基于LMD-EE-ESN在误差修正下的光伏发电功率短期预测OA
Short-term prediction of photovoltaic power generation based on LMD-EE-ESN with error correction
针对光伏发电系统输出功率的不稳定现象,为提高光伏电能在并网运行时对其功率的调节能力,在对气象条件进行量化分析的基础上,提出了基于LMD-EE-ESN算法在迭代误差修正下实现光伏发电功率短期预测的方法.首先,通过对气象条件的模糊聚类处理,以晴朗、雨天或雪天、多云和多变天气四种典型天气下的光伏发电功率曲线为参考,分别进行局部均值分解(Local mean decomposition,LMD),并以各自的能量熵(Energy entropy,EE)作为…查看全部>>
Considering the instability of the output power of photovoltaic(PV) generation system,to improve the power regulation ability of PV power during grid-connected operation,based on the quantitative analysis of meteorological conditions,a short-term prediction method of PV power based on LMD-EE-ESN with iterative error correction was proposed.Firstly,through the fuzzy clustering processing of meteorological conditions,taking the power curves of PV power generat…查看全部>>
余向前;李政
国家电网甘肃省电力公司张掖供电公司,甘肃张掖 73400西南交通大学电气工程学院,四川成都 610097
光伏发电系统短期预测局部均值分解能量熵回声状态网络
photovoltaic(PV) power generation systemshort-term forecastlocal mean decomposition(LMD)energy entropy(EE)echo state network(ESN)
《测试科学与仪器》 2024 (3)
360-368,9
This work was supported by National Natural Science Foundation of China(No.516667017).
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