposed to evaluate the voltage stability of power systems incorporating wind power intermittency.Firstly,the power output modelings of three types of wind turbines are discussed.Secondly,the Jensen model is employed to simulate the wind farm with the wake effect.The Monte Carlo based technique is used to conduct the voltage stability evaluation incorporating the randomness of the wind speed based on the Weibull probability distribution.Thirdly,the relative sensitivity index(RSI)is calculated to identify weak buses during analysis.Finally,case studies with different simulation scenarios are carried out.Some statistical results involving weakness probability,expected value and variance of RSI as well as preliminary conclusions are drawn based on numerical simulation results.