搜索资源列表
MPPT程序参考
- 风力发电电机组 风功率最大跟踪 技术
wind-power-prediction-
- 这是基于matlab的风功率预测模型及程序，与大家一起分享！-This is a matlab-based wind power prediction models and procedures, and to share with everyone!
ARMA
- ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析-ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi
ppt
- 这个PPT是讲解风功率和风速预测的几个小实验的例子。-The PPT is a few small experiments on wind power and wind speed forecasting example.
BP
- bp神经网络，其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
BP-perdict
- BP神经网络用于风功率预测，可以仿真出风功率以及每个点的误差-BP neural network is used to predict wind power, wind power can be simulated and error for each point
mxyc420
- 风功率预测控制 模型预测控制；状态空间；预测控制算法-Wind power prediction control model predictive control state space predictive control algorithm
脉动风时程matlab程序-1
- 计算脉动风时程曲线，可利用规范中的功率谱密度函数生成(Calculate of the time history curve of pulsating wind)
fengliji
- 风机前部分，对风功率模拟建模。模拟在恒定风速下，风机输出功率曲线(In the front part of the fan, the model of wind power is modeled. The output power curve of the fan is simulated under constant wind speed.)
load
- 风功率预测代码，附带源程序数据，可以直接运行(Wind power prediction code, with source code data, can be directly run.)
风功率预测matlab
- 用matlab进行风功率预测，最小二乘法(wind power data prediction based on matlab)
29132994PMSG_PWM4
- 该方案的功能是建立由风力发电机、单级光伏发电系统和储能电池直接驱动的风力发电和光伏发电的混合微电网模型。通过平滑电池的输出功率并平滑风和光伏功率来维持PCC电压。(The function of this program is to establish a hybrid micro grid model of wind power generation and photovoltaic power generation directly
kaimal_spectrum
- 脉动风功率谱，适用于对结构的分析，直接法求脉动风功率谱密度函数，同时适用于其他功率谱密度函数的求法(Source code of pulsating wind power spectrum)
AR风振程序
- 可以实现脉动风的模拟，用于将功率谱转化为目标谱，实现于时程分析。(The simulation of pulsating wind can be realized to transform the power spectrum into the target spectrum and realize the time history analysis.)
vmd
- VMD.分解程序-将序列分解为多个子序列，用于风速风功率等新能源预测(VMD. Decomposition Procedure - Used for Predictive Use.)
123
- 通过风电场的实际功率和预测功率进行风储功率容量配置(Wind Storage Power Capacity Configuration)
wind power forecasting based on EWT-KELM
- 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learnin
LSSVM
- 结合风场实时数据以及风场气象数据，分析了实时数据并制定了数据清洗规则；针对风电功率预测领域预测精度低的问题，采用lssvm算法进行预测。(Combined with real-time wind field data and wind field meteorological data, the real-time data was analyzed and data cleaning rules were formulated. Fo
kaimal_spectrum
- 功率谱繁衍生成时域序列随机风-谐波合成法(Generate Random wind)
arma
- 用于风功率预测的ARMA代码，可在matlab上运行，包含风电数据。(ARMA code for wind power prediction can be run on matlab, including wind power data)