智能电网对智能电表的要求及发展的影响

近年来,随着各种先进技术在电网中广泛应用,智能化显然已经成为了未来电网发展的必然趋势。智能电表作为智能电网建设的重要基础设备,对于加快推进智能电网的发展具有重要的意义。文中介绍了智能电表在智能电网中的应用现状,分析了智能电网对智能电表的要求及发展的影响。智能电表正走向模块化、系统化和网络化。     

智能电表在智能电网中的应用分析

随着科学技术的飞速发展,智能电网的应用越来越广泛。世界各国,特别是西方发达国家都在优先发展智能电网。在我国,智能电网也已经成为电力工业迎接未来挑战的唯一选择,是国家21世纪电力工业的前进方向。在实际应用中,电网运行者和用户能够及时的进行信息交换是智能电网的一个显著特点,就是要使每个用户真正成为电网的终端,一个重要的组成部分;让每个用户都可以为电网的高效安全地运行做出贡献。加快智能电表的发展对于电网实现智能化有着极其重要的支撑作用。本文通过智能电表的发展及应用现状,浅析了智能电表在智能电网中广泛应用的前景和措施。     

智能电表及其可靠性技术发展研究综述

智能电表是构成智能电网体系中的重要基础设备,它可以实现各种用户的计量数据采集、预付费管理、分时电价和阶梯电价等用电智能化管理的功能。简要介绍了智能电表的概念与构成原理,分析了智能电表技术发展的新特点及趋势,总结了智能电表可靠性技术的国内外发展现状。     

ADI瞄准智能电网市场 推出全新高精度电能计量IC

当前,各国正逐步实施智能电网规划,通过以智能电表取代普通电表的形式促进能源革命。据分析人士称,未来5年,随着智能电网部署的增长,智能电表在全球安装的数量将高达2亿块。在中国,与智能电网相关的5960亿美元经济刺激计划正在实施过程中,预计在未来3至5年内将部署1.7亿块智能电表。     

终端在智能电表现场检测中的应用

随着国内经济的快速发展,科学技术的不断进步,以及全球范围内的“智能电网”和高级智能电表现场检测体系中相关技术的建设不断深入,智能电表现场检测终端的合理、有效利用,在很大程度上,弥补传统电表向智能电表过度发展而引发的相关量检测的技术问题和缺口。伴随着全球范围内对智能电表的检测技术的深入研究,对当前阶段智能电表中终端的利用及其发挥的作用进行阐述,并总结和归纳智能电表的产生缘由和其在电网中的重要定位、功能。     

面向智能电表的异常检测综述

随着智能电网和计算机网络通信技术的发展,智能电表的普及应用越来越受到重视,智能电表作为电网与用户双向互动的桥梁,为电网高效计费管理和用户的合理用电带来了便利的同时也承担了恶意用户对智能电表端进行的数据窃取、数据篡改和恶意数据注入的风险,文章总结了智能电表端异常检测研究现状,并指出了未来可能的研究方向。     

刍议电子式智能电表的发展前景

电子式智能电表,是在电子式电表的基础上,研制开发的一种高科技智能电表,它集测量功能和通信功能于一身,更好地适应了新能源的使用和智能电网的发展,具有广阔的市场前景和发展空间。     

物联网的智能电表的功能与设计实现研究

随着智能电网战略发展的确定,其最为重要的基础设施智能电表被广泛的应用,用户对电力网络的要求也越来越高,所以提升智能电网的质量非常必要,新一代的智能电表终端功能主要是远程抄表、双向计量和双向通讯等,主要对智能电表的功能做出详细的介绍,本文对其功能技术进行设计,希望带来帮助。     

智能电表的特点以及在国内的普及

智能电网中采用的智能仪表技术,是一种有别于传统电子式多功能电能表的先进测量技术.它是跟多技术和功能的融合,提供更详尽的用电信息.本文主要介绍了智能电表的一些基本概念、特点,以及智能电表在国内目前的发展和普及状况.     

影响智能电表采集质量因素及改进措施

随着电子科学技术的不断革新，在当今的时代，智能电表已经被人们广泛的使用，而在整个智能电网的建设工作中对智能电表的采集是整个工作中的重中之重。本文分析了影响智能电表采集质量的各种因素，并针对性的提出了具体的解决措施。     

智能电表应用研究及其PLC通信芯片的设计

智能电表是智能电网的重要组成环节。本文首先对未来智能电表可能具备的功能做了定义与描述,其次对现有的应用于智能电表的通信技术的优缺点及适用领域进行了对比分析,然后举例提取了目前市场上存在的PLC通信芯片的关键技术．最后从芯片设计的角度给出了2种不同的PLC通信芯片的详细设计方案。     

基于AMI并采用DSP和ZigBee的智能电表的设计

智能电表在高级量测体系（AMI）的关键技术中占据着重要的地位。为使智能电表在精确计量电能的同时,使户内用电网络形成一个有机整体,实现双向通信和户内家电的控制,从而达到信息节能的目的,本文设计了一种能满足AMI系统需要的智能电表。介绍了智能电表的总体设计,采用DSP TMS320F5402的微控制器作中央控制单元,以高精度计量芯片作为测量平台,并配合ZigBee无线通信和外围电路实现对智能用户端的整体构建。实验表明,该表计量准确,实现了配电自动化,用电互动的要求。     

Density Based Fuzzy C Means Clustering to prolong Network Lifetime in Smart Grids

Wireless sensor networks (WSN's) are preferred for industrial applications due to progressive increase of sensor electronics. One such application is deployment of WSN's in smart grids. Smart Grid integrates information and communication techniques with electricity network. Smart grids utilize sophisticated control and monitoring devices for improving the efficiency of the grid. For energy efficient, low cost monitoring and control in smart grid WSN's is treated as a promising technology. Advanced Metering Infrastructure (AMI) is the key technology in the distribution networks of Smart Grid. The AMI is composed of various sensors for metering purpose. The meter data is also useful for the distribution operators to manage the demand response. The network involves smart meters, smart electric gas and water meters along with digital network management appliances for optimizing the electric network with real time data management. The smart sensors are limited in terms of battery, operational power and memory. These sensors communicate with the base station in restricted range. The communication between smart grid nodes and base station (sink) is multi-hop in nature. The communication takes place within limited range of communication so the security concerns that are involved in the network are to be handled by the routing protocols. So as to make the bidirectional communication efficient between the smart sensors and utility an effective routing scheme is required for these energy limited devices to handle the heavy network traffic in smart grids. Here energy efficient routing for WSN's in NAN networks to attain load balancing is proposed through density based Fuzzy C means clustering (DFCM). The obtained simulation results show that DFCM can provide a satisfactory performance for enhancing the network life span.

     

Channel discovery algorithms for interference avoidance in smart grid communication networks: a survey

Smart grid technology has attracted a lot of attention in the communication and power engineering communities because of its high efficiency and environmental friendly power production and delivery. Smart grid communication networks act as not only a bridge between the end power users and the utility but also a backbone of the entire smart grid system. It is a challenging task to deploy smart grid communication networks because of interference‐intensive environment. The goal of this paper is to explore various issues on deployment of smart grid communication networks. The first half of this paper provides a survey on smart grid communication networks. The background of smart grid communication networks is introduced, and the IEEE 802.15.4g standard for smart utility networks is reviewed. In addition, the issues on network topology and routing protocols of smart utility networks are addressed, followed by the discussions on optimizing gateway deployment. Various methods for addressing coexistence issues in smart grid communication networks are presented. The second half of this paper is to propose a channel discovery algorithm exploiting the inherent CSMA/CA mechanism in the protocols. Because of the use of CSMA/CA mechanism and up‐to‐date channel status table, the proposed algorithm can quickly find an available channel for transmission when interferences occur. Copyright © 2014 John Wiley & Sons, Ltd.     

基于多智能体系统的故障诊断技术在智能电网中的应用

伴随着智能电网系统的升级换代,电网规模日趋庞大,电网结构愈加复杂,智能电网的故障诊断与继电保护技术越发显得重要。当大规模智能电网系统发生复杂或多重故障时,仅靠单个系统信息和单一诊断手段很难解决故障诊断问题。文中针对大规模智能电网的故障诊断技术,引入了人工智能领域中具有分布式智能特性的多智能体系统模型,通过分模块故障特征信息捕捉机制及区域智能体并行诊断和全局智能体总体诊断的分单元协调诊断机制,在全局信息基础上实现智能电网的故障诊断。仿真测试案例表明,基于多智能体系统的故障诊断技术有效而可靠,并且具有较好的实时监测应用价值。     

Anomaly detection of smart metering system for power management with battery storage system/electric vehicle

A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time were obtained from 900 households of single apartments. To detect outliers and missing values in smart meter data, a deep learning model, the autoencoder, consisting of a graph convolutional network and bidirectional long short-term memory network, was applied to the smart metering technique. Power management based on the smart metering technique was executed by multi-objective optimization in the presence of a battery storage system and an electric vehicle. The results of the power management employing the proposed smart metering technique indicate a reduction in electricity cost and amount of power supplied by the grid compared to the results of power management without anomaly detection.     

电力通信技术在智能电网中的运用与相关研究

在社会市场经济背景下,智能网络建设已成为现代化建设事业发展的核心内容,智能电网建设的重要性不断显现.因此,本文作者站在客观的角度,多角度客观分析了电力通信与智能电网,多层次详细探讨了智能电网中电力通信技术的运用,新能源、配电、变电等方面,优化创新电力通信技术的基础上,提高新时期智能电网运营效益.     

主配网系统自动模型同步及动态数据传输技术研究

本文首先描述电力通信现有的发展状况,对其发展提出设想;其次论述智能电网的现状,阐述智能电网条件下的电力通信的应用和挑战。     

An Overview to the Concept of Smart Coupling and Battery Management for Grid Connected Photovoltaic Battery System

The paper gives an overview on the need for smart coupling for battery management in grid integrated renewable energy system (RES). Grid integrated photovoltaic (PV) battery system, as being popular and extensively used has been discussed in the paper. Smart coupling refers to intelligent grid integration such that it can foresee local network conditions and issue battery power flow management strategy accordingly to shave the peak PV and peak load. Therefore, a need for predictive energy management arises for smart integration to the grid and supervision of the power flow in accordance to the grid conditions. This is also a running project at the Institute of Energy Systems (INES), Offenburg University of Applied Science, Germany since January, 2015. The paper should provide insights to the motivation, need and gives an outlook to the features of desired predictive energy management system (PEMS).