| 粒子群优化BP算法在电力系统短期负荷预测中的应用 |
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| 引用本文： | 傅忠云. 粒子群优化BP算法在电力系统短期负荷预测中的应用[J]. 重庆理工大学学报(自然科学版), 2007, 0(10) |
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| 作者姓名： | 傅忠云 |
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| 作者单位： | 南京航空航天大学金城学院 南京210016 |
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| 摘 要： | 为提高电力系统短期负荷预测的精度,引入一种新型的群智能方法——粒子群优化算法,并将这种智能算法与BP算法相结合,形成了粒子群优化BP算法模型,建立了计及气象因素的短期负荷预测模型.通过具体算例将此模型与单纯的BP模型进行比较,结果表明:该算法具有较高的预测精度,完全能满足实际工程的要求.
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| 关 键 词： | 粒子群算法 BP模型 粒子群优化BP模型 短期负荷预测 |
Application of PSO-BP Algorithm in Electric Power System Short-term Load Forecast |
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| FU Zhong-yun. Application of PSO-BP Algorithm in Electric Power System Short-term Load Forecast[J]. Journal of Chongqing University of Technology(Natural Science), 2007, 0(10) |
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| Authors: | FU Zhong-yun |
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| Abstract: | To improve the accuracy of the short-term load forecasting,in this paper,a PSO-BP hybrid algorithm is formed,which is the combination of PSO and BP algorithm.Then,a short-term load forecasting model involving various influencing factors is built.The short-term load forecasting of a power system is performed using the mixed PSO-BP algorithm and improved BP algorithm respectively.The results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm and can meet the requirements of practical projects. |
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| Keywords: | PSO algorithm BP model PSO-BP model STLF |
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