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Wind power forecasting error-based dispatch method for wind farm cluster

机译:基于风电预测误差的风电场群调度方法

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With the technical development of wind power forecasting, making wind power generation schedule in power systems become an inevitable tendency. This paper proposes a new dispatch method for wind farm (WF) cluster by considering wind power forecasting errors. A probability distribution model of wind power forecasting errors and a mathematic expectation of the power shortage caused by forecasting errors are established. Then, the total mathematic expectation of power shortage from all WFs is minimized. Case study with respect to power dispatch in a WF cluster is conducted using forecasting and actual wind power data within 30 days from sites located at Gansu Province. Compared with the variable proportion method, the power shortage of the WF cluster caused by wind power forecasting errors is reduced. Along with the increment of wind power integrated into power systems, the method positively influences future wind power operation.
机译:随着风力发电预测技术的发展,使得电力系统中的风力发电调度成为必然趋势。考虑风电预测误差,提出了一种新的风电场(WF)集群调度方法。建立了风电预测误差的概率分布模型和由预测误差引起的电力短缺的数学预期。然后,所有WF的功率短缺的总数学期望被最小化。在WF集群中进行电力分配的案例研究是使用位于甘肃省站点30天之内的预报和实际风能数据进行的。与可变比例法相比,减少了由风电预测误差引起的WF集群的电力短缺。随着集成到电力系统中的风力发电量的增加,该方法对未来的风力发电运行产生积极影响。

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