面向智能用电网络自适应脉冲耦合同步的谐波测量

发布时间：2018-08-04 13:06

【摘要】：电能谐波是评估智能用电网络电能质量的重要指标之一。采用无线网络实现智能用电中的谐波测量具有良好的扩展性和鲁样性,但对电能测量节点间的同步精度提出更高要求,因此测量网络下节点间的快速、高精度同步对实现准确谐波测量具有重要意义。面向智能用电网络下谐波测量,基于鲁棒性、扩展性好的脉冲耦合振荡(PCO)机制,提出一种针对测量网络节点密度自适应的快速网络同步方法。通过理论分析和实验研究网络参数和内置同步模型对PCO同步速率的影响。在智能用电测量网络下验证提出的同步方法,结果表明自适应优化模型在不同节点密度下相比于传统三角同步速率提高,平均同步误差降低30.1%,提高了智能网络下的谐波测量精度,优化了智能用电网络的电能质量。
[Abstract]:Power harmonic is one of the important indexes to evaluate the power quality of intelligent power network. Using wireless network to realize harmonic measurement in intelligent power consumption has good expansibility and robustness, but the synchronization accuracy between power measurement nodes is required to be higher, so the measurement of nodes in the network is fast. High precision synchronization is very important for accurate harmonic measurement. Based on the robust and extensible pulse-coupled oscillation (PCO) mechanism, a fast network synchronization method for measuring the node density of the intelligent power network is proposed, which is adaptive to the measurement of the network node density. The effects of network parameters and built-in synchronization model on PCO synchronization rate are studied theoretically and experimentally. The proposed synchronization method is verified under the intelligent electrical measurement network. The results show that the adaptive optimization model improves the synchronization rate compared with the traditional triangular synchronization rate under different node density. The average synchronization error is reduced by 30.1, which improves the accuracy of harmonic measurement under the intelligent network and optimizes the power quality of the intelligent power network.
【作者单位】：清华大学精密仪器系精密测试技术及仪器国家重点实验室;
【基金】：国家自然科学基金(61272428) 教育部博士点基金(20120002110067)资助项目
【分类号】：TM935

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