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作 者:高娟 吴润泽[1] 郝建红[1] 许晨[2] GAO Juan;WU Runze;HAO Jianhong;XU Chen(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 100876,China)
机构地区:[1]华北电力大学电气与电子工程学院,北京市102206 [2]北京邮电大学人工智能学院,北京市100876
出 处:《电力建设》2023年第4期119-129,共11页Electric Power Construction
基 金:国家自然科学基金资助项目(62071179)。
摘 要:可充电无线传感网(rechargeable wireless sensor network, RWSN)凭借其易部署、可扩展、自组网等特点,可全方位控制微电网源网荷储信息采集的深度和广度,提升微电网智能调度水平。孤岛微电网复杂的工作环境增加了传统人工运维以及移动充电装置补能的难度,因地制宜选取高密度光伏能量源构建面向孤岛微电网智能监测的分布式光伏供能无线传感网络(solar-powered wireless sensor network, SPWSN)能量自维持框架,研究光伏捕能簇头协同无线信息能量同步传输(simultaneous wireless information and power transfer, SWIPT)技术的能量调度策略,可以在全双工模式下为簇成员节点供能以满足网络监测需求。为实现网络能效最大化,提出了光伏捕能协同SWIPT能量调度优化算法,基于多层迭代解耦优化方法将强耦合非凸分数规划问题分解为光伏捕能簇头部署、簇头能量广播及时间分配、节点采样控制三个子问题进行优化求解。仿真结果表明,所提算法较现有算法在提高网络能效和光伏供能网络稳定性上有较大提升,满足信息采集系统的全时段监测需求,为孤岛微电网能量管理提供了一个绿色、高效、可持续的无人化信息采集系统。With the characteristics of easy deployment,self-organization and sustainability,the rechargeable wireless sensor network(RWSN)can control the depth and breadth of information sensing in all aspects of the microgrid flexibly,enhance the precise control and intelligent dispatch of the microgrid remote monitoring system.The complex working environment of islanded microgrids increases the difficulty of accessing stable power sources from the main network as well as the operation and maintenance of mobile charging devices.This paper selects high-density and easy-to-deploy solar energy as the main energy source of the network,and builds a distributed solar-powered self-sustainable WSN framework for smart monitoring of isolated microgrids,which investigates the energy scheduling with Simultaneous Wireless Information and Energy Transfer(SWIPT)for solar-powered cluster heads(SC),where the SC coordinates SWIPT to periodically broadcast energy to a set of wireless charging nodes in full-duplex mode,each member node exhausts the recharged energy for data sensing and forwarding.To maximize system energy efficiency,this paper proposes a solar harvesting collaborative SWIPT Energy Scheduling optimization problem,which jointly optimizes the deployment of SCs,the energy broadcast power with time allocation,and data sensing size under the constraint of the self-sustaining demand for network energy.Simulation results show that the proposed algorithm has improved the energy efficiency of the network and the stability of the PV energy supply network over existing algorithms,and meets the demand for full-time monitoring of the information collection system,providing a green,efficient and sustainable un-manned information collection system for the energy management of isolated microgrids.
关 键 词:光伏供能无线传感网络(SPWSN) 无线能量信息同步传输技术(SWIPT) 全双工模式 网络自维持 网络能效
分 类 号:TM732[电气工程—电力系统及自动化]
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