Supply chain intelligence for electricity markets: A smart grid perspective

Smart grid technologies are bringing innovations in electrical power industries, affecting all parts of the electricity supply chain, and leading to changes in market structure, business models and services. In this paper we introduce a model of business intelligence for a smart grid supply chain. The model is developed in order to provide electricity markets with the necessary data flows and information important for the decision making process. The proposed model offers a way to efficiently leverage the new metering architecture and the new capabilities of the grid to reap immediate business value from the huge amounts of disparate data in emerging smart grids. The model was evaluated for the Serbian electricity market in the electric power transmission company Public Enterprise “Elektromre?a Srbije”. The results show that business intelligence solutions can contribute to a more effective management of smart grids, in order to ensure that companies achieve sustainability in the increasingly competitive electricity markets, while still providing the high quality services to end users.     

The role of communication systems in smart grids: Architectures,technical solutions and research challenges

The purpose of this survey is to present a critical overview of smart grid concepts, with a special focus on the role that communication, networking and middleware technologies will have in the transformation of existing electric power systems into smart grids. First of all we elaborate on the key technological, economical and societal drivers for the development of smart grids. By adopting a data-centric perspective we present a conceptual model of communication systems for smart grids, and we identify functional components, technologies, network topologies and communication services that are needed to support smart grid communications. Then, we introduce the fundamental research challenges in this field including communication reliability and timeliness, QoS support, data management services, and autonomic behaviors. Finally, we discuss the main solutions proposed in the literature for each of them, and we identify possible future research directions.     

Simulation of the smart grid communications: Challenges,techniques, and future trends

This paper gives an overview of available simulation techniques to support the analysis of smart grid communications. Intelligent power grids, known as smart grids, are required as the demand for energy continues to grow and more emphasis is being placed on the supply of renewable energy. The main ingredient of smart grid is the integration of information and communication technology into the grids to monitor and regulate power generation and the demand. The impact of the communication networks on the performance of power system dynamics can only be understood through numerical simulations. This paper provides an overview of available simulation techniques for smart grid communications with a particular focus on the co-simulation frameworks and their enabling technologies. Moreover, a case study with VPNET for analyzing agent based shipboard smart grid protections considering communication impacts is provided.     

基于层次服务框架的企业信息集成方法及应用

如何对来自多种异构数据源的信息进行方便、有效地集成是企业信息集成需要考虑的重点.随着"开放式网格服务基础架构"的研究和应用不断取得进展,为信息集成提供了新的解决思路和方法.在分析了分布异构环境下企业信息集成特点的基础上,提出了基于层次化服务框架的企业信息集成方法,该方法通过建立数据层面的集成层次,实现对传统及新兴的多种异构数据源的统一、实时访问,同时提供相应的信息转换能力,综合解决数据集成中的管理、性能、实时性和可用性等多方面问题,阐述了该方法在基于HAD的纺织销售集成平台中应用实现.     

基于Paillier算法的智能电网数据聚合与激励方案

针对智能电网数据聚合和激励存在的隐私泄露问题,基于Paillier算法设计智能电网数据聚合和激励方案。采用超递增序列构造多维数据,并利用同态Paillier密码技术加密结构化数据。在云计算中心直接对用户与电网管理中心之间的密文数据进行聚合,添加与密钥相关的哈希运算消息认证码防止密文数据被篡改,并由电网管理中心解密后获得原始数据的聚合结果。此外,通过引入区块链和环签名实现高效匿名的光伏发电奖励和电网管理中心与用户之间的双向匿名,利用批验证算法降低计算成本。分析结果表明,在保障数据完整性和用户匿名性前提下,该方案可实现高效安全的智能电网数据聚合和激励。     

基于网格的物流资源挖掘模型的研究

分布在因特网上的物流资源具有地理分散和职权自治的特性，资源结构和接口难以统一。该文以网格、Agent和增量挖掘技术为基础，提出了不通过资源整合就能够实现全局信息挖掘的方法。分析了基于Web的物流资源网格系统，将其划分为物流域的集合实施分级管理。提出了新的面向网格的信息挖掘模型并设计了域内动态资源挖掘算法和域间请求式资源挖掘算法。该模型解决了不同物流系统之间的信息挖掘难题，算法中引入的增量挖掘技术提高了域间资源挖掘效率。     

智能电网WCSN安全体系架构研究

作为下一代电力系统,智能电网应具备向电网控制中心实时可靠传输信息的能力。为了解决智能电网无线传感器网络面临的异构无线网络共存、频谱资源紧张和海量数据处理等问题,我们在智能电网引入了无线认知传感器网络的理念。文章分析了在智能电网中引入认知无线传感器网络（WCSN）的必要性,列举了智能电网、认知无线电网络和无线传感器网络的相关研究成果,描述了智能电网WCSN分层结构包括家域网、邻域网和广域网,提出了智能电网WCSN安全架构。     

Deploying LiveWN Grids in the Greek School Network

A determinant factor for the introduction of grid technologies in production domains of scale can be the design of easy, fast and, from an operational point of view, realizable deployment procedures. Remote system management technologies, typically used to monitor and manage IT environments, are designed to offer remote software installation functionality that exhibits the aforementioned characteristics; however, previous work has shown that even valuable systems can fail to perform in heterogeneous, geographically distributed environments, especially if they are maintained by organizations affiliated to the public sector. The deployment of grid technologies throughout the Greek School Network can be achieved by combining OpenRSM, a novel open source solution capable to support usable, configurable, infrastructure management use cases in heterogeneous environments and LiveWN, a grid scavenging solution that integrates live technologies with gLite grids.     

智能配电网技术方案的应用设计

分析了能量流、信息流及业务流在传统配电网、数字配电网及智能配电网中的不同特征,提出了智能配电网的技术方案,给出了完善电网基础设施(即能量传输系统-配电网网架)、通信传输系统平台以及相关的智能配电终端的设计方法;构建了智能配电网调度系统、配电自动化系统、用电管理系统及其构成的调配一体化系统、配用一体化系统、调配用一体化系统的基本功能、基础应用和高级应用架构,并对各个环节的关键技术组成进行了探讨。     

The prediction of network efficiency in the smart grid

AMI is the core infrastructure of a smart grid and it is expected to be used for many industrial fields. The components of AMI generally include a smart meter, DCU, and MDMS. In such a system, the smart meter measures power consumption and DCU collects information from smart meters and send their data to MDMS. The MDMS is an end server to get information of the power usage and store its log and data. Since there are a lot of devices such as smart meters and DCUs in AMI, it is important to maintain the suitable number of them. In particular, it is necessary to calculate the proper number of DCUs for efficient management of AMI. In this paper, we suggest a way to predict the proper number of DCUs and this proposed method is useful to predict the total performance of heterogeneous AMI. The simulation results show that AMI is greatly influenced by the difference of performance between DCUs in the heterogeneous AMI.     

Blockchain-empowered security and privacy protection technologies for smart grid

With the rapid development in society of the economy and of computational technologies, it is particularly important to build a secure, efficient and reliable smart grid architecture to provide users with high-quality electricity services. However, data collection and energy trading in public networks creates security and privacy challenges in smart grids. Blockchain technologies have the excellent characteristics of decentralization, immutability and traceability, which can resolve the security, integration and coordination problems faced by the traditional centralized networks for smart grids. The goal of this paper is to introduce and compare blockchain-based technologies in addressing the problems of privacy protection, identity authentication, data aggregation and electricity pricing for the data collection and power energy trading processes in smart grids. In addition, the existing challenges and future research directions of smart grids are discussed.     

基于制造网格的DCS跨平台数据访问研究

在解决DCS系统中多平台的数据访问和集成问题中,必须要为每个不同的平台开发一个相应的数据访问接口和服务器。针对这个不足,本文提出了一个基于制造网格技术的DCS跨平台数据访问模型,利用该模型解决了异构DCS系统之间,DCS与上层管理系统之间的数据交换问题。     

Semantics and knowledge grids: building the next-generation grid

Just as the Internet is shifting its focus from information and communication to a knowledge delivery infrastructure, we see the Grid moving from computation and data management to a pervasive, worldwide knowledge management infrastructure. We have the technology to store and access data, but we seem to lack the ability to transform data tombs into useful data and extract knowledge from them. We review some of the current and future technologies that will impact the architecture, computational model, and applications of future grids. We attempt to forecast the evolution of computational grids into what we call the next-generation grid, with a particular focus on the use of semantics and knowledge discovery techniques and services. We propose a comprehensive software architecture for the next-generation grid, which integrates currently available services and components in Semantic Web, Semantic Grid, P2P, and ubiquitous systems. We'll also discuss a case study that shows how some new technologies can improve grid applications.     

基于KL-散度的智能电网用户特征提取方法

智能电网技术的发展,使得传统电力系统的规模及复杂度大大增加,同时产生了大量的用电数据,如何有效利用数据挖掘技术,从这些海量数据中挖掘出有潜在价值的信息,成为了当前电力系统分析中的一个挑战性问题。首先根据不同的时间段,将用户的用电数据进行划分,在分析每段时间内用户用电数据的基础上,采用KL-divergence（KL-散度）方法衡量用户差异,并结合基于密度改进的K-means算法,给出了一种新的用户特征提取算法,用以描述电网用户的特征差异,从而实现针对不同类别用户制定不同电力营销策略,这在一定程度上能够提高企业经济效益。最后,算例仿真结果表明,所给出的用户特征提取算法在计算的时间效率和准确性上,较传统方法都有了明显的提升。     

面向电力大数据的云审计研究与应用

随着电网数字化转型的深入开展,电力大数据时代悄然而至,也为电网企业的内部审计带来了挑战,大数据等新技术的推广应用为革新审计模式开拓了新的思路。在此背景下,基于信息融合技术和数据挖掘技术,本文搭建了具备“开放、融合、动态、智能”特点的面向电力大数据的云审计平台,实现电网全业务领域审计数据资源共享。借助该平台,审计人员可以及时、准确地获取数字化审计需要的全业务数据,实现跨系统、跨业务数据分析,并可通过自主搭建审计分析模型,捕获疑点,筛查线索。通过配网项目全过程监督评价模型实践应用,充分验证了云审计可以有效提升审计效率和质量,对防范和化解电网企业经营管理风险起到了积极的促进作用。     

基于XML的异构数据源集成与交换的实现

异构的数据源是大部分大型应用系统所面临的问题，数据库技术在很大程度上还需要依靠内容管理、商业智能、信息集成以及相应的工具等技术做支撑，以对不同平台上的信息进行实时管理。研究了以XML作为中间数据格式，用于完成多个独立的异构系统之间的数据集成和数据交换，并通过一个应用系统实例阐述了XML与DOM技术相结合进行异构数据源之间信息交换的具体实现方法。     

WEB可视化技术在电网大数据场景下的应用研究

随着智能电网的迅速发展,电网公司在输变电设备状态、电网运行、用户用电、企业管理、气象环境等方面都积累了大量的数据。面对大数据集,传统的可视化方法已呈现出处理能力和信息表达能力不足的问题。因此本文对WEB数据可视化技术进行了研究,针对电力大数据在多种不同应用场景的特点设计了相匹配的可视化技术方案,并着重分析了方案的特色和优势。本文提出的方案为电网大数据应用场景的可视化提供了参考和有益实践,大大提升了电力大数据的利用率和价值。     

基于数据网格的异构信息共享平台的实现

由于军事领域中情报信息的相对分散独立，存在信息孤岛的特点，使用数据网格可以将这些分布式的异构信息组织起来，实现资源共享和信息集成。ECIShare信息平台在数据网格DataGridTool上对不同数据库系统和文件系统进行统一管理，实现了信息发布、信息查询和发现、信息的安全访问控制等功能。     

电力调度大数据应用平台系统技术研究

为解决智能电网的发展中电网运行和设备检测或监测数据、电力企业管理数据、电力企业营销等数据海量的增加带来的不同业务系统之间分散地开发、运行和管理,系统数据存储结构独立,带来数据多源、格式不一致,数据准确性、实时性不强,数据质量不高,缺乏统一的数据规范等问题,本文利用Hadoop的分布式文件系统HDFS和并行处理框架MapReduce的工作原理,搭建电网调度大数据应用平台系统,解决了不同业务系统之间的数据不能及时共享、访问、管理与分析挖掘等问题。采用数据清洗数据,解决数据质量不高的问题。搭建电网调度大数据应用平台系统,既能实现跨专业、跨部门的多维度关联分析,又能满足海量的智能电网数据存储和数据处理需求,并具有强大的伸缩性,可扩展为电网实现安全、可靠、经济、高效地运行提供保障。     

一种基于虚拟化技术的异构网格互操作机制研究与实现

针对目前网格系统在实现机制、技术支持上异构性大,缺乏互操作,提出一种基于虚拟化技术的异构网格互操作机制(Virtualization-based Grid Interoperation,VIGI).VIGI通过构建虚拟管理层和插件模块,实现异构网格互操作,同时保证各网格平台的独立性.GOS、CGSP是中国国家网格(CNGrid)和中国教育科研网格(ChinaGrid)两大异构网格支撑中间件.基于VIGI,实现了CNGrid和ChinaGrid互操作.实验验证虚拟化技术在异构网格互操作中的可行性和有效性.