智能电表的现状及发展趋势

对智能电表目前的发展现状和未来的发展趋势做了相关研究。分析了该产品的自身技术和行业特点及目前国内外智能电表的发展状况。说明在国家政策和智能电网发展的大环境下,智能电表作为重要的计量设备,进入了发展黄金期,这也为中国智能电表制造企业带来了新的商机。     

戴尔应用交付平台（VIS）对智能电网发展研究

智能电网概述 智能电网（smart power grids），就是电网的智能化，也被称为“电网2．0”，它是建立在集成的、高速双向通信网络的基础上，通过先进的传感和测量技术、先进的设备技术、先进的控制方法以及先进的决策支持系统技术的应用，实现电网的可靠、安全、经济、高效、     

公共信息模型在高级计量基础架构的应用研究

为了提升智能电网AMI领域中的信息集成水平,对IEC 61968公共信息模型进行研究,并结合AMI Enterprise提出的愿景进行简要分析,从技术角度,提出以公共信息模型为语义,以数据集成和应用集成技术为手段,实现电力配网用电侧智能表计数据资源的整合以及计量数据管理系统与企业信息管理系统的快速集成.     

下一代全球电网的基本模式

分析了智能电网在国际能源革命中的战略地位和中美两国能源效率改革的不同发展路径，提出互动电网是中国电网现代化的核心，是下一代全球电网的基本模式。阐述了互动电网释源，并结合中国国情给出了中国互动智能电网体系构架原则和技术流程要素。     

关于智能电网发展的几点思考

  [目的]  为了理清智能电网作为新一代能源体系核心平台的相关概念和发展思路。  [方法]  利用文献综述法梳理了微电网、泛能网和能源互联网的概念及其与智能电网的关系。结合我国的能源发展现状和战略需求，探讨了我国智能电网的建设思路和重点。  [结果]  智能电网是传统电力系统和现代信息技术的深度融合，而能源互联网是智能电网和互联网思维模式、技术的深度融合。智能电网是能源互联网的基础平台，微电网、泛能网、智能电网和能源互联网都以实现更加清洁、高效、灵活的用能为目标。  [结论]  智能电网建设应在强调高压侧智能化控制的同时，同步建设智能配电网，鼓励以多能互补为核心的泛能网的发展。     

面向智能电网的高级计量架构AMI的研究

高级计量架构(AMI)是一个用来测量、收集、储存、分析和运用用户用电信息的完整的网络和系统.概述了AMI技术的4大组成部分、AMI的作用及其和智能电网的关系.通过广域通信网络,AMI把用户和电力公司紧密相连,为将来配电自动化等智能电网功能的实现奠定基础.AMI实现的系统范围的测量和可视性能够大幅提升电力公司的运行机制和资产管理流程.     

高级量测体系及其在需求响应中的应用

针对智能电网用电环节建设的主要内容,概述了高级量测体系中智能电表、双向通信网络、量测数据管理系统和用户信息显示平台四大组成部分,着重介绍了通信网络的分层布局.调研了国外高级量测体系在需求响应中的应用情况,并归结为基于电价的需求响应、基于用电信息的需求响应和家庭智能设备的远程控制三类,为我国智能电网用电环节建设提供了参考.     

高压电能表在智能电网中的应用研究

介绍了智能电网中的高级计量体系和需求侧管理的概念,结合传统高压电能计量装置的若干问题,分析了新型高压电能表的工作原理,提出了高压电能表应用于智能电网中配网计量的主要应用方案,并结合实际运行情况进行了应用分析.     

智能电网技术的发展及其应用

叙述了包括量测、通信、信息管理、调度、电力电子和分布式能源接入等智能电网的关键技术,借助美国智能电网研究应用情况,归纳和评述了智能电网技术实现的功能。     

智能变电站技术的现状与发展趋势研究

智能变电站作为连接发电和用电的枢纽，是智能电网的基础，是保证电网安全可靠运行的关键环节。先对智能变电站技术的国内外研究现状进行分析，在此基础上对该技术的发展趋势进行了预测，并提出了未来该领域的重点研究方向，有利于推动智能电网创新发展。     

Behind the buzz [In My View]

The smart grid is a hot topic at utility executive meetings and broader transmission and distribution (T&D) utility forums across the country. The concept still elicits mixed reaction, but there is increasing agreement on a common defi nition of "smart grid," as well as an emerging confi dence that the smart grid embodies a set of technology investments that can transform the way service is delivered to customers. In addition to cost and service quality improvements, the smart grid is increasingly being linked to environmental goals, including attaining renewable-energy targets and reducing carbon emissions. A wide variety of players--venture capital companies, software and application providers, niche engineering firms--have entered the smart-grid value chain with material investments. Utilities are getting bolder in their program designs and in integrating smart-grid investments with their aspirations for energy effi ciency and renewables. State regulators have been approving pilot programs and building precedents with favorable investment decisions. With the development taking real shape, there are still areas to be cautious about, however. Systematic, wide-scale deployment of demand response has yet to be demonstrated. Systems integration is a considerable challenge. Worries regarding technology obsolescence continue, with new twists as new communications capabilities emerge.     

智能电网与中国互动电网创新发展

分析了欧美电网智能化创新发展的趋势,提出了互动电网的概念、本质、功效和洲际能源互动网络计划构想,阐述了中国发展互动电网的优势和战略重点,给出了推进中国互动电网战略创新发展的具体建议。     

Impact of charging efficiency variations on the effectiveness of variable-rate-based charging strategies for electric vehicles

The huge energy demand coming from the increasing diffusion of plug-in electric vehicles (PEVs) poses a significant challenge to electricity utilities and vehicle manufacturers in developing smart charging systems interacting in real time with distribution grids.These systems will have to implement smart charging strategies for PEV batteries on the basis of negotiation phases between the user and the electric utility regarding information about battery chemistries, tariffs, required energy and time available for completing the charging. Strategies which adapt the charging current to grid load conditions are very attractive. Indeed, they allow full exploitation of the grid capacity, with a consequent greater final state of charge and higher utility financial profits with respect to approaches based on a fixed charging rate.The paper demonstrates that the charging current should be chosen also taking into account the effect that different charging rates may have on the charging efficiency. To this aim, the performances of two smart variable-rate-based charging strategies, taken as examples, are compared by considering possible realistic relationships between the charging efficiency and the charging rate. The analysis gives useful guidelines for the development of smart charging strategies for PEVs as well as for next-generation battery charging and smart grid management systems.     

Improving energy efficiency and smart grid program analysis with agent-based end-use forecasting models

Electric utilities and regulators face difficult challenges evaluating new energy efficiency and smart grid programs prompted, in large part, by recent state and federal mandates and financial incentives. It is increasingly difficult to separate electricity use impacts of individual utility programs from the impacts of increasingly stringent appliance and building efficiency standards, increasing electricity prices, appliance manufacturer efficiency improvements, energy program interactions and other factors. This study reviews traditional approaches used to evaluate electric utility energy efficiency and smart-grid programs and presents an agent-based end-use modeling approach that resolves many of the shortcomings of traditional approaches. Data for a representative sample of utility customers in a Midwestern US utility are used to evaluate energy efficiency and smart grid program targets over a fifteen-year horizon. Model analysis indicates that a combination of the two least stringent efficiency and smart grid program scenarios provides peak hour reductions one-third greater than the most stringent smart grid program suggesting that reductions in peak demand requirements are more feasible when both efficiency and smart grid programs are considered together. Suggestions on transitioning from traditional end-use models to agent-based end-use models are provided.     

大型工业企业智能电网能量优化管理与决策支持系统

大型工业企业在我国社会和经济中起着十分重要的作用,同时也是我国能耗大户。大型工业企业电网的智能配用电集成技术已纳入我国智能电网重大科技产业化工程“十二五”专项规划。根据大型工业企业电网的特点,围绕提高供电质量和可靠性、节能降耗及生产过程协调等提出了大型工业企业智能电网构建的目标、框架,探索了智能关键设备和智能决策支持系统的构成,并以武汉钢铁（集团）公司电网为例提出典型示范应用构想。     

Ready or not,here comes the smart grid!

The “smart grid” represents one of the greatest potential advances in electricity delivery infrastructure in the past century. While the technologies that collectively comprise the smart grid have existed for decades, the potential for changing the way that electricity is generated, delivered, utilized and priced is revolutionary. Not surprisingly, many countries have undertaken initiatives to rollout smart grid infrastructure at an aggressive pace. Understanding the fundamental changes that the smart grid is likely to introduce is important for the development of future energy scenarios and the environmental, social and economic implications of these scenarios. Here we present an overview of the emerging smart grid and outline a few implications for the energy modeling community. Specifically, we discuss the potential for the smart grid to act as an enabling technology for renewable energy integration, price-responsive electricity demand, electrified transportation and distributed energy production as examples of how the smart grid may fundamentally change future energy system scenario development. The smart grid is being deployed and implemented much faster than we are able to fully consider its implications, and in some cases public policy has a long way to go before it catches up with the pace of smart grid technology deployment.     

How should grid operators govern smart grid innovation projects? An embedded case study approach

Grid operators increasingly have to collaborate with other actors in order to realize smart grid innovations. For routine maintenance, grid operators typically acquire technologies in one-off transactions, but the innovative nature of smart grid projects may require more collaborate relationships. This paper studies how a transactional versus relational approach to governing smart grid innovation projects affects incentives for other actors to collaborate. We analyse 34 cases of smart grid innovation projects based on extensive archival data as well as interviews. We find that projects relying on relational governance are more likely to provide incentives for collaboration. Especially non-financial incentives such as reputational benefits and shared intellectual property rights are more likely to be found in projects relying on relational governance. Policy makers that wish to stimulate smart grid innovation projects should consider stimulating long-term relationships between grid operators and third parties, because such relationships are more likely to produce incentives for collaboration.     

A review on the features and technologies for energy efficiency of smart grid

In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.     

Smart grid: hope or hype?

The smart grid is an important but ambiguous element in the future transition of the European energy system. The current paper unpacks one influential national vision of the smart grid to identify what kinds of expectations guide the work of smart grid innovators and how the boundaries of the smart grid are defined. Building on data from a scenario exercise within a large Danish smart grid project, we examine how the smart grid and the conditions for its realization are defined and delimited. Our findings show that the smart grid hype embodies several implicit expectations that serve to guide research and investment and to attract new players into the field. A scenario process such as that demonstrated in this article can serve to articulate some of these implicit assumptions and help actors to navigate the ongoing transition. On the basis of our analysis, European policymakers might consider how their (intentional or unintentional) choices serve to create or maintain certain boundaries in smart grid development: for example, an exclusive focus on electricity within the broader context of a sustainable energy system. As serious investment starts being made in the smart grid, concepts like the supergrid, flexible demand and a broader smart energy system will start competing with each other.     

A comparison of innovation policy in the smart grid industry across the pacific: China and the USA

Utilities are increasing their investment in smart grid technologies because of the rising demand for electricity, the aging transmission and distribution infrastructure in developed countries and the need for real-time visibility of energy supply and demand to optimize service reliability and cost. Government policies are contributing to this rising investment in the smart grid in many countries around the globe. Using Rothwell and Zegveld's innovation policy framework as a starting point, this paper compares innovation policy in smart grids across the Pacific; specifically, China and the USA. This research describes the policy tools used by both countries and presents results that indicate national preferences for innovation policy that differ in the ways in which they are linked with the state of the power system. China has preferred to use “supply-side policy,” which focuses on “public enterprise, scientific and technical development and legal regulation.” The USA has preferred to use “environmental-side policy,” which focuses on “scientific and technical development, financial, political and public enterprise.” This paper also describes in detail a number of innovation policies being pursued in the smart grid industry in both China and the USA.