Impacts of ubiquitous technology advances on energy consumption in Japan

We created a mathematical model of the Japanese economy using a macro‐economic modeling framework called a computable general equilibrium model. We used the model to estimate the impacts of the ubiquitous network technology advances on CO₂ emissions in Japan. Four scenarios of the ubiquitous network society in Japan in 2010 were selected. The four scenarios correspond to four different levels of ubiquitous society advancement. In each scenario, we estimated electricity consumption by electronics products, the effects of ubiquitous network application systems on improving energy efficiency, and the industrial structural changes induced by the expansion of the ubiquitous network application services market. Our results indicate that advanced ubiquitous technologies would potentially reduce the CO₂ emissions of the Japanese economy by 2.8%. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 161(3): 22–30, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20419     

新一代智能电能表支撑泛在电力物联网技术研究

泛在物联技术是未来电力能源体系的发展趋势,具备全息感知、泛在连接、开放共享、融合创新的特点,建设泛在电力物联网是是当前阶段国家电网公司落实“三型两网、世界一流”战略目标的核心任务。文章首先阐述了泛在电力物联网的基本概念、特征;其次,对新一代智能电能表提出了从满足最基本的计量需求设备转型为集计量、通信、数据采集、控制等多功能的新型智慧能源网关的技术需求,并分析新一代智能电能表的功能定位和设计需求;再次,分析新一代智能电能表在电动汽车有序充电、用电负荷特征智能分析、“多表合一”信息采集等支撑泛在电力物联网建设的典型业务应用场景中的应用。最后,支撑泛在物联网工作的开展计划以及未来前景展望。     

A ubiquitous Web-based dispatcher information system for effective monitoring and analysis of the electricity transmission grid

Effective electricity grid management and planning necessitates widespread installation of convenient data acquisition modules to obtain the relevant grid data in a timely manner. In this paper, we describe a ubiquitous Web-based dispatcher information system deployed on the Turkish electricity transmission grid. This large-scale system is utilized by the transmission system operator to effectively monitor the transmission grid and to analyze and summarize the gathered data automatically, in order to take proper short-term and long-term operational decisions. The system has the additional facilities to produce load forecasts and track long-term investment plans on the electricity grid. The architecture of the implemented system is described in details together with the demonstration of sample significant analysis and forecast results obtained from the system.     

Increasing the audio watermark data rate in the construction of ubiquitous acoustic spaces

We propose “Ubiquitous Acoustic Spaces,” in which each sound source can emit some address information with audio signals and allow automatic access to its related cyber space, using handheld devices such as cell phones. In order to realize this concept, we have considered three types of extraction methods: acoustic modulation, audio fingerprints, and audio watermarking. We have proposed a novel audio watermarking technique, which allows contactless asynchronous detection of embedded audio watermarks through speaker and microphone devices. However, its embedding data rate was around 10 bps, which was not sufficient for embedding generally used URL address texts. Therefore, we have extended the embedding frequency range and proposed a duplicated embedding algorithm, which uses both the previously proposed frequency division method and the temporal division method together. By these improvements, the possible embedding data rate could be extended to 61.5 bps, and we could extract watermarks through public telephone networks, even from a cell phone sound source. In this paper, we describe our improved watermark embedding and extracting algorithms, and present experimental results on watermark extraction precision under several audio signal capturing conditions. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 165(1): 42–51, 2008; Published online in Wiley InterScience ( www.interscience. wiley.com ). DOI 10.1002/eej.20758     

影响信息采集成功率的因素及解决方法

从通信故障、设备故障、接触故障及现场参数设置故障4个方面分析了影响信息采集成功率的原因,针对这些问题提出了相应的解决方案,对信息采集系统终端投运率和采集成功率的提高,给出了相应的做法,为信息采集系统的现场调试、运行维护及系统应用等工作提供了参考。     

泛在电力物联网在电力设备状态监测中的应用

随着信息化水平的不断发展,泛在电力物联网的建设提上日程,这对提升变电站电力设备在线监测水平,推动智能电网发展具有重要的指导意义。对基于物联网的电力设备状态监测系统进行了研究,概括了泛在电力物联网在线监测系统的体系结构和特征。根据变电站电力设备状态在线监测的需求,探索研究了红外热成像监测子系统和变电站环境监测子系统的系统构成,实现了对电力设备状态监测系统的优化设计。指导变电站电力设备状态监测系统的规划、设计和建设,具有十分广阔的应用前景。     

开发管理信息系统应注意的几个非技术性的关键问题

介绍了管理信息系统的研究主题及概念。同时针对开发管理信息系统的实际情况，提出了一些看法，以此促进系统的开发，更好地为企业服务。     

泛在电力物联网形势下的主动配电网规划技术综述

泛在电力物联网鼓励各种分布式电源、储能以及电动汽车等大量的新型电力设备接入配电网侧。传统的配电网结构在未来将会出现巨大变化,导致原有的规划技术将难以适用于配电网对于供电安全性与稳定性等指标的要求。基于以上现状,对适用于泛在电力物联网形势下的主动配电网规划技术进行综述。分别从主动配电网中负荷预测与发电预测、选址定容、规划方案多维度评估等方面,阐述了新形势下配电网规划技术可能遇见的难点与挑战,归纳评价了多种复杂理论与优化算法。最后给出了对于新形势下主动配电网规划技术的总结与未来展望。     

三峡水库水文泥沙信息分析管理系统设计

应用Visual C 应用程序、Oracle9i数据库开发了三峡水库水文泥沙信息分析管理系统.系统能使用户快捷地查询到所需的水文泥沙数据及分析资料,对库区泥沙淤积状况快速做出分析处理,实时分析显示水库调度运行对泥沙冲淤演变的影响,为及时调整水库运行方式提供依据,实现水库信息数字化管理,加强数据空间分析处理能力,对原始测量数据成果进行分析处理,对所有的整编成果建立相关的索引表,提供水文泥沙查询、检索及表格输出等功能.     

Analysis of annotations on documents for recycling of information

In order to make collaborative business activities fruitful, it is essential to know characteristics of organizations and persons in more details and to gather information relevant to the activities. In this paper, we describe a notion of “information recycling” that actualizes these requirements by analyzing documents. The key of recycling information is to utilize annotations on documents as clues for generating user profiles and for weighting contents in the context of the activities. We also propose a method of extracting annotations on paper documents just by pressing one button with the help of techniques of camera‐based document image analysis. Experimental results demonstrate that it is fundamentally capable of acquiring annotations on paper documents on the condition that their electronic versions without annotations are available for the processing. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 165(2): 60–68, 2008; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20516     

一种基于ICA的图像信息隐藏算法

独立分量分析（ICA）是一种基于高阶统计量的信号分析方法,它可以找到隐含在数据中的独立分量,已广泛应用于信号处理领域。信息隐藏是一种新兴的技术,其目的在于将秘密信息隐藏于另一非机密信息中。本文提出一种新的信息隐藏技术,即将Arnold置乱后的秘密图像嵌入到载体图像中,再利用ICA算法从中提取出秘密图像。仿真结果表明该算法有效可行。     

Average information‐weighted consensus filter for target tracking in distributed sensor networks with naivety issues

In the consensus‐based state estimation, multiple neighboring nodes iteratively exchange their local information with each other and the goal is to get more accurate and more convergent state estimation on each node. In order to improve network scalability and fault tolerance, the distributed sensor networks are desirable because the requirements of the fusion node are eliminated. However, the state estimation becomes challenging in the case of limited sensing regions and/or distinct measurement‐noise covariances. A novel distributed average information‐weighted consensus filter (AICF) is proposed, which does not require the knowledge of the total number of sensor nodes. Based on the weighted average consensus, AICF effectively addresses the naivety issues caused by unequal measurement‐noise covariances. Theoretical analysis and experimental verification show that AICF can approach the optimal centralized state estimation.     

配网信息统计分析系统的研究与实现

在电力系统中,准确有效地确定信号中的间谐波分量,对于改善电能质量有重要意义`。研究了一种间谐波幅值和频率的估计算法--基于互高阶累积量的多信号分类法MUSIC(Multiple Signal Classification)方法,该方法可以有效地抑制非相关噪声和高斯噪声,在混合噪声和低信噪比的条件下,仍具有很高的谱分辨率和谱估计性能。为了证明其有效性,采用一具体的电力系统谐波模型进行仿真。仿真结果表明:在色噪声背景下,信噪比为-20dB时,且不需要对分析数据进行整周期采样,仍可以有效地估计出间谐波的频率和幅值,谱估计性能稳定,具有一定的工程应用前景。     

大规模可再生能源接入下的电力系统充裕性优化(三)多场景的备用优化

场景分析法在用于描述可再生能源出力不确定性时,不仅能表征预测风/光功率等随机变量在时间—功率空间上的概率分布,还能进一步反映这些随机波动在时序上的相关性。多场景分析中普遍存在场景维数灾问题,在备用优化中更遭遇控制措施组合爆炸问题,加剧了求解的困难。场景削减有利于场景分析法的实用化,然而现有场景削减方法不能确保小概率高风险场景不被剪除,继而引发风险泄露问题。文中提出一种计及场景集剩余风险下逐步筛选场景的多场景备用优化方法,将场景削减与优化过程融合于一体。相比于传统的"先场景削减、再优化"的思路,所提出的方案能自适应地选取待优化场景集,且能有效识别小概率高风险场景。通过与基于传统场景削减方法的混合整数线性规划方法的对比,所提出的多场景优化方法在平衡优化效果与计算效率上具有显著优势。     

电网调度自动化厂站信息在线分析与考核系统

广东电网调度自动化厂站信息在线分析与考核系统是基于现有省调EMS系统平台上开发完成的软件功能模块,旨在对省网发电厂、变电站的远动数据进行关联性分析,及时识别厂站端失准、异常信息,准确指引故障处理,自动完成远动信息定量、定期考核。     

江苏省全社会用电量分析统计平台的设计和应用

针对江苏省智能电网建设,提出了建设全社会用电量分析统计平台。详细介绍了平台的整体架构、业务运行流程和主要功能。平台通过对用电信息采集系统数据的挖掘和分析,采用高效数据接口实时采集电力用户日用电量数据,经过严格数据处理和分析判断后,从多维度和多层级动态显示汇总统计分析结果,为政府部门掌握经济发展运行变化、动态制定调整决策、加强电力需求侧管理中电力负荷预测、电力交易管理等提供可靠的用户数据支持。     

Unscented summation information‐weighted consensus filter for distributed sensor networks with incomplete information

In order to improve network scalability and fault tolerance, the distributed sensor networks are desirable. However, the distributed state estimation becomes challenging when some sensors have insufficient information due to restricted observability, and/or have imparity information due to unequal measurement‐noise covariances. Centralized summation information‐fusion (CSI) model is presented which performs weighted least‐squares estimation for all measurement information to achieve the optimal centralized state estimation. The CSI model revises the initialization and covariance propagation in the original information‐weighted consensus filter (ICF). Since centralized information fusion is a summation mode and is approached by the average consensus protocol, all the covariances involved in the CSI model contain the information regarding the total number of nodes. The artificially preset initial values are considered as measurement information and fused in accordance with the CSI model. By combining the CSI model with unscented transform, distributed unscented summation information‐weighted consensus filter (USICF) is proposed. USICF realizes the nonlinear estimation in the context of highly incomplete information. Theoretical analysis and experimental verification showed that USICF achieves better performance than UICF that is based on ICF.     

南京电力大客户管理信息系统的设计与实施

具体介绍了基于GPRS／CDMA通信技术的大用户电力负荷管理系统的功能、组成结构、主站软件模块和终端的基本要求。对该系统的关键技术进行了研究,并提出一些有效的解决方法。     

中国多微网系统发展分析

随着微网大规模接入电网,一定区域内多个邻近微网互联形成多微网系统。在微网向智能电网发展的过程中,多微网系统成为继单微网之后的新型电网研究热点。选取广东省绿色能源技术重点实验室(CET Lab)多微网系统为研究平台,详细分析了当前主流多微网系统基本结构组成。按其典型应用场景,主要介绍偏远地区型、家庭小区型、办公楼宇型、工业园区型和实验研究型这五种多微网系统类型,并选取相对应类型的国内实际多微网系统进行场景应用分析。最后,结合目前多微网系统研究较为关注的规划设计、模式切换、优化运行和控制装置四个方面,对多微网系统的关键技术进行探讨与展望。     

An IMM algorithm with federated information mode‐matched filters for AGV

In this paper, a tracking algorithm for autonomous navigation of automated guided vehicles (AGVs) is presented. The developed navigation algorithm is an interacting multiple‐model (IMM) algorithm used to detect other AGVs using fused information from multiple sensors. In order to detect other AGVs, two kinematic models were derived: A constant‐velocity model for linear motion, and a constant‐speed turn model for curvilinear motion. In the constant‐speed turn model, a nonlinear information filter (IF) is used in place of the extended Kalman filter (KF). Being equivalent to the KF algebraically, the IF is extended to N‐sensor distributed dynamic systems. The model‐matched filter used in multi‐sensor environments takes the form of a federated nonlinear IF. In multi‐sensor environments, the information‐based filter is easier to decentralize, initialize, and fuse than a KF‐based filter. In this paper, the structural features and information‐sharing principle of the federated IF are discussed. The performance of the suggested algorithm using a Monte Carlo simulation is evaluated under the three navigation patterns. Copyright © 2006 John Wiley & Sons, Ltd.