神经网络组合在电能质量智能控制器中的应用  

Application of Combination of Neural Network in the Intelligent Controller of Power Quality

作　　者：虞昉 黄文焘[2] YU Fang;HUANG Wentao(State Grid Zhejiang Yuyao Power Supply Co.,Ltd.,Ningbo 315400,Zhejiang,China;School of Electronic Information and Electrical Engineer,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]国网浙江余姚市供电有限公司,浙江宁波315400 [2]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《实验室研究与探索》2020年第6期42-46,共5页Research and Exploration In Laboratory

基　　金：浙江省电力有限公司企业管理现代化创新项目(1823105);浙江省电力有限公司科技创新管理项目(1828134)。

摘　　要：基于CNC控制器的人工智能系统,运用综合神经网络算法提出了一种简单且能够循序渐进的电能质量综合控制系统。与传统的比例积分控制器(PI)和模糊逻辑控制器(FLC)相比,神经网络组合控制器系统可提高配电系统的电能质量。通过数值模拟模型和原型模型试验对比结果可知,提出的系统可以实现较高的额定功率,并可以达到较好的稳定状态和瞬态响应。研究结果可为类似电能质量智能控制器的研发提供一定的参考。Based on the artificial intelligence system of CNC controller,a simple and progressive integrated power quality control system is proposed by using the integrated neural network algorithm.Compared with the traditional proportional integral controller(PI)and fuzzy logic controller(FLC),the neural network combined controller system can improve the power quality of distribution system.In addition,through the comparison of the numerical simulation model and the prototype model test results,it can be seen that the system proposed in this paper can achieve higher rated power,and better stable state and transient response.The research results can provide a theoretical basis for the research and development of similar power quality intelligent controller.

关 键 词：电能质量补偿器 神经网络 模糊逻辑控制器 谐波失真 

分 类 号：TN757[电子电信—电路与系统]