【作者】 王俊橙；

【导师】 王晓茹；

【作者基本信息】 西南交通大学 ， 电力系统及其自动化， 2013， 硕士

【摘要】 大规模风电并网后,风电场输出功率的波动对电力系统的安全稳定运行带来了巨大的挑战。其中,风电接入对系统功率平衡的影响是一个重要研究方面。进行风电功率预测和研究合适的风电场有功功率控制方式,有助于提高风电场的可调度性、降低风电功率波动对系统有功平衡的不利影响。对于风电功率预测方面,本文以某风电场为研究对象。首先,根据《风电功率预测功能规范》设计并实现了风电数据预处理算法,对风电场原始数据中的不良数据进行了修正。其次,建立了基于BP神经网络的短期风电功率预测模型,提供预测时刻之后96点风电场有功曲线；建立了基于时间序列算法的超短期风电功率预测模型,提供预测时刻之后15min的风电场功率。并在Matlab平台上验证了预测算法的有效性。在此基础上,设计了相应的风电功率预测系统(WPPS)的功能和框架,采用风电场提供的历史数据测试运行表明系统能够可靠工作。对于风电场有功功率控制方面,本文在双馈感应电机(DFIG)风电场的交流侧接入飞轮储能系统(FESS),研究了一种新的风电场输出功率平滑控制策略。对Matlab/Simulink仿真结果的定量分析表明,所提出的控制策略能跟踪风电场预测功率并有效平滑风电场较小的输出功率波动。更多还原

【Abstract】 With large-scale wind power integration into grid, the fluctuation of active power output of wind farm will become a big challenge for safe and stable operation of the power system. The influence of large-scale wind power integration on system power balance is a main area in research. In light of this issue, implement wind power prediction and study the appropriate active power control method of the wind farm will contribute to improve the schedulability of wind farm and avoid the adverse impact on system power balance due to the output fluctuation of wind farm.The paper was based on the research object of a wind farm in the respect of wind power prediction. First, wind farm data preprocessing algorithm was proposed according to the Function Specification of Wind Power Prediction System. The bad data of wind farm source data was amended. Second, a short-term prediction model based on BP neural network was established, which provided96-points active predicted power curve of wind farm after prediction time was confirmed; Meanwhile, an ultrashort-term prediction model based on time-series algorithm was established, which provided rolling prediction curve of15minutes in advance of wind farm. The effectiveness of the wind power prediction algorithm was verified in MATLB. Based on this, the function and framework of corresponding wind power prediction system (WPPS) was designed. The WPPS was tested by the historical data from wind farm and it’s shown that the WPPS could work reliably. In the respect of active power control of wind farm, flywheel energy storage system (FESS) was connected to AC side of the doubly-fed induction generator (DFIG) wind farm. Anew smooth control strategy to level the wind power fluctuation was studied. It was demonstrated by quantitative analysis of simulation results that the proposed control strategy can track predicted power of wind farm and smooth the small active power fluctuation of wind farm effectively.更多还原