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1.三峡大学电气与新能源学院,湖北省宜昌市 443002
2.海南电网有限责任公司海口供电局,海南省海口市 570000
缪书唯(1989—),男,通信作者,博士,副教授,硕士生导师,主要研究方向:风电场风况建模、风电场并网系统可靠性评估和优化。E-mail:jabker@163.com
蒋晨(1998—),男,硕士研究生,主要研究方向:风电场规划。E-mail:syjc52@163.com
李丹(1980—),女,博士,讲师,工程师,硕士生导师,主要研究方向:负荷和新能源功率预测、电力系统不确定性分析、电力系统优化运行。E-mail:lucy2140@163.com
收稿:2021-03-16,
修回:2021-08-30,
网络出版:2021-11-02,
纸质出版:2022-02-10
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缪书唯,蒋晨,李丹等.基于互转换Ornstein-Uhlenbeck过程的风速仿真模型及应用[J].电力系统自动化,2022,46(3):75-84.
MIAO Shuwei,JIANG Chen,LI Dan,et al.Wind Speed Simulation Model and Application Based on Mutual Conversion Based Ornstein-Uhlenbeck Process[J].Automation of Electric Power Systems,2022,46(3):75-84.
缪书唯,蒋晨,李丹等.基于互转换Ornstein-Uhlenbeck过程的风速仿真模型及应用[J].电力系统自动化,2022,46(3):75-84. DOI: 10.7500/AEPS20210316004.
MIAO Shuwei,JIANG Chen,LI Dan,et al.Wind Speed Simulation Model and Application Based on Mutual Conversion Based Ornstein-Uhlenbeck Process[J].Automation of Electric Power Systems,2022,46(3):75-84. DOI: 10.7500/AEPS20210316004.
准确的风速仿真是研究含风能发电系统的重要且基础步骤。为此,提出基于互转换Ornstein-Uhlenbeck过程的风速仿真模型,该模型可产生任意时间步长的仿真风速样本,将其与时序Monte Carlo模拟法结合,提出仿真时间步长可变的含风能发电系统充裕度评估方法。然后,采用某观测站的实测风速样本验证所提模型,结果表明,模型产生的不同时间步长仿真风速样本具有与实测风速样本类似的概率分布特征和自相关特征。应用充裕度评估方法评估含风能IEEE-RTS发电系统充裕度,结果表明,期望失电频率对仿真时间步长的敏感度高于期望失电持续时间和期望失电量对仿真时间步长的敏感度,较大的仿真时间步长将导致对期望失电频率的过低估计,充沛的风能资源可增大风电场并网的充裕度效益。
Accurate wind speed simulation is a fundamental and important step in the study of wind-integrated generation systems. Hence
this paper proposes a wind speed simulation model based on mutual conversion based Ornstein-Uhlenbeck process
which is capable of producing simulated wind speed samples with any given time step. Consolidating such model into the sequential Monte Carlo simulation method
an adequacy assessment method for wind-integrated generation systems with variable simulation time steps is developed. Then
the measured wind speed samples from an observatory are used to verify the proposed model. The results indicate that the simulated wind speed samples with variable simulation time steps in the proposed model share similar probability distribution characteristics and autocorrelation characteristics with those of measured wind speed samples. The adequacy assessment method is applied to assess the adequacy of the wind-integrated IEEE-RTS generation system. The results indicate that the loss of load frequency presents higher sensitivity to the simulation time step than those of loss of load expectation and loss of energy expectation. A wide simulation time step will lead to the considerable underestimation for the loss of load frequency. Richer wind resources can further magnify the adequacy benefit of the wind farm integration.
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