电力系统保护与控制2011，Vol.39Issue(2)：55-60,64,7.
一种基于HHT的电力系统短期负荷预测模型
A power system short-term load forecasting model based on HHT
摘要
Abstract
A short-term load forecasting model based on HHT is proposed.Due to the mode-mixing phenomenon when the power load data is decomposed by EMD and the problem of the IMF with high frequency is difficult to forecast, the first difference algorithm is used to improve EMD decomposing, then several IMFs and remainder without mode-mixing can be obtained.Through calculating and observing the spectrum of decomposed series, the low frequency IMFs are extracted and reconstructed, which can be forecasted with appropriate forecasting model.Since IMF 1 is mainly as the random component of load, factors such as temperature and weekday are taken into consideration, and PSO is used to optimize the combination weights.Simulation results indicate that PSO has higher forecasting accuracy.关键词
HHT/模态混叠/差分算法/频谱/粒子群算法优化Key words
HHT/ mode-mixing: difference algorithm/ spectrum: PSO分类
信息技术与安全科学引用本文复制引用
白玮莉,刘志刚,彭权威,周翔..一种基于HHT的电力系统短期负荷预测模型[J].电力系统保护与控制,2011,39(2):55-60,64,7.基金项目
教育部新世纪优秀人才支持项目(NECT-08- 0825) （NECT-08- 0825）
教育部霍英东青年教师基金资助项目(101060) （101060）
四川省杰出青年基金项目(07JQ0075) （07JQ0075）
