| 引用本文: | 杨伟,章慧芸,仲海波.基于模糊神经网络的VSC-HVDC系统控制器的研究[J].电力系统保护与控制,2014,42(8):115-120.[点击复制] |
| YANG Wei,ZHANG Hui-yun,ZHONG Hai-bo.Research on controller of VSC-HVDC system based on fuzzy neural network[J].Power System Protection and Control,2014,42(8):115-120[点击复制] |
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| 摘要: |
| 对同步旋转坐标系下的VSC-HVDC系统的控制策略进行研究，针对传统的PI控制在大扰动下难以精确控制的缺陷，设计了一种新的控制方案及控制器。采用双环控制，其中内环电流控制器采用PI控制，而外环控制器采用模糊控制与人工神经网络相结合的控制策略，并采用遗传算法优化模糊神经网络的连接权值和隶属度函数。整流侧有功功率跌落、三相短路等情况下的仿真结果表明，此种控制方法在大扰动下的动态稳定性明显优于传统PI控制。 |
| 关键词: 模糊控制 人工神经网络 电压源换流器(VSC) 遗传算法 高压直流输电（HVDC） |
| DOI： |
| 投稿时间：2013-07-22修订日期：2013-10-28 |
| 基金项目: |
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| Research on controller of VSC-HVDC system based on fuzzy neural network |
| YANG Wei,ZHANG Hui-yun,ZHONG Hai-bo |
| (School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China) |
| Abstract: |
| The control strategy of VSC-HVDC system is studied. A new control scheme and a controller are designed to solve the deficiencies of conventional PI control that it is hard to control under a large disturbance precisely. This paper adopts double loop control, in which the inner loop controller uses PI control and the outer loop controller combines the fuzzy control and artificial neural network, and uses genetic algorithm to optimize fuzzy neural network connection weights and membership function. Simulation results of drop of rectifier active power and three-phase short circuit show that this control method’s response speed and response accuracy are significantly better than that of the traditional PI control under a large disturbance. |
| Key words: fuzzy control artificial neutral network voltage source converter (VSC) genetic algorithm high voltage direct current transmission (HVDC) |
