| 基于粒子群优化算法的神经网络在配电网线损计算中的应用 |
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| 引用本文： | 盛四清,王献志.基于粒子群优化算法的神经网络在配电网线损计算中的应用[J].电力系统保护与控制,2006,34(10):73-76. |
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| 作者姓名： | 盛四清 王献志 |
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| 作者单位： | 华北电力大学电气工程学院 河北保定071003 |
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| 摘 要： | 提出了一种将粒子群优化算法(PSO)训练神经网络用于配电网线损计算的方法。该方法使用由PSO训练的BP模型来拟合影响线损的特征参数与线损之间的复杂关系。实例计算表明,与BP算法及BP与GA结合算法比较,该方法在提高误差精度的同时可以加快训练收敛的速度。
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| 关 键 词： | 配电网 线损计算 粒子群优化算法 神经网络 BP模型 |
| 文章编号： | 1003-4897(2006)10-0073-04 |
| 收稿时间： | 2005-10-31 |
| 修稿时间： | 2005-11-28 |
Loss calculation of distribution system based on particle swarm optimization algorithm in ANN |
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| SHENG Si-qing, WANG Xian-zhi.Loss calculation of distribution system based on particle swarm optimization algorithm in ANN[J].Power System Protection and Control,2006,34(10):73-76. |
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| Authors: | SHENG Si-qing WANG Xian-zhi |
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| Affiliation: | School of Electrical Engineering, North China Electric Power University, Baoding 071003, China |
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| Abstract: | In this paper,a new method is presented for calculating the energy losses in distribution systems based on particle swarm optimization(PSO) algorithm in multi-layer artificial neural network.The method uses BP model trained by PSO to map the complicated relationship between the energy losses and the feature parameters which have influenced the line loss.Simulation results of practical example show that the method can improve the calculation accuracy and the speed of the convergence process compared with BP and BP trained by GA. |
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| Keywords: | distribution system line loss calculation particle swarm optimization(PSO) neural network BP model |
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