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| 摘要: |
| 针对跨区域互联电力系统负荷频率控制的严重非线性,及传统PID控制稳定性差、超调严重、响应速度慢,提出了将小波神经网络与传统PID控制相结合的控制模型。PID完成区域电网内的二级负荷频率控制,区域控制偏差作为有2个小波神经元的神经网络输入,输出用于共同控制负荷频率稳定。网络还采用了负反馈提高学习收敛速度,网络参数采用梯度法结合遗传算法寻优确定。仿真实验结果表明,该方案具有较好的控制效果和鲁棒性。 |
| 关键词: 小波神经网络,负荷频率控制,PID控制,互联电力系统 |
| DOI： |
| 分类号:TM761.2 |
| 基金项目: |
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| Load-frequency control based on wavelet neural network and PID control |
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LUO Bing ZHANG Yun HUANG Hong-mei
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| Abstract: |
| The serious non-linearity of multi-area electric power system causes the bad stability,overshoot and slow response of conventional PID control.A LFC(Load Frequency Control)approach is proposed,which combines wavelet neural network with conventional PID control.Within an area,2-loop LFC is implemented by PID control,while the area control error is applied as inputs for wavelet neural network to stabilize frequency.Conjugate gradients are used for calculating parameters and feedback for convergence.Simulation experiment verifies its effective results. |
| Key words: wavelet neural network,load frequency control,PID control,interconnected power system |
