基于融合核心网的多频段电力无线专网研究

电力无线专网是全业务泛在电力物联网的重要支撑,国家电网公司积极研究提高电力无线专网可靠性、降低网络建设成本的方法,文中基于智能电网中不同业务应用场景和终端的通信需求,研究电力多频段无线通信系统中融合核心网(EPC)的实现方法,提出1800MHz和230MHz双频段融合的无线通信系统架构,设计研制了融合核心网系统,并在现场构建实验网进行了验证应用,测试结果表明该系统技术可靠,满足设计要求,对电力无线专网的灵活组网具有借鉴意义。     

浅谈用电信息采集异常数据消缺管理

用电信息采集系统是智能电网的重要组成部分,是实现与电力用户双向互动、提升用户服务能力、建立智能用电服务体系的技术基础.用电信息采集系统能够为"SG186工程"营销业务提供电力用户实时的用电信息数据,有利于推进公司营销管控标准化建设和公司信息化建设,也为提升电力需求侧管理水平、全面预付费的营销业务策略的实施提供技术支撑,符合国际电网技术发展的方向.     

TD-LTE技术在电力无线通信系统中的运用

随着社会和经济的不断发展,我国的综合国力也在不断的提升当中.目前我国的电力无线通信工程已经得到很好的发展,同时也存在不少的问题.为了能够解决在电力无线通信系统中存在的智能电网新型业务的现实问题,本文从TD-LTE技术在电力无线通信系统中的应用特性出发,对电力无线通信系统应用中存在的问题进行研究,目的是通过运用TD-LTE技术能够将电网更好地智能服务.     

基于WiMAX的新型用电信息采集系统的构建

如何有效利用有限的频谱资源,是电力信息化建设中的关键问题。本文提出了利用230M频段来构建一种基于WiMAX宽带无线技术的新型用电信息采集系统;并分别从搭建WiMAX无线基站、升级用电信息采集主站,改造现有用电信息采集系统网络结构及搭建网络智能监控系统等方面探讨了如何构建新型的用电信息采集系统;最后,给出了实际应用效果。实践结果表明230M WiMAX系统是构建面向智能用电领域的低成本、高速、高可靠性的新型无线通信网络,是构建基于多网融合的用电信息采集系统的理想选择。     

基于OPLC+xPON技术的“四网融合”研究与应用

智能电网让电力流、业务流、信息流实现有效融合。电力企业高速、实时、双向的通信网络为智能电网提供可靠的通信通道,满足电力企业各个生产环节(发、输、变、配、用电各个环节)信息采集、数据传递与处理的需求。通信网络使智能电网成为一个动态的、实时信息和电力交换互动的大型的基础设施。在城市中开展电力光纤入户及智能家庭试点工程建设,研究通信技术如何与电网业务相结合应用于电力用户,探索OPLC+XPON技术实现"四网融合"在智能用电小区的试点应用,探索智能小区建设模式,提升电力企业与电力用户之间的粘性,提升用电服务水平,促进智能用电小区有序发展,助力智慧城市建设。同时,电力企业也可探索性地开拓新的盈利模式,提升企业竞争力。     

智能小区PON+PFTTH技术应用

电力光纤到户采用光纤复合低压电缆(OPLC),实现电力流和信息流的同步传输,是电力通信网在智能电网用电环节的延伸,是进行用电信息采集、智能用电双向互动、推动社会资源共享的必然选择。文章以"三网融合"建设为切入点,分析了电力智能小区采用光纤复合电缆构建的PON+PFTTH技术的网络,提出电力智能小区"三网融合"和"用电信息采集"业务解决方案,通过应用光纤复合电力电缆,解决了电力网"最后一公里"信息化建设问题,解决了智能电网终端用电环节信息化,自动化,互动化的需求。     

EPON＋PFTTH网络在智能小区应用

以＂三网融合＂建设为切入点,分析了电力智能小区采用光纤复合低压电缆（OPLC）构建的EPON＋PFTTH技术的网络,提出电力智能小区＂三网融合＂和＂用电信息采集＂业务解决方案,通过应用光纤复合电力电缆,解决了信息高速公路＂最后一公里＂问题,解决了智能电网终端用户网络接入和用电信息交互的问题;并配合基于EPON技术,实现了智能小区数据、语音、视频业务的传送和电表数据的透明传输,满足智能电网用电环节信息化、自动化、互动化的需求。     

物联网与智能电网

针对我国智能电网的建设和发展特征,介绍了面向智能电网应用的传感器技术、信息通信网络技术以及数据融合技术等物联网应用关键技术,对支撑电力物联网的电力光纤专网、电力无线专网和电信运营无线宽带网络等长距离数据传输网络做了详细说明,最后对电力物联网典型应用场景中的输电线路在线监测技术、输变配电智能巡检系统、复合智能用电信息采集系统和电动汽车辅助管理系统4种技术做了阐述.对提升电力系统信息化水平、有效管理电力系统基础设施有一定意义.     

基于5G专网的智能电网业务实现方案

针对光纤网络、电力无线专网、Wi-Fi网络等电力通信网难以支撑输电线/变电站智能巡检、配网差动保护、广域相量测量、低压集抄等智能电网业务开展的情况，本文提出了基于5G专网的智能电网业务实现方案。即采用网络切片、边缘计算、高精度授时等5G技术，解决视频监测信号、“三遥”信号、电力终端感知信号等数据的灵活接入、实时传输和安全隔离等问题，实现电网运营数据的实时采集和智能控制。模拟仿真验证结果表明采用5G技术能满足智能电网业务对带宽、时延、抖动和安全的要求，可有效支撑智能电网业务实现。     

面向智能电网双向互动信息服务的通信组网方案设计

以建设智能电网对于智能用电的需求为出发点,研究了智能用电的关键技术以及智能用电新型服务,针对不同的用户设计了面向智能电网的双向互动信息服务系统以及通信组网方案。采用先进的双向互动通信技术、智能交互终端技术以及智能表计技术,为电网和用户之间的互动提供可靠的信息通道和网络支撑,并对应用层信息互动平台提出建设方案,构建了电网...     

Lifetime analysis of wireless sensor nodes in different smart grid environments

Wireless sensor networks (WSNs) can help the realization of low-cost power grid automation systems where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The WSN-based smart grid applications include but not limited to load control, power system monitoring and control, fault diagnostics, power fraud detection, demand response, and distribution automation. However, the design and implementation of WSNs are constrained by energy resources. Sensor nodes have limited battery energy supply and accordingly, power aware communication protocols have been developed in order to address the energy consumption and prolong their lifetime. In this paper, the lifetime of wireless sensor nodes has been analyzed under different smart grid radio propagation environments, such as 500 kV substation, main power control room, and underground network transformer vaults. In particular, the effects of smart grid channel characteristics and radio parameters, such as path loss, shadowing, frame length and distance, on a wireless sensor node lifetime have been evaluated. Overall, the main objective of this paper is to help network designers quantifying the impact of the smart grid propagation environment and sensor radio characteristics on node lifetime in harsh smart grid environments.     

基于LTE-230M的合肥电力无线专网建设分析

阐述合肥电力无线专网建设项目,分析合肥220 kV莲花、紫云变以及集控中心等地区的LTE-230M专网建设条件。经过严格的基站选址和设备分析,凭借LTE-230M系统覆盖面积广、建设成本低的特点,计划在合肥建设LTE-230M系统。与传统通信网络相比,LTE-230M系统优势明显,符合智能电网的发展需求。     

Software radio architecture with smart antennas: a tutorial onalgorithms and complexity

There has been considerable interest in using antenna arrays in wireless communication networks to increase the capacity and decrease the cochannel interference. Adaptive beamforming with smart antennas at the receiver increases the carrier-to-interference ratio (CIR) in a wireless link. This paper considers a wireless network with beamforming capabilities at the receiver which allows two or more transmitters to share the same channel to communicate with the base station. The concrete computational complexity and algorithm structure of a base station are considered in terms of a software radio system model, initially with an omnidirectional antenna. The software radio computational model is then expanded to characterize a network with smart antennas. The application of the software radio smart antenna is demonstrated through two examples. First, traffic improvement in a network with a smart antenna is considered, and the implementation of a hand-off algorithm in the software radio is presented. The blocking probabilities of the calls and total carried traffic in the system under different traffic policies are derived. The analytical and numerical results show that adaptive beamforming at the receiver reduces the probability of blocking and forced termination of the calls and increases the total carried traffic in the system. Then, a joint beamforming and power control algorithm is implemented in a software radio smart antenna in a CDMA network. This shows that, by using smart antennas, each user can transmit with much lower power, and therefore the system capacity increases significantly     

Delay-sensitive and multimedia communication in cognitive radio sensor networks

Multimedia and delay-sensitive data applications in cognitive radio sensor networks (CRSN) require efficient real-time communication and dynamic spectrum access (DSA) capabilities. This requirement poses emerging problems to be addressed in inherently resource-constrained sensor networks, and needs investigation of CRSN challenges with real-time communication requirements. In this paper, the main design challenges and principles for multimedia and delay-sensitive data transport in CRSN are introduced. The existing transport protocols and algorithms devised for cognitive radio ad hoc networks and wireless sensor networks (WSN) are explored from the perspective of CRSN paradigm. Specifically, the challenges for real-time transport in CRSN are investigated in different spectrum environments of smart grid, e.g., 500 kV substation, main power room and underground network transformer vaults. Open research issues for the realization of energy-efficient and real-time transport in CRSN are also presented. Overall, the performance evaluations provide valuable insights about real-time transport in CRSN and guide design decisions and trade-offs for CRSN applications in smart electric power grid.     

230 MHz电力无线专网通信终端设计与应用

IoT-G(Internet of Things-Grid)230 MHz是国家电网公司建设电力无线专网制定的体制标准之一.针对配用电业务终端的接入需求,基于IoT-G 230 MHz电力无线专网研发了远程通信终端,分别开展了软硬件设计、定时同步算法优化,以及性能测试,并选取用电信息采集业务进行挂网试点验证,结果表明该远程通信终端的性能指标满足测试规范的要求,能够承载用电信息采集业务.     

Smart grid sensor data collection,communication, and networking: a tutorial

The smart grid is an innovative energy network that will improve the conventional electrical grid network to be more reliable, cooperative, responsive, and economical. Within the context of the new capabilities, advanced data sensing, communication, and networking technology will play a significant role in shaping the future of the smart grid. The smart grid will require a flexible and efficient framework to ensure the collection of timely and accurate information from various locations in power grid to provide continuous and reliable operation. This article presents a tutorial on the sensor data collection, communications, and networking issues for the smart grid. First, the applications of data sensing in the smart grid are reviewed. Then, the requirements for data sensing and collection, the corresponding sensors and actuators, and the communication and networking architecture are discussed. The communication technologies and the data communication network architecture and protocols for the smart grid are described. Next, different emerging techniques for data sensing, communications, and sensor data networking are reviewed. The issues related to security of data sensing and communications in the smart grid are then discussed. To this end, the standardization activities and use cases related to data sensing and communications in the smart grid are summarized. Finally, several open issues and challenges are outlined. Copyright © 2012 John Wiley & Sons, Ltd.     

基于认知无线电的载波聚合技术

为了取得高达1 Gbit/s的峰值数据速率,3GPP LTE版本10引入载波聚合技术来扩展系统带宽,使其高达100 MHz.同时,认知无线电技术的发展也将促进各种新兴应用程序的发展,例如,公共安全、智能电网、宽带蜂窝网络等.因此,提出将载波聚合技术与认知无线电技术有效结合,利用载波聚合技术将使用认知无线电技术探测到的空闲频谱进行聚合,并将这两种技术协作得到的带宽资源按比例公平算法进行分配,通过仿真结果验证此项结合带来的带宽与传输速率的提高.毋庸置疑,此项创新将使未来无线通信发生革命性的变化.     

基于CC2430的无线传感器网络的实现

无线传感器网络是一项新兴的技术,具有广泛的应用领域。在简单介绍无线传感器网络的概念及其特点的基础上,着重讨论基于ZigBee技术和433 MHz无线射频技术的无线传感器网络的实现方法,包括无线传感器网络的硬件和软件设计。ZigBee是一种具有全球统一标准的自组织网状网,网络容量大、组网灵活。多个ZigBee网络的协调器节点通过433 MHz无线射频组成星型网,有效地扩大了传感器网络的地理覆盖范围。实验结果表明,网络节点及整体网络均获得了良好的性能,验证ZigBee是实现无线传感器网络的理想解决方案。     

基于加权队列的无线智能电网通信网采集数据流量调度算法

智能电网的关键技术之一是为电力数据采集提供一个高效、可靠、安全的双向通信系统。使用具有通信能力的先进电力计量设备(智能电表)组成无线mesh网络采集数据,存在应用层数据流量对网络通信性能的挑战,当大量数据流量突发时,与本地局域网关较近的智能电表将面临较大的通信压力,可能产生严重的数据拥塞。为此,该文基于多网关联合的思想,提出一个新的基于加权队列的流量调度算法以缓解拥塞。首先,对多网关联合网络进行分析,确定影响网络性能的主要因素。其次采用队列加权的方法,提出新的流量调度算法。最后进行网络仿真,相对其它算法,该文所提算法能够极大缓解数据突发时刻的系统拥塞,有效地降低时延,同时在系统各网关吞吐量之间取得良好的平衡,能够提高采集网络的通信性能。