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1.国家电网有限公司国家电力调度控制中心,北京市 100031
2.国网冀北电力有限公司,北京市 100054
3.武汉大学电气与自动化学院,湖北省武汉市 430072
4.国网冀北电力有限公司电力科学研究院,北京市 100045
董昱(1974—),男,硕士,教授级高级工程师,主要研究方向:电力系统调度运行与控制、水电及新能源调度。E-mail:dong-yu@sgcc.cn
孙荣富(1982—),男,博士,主要研究方向:风电调度运行、风电功率预测和电力系统运行可靠性分析。E-mail:hcxsrf@163.com
丁然(1987—),男,硕士,主要研究方向:新能源的调度运行。E-mail:ding.ran@sgcc.com.cn
冯帅帅(1997—),男,通信作者,博士研究生,主要研究方向:新能源并网控制。Email: fengshuaishuai@whu.edu.cn
收稿:2023-01-02,
修回:2023-07-17,
网络出版:2023-08-10,
纸质出版:2023-09-25
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董昱,孙荣富,丁然等.考虑风速不确定性的风电场暂态有功支撑能力在线评估方法[J].电力系统自动化,2023,47(18):101-110.
DONG Yu,SUN Rongfu,DING Ran,et al.Online Evaluation Method for Transient Active Power Support Capability of Wind Farm Considering Wind Speed Uncertainty[J].Automation of Electric Power Systems,2023,47(18):101-110.
董昱,孙荣富,丁然等.考虑风速不确定性的风电场暂态有功支撑能力在线评估方法[J].电力系统自动化,2023,47(18):101-110. DOI: 10.7500/AEPS20230102001.
DONG Yu,SUN Rongfu,DING Ran,et al.Online Evaluation Method for Transient Active Power Support Capability of Wind Farm Considering Wind Speed Uncertainty[J].Automation of Electric Power Systems,2023,47(18):101-110. DOI: 10.7500/AEPS20230102001.
风电高比例接入的电网在受扰后常规机组调频尚未启动的惯量响应阶段内调频资源匮乏,风电场可采用转子动能控制方式快速调整有功功率为电网提供频率支撑,且不影响风电场正常运行。同时,为便于电网侧制定调控策略,需在线评估各风电场的暂态有功支撑能力。以双馈风机为例,构建了考虑风机转速、轴系及逆变器安全限制的风电场暂态有功支撑能力优化模型,并针对模型约束需迭代计算引起的高复杂度,提出采用差分离散化等方法将模型转化为混合整数线性规划问题进行高效求解。同时考虑风速不确定性,提出采用核密度估计与拉丁超立方抽样对风速预测误差进行建模与采样,获取不确定条件下的评估结果。最后,以某实际风电场为例,说明了所提方法的有效性。
For a power grid integrated with high proportion of wind power
the frequency regulation resources are insufficient in the inertia response stage when the frequency regulation of conventional units has not been started after the system is disturbed. The wind farm can quickly adjust the active power by using the rotor kinetic energy control mode to provide frequency support for the power grid without affecting the normal operation of the wind farm. At the same time
in order to formulate the regulation and control strategies at the grid side
it is necessary for each wind farm to evaluate its transient active power support capability online. Taking the doubly-fed wind turbine as an example
an optimal model for the transient active power support capability of the wind farm is proposed considering the safety constrains of the wind turbine speed
shafting and inverter. Aiming at the high complexity caused by the model constraints which require iterative calculations
a difference discretization method is proposed to transform the model into a mixed-integer linear programming problem for efficient solution. Besides
considering the wind speed uncertainty
the kernel density estimation and Latin hypercube sampling are proposed to model and sample the prediction error of the wind speed
so as to obtain the evaluation results under uncertain conditions. Finally
an actual wind farm is taken as an example to illustrate the effectiveness of the proposed method.
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