基于PSO-BP混合算法的短期电力负荷预测

The short-term electrical load forecasting based on PSO-RP hybrid algorithm

将粒子群优化算法和BP神经网络算法相结合,形成粒子群-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。

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.