搜索资源列表
1-s2.0-S014206151200381X-main_2
- Energy storage system-based power control for grid-connected wind power farm
mcupqc
- 对风电场进行电能质量治理，对初学者很有用，值得下载学习(Power quality control for wind farm)
FF
- 这是一个风电潮流计算的程序，风电场有14节点和118节点，包含了平台数据和风场数据。(This is a program for wind power flow calculation.The wind farm has 14 nodes and 118 nodes.It includes platform data and wind field data.)
bem_test_2
- 用于风力发电的风电场测试，广泛用于新能源发电。(Wind farm for wind power testing,widely used in new energy power generation.)
zip
- 基于序阻抗的直驱风电场次同步振荡分析与锁相环参数优化设计((impedance modeling +PLL modeling) sequence impedance of direct drive wind power farm subsynchronous oscillation analysis and parameter optimization design based on PLL)
DFIG
- 基于MATLAB中的Simulink模块中的双馈风机仿真示例，在此基础上重新设定合理的风机、配网及大电网的参数，设计加入四分量叠加法的风速模型。同时设计了110KV电网电压突然下降，在风电场并网点选择不同模式下的仿真结果分析和35KV配网发生三相短路故障时的风电机组输出特性仿真(Based on the simulation example of the doubly fed fan in the Simulink module in MATLAB, the parameters of the
风场和电容器
- 电容器选址定容优化问题的实现方法，结合风电场问题给出解决方案。(The method for realizing the optimization of the capacitor's site-to-capacity optimization problem and the solution of the wind farm problem are given.)
风电模型MATLAB
- matlab 风机并网模型，对于风电场的模型搭建，及初学者有一定的帮助，风电场与电网的结合(Matlab fan grid-connected model, for the wind farm model building, and beginners have some help, the combination of wind farm and power grid)
5
- 某风电场每10min间隔的风速数据，日期为2011/4/12 23:55:00(Wind speed data of a wind farm every 10 minutes, date is 2011/4/1223:55:00)
ARIMA风速预测
- 用于风电场区域的风速多步预测问题。模型基于ARIMA，通过数据预处理、进行建模，并使用我国山东省两个风电场的历史风速数据进行测试和分析。结果表明，模型的统计误差小。(Multi-step wind speed prediction in wind farm area. The model is based on ARIMA, through data preprocessing, modeling, and using historical wind speed data of two wind
测风站测风资料
- 一些风电场实际的风速资料，可能不是特别适合瞬时风速建模，但希望也能对大家有用。(This document contains real wind farm data, maybe it is not suitable for the modeling of transient wind speed, but I wish it is still helpful for someone.)
SSA（樽海鞘群算法）
- 使用樽海鞘算法结合极限学习机，应用风电场数据，根据风速温度等条件对风功率进行预测，效果不错(The thalassella algorithm combined with extreme learning machine is used to predict wind power according to wind speed, temperature and other conditions with wind farm data)