基于PSO-BP混合算法的短期电力负荷预测 |
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引用本文: | 田丽,夏新运,蒋慧,张淑芳. 基于PSO-BP混合算法的短期电力负荷预测[J]. 自动化与仪器仪表, 2009, 0(2): 40-41 |
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作者姓名: | 田丽 夏新运 蒋慧 张淑芳 |
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作者单位: | 安徽工程科技学院安徽省电气传动与控制重点实验室,安徽芜湖,241000 |
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摘 要: | 将粒子群优化算法和BP神经网络算法相结合,形成粒子群一神经网络(PSO—BP)混合算法,建立了涉及各种影响因素的短期负荷预测模型。运用所建立的PSO-BP混合算法和BP算法的负荷预测模型进行短期负荷预测,比较所得结果可知,PSO-BP混合算法预测精度较高,效果较好。
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关 键 词: | 粒子群 PSO-BP混合算法 短期负荷 预测 |
The short-term electrical load forecasting based on PSO-RP hybrid algorithm |
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Abstract: | In this paper, a mixed PSO-BP algorithm is formed, which is the combination of PSO and BP neural network. Then, a shortterm load forecasting model involving various influencing factors is built. The short-term load forecasting of power system is performed using the mixed PSO-BP algorithm and BP algodthm. The simulation results indicate that this method has favorably high predicting precision. |
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Keywords: | PSO Mixed PSO-BP algorithm Short-term load Forecasting |
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