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作 者:施金阳 SHI Jin-yang(China Energy Engineering Group Jiangsu Power Design Institute Co.,Ltd.,Nanjing 211102,China)
机构地区:[1]中国能源建设集团江苏省电力设计院有限公司,南京211102
出 处:《价值工程》2025年第9期102-104,共3页Value Engineering
摘 要:本研究旨在探索电力厂站适应性通信通道的设计与优化,以提高通信效率并确保电网的稳定运行。通过分析电力厂站的独特通信需求,采用自适应调制和编码技术,结合机器学习算法进行信道预测和传输策略调整。实验结果表明,所提出的设计方案能有效提高数据传输的成功率,降低延迟时间,减少数据丢包。研究结论强调,通过技术革新和安全机制的强化,可进一步优化电力通信系统,支持电网的高效与安全运行。The aim of this study is to explore the design and optimization of adaptive communication channels for power plant stations,in order to improve communication efficiency and ensure the stable operation of the power grid.By analyzing the unique communication requirements of power plant stations,adaptive modulation and coding techniques are adopted,combined with machine learning algorithms for channel prediction and transmission strategy adjustment.The experimental results show that the proposed design scheme can effectively improve the success rate of data transmission,reduce latency time,and minimize data packet loss.The research conclusion emphasizes that through technological innovation and strengthened security mechanisms,the power communication system can be further optimized to support the efficient and safe operation of the power grid.
分 类 号:TM76[电气工程—电力系统及自动化]
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