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2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)最新文献

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Autonomic protocol and architecture for devices in Internet of Things 物联网设备的自主协议与架构
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873884
Q. Ashraf, M. H. Habaebi, G. Sinniah, M. Ahmed, Sheroz Khan, S. Hameed
With the advancement taking place in communication technologies, Internet of Things (IoT) is expected to play a major role in realizing smartness and functionality needed for applications such as Smart Homes and Electrical Smart Grids. However, in order to achieve that far reaching goal, select concepts of computing autonomy have to be suitably ported to IoT architecture. Recently reported works describe various frameworks, models and protocols for computing autonomy. Some others focus more on the practical implementation of autonomy using self-star (self-*) behavior in end nodes. This work proposes an autonomic architecture for IoT based on IBM's autonomic framework. An accompanying protocol for service communication is also presented. Preliminary tests prove its suitability in an IoT environment from the perspective of energy conservation for the network.
随着通信技术的进步,物联网(IoT)有望在实现智能家居和智能电网等应用所需的智能和功能方面发挥重要作用。然而,为了实现这一长远目标,必须将计算自治的选择概念适当地移植到物联网架构中。最近报道的工作描述了计算自治的各种框架、模型和协议。其他一些则更多地关注在终端节点中使用self-star (self-*)行为的自治的实际实现。这项工作提出了一种基于IBM自主框架的物联网自主架构。同时给出了服务通信的配套协议。初步测试表明,从网络节能的角度出发,该方案适合物联网环境。
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引用次数: 22
An integrated data mining framework for analysis and prediction of battery characteristics 电池特性分析与预测的集成数据挖掘框架
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873891
M. Momtazpour, Ratnesh K. Sharma, Naren Ramakrishnan
Batteries play an important role in modern sustainable energy systems. However, batteries are expensive and have a limited life time. Having a deep understanding of how batteries operate in working situations is crucial to designing advanced control mechanisms. Battery performance and life time is highly dependent on how it is used and also on environmental working conditions. While batteries have been extensively studied through model-based approaches, there is no previous work about modeUng behavior based on data analytic methods. In this paper, we propose an integrated data-driven framework to study the behavior of battery systems in a grid, based on data mining techniques. The proposed method provides a high level characterization of battery behavior and online parameter estimation using supervised and unsupervised learning methods. This work can be used in intelligent control systems and would help administrators to know what is happening inside a battery.
电池在现代可持续能源系统中发挥着重要作用。然而,电池价格昂贵,使用寿命有限。深入了解电池在工作环境中的工作原理对于设计先进的控制机制至关重要。电池的性能和寿命在很大程度上取决于它的使用方式以及环境工作条件。虽然已经通过基于模型的方法对电池进行了广泛的研究,但之前还没有基于数据分析方法对电池行为进行建模的工作。在本文中,我们提出了一个基于数据挖掘技术的集成数据驱动框架来研究电网中电池系统的行为。该方法使用监督和无监督学习方法对电池行为和在线参数估计进行了高层次的表征。这项工作可用于智能控制系统,并将帮助管理员了解电池内部发生的情况。
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引用次数: 4
Heat sink model and design analysis based on particle swarm optimization 基于粒子群优化的散热器模型与设计分析
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873882
M. Hanafi, F. S. Ismail
A study on central processing unit (CPU) was conducted to analyze the thermal performance of heat sink. The purpose is to have the optimal design for heat sink to reduce the thermal problem on CPU. This study explores the used of heat transfer model and particle swarm optimization for heat sink design. The objective function is to maximize heat dissipation of optimal heat sink design. Based on the heat sink application, thickness and the length of fins for plate fin heat sink are considered for optimization. Results on the convergence and optimum value of the fitness function for the optimal heat sink are presented.
以中央处理器(CPU)为研究对象,分析了散热器的热性能。目的是对散热器进行优化设计,以减少CPU的散热问题。本研究探讨了传热模型和粒子群优化在散热器设计中的应用。优化散热器设计的目标函数是使散热最大化。根据散热器的实际应用,对板翅片的厚度和长度进行了优化设计。给出了最优散热器的适应度函数的收敛性和最优值。
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引用次数: 5
The impact of electric vehicle charging on a residential low voltage distribution network in Malaysia 电动汽车充电对马来西亚住宅低压配电网的影响
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873802
C. H. Tie, C. K. Gan, K. A. Ibrahim
The increasing number of Electric Vehicles (EV) charging at an electricity distribution network could have a significant impact on the planning and operation of a power system. This paper presents a case study investigating the impact of EV charging at households on a typical Malaysia Low Voltage (LV) network. The residential LV network sample is provided by the local power utility (namely TNB) and some rearrangement of house load's connection to feeders was made to comply with the utility's requirement. In addition, the LV network has been modelled in detail to take into account the neutral wire and the self and mutual impedance of the cable. The impact of the EV charging on both newly developed residential areas and mature residential areas were evaluated in terms of voltage profile, voltage unbalance as well as feeders and transformer thermal limit. Results from the presented studies indicate that the LV network can safely accommodate 10% safe EV penetration level for a mature residential area without any controlled charging method being applied. However, with controlled charging strategy, the EV penetration level can be increased up to 60% without adverse effect to the system parameters such as voltage. For the case of a new residential LV network, the increase was from 20% to 100% EV penetration level. Furthermore, it is important to mention that the impact of EV is very locational and network dependent.
越来越多的电动汽车(EV)在配电网充电,可能对电力系统的规划和运行产生重大影响。本文介绍了一个案例研究,调查了电动汽车在马来西亚典型的低压(LV)网络中对家庭充电的影响。住宅低压电网样本由当地电力公司(即TNB)提供,根据电力公司的要求,对住宅负荷与馈线的连接进行了一些重新安排。此外,还对低压网络进行了详细的建模,考虑了中性线和电缆的自阻抗和互阻抗。从电压分布、电压不平衡、馈线和变压器热极限等方面评价了电动汽车充电对新建小区和成熟小区的影响。研究结果表明,在不采用任何控制充电方式的情况下,低压电网可以安全地容纳成熟住宅区10%的电动汽车安全渗透率。而采用可控充电策略,在不影响电压等系统参数的情况下,可将电动汽车的渗透水平提高到60%。在新建住宅低压电网的情况下,电动汽车普及率从20%提高到100%。此外,值得一提的是,电动汽车的影响非常依赖于地理位置和网络。
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引用次数: 44
Voltage regulation in a smart distribution system incorporating variable renewable generation 包含可变可再生能源发电的智能配电系统的电压调节
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873857
J. O. Petintin, M. Shaaban
Intermittency of variable renewable generation (VRG) requires time sequence analysis, over a defined interval, to adequately capture VRG characteristics. As the penetration level rises, connected VRGs inject as much energy as the existing resource permits. It is therefore, essential to develop a technique that maintains system voltage profile, and facilitates the smoother integration of VRGs into the grid. This paper describes an approach to coordinate the use of load tap changing (LTC) transformers and switched capacitors (SCs) to improve the system-wide voltage profile due to the penetration of VRGs. Unlike other approaches that tend to optimize the size and location of VRGs, to enhance the grid performance, the proposed approach contends with the status quo of the system, with the added VRGs of different sizes and locations, and administers LTCs and SCs to regulate the system voltage. The IEEE 123 test feeder is considered as the test system in this paper. The effectiveness of the proposed method is validated under various test cases through a time sequence analysis over 24-hourly simulation period. The corresponding voltage profile is analyzed under various penetration levels of solar PV.
可变可再生能源发电(VRG)的间歇性需要在一定的时间间隔内进行时间序列分析,以充分捕捉VRG的特性。随着渗透水平的提高,连接的vrg在现有资源允许的情况下注入尽可能多的能量。因此,有必要开发一种技术来维持系统电压分布,并促进vrg更顺利地整合到电网中。本文描述了一种协调使用负载分接变换(LTC)变压器和开关电容器(SCs)的方法,以改善由于vrg的渗透而导致的全系统电压分布。与其他通过优化vrg的大小和位置来提高电网性能的方法不同,本文提出的方法与系统现状相竞争,通过增加不同大小和位置的vrg,并管理ltc和sc来调节系统电压。本文采用ieee123测试馈线作为测试系统。通过24小时的仿真时间序列分析,在多个测试用例下验证了该方法的有效性。分析了太阳能光伏在不同渗透水平下的电压分布。
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引用次数: 5
Intelligent Substation Automation Systems for robust operation of smart grids 智能变电站自动化系统实现智能电网的稳健运行
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873893
H. Zeynal, M. Eidiani, D. Yazdanpanah
Substation Automation Systems (SAS) provide reliable bedrock for future smart grid development in electric utilities. Implementation of high quality SAS system enables one to experience less outage rate using the state-of-the-art computerized functions of monitoring, control, and protection. As a result, it can immensely reinforce the reliability index of smart grid systems. However, the inextricable interdependency of cyber and power components in an automated substation creates more vulnerable operation process. In this sense, unlike the power component outage in a substation, a failure of the cyber components in an Ethernet fashion can interrupt the operation as well. Therefore the proper selection of SAS package that offers more reliable performance may hedge massive maloperation in the system. Since the introduction of multi-vendor SAS based IEC-61850 protocol, the interoperability of various SAS components with variety of manufacturer's brands is now possible. This paper surveys the most efficient and used SAS package and the configuration in a HV substation which leads to high reliable performance. Findings can pave the future smart grid development in an effective manner.
变电站自动化系统(SAS)为未来智能电网的发展提供了可靠的基础。实施高质量的SAS系统,使用最先进的计算机化监控、控制和保护功能,可以减少停机率。从而极大地提高了智能电网系统的可靠性指标。然而,在自动化变电站中,网络和电力组件之间不可分割的相互依赖关系使操作过程更加脆弱。从这个意义上说,与变电站的电源组件停电不同,以太网方式的网络组件故障也会中断操作。因此,正确选择性能更可靠的SAS包,可以避免系统出现大量的误操作。由于引入了基于IEC-61850协议的多供应商SAS,现在可以实现各种制造商品牌的各种SAS组件的互操作性。本文研究了一种高效、常用的SAS系统及其在高压变电所中的配置,使其具有较高的可靠性。研究结果可以有效地为未来智能电网的发展铺平道路。
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引用次数: 23
Topology identification in smart grid with limited measurements via convex optimization 基于凸优化的受限智能电网拓扑识别
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873896
Liang Zhao, Wenzhan Song, L. Tong, Yuan Wu, Junjie Yang
With the growing penetration of renewable and demand response programs which lead to frequent flow reversals and substation reconfigurations, correct identification of the topology becomes an imperative task in future power grid management. However, due to low measurement redundancy especially on distribution networks, the aforementioned task is inevitably challenging. In this paper, we are thus motivated to propose a maximum a posterior based mechanism, which is capable of embedding prior information on the breaker status, to enhance the identification accuracy. Building upon semidefinite programming, our goal is converted to solving a relaxed convex optimization problem. Within the optimization problem, the sparsity in prior knowledge is also promoted using compressed sensing technique to further alleviate the effect of insufficient measurements. Numerical tests on the IEEE 14-bus model corroborate the effectiveness of our proposed scheme.
随着可再生能源和需求响应程序的日益普及,导致频繁的潮流反转和变电站重构,正确识别拓扑结构成为未来电网管理的一项重要任务。然而,由于测量冗余度较低,特别是在配电网中,上述任务不可避免地具有挑战性。因此,在本文中,我们提出了一种基于最大后验的机制,该机制能够嵌入断路器状态的先验信息,以提高识别精度。在半定规划的基础上,我们的目标被转换为解决一个松弛凸优化问题。在优化问题中,利用压缩感知技术提高了先验知识的稀疏性,进一步缓解了测量不足的影响。在IEEE 14总线模型上的数值测试验证了所提方案的有效性。
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引用次数: 14
A distributed reactive power optimization method for multi-area interconnected power grid 一种多区域互联电网分布式无功优化方法
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873848
Jin-quan Zhao, Yuejin Ji, Zemei Dai
This paper presents a distributed optimization method to solve the optimal reactive power flow (ORPF) problem of multi-area interconnected power grid. An external network reduced equivalent model is used to implement the ORPF calculation of each sub-grid. And the inter-area coupling constraint can be transformed into the injection power modified equation of external boundary bus afterwards. Therefore, the distributed solution of multi-area ORPF problem can be realized through updating of boundary bus equivalent injection power and voltage phasors. The proposed method avoids the tedious process of network equivalence and reduces the dependence on the coordination layer. Furthermore, it accords with the local feature of reactive power optimization and control properly as well. The numerical simulation results of several IEEE cases show that the proposed method is effective and suitable for online application.
提出了一种求解多区域互联电网最优无功潮流的分布式优化方法。采用外部网络简化等效模型实现各子网格的ORPF计算。然后将区域间耦合约束转化为外边界母线注入功率修正方程。因此,通过更新边界母线等效注入功率和电压相量,可以实现多区域ORPF问题的分布式求解。该方法避免了繁琐的网络等价过程,减少了对协调层的依赖。同时,该方法也符合无功优化控制的局部特点。几个IEEE案例的数值仿真结果表明,该方法是有效的,适合在线应用。
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引用次数: 0
A measurement technique to identify and locate partial discharge in transformer with AE and HFCT 一种利用声发射和HFCT识别和定位变压器局部放电的测量技术
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873773
Urairat Fuangsoongnern, W. Plueksawan, Kittimasak Tikakosol
This paper proposes a measurement technique to identify and locate the occurrence of partial discharge (PD) in the insulation of high voltage oil immersed distribution transformer and dry type distribution transformers. With reference to IEEE Std. C57.127-2007, four acoustic transducers of type PD-TP500A were used to locate partial discharge and one HFCT (High frequency current transducer) was used to identify partial discharge. This technique could correctly identify and locate the source of partial discharge occurring at any position in a distribution transformer. The result of the findings enabled us to prevent damage and deploy preventive maintenance measure on the distribution transformer in time.
提出了一种高压油浸式配电变压器和干式配电变压器绝缘局部放电的检测技术。参考IEEE标准C57.127-2007,采用4台PD-TP500A型声波传感器定位局部放电,1台HFCT(高频电流传感器)识别局部放电。该技术可以准确地识别和定位配电变压器中任何位置的局部放电源。研究结果为及时预防配电变压器的损坏和采取预防性维护措施提供了依据。
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引用次数: 11
Adaptive load shedding scheme for transmission line overloading problem in TNB TNB输电线路过载问题的自适应减载方案
Pub Date : 2014-05-20 DOI: 10.1109/ISGT-ASIA.2014.6873794
Ahmad Zamani, N. Yusuf, M. Sarmin, S. K. S. Abdullah, A. A. Rahim
Building new infrastructures such as power plants, substations and transmission lines to meet rapid demand growth has becoming more challenging than ever. This is mainly due to economic factor but more importantly is public acceptance. Consequently, transmission grid operation is stressed to the limit and poses significant risks such as transmission line overloading. The overloading problem mostly occurs at congested load areas connection with low rating transmission lines. This paper describes a newly implemented adaptive load shedding scheme to minimize the amount of load loss and its duration due to transmission line overloading. The transmission line overloading detection is based on dynamic line rating and conductor temperature calculation. Quasi-optimum quantum method is used to determine the quantum of load to be shed based on the pre-determined priority of distribution feeders and real time loading. The scheme consists of distributed automation processors, control intelligent electronic devices, synchrophasors and ambient and line temperature sensors.
建设新的基础设施,如发电厂、变电站和输电线路,以满足快速增长的需求,变得比以往任何时候都更具挑战性。这主要是由于经济因素,但更重要的是公众的接受程度。因此,输电网的运行受到了极大的压力,并带来了输电线路过载等重大风险。过载问题多发生在负荷密集区与低额定输电线路连接时。本文介绍了一种新的自适应减载方案,以最大限度地减少因输电线路过载而造成的负荷损失和持续时间。传输线过载检测基于动态线路额定值和导线温度计算。采用准最优量子法,根据预先确定的配电馈线优先级和实时负荷,确定分配负荷的量。该方案由分布式自动化处理器、控制智能电子器件、同步相量以及环境和线路温度传感器组成。
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引用次数: 2
期刊
2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)
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