引用本文:谢文旺,孙云莲,易仕敏,等.一种基于改进VPGA优化Elman神经网络的电力线通信数据处理算法[J].电力系统保护与控制,2019,47(6):58-65.
XIE Wenwang,SUN Yunlian,YI Shimin,et al.A data processing algorithm for power line communication based on Elman neural network optimized by improved VPGA[J].Power System Protection and Control,2019,47(6):58-65
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一种基于改进VPGA优化Elman神经网络的电力线通信数据处理算法
谢文旺1,孙云莲1,易仕敏2,王华佑1,徐冰涵1
(1.武汉大学电气与自动化学院，湖北 武汉 430072;2.广东电网责任有限公司，广东 广州 510620)
摘要:
为了提高宽带电力线通信系统的通信质量，基于宽带电力线通信系统的基本原理，构建了宽带电力线通信系统的仿真模型。以广东云浮某小区用户电表的实际采集数据作为原始数据，在500 m的四径信道模型下，分别引入了BP神经网络和Elman神经网络进行了通信质量的仿真测试。针对神经网络算法普遍存在的抗噪声性能差的缺点，提出一种基于改进VPGA优化的Elman神经网络用于电力线通信系统解映射模块的数据处理，并进行了仿真测试。实验结果表明，该算法不占用宝贵的频谱资源且实现方便，并且除去信号被噪声淹没等极端恶劣的信道环境以外，均可以显著提高宽带电力线通信系统的通信质量，降低误码率。
关键词:  电力线通信  OFDM  可变种群规模遗传算法  Elman神经网络  误码率
DOI：10.7667/PSPC180406
分类号:
基金项目:南方电网公司科技项目资助(035300KK52150007)
A data processing algorithm for power line communication based on Elman neural network optimized by improved VPGA
XIE Wenwang1,SUN Yunlian1,YI Shimin2,WANG Huayou1,XU Binghan1
(1. School of Electric Engineering and Automation, Wuhan University, Wuhan 430072, China;2. Guangdong Power Grid Co., Ltd., Guangzhou 510620, China)
Abstract:
In order to improve the communication quality of the broadband power line communication system and based on the basic principle of the broadband power line communication system, a simulation model of the broadband power line communication system is built. Taking the actual data collected from a district user’s electric meter in Yunfu of Guangdong Province as the original data, the BP neural network and Elman neural network are introduced to the simulation test of the communication quality under the 500 m four-path channel model. Aiming at the disadvantage of poor anti-noise performance of neural network algorithms, an Elman neural network based on improved VPGA optimization is proposed for the data processing of the de-mapping module of power line communication system, and the simulation test is carried out. Experimental results show that the algorithm does not occupy valuable spectrum resources and is convenient to implement. Except the extreme bad channel environment, the algorithm can significantly improve the communication quality of the broadband power line communication system and reduce the bit error rate. This work is supported by Science and Technology Project of China Southern Power Grid Company (No. 035300KK52150007).
Key words:  power line communication  OFDM  VPGA  Elman neural network  bit error rate
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