大规模高集中度风电场出力多时空尺度爬坡特征分析、预测与控制

2016-05-14 09:39孙元章崔明建柯德平甘迪
科技创新导报 2016年6期
关键词:预测模型

孙元章 崔明建 柯德平 甘迪

摘 要:风电功率爬坡事件越来越影响风力机在电网中的运行,随之而来的爬坡事件预测问题成为国内外新的研究热点。综述了风电功率爬坡事件的研究背景、定义和特征,建立了考虑频率偏差量的含风力机的准稳态潮流计算模型,将频率偏差量和滑差修正量引入雅可比矩阵中进行含风力机的潮流计算,采用两种频率偏差指标PRESF指标和APRESF指标对爬坡事件进行预测。将所述预测模型应用于5节点和10机39节点系统进行算例仿真,对结果的对比分析验证了该方法的有效性。

关键词:频率偏差 风电功率 爬坡事件 预测模型 准稳态潮流

"The Analysis, Forecasting and Control of Wind Power Ramp Characters with Large-scale, High Concentration and Multiple Spatial and Temporal Scales "General Technology Report

Sun Yuanzhang Cui Mingjian Ke Deping Gan Di

(School of Electrical Engineering, Wuhan University)

Abstract:Wind power ramp events influenced the wind machine operation in power system more and more. Ramp events prediction problem becomes a new research hotspot at home and abroad. Research background, definitions and characteristics are summarized with respect to ramp events in this paper. Quasi steady state power flow calculation model is established with wind machine considering the constraint of frequency deviation value. Frequency deviation value and slip correction value is introduced into the Jacobi matrix to calculate the power flow. Two kinds of PRESF and APRESF index are adopted to forecast the ramp events considering the frequency constraint. The proposed forecasting model was applied to 5 nodes and 10 generators 39 nodes system for the validation simulation. The results verified the validity of the method with comparison and analysis.

Key Words:Frequency constraint; Wind power generation; Prediction model; Quasi steady power flow

阅读全文链接(需实名注册):http://www.nstrs.cn/xiangxiBG.aspx?id=48231&flag=1

猜你喜欢
预测模型
基于矩阵理论下的高校教师人员流动趋势预测
基于支持向量回归的台湾旅游短期客流量预测模型研究
基于神经网络的北京市房价预测研究
中国石化J分公司油气开发投资分析与预测模型研究
基于IOWHA法的物流需求组合改善与预测模型构建
基于小波神经网络的GDP预测
区域环境质量全局评价预测模型及运用
组合预测法在汽车预测中的应用
基于预测模型加扰动控制的最大功率点跟踪研究
我国上市公司财务困境预测研究