Research on Zoning, Optimization, Stability, and Nonlinear Control of Wireless Network in Power Grid Communication

Diansheng Yang, Ming Ji, Yuntong Lv, Fangchu Zhao, Quanfeng Geng, J. Bhola
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引用次数: 3

Abstract

To explore the partition optimization and stability of telecommunication network under nonlinear control, a routing optimization algorithm for power control of distribution communication network is proposed, which is based on the Ad-hoc On-demand Distance Vector (AODV) routing optimization algorithm, based on the energy consumption model of wireless sensor network, the optimal routing mechanism for power control is constructed, and the optimal routing mechanism is used to select the route with low energy consumption to solve the problem of energy limitation of wireless sensor nodes. This paper aims at the network routing selection problem in the terminal information collection of the distribution network and designs the routing optimization algorithm of the wireless sensor network. Experimental results show that the model accuracy of the optimized model is 99.8%, the average residual error of the model is about 5.5[Formula: see text]nm, the model accuracy meets the requirements, and the method is effective. According to the confidence interval prediction results of wireless communication link reliability, a node power control system structure of wireless sensor network is proposed, and an optimal control algorithm of communication link quality and reliability of microgrid wireless sensor network based on fuzzy control is studied.
电网通信中无线网络的分区、优化、稳定性及非线性控制研究
为探讨非线性控制下电信网络的分区优化和稳定性问题,提出了一种基于Ad-hoc按需距离矢量(AODV)路由优化算法的配电通信网络功率控制路由优化算法,基于无线传感器网络能耗模型,构建了功率控制的最优路由机制。利用最优路由机制选择低能耗路由,解决无线传感器节点能量限制的问题。本文针对配电网终端信息采集中的网络路由选择问题,设计了无线传感器网络的路由优化算法。实验结果表明,优化模型的模型精度为99.8%,模型平均残差约为5.5 nm[公式:见文],模型精度满足要求,该方法是有效的。根据无线通信链路可靠性置信区间预测结果,提出了一种无线传感器网络节点功率控制系统结构,研究了基于模糊控制的微电网无线传感器网络通信链路质量和可靠性最优控制算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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