| 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].重庆工学院学报,2007,21(19):93-96. |
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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 |
| 文章编号： | 1671-0924（2007）10-0093-04 |
| 收稿时间： | 2007-09-09 |
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 Institute of Technology,2007,21(19):93-96. |
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| Authors: | FU Zhong-yun |
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| Affiliation: | Jincheng College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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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 |
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| Keywords: | PSO algorithm BP model PSO-BP model STLF |
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