基于PDST-EEF机制的智能电网网络安全框架研究

无线传感器网络(WSN)可以实现智能电网的实时监测和控制,但其能源使用具有一定的约束限制。同时,拒绝服务威胁(如Do S和重放攻击)对智能电网网络安全产生严重破坏。为了解决这些问题,提出了基于便携式和数据安全容忍度的节能框架(PDST-EEF)。PDST采用加密签名认证方法来检测不同的攻击,从而保证数据隐私。EEF适用于智能电网跟踪,其以各个阶段为模型,如识别波腹、组群开发和密钥分配等,在保持长期延迟的情况下以更高的效率技术运行,以较少的能源实现电网网络安全可靠的运行。实验结果表明,PDST-EEF能够在保持持续性能和可靠性的同时以较少的能源使用量运行,而且相较于传统机制,能源使用量降低5.06%。

基于复杂网络的智能电网网络攻击影响分析研究

文章基于复杂网络理论,将智能电网抽象为由节点、边构成的拓扑网络结构,分别从仿真网络构建和网络攻击仿真模拟两个方面建立了基于复杂网络理论的智能电网网络攻击仿真流程。首先,构建仿真网络并分析仿真网络节点度分布和节点度数累积概率分布情况,得出该网络为无标度网络的结论。其次,进行网络攻击仿真模拟,设置两种攻击情形,分别为针对智能电网全部网络节点进行随机攻击(情形1)和针对智能电网网络中度数大于最大度数80%的节点进行攻击(情形2),通过对比分析两种攻击情形中的网络聚类系数、平均度、平均路径长度的变化特征,得出在对网络聚类系数的降低方面,情形1的作用小于情形2的作用;在平均度变化和网络平均路径长度影响方面,情形1的影响高于情形2。

电力系统智能电网通信网络规划方案研究

针对目前电力系统运行过程中存在的管理缺陷,文章分析了研究系统智能电网通信网络的现实意义与电网通信网络规划目标,并提出了相应的网络规范方案,其目的是为相关建设者提供一些理论依据。

区域电网调度智能防误网络发令系统研发

为了防止电网调度误操作所致的电网事故，研发了具备智能防误功能的区域电网调度网络系统。该系统采用面向服务的架构，利用PAS，SCADA系统、调度管理系统（DMIS）等资源实现调度指令的网络化流转，并通过状态校核、逻辑校核、下令流程校核等安全防误措施增强电网调度操作的安全性。该系统还实现了操作票数据接入、智能校验、网络发令、综合查询、智能日志等系统的互联和闭环操作。

基于SDN的智能通信电网浅谈

由于用户对电力的需求不断增加、基础设施陈旧和可靠性问题,当前的电网不再是一种可行的解决方案,因此需要向更好的电网转型,也称为智能电网(SG)。SG与传统电网的主要区别在于其执行双向通信、需求侧管理和实时定价的能力。尽管SG将带来所有这些优势,但仍存在一些特定于SG通信(SGC)系统的问题。例如,当前SG系统的网络管理是复杂的、耗时的,并且是手动完成的。此外,SGC系统建立在不同的供应商特定设备和协议之上。因此,当前的SG系统不是独立于协议的,从而导致互操作性问题。软件定义网络(SDN)已被提议用于在全球范围内监控和管理通信网络。SDN通过将控制平面与数据平面分离,帮助网络运营商灵活管理网络。由于SG严重依赖通信网络,因此SDN也为进入SG铺平了道路。通过在SG系统中应用SDN,可以潜在地提高效率和弹性。SDN以其可编程性、协议独立性和粒度特性,可以帮助SG集成不同的SG标准和协议,应对多样化的通信系统,帮助SG进行流量编排,满足特定的SG服务质量要求。本报告是对基于SDN的SGC的综合调查。在本报告中,我们首先讨论了基于SDN的SGC的背景以及意义。然后,我们对基于SDN的SGC目前的研究现状进行了陈述。最后,我们还讨论了基于SDN的SGC的相关的挑战、未解决的问题和未来的研究方向。

江津城区智能配电网云服务网络数据中心的架构设计

基于传统的江津城区智能配电网云服务网络数据调度信息化建设的缺陷,提出了海量的江津城区智能配电网云服务网络数据调度信息江津城区智能配电网云服务网络化控制系统来管理江津城区智能配电网云服务网络的江津城区智能配电网云服务网络数据调度信息资源。基于江津城区智能配电网营销江津城区智能配电网云服务网络化控制系统的江津城区智能配电网云服务网络数据调度信息挖掘识别研究,主要体现在面江津城区智能配电网云服务网络数据调度信息海量虚拟化存储于数据仓库区域;优化江津城区智能配电网云服务网络数据平台架构设计方面以及架构设计优化物理网络映射安全等综合性能。

电网智能网络巡检一体化系统的研究与应用

智能网络巡检一体化系统主要是对架空电力线路巡检及变电站巡检方式方法的一种提升,此系统主要为无人机全方位精细化巡检+电力线路远程视频在线监控装置巡检+电力线路接点无线测温+开关柜无线测温装置相结合的方式。智能网络巡检一体化系统的现场实际应用不仅提高了运维人员对变电站、电力线路各类巡视检查的质量,而且最大程度地节省了各方面的人力物力,有效提升了工作效率。

云粒子群算法环境下江津城区智能电网控制系统应用分析

基于传统江津城区智能电网控制系统视角下江津城区智能电网云服务网络控制平台在云桌面江津城区智能电网云服务网络虚拟化存储物理与分析等方面的不足,提出基于江津城区智能电网云服务网络控制的江津城区智能电网控制系统江津城区智能电网云服务网络控制平台。同时利用江津城区智能电网云服务网络控制在江津城区智能电网控制系统安全感知识别、系统云桌面江津城区智能电网云服务网络虚拟化存储物理恢复与监控等领域的应用。

智能电表的安全需求与策略分析

智能电表是高级测量体系(AMI)的重要基础,而高级测量体系又是智能电网的重要组成部分。通过对智能电表的各种信息安全问题的探讨,对由互联网用户合法权益遭到威胁和侵害而引发的安全问题进行了思考,介绍了智能电表中存在的安全隐患和安全需求。采用基于数据加密(DES)、RSA公钥加密算法加密数据,实现身份认证等通信方案来保证数据通信的安全性,以确保用户和供电企业双方的利益。

Smart Grids with Intelligent Periphery:An Architecture for the Energy Internet

A future smart grid must fulfill the vision of the Energy Internet in which millions of people produce their own energy from renewables in their homes, offices, and factories and share it with each other. Electric vehicles and local energy storage will be widely deployed. Internet technology will be utilized to transform the power grid into an energysharing inter-grid. To prepare for the future, a smart grid with intelligent periphery, or smart GRIP, is proposed. The building blocks of GRIP architecture are called clusters and include an energy-management system （EMS）-controlled transmission grid in the core and distribution grids, micro-grids, and smart buildings and homes on the periphery; all of which are hierarchically structured. The layered architecture of GRIP allows a seamless transition from the present to the future and plug-and-play interoperability. The basic functions of a cluster consist of （1） dispatch, （2） smoothing, and （3） mitigation. A risk-limiting dispatch methodology is presented; a new device, called the electric spring, is developed for smoothing out fluctuations in periphery clusters; and means to mitigate failures are discussed.

Top-K Query Framework in Wireless Sensor Networks for Smart Grid

The smart grid has caught great attentions in recent years, which is poised to transform a centralized, producer-controlled network to a decentralized, consumer- interactive network that＇s supported by fine-grained monitoring. Large-scale WSNs （Wireless Sensor Networks） have been considered one of the very promising technologies to support the implementation of smart grid. WSNs are applied in almost every aspect of smart grid, including power generation, power transmission, power distribution, power utilization and power dispatch, and the data query processing of ＇WSNs in power grid＇ become an hotspot issue due to the amount of data of power grid is very large and the requirement of response time is very high. To meet the demands, top-k query processing is a good choice, which performs the cooperative query by aggregating the database objects＇ degree of match for each different query predicate and returning the best k matching objects. In this paper, a framework that can effectively apply top-k query to wireless sensor network in smart grid is proposed, which is based on the cluster-topology sensor network. In the new method, local indices are used to optimize the necessary query routing and process intermediate results inside the cluster to cut down the data traffic, and the hierarchical join query is executed based on the local results.Besides, top-k query results are verified by the clean-up process, and two schemes are taken to deal with the problem of node＇s dynamicity, which further reduce communication cost. Case studies and experimental results show that our algorithm has outperformed the current existing one with higher quality results and better efficiently.

Smart Grid Cyber Security： An Overview of Threats and Countermeasures

The smart grid is the next generation of power and distribution systems. The integration of advanced network, communications, and computing techniques allows for the enhancement of efficiency and reliability. The smart grid interconnects the flow of information via the power line, intelligent metering, renewable and distributed energy systems, and a monitoring and controlling infrastructure. For all the advantages that these components come with, they remain at risk to a spectrum of physical and digital attacks. This paper will focus on digital vulnerabilities within the smart grid and how they may be exploited to form full fledged attacks on the system. A number of countermeasures and solutions from the literature will also be reported, to give an overview of the options for dealing with such problems. This paper serves as a triggering point for future research into smart grid cyber security.

Genetic Algorithm-Based Redundancy Optimization Method for Smart Grid Communication Network

This paper proposes a redundancy optimization method for smart grid Advanced Metering Infrastructure(AMI) to realize economy and reliability targets.AMI is a crucial part of the smart grid to measure,collect,and analyze data about energy usage and power quality from customer premises.From the communication perspective,the AMI consists of smart meters,Home Area Network(HAN) gateways and data concentrators;in particular,the redundancy optimization problem focus on deciding which data concentrator needs redundancy.In order to solve the problem,we first develop a quantitative analysis model for the network economic loss caused by the data concentrator failures.Then,we establish a complete redundancy optimization model,which comprehensively consider the factors of reliability and economy.Finally,an advanced redundancy deployment method based on genetic algorithm(GA) is developed to solve the proposed problem.The simulation results testify that the proposed redundancy optimization method is capable to build a reliable and economic smart grid communication network.

Information System Functions for SmartGrid Management

The violently penetration of renewables in power supply network leads to situations, by which the offer exceeds the demand. Therefore, it is necessary to include a system for processes＇ management. SmartGrid is a platform over the power supply network. It is represented with its network and services, which also have to be managed. The paper aims to show the second stage of SmartGrid management modeling. It meets heterogeneous requirements of the actors--subscriber without photovoltaics, subscriber with photovoltaics, service provider, network operator, and network elements operator--to service and network management and is oriented to functional areas, covering the life cycle of power supply service： Design, Planning, Installation, Provision, Configuration, Maintenance, Performance, Accounting, Buying Up, Security and Subscriber Control. Functional models for existing networks--telecommunications--are used and they are adapted to power supply. The results are illustrated with three functional areas for service management： Accounting, Buying Up, and Performance. The synthesis of network management functions and network element management functions are similar.

Traffic Scheduling Mechanism Based on Interference Avoidance for Meter Data Collection in Wireless Smart Grid Communication Networks

Meter Data Collection Building Area Network(MDCBAN) deployed in high rises is playing an increasingly important role in wireless multi-hop smart grid meter data collection. Recently, increasingly numerous application layer data traffic makes MDCBAN be facing serious communication pressure. In addition, large density of meter data collection devices scattered in the limited geographical space of high rises results in obvious communication interference. To solve these problems, a traffic scheduling mechanism based on interference avoidance for meter data collection in MDCBAN is proposed. Firstly, the characteristics of network topology are analyzed and the corresponding traffic distribution model is proposed. Next, a wireless multi-channel selection scheme for different Floor Gateways and a single-channel time unit assignment scheme for data collection devices in the same Floor Network are proposed to avoid interference. At last, a data balanced traffic scheduling algorithm is proposed. Simulation results show that balanced traffic distribution and highly efficient and reliable data transmission can be achieved on the basis of effective interference avoidance between data collection devices.

A Parallel Approach for Real-Time Power Flow in Distribution Networks

The new reality of smart distribution systems with use of generation sources of small and medium sizes brings new challenges for the operation of these systems. The complexity and the large number of nodes requires use of methods which can reduce the processing time of algorithms such as power flow, allowing its use in real time. This paper presents a known methodology for calculating the power flow in three phases using backward/forward sweep method, and also considering other network elements such as voltage regulators, shunt capacitors and sources of dispersed generation of types PV （active power and voltage） and PQ （active and reactive power）. After that, new elements are introduced that allow the parallelization of this algorithm and an adequate distribution of work between the available processors. The algorithm was implemented using a multi-tiered architecture; the processing times were measured in many network configurations and compared with the same algorithm in the serial version.

Additional Overloading Assessment for Future Low Voltage Networks Based on Smart Metering

The purpose of this article is to present an additional overloading assessment scheme to the current protection scheme, which can be applied in the low voltage distribution network to prevent overloading of network assets. As higher penetration of distributed generators is envisioned among distribution networks, the network operators will have an challenging task in the future to maintain the reliability and quality of supply. The distribution networks are going to be challenged simultaneously by increasing penetration of distributed generators and by increasing loading （inter alia heat pumps, air conditioners or electric vehicles）, which will change the operational perspective of the future distribution networks. Presented simulation results show that the increasing penetration of those appliances can jeopardize the functionality of current protection scheme in distribution networks. Therefore, an additional scheme for assessment of network overloading applicable at low voltage distribution networks is proposed and the application of this scheme, supported by smart metering infrastructure, is demonstrated in a case study. The proposed overloading assessment scheme should help the network operators to increase the flexibility of distribution networks, their hosting capacity, safety and reliability.

广电行业开展OTT TV业务要点问题初探

本文主要从OTT TV管控政策环境、OTT TV带给广电的发展机遇、广电发展OTT TV的策略、广电切入OTTTV业务的关键环节、OTT TV产业化发展现状等方面,对广电行业开展OTT TV业务要点问题进行探讨。

Design and Realization of Distribution Network Intelligent Monitoring based on GSM Network

the power network fault detection system can only analyze all kinds of fault signal in stationary sequence： the internal grid and external disturbance presents degeneration, tiny, signal intensity changes randomly fluctuate, that will cause the system to detect the fault isolation ability of confusion and small fault signal is not strong; The article propose a method of power network fault detection for based on GSM, Through the underlying sensing equipment acquisition abnormal information of current, voltage power in the network and GSM networking scheme can filter the interference factors in extraction of fault information from and attribute value. The embedded gateway take STM32 chip as the core to monitoring data processing, to achieve a unified data management and user remote access, realizing method of system software are given, to construct the monitor management information platform. The actual test system show that, identification diagnosis ability of fault signal separation ability and small signal increases 17%, also meet the requirements.

A reliable opportunistic routing for smart grid with in-home power line communication networks

The topology of in-home power line communication(PLC) networks varies frequently, which makes traditional routing algorithms failure. To solve this problem, an end-to-end transmission time for remaining path(TTRP) metric-based opportunistic routing(TTRPOR) is proposed. Since a local broadcasting scheme is adopted, the algorithm can find the optimal path for forwarding packets in a dynamic PLC network. The closed-form of the outage probability for a PLC channel is derived to estimate the TTRP. It is proved that the average throughput can achieve maximum as the metric TTRP is utilized to sort candidate forwarding nodes.Numerical results show that the end-to-end throughput of networks with TTRPOR, outperforms that of the network adopting DSR and EXOR, especially for the case of varying-topology in-home PLC networks.