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2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)最新文献

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Clustering of Usage Profiles for Electric Vehicle Behaviour Analysis 用于电动汽车行为分析的使用特征聚类
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571707
Constance Crozier, D. Apostolopoulou, M. Mcculloch
Accurately predicting the behaviour of electric vehicles is going to be imperative for network operators. In order for vehicles to participate in either smart charging schemes or providing grid services, their availability and charge requirements must be forecasted. Their relative novelty means that data concerning electric vehicles is scarce and biased, however we have been collecting data on conventional vehicles for many years. This paper uses cluster analysis of travel survey data from the UK to identify typical conventional vehicle usage profiles. To this end, we determine the feature vector, introduce an appropriate distance metric, and choose a number of clusters. Five clusters are identified, and their suitability for electrification is discussed. A smaller data set of electric vehicles is then used to compare the current electric fleet behaviour with the conventional one.
对网络运营商来说,准确预测电动汽车的行为将是当务之急。为了让车辆参与智能充电计划或提供电网服务,必须预测它们的可用性和充电需求。它们的相对新颖性意味着关于电动汽车的数据是稀缺和有偏见的,然而我们已经收集了多年的传统汽车数据。本文使用来自英国的旅行调查数据的聚类分析来确定典型的传统车辆使用概况。为此,我们确定了特征向量,引入了适当的距离度量,并选择了一些聚类。确定了五个集群,并讨论了它们的电气化适用性。然后使用一个较小的电动汽车数据集来比较当前电动车队与传统车队的行为。
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引用次数: 10
Evaluation of Method for Lightning Current Waveform Parameter Extraction 雷电电流波形参数提取方法评价
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571674
S. Grebović, N. Oprasic, A. Balota
This paper describes method for lightning current waveform parameters estimation from direct current measurements on remote lightning monitoring system. Proposed signal enhancemed method is based on segmentational multi-step digital signal enhancement in time domain. Performance of proposed waveform parameter estimation has been confirmed in Monte Carlo simulation of three types of synthetic signals corrupted with different levels of additive Gaussian white noise. The proposed approach for noise reduction in time domain offers satisfactory results.
本文介绍了在远程雷电监测系统中,利用直流测量数据估计雷电电流波形参数的方法。所提出的信号增强方法是基于时域分段多步数字信号增强。在蒙特卡罗仿真中对三种不同程度加性高斯白噪声干扰的合成信号进行了波形参数估计。该方法在时域上的降噪效果令人满意。
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引用次数: 1
Development of Medium Voltage Power Flow Control Device 中压潮流控制装置的研制
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571736
E. Sosnina, A. Chivenkov, A. Shalukho, I. Lipuzhin
The article is devoted to the problem of an automatic regulation of the active and reactive power flows in a medium voltage (MV) distribution network (6–20 kV). The design of the (MV) Power Flow Control Device (PFCD) has been developed and it implements a method for the vector control of network parameters. To test the adequacy of the theoretical propositions a Simulink model of a 6 kV distribution network with MV PFCD has been developed. Studies of the adjustment characteristics (voltages and currents) of MV PFCD semiconductor converters on the basis of the simulation model have been carried out. The analysis of the adjustment characteristics allows determining the phase and amplitude control laws for the voltage vector of the MV PFCD converters for the automatic control of the active and reactive power flows in the MV network.
本文研究了中压配电网(6 ~ 20kv)有功和无功潮流的自动调节问题。本文设计了一种MV潮流控制装置(PFCD),实现了一种网络参数矢量控制的方法。为了验证理论命题的充分性,本文建立了一个具有中压PFCD的6kv配电网的Simulink模型。在仿真模型的基础上,对中压PFCD半导体变换器的调节特性(电压和电流)进行了研究。通过对调节特性的分析,确定中压PFCD变换器电压矢量的相位和幅值控制规律,实现中压网络有功和无功潮流的自动控制。
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引用次数: 10
Modified Differential Golomb Arithmetic Lossless Compression Algorithm for Smart Grid Applications 应用于智能电网的改进差分Golomb算法无损压缩
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571649
Ahmed Aleshinloye, Abdul Bais
The advancement of the electric grid has led to tremendous growth in data generated from the installed sensors. Efficient storage and transmission of this data pose a challenge for the utilities. Thus, it is required to have a data compression technique to reduce the data size. There are state of the art compression algorithms that can be applied to reduce the amount of data for storage and transmission in the smart grid environment. Some of these algorithms exploit characteristics of the load profile data, where consecutive data samples have very small differences. However, performance of these algorithms deteriorate when there are frequent large differences. We propose a modification that improves compression performance when there are large value differences. The algorithm is evaluated on smart meter load profile data at different data resolution. We show that the proposed changes improve performance by 2−20% for different resolutions.
电网的进步导致安装的传感器产生的数据急剧增长。有效存储和传输这些数据对公用事业公司提出了挑战。因此,需要一种数据压缩技术来减小数据的大小。有一些最先进的压缩算法可以用于减少智能电网环境中存储和传输的数据量。其中一些算法利用负载剖面数据的特征,其中连续数据样本具有非常小的差异。然而,当存在频繁的较大差异时,这些算法的性能会下降。我们提出了一种改进方法,可以在存在较大值差异时提高压缩性能。在不同数据分辨率的智能电表负荷剖面数据上对该算法进行了评估。我们表明,在不同的分辨率下,所提出的更改可将性能提高2 - 20%。
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引用次数: 2
Power Quality Issues at the Grid Connection Point of HVDC Connected Offshore Wind Farms and Their Influence on the Production 高压直流并网海上风电场并网点电能质量问题及其对生产的影响
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571777
R. Ferdinand, Philipp Melzer, A. Monti
The installed capacity of offshore wind turbines in Germany has significantly increased in the last years. Many of the offshore wind farms have a considerable distance to shore. Large-scale HVDC converters connect wind farm clusters to the public grid. The synthetic offshore AC grid, with its inherent properties, provides a number of challenges for the wind farm operators. One of the main risks for them is the quality of the grid connection provided by the transmission system operator. Dynamic influences of the transmission system or neighboring wind farms originate power quality disturbances and may seriously affect the production of a wind farm. The aim of this paper is to investigate the power quality in the offshore grid in general and its influences on the production of the wind farm.
过去几年,德国海上风力涡轮机的装机容量显著增加。许多海上风力发电场离海岸有相当远的距离。大型HVDC转换器将风电场集群连接到公共电网。由于其固有的特性,合成海上交流电网给风电场运营商带来了许多挑战。它们面临的主要风险之一是输电系统运营商提供的并网质量。输电系统或邻近风电场的动态影响会引起电能质量扰动,并可能严重影响风电场的生产。本文的目的是研究海上电网的总体电能质量及其对风电场生产的影响。
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引用次数: 2
Implementing Volt-Var Control in Meshed Low Voltage Grids 在分网低压电网中实现伏无控制
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571495
Rohit A Jinsiwale, Sathish Jayaraman, R. Kandula, F. Lambert, D. Divan, A. Reid, P. Day
Hyper-dense urban areas often employ meshed power grids to increase redundancy, resiliency and contingency tolerance. Transformer load balancing and voltage profile management are key concerns for such networks. Furthermore, the impedance of the network is much lower than traditional radial distribution systems making the fault current levels extremely high. Traditional FACTS based Volt-VAr approaches fail owing to the fault current levels as well as the space and environmental constraints for this application. This paper proposes a new concept called Stacked Isolated Voltage Optimization Modules (SIVOM), which utilizes coaxial winding transformers to achieve power flow control as well as Volt-Var control. The efficacy of the approach has been demonstrated through simulations on a synthetic low voltage meshed grid. Experimental verification on a laboratory prototype is also presented in this paper. The fail-normal approach taken here ensures that the system's operation is not affected by faults in the modules.
高密度城市地区通常采用网状电网来增加冗余、弹性和应急容忍度。变压器负载平衡和电压分布管理是这类网络的关键问题。此外,该网络的阻抗比传统的径向配电系统低得多,使得故障电流水平非常高。由于故障电流水平以及空间和环境的限制,传统的基于FACTS的Volt-VAr方法失败了。本文提出了堆叠隔离电压优化模块(SIVOM)的概念,利用同轴绕组变压器实现潮流控制和伏安控制。通过对低压综合网格的仿真,验证了该方法的有效性。本文还对实验室样机进行了实验验证。这里采用的故障-正常方法可确保系统的运行不受模块故障的影响。
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引用次数: 1
Peak Shaving of a Grid connected-Photovoltaic Battery System at Helmholtz Institute Ulm (HIU) 乌尔姆亥姆霍兹研究所(HIU)并网光伏电池系统的调峰
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571616
N. Boyouk, N. Munzke, M. Hiller
High demand of photovoltaic (PV) energy presents a challenge to operation and control of a power system. A Battery Energy Storage System (BESS) is an effective way to shave the peaks and to smooth the load during energy production changes with dynamic power demand. This paper introduces a novel peak shaving method with a PV-battery storage system. The method is tested on a system in U1m, Germany. The PV-battery system has 31 kWp from a PV array, which is connected to a 76 kWh Li-Ion battery with a peak power of 60 kW. The system has been in operation since May 2015. The threshold on load and State of Charge (SOC) of the battery is applied in the peak shaving method. The average of SOC and actual state of energy of the battery are used for the determination of the change in the threshold value on load.
光伏能源的高需求对电力系统的运行和控制提出了挑战。电池储能系统(BESS)是能源生产随着电力需求的动态变化而发生的削峰和平滑负荷的有效途径。本文介绍了一种新型的光伏电池储能系统调峰方法。该方法在德国U1m的一个系统上进行了测试。光伏电池系统有31千瓦时的光伏电池阵列,它连接到一个76千瓦时的锂离子电池,峰值功率为60千瓦。该系统自2015年5月开始运行。在调峰方法中应用了电池负载和荷电状态阈值。利用电池荷电状态的平均值和电池的实际能量状态来确定负载阈值的变化。
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引用次数: 3
Modelling Lost Periodicity and Waveform Distortion of SMPS Devices with a-PFC Circuits 基于a-PFC电路的SMPS器件损耗周期和波形畸变建模
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571797
S. Yanchenko, I. Papič, S. Djokic
This paper analyses lost periodicity and to it related waveform distortion of switch-mode power supply (SMPS) devices with active power factor correction (a- PFC) circuits. The paper first presents results of the previous tests, demonstrating that modern SMPS’ with a-PFC might lose operational stability and exhibit significant changes in performance when operating at low to medium powers. Using these results, the paper then introduces a component based time-domain model of one commercially available SMPS with a-PFC used in a standard desktop PC. The development of that model is discussed, with particular attention to assessing the impact of a-PFC SMPS circuit parameters on the operational instability and correlation between the lost periodicity and significant increase of waveform distortions (harmonics, interharmonics and de component). The paper also presents a brief analysis of the impact of a group of SMPS’ devices operating together. The presented a-PFC SMPS model is validated under different operating power levels using the available measurement data.
分析了带有有源功率因数校正(a- PFC)电路的开关电源(SMPS)器件的损耗周期及其相关的波形畸变。本文首先介绍了之前的测试结果,证明了具有a-PFC的现代SMPS在中低功率下工作时可能会失去操作稳定性并表现出显着的性能变化。利用这些结果,本文介绍了一种基于组件的时域模型,该模型是用于标准台式PC的带有a- pfc的商用SMPS。讨论了该模型的发展,特别注意评估a-PFC SMPS电路参数对操作不稳定性的影响,以及波形畸变(谐波、间谐波和脱分量)显著增加与周期性损失之间的相关性。本文还简要分析了一组SMPS器件一起工作的影响。利用现有的测量数据,验证了a-PFC SMPS模型在不同工作功率水平下的有效性。
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引用次数: 0
Optimal Control of Distributed Generation for Improved Security Constraint Management 基于改进安全约束管理的分布式发电最优控制
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571619
J. Gunda, G. Harrison, S. Djokic
The management of static security constraints (bus voltages and branch thermal limits) is one of the continuous tasks performed by operators. These constraints at any operating point can be divided into noncritical and critical constraints. To be secure, the system must fulfil both types of security constraints at all the time. While primary active and reactive power controls can manage noncritical constraints, emergency controls or remedial actions must be computed using optimal power flow (OPF) analysis to alleviate critical constraint violations. If the post contingency network involves a violation of critical constraints (which are not known a priori), conventional OPF algorithms may fail to converge and compute required control action, as the corresponding optimization problem becomes mathematically infeasible. Hence, the identification of critical constraint violations is necessary, as their location in the network decides the installation (during planning) and activation (during operation) of emergency controls. In this context, this paper first identifies the location of critical constraint violations using a metaheuristic approach, and then proposes a method to optimally place or control distributed generation to alleviate network thermal and voltage congestions during emergency situations.
静态安全约束(总线电压和分支热限制)的管理是操作员执行的连续任务之一。在任何工作点上的这些约束都可以分为非关键约束和关键约束。为了确保安全,系统必须始终满足这两种类型的安全约束。虽然主要的有功和无功功率控制可以管理非关键约束,但必须使用最优潮流(OPF)分析来计算紧急控制或补救措施,以减轻对关键约束的违反。如果后事件网络涉及违反关键约束(不知道先验),传统的OPF算法可能无法收敛和计算所需的控制动作,因为相应的优化问题在数学上是不可实现的。因此,关键约束违规的识别是必要的,因为它们在网络中的位置决定了紧急控制的安装(在规划期间)和激活(在运行期间)。在此背景下,本文首先使用元启发式方法确定关键约束违规的位置,然后提出一种分布式发电的最佳放置或控制方法,以缓解紧急情况下的网络热拥塞和电压拥塞。
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引用次数: 0
Small Signal Based Frequency Response Analysis for Power Systems 基于小信号的电力系统频响分析
Pub Date : 2018-10-01 DOI: 10.1109/ISGTEurope.2018.8571556
R. Azizipanah‐Abarghooee, M. Ayaz, V. Terzija, Mostafa Malekpour, M. Karimi
This paper uses small-signal analysis and time-domain dynamic simulation techniques to test and study the system frequency response of power system network under generator trip disturbances. As the complexity of large scale power systems obscures the basic nature of the inter-area modes, the simple but the practical and modified Klein- Rogers-Kundur (KRK) two areas, four generators test system is selected to determine the fundamental nature of inter-area modes of oscillation. All the nonlinearities of the system and devices including governor, generator, power system stabiliser (PSS) and automatic voltage regulator (AVR) have been considered in the simulation studies and neglected from the modal analysis in the model. In this study, the free-input motion of the system states as well as electromechanical oscillatory mode formulations is provided and their link to the frequency response of the system is analysed. Then, the effects of disparate devices like PSS, A VR and governor are investigated by small-signal analysis and time-domain simulation studies in DIgSILENT PowerFactory software, respectively. The summary would be useful for system operators to know the local and entire frequency response of the system using the small signal analysis.
本文采用小信号分析和时域动态仿真技术,对发电机跳闸干扰下电网系统的频率响应进行了测试和研究。由于大型电力系统的复杂性掩盖了区域间模态的基本性质,因此选择简单但实用的改良Klein- Rogers-Kundur (KRK)两区域、4台发电机试验系统来确定区域间模态的基本性质。在仿真研究中考虑了系统和设备的非线性,包括调速器、发电机、电力系统稳定器(PSS)和自动电压调节器(AVR),而在模型的模态分析中忽略了非线性。在这项研究中,提供了系统状态的自由输入运动以及机电振荡模式的公式,并分析了它们与系统频率响应的联系。然后,在DIgSILENT PowerFactory软件中分别通过小信号分析和时域仿真研究,研究了PSS、VR和调速器等不同器件的影响。本文的总结将有助于系统操作员利用小信号分析来了解系统的局部和整个频率响应。
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引用次数: 5
期刊
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
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