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2014 IEEE International Energy Conference (ENERGYCON)最新文献

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Bad data validation on the basis of a posteriori analysis 基于后验分析的错误数据验证
Pub Date : 2014-07-10 DOI: 10.1109/ENERGYCON.2014.6850456
A. Pazderin, E. Kochneva
Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.
计量信息的可靠性非常重要。测量数据的验证有不同的数学方法。针对低精度测量,提出了大量的不良数据识别技术。这些方法是作为状态估计问题的一部分发展起来的,用于根据遥测数据计算稳态。提出了一种计算状态变量向量的新方法。详细介绍了一种不良数据验证的后验算法。给出了测试方案的坏数据检测实例。
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引用次数: 13
FPGA-based real-time Hardware-In-the-Loop simulator of a mini solar power station 基于fpga的小型太阳能电站实时硬件在环模拟器
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850408
T. Debreceni, T. Kokenyesi, Z. Suto, I. Varjasi
Nowadays as the technology is developing, the more complex the power electronics and its controls become, the more proper hardware tool is required for HIL (Hardware-In-the-Loop) simulation. The general aim of the presented work is developing a fast, reliable and scalable HIL simulation framework for the rapid prototyping of complex power electronic systems. There are at least three strong reasons for using HIL simulation during the development: i) reduction of development time, ii) safety and quality requirements, and iii) prevent costly and dangerous failures [1]. The subject of the paper is the development of such a real-time HIL simulator using an FPGA. The system to be modeled is a mini solar power station with energy storage, which means that it is a solar panels-fed battery charger power stage with the battery itself.
随着技术的不断发展,电力电子及其控制系统变得越来越复杂,对硬件在环仿真(HIL)的要求也越来越高。本文的总体目标是为复杂电力电子系统的快速原型设计开发一个快速、可靠和可扩展的HIL仿真框架。在开发过程中使用HIL仿真至少有三个强有力的理由:i)减少开发时间,ii)安全和质量要求,以及iii)防止代价高昂和危险的故障[1]。本文的主题就是利用FPGA开发这样一个实时HIL模拟器。要建模的系统是一个具有能量存储的迷你太阳能发电站,这意味着它是一个由太阳能电池板供电的电池充电器供电阶段。
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引用次数: 6
Optimal number of electric vehicles in electricity distribution company
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850605
A. Janjic, Z. Petrusic
In this paper, the optimal vehicle fleet mix composed of both electric and gasoline powered cars for the electricity distribution company has been determined. The optimization is performed based on multi-criteria analysis and OWA operators. The criteria for the proper choice of vehicles encompass the service quality, CO2 emission, the overall fleet costs and the possibility to use storage capabilities of electric vehicles. The methodology is illustrated on the vehicle fleet determination for the medium size distribution company with 50 000 consumers.
本文确定了配电网公司电动汽车和汽油动力汽车的最优车队组合。优化是基于多标准分析和OWA操作符执行的。正确选择车辆的标准包括服务质量、二氧化碳排放、整体车队成本和使用电动汽车存储能力的可能性。该方法是说明了车辆车队的确定中型分销公司与5万消费者。
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引用次数: 3
Compatibility of wind and solar power generation in reducing effects of power output intermittency - case study 风能和太阳能发电在减少电力输出间歇性影响方面的兼容性-案例研究
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850452
Alma Ademovic, M. Music
The issue of backup for intermittent renewable sources comes with the relatively low capacity value and the very limited contribution to generation security that such sources have. However, beside standard compensation measures (power system flexibility, positive and negative reserve, etc.), inherent natural properties of wind and solar power resources can play a certain role as well. This work builds upon previous analyses and gives a quantitative system non-specific data assessment of individual power generation scenarios (dispersed power generation, hybrid solar-wind power generation, etc.), based on one year data records available for three sites of Bosnia-Herzegovina. The scope of this work is to statistically evaluate and compare the contribution of each case scenario to the required power system backup margin and the associated capacity value for the selected resource. It has thereby been found that for the given data dispersed wind generation exceeds the effects of a hybrid wind-solar scenario, however, positive effects were found to come with a mixed dispersed wind-solar power generation as well. The capacity value assessment resulted in improved properties of the output reliability, but only up to a limited capacity factor of the wind only scenario.
间歇性可再生能源的备用问题伴随着相对较低的容量价值和对发电安全的贡献非常有限。然而,除了标准的补偿措施(电力系统灵活性、正负储备等)外,风能和太阳能资源固有的自然属性也可以发挥一定的作用。这项工作建立在先前分析的基础上,并根据波斯尼亚-黑塞哥维那三个地点的一年数据记录,对单个发电方案(分散发电、混合太阳能风能发电等)进行了定量系统非具体数据评估。这项工作的范围是统计评估和比较每种情况对所需电力系统备用余量的贡献以及所选资源的相关容量值。因此发现,对于给定的数据,分散风力发电的影响超过了混合风能-太阳能方案的影响,然而,也发现了混合分散风能-太阳能发电的积极影响。容量值评估结果改善了输出可靠性的特性,但仅在仅风力的情况下,容量因子有限。
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引用次数: 8
Short-term forecasting of residential building load for distributed energy management 面向分布式能源管理的住宅建筑负荷短期预测
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850575
Y. Iwafune, Y. Yagita, T. Ikegami, K. Ogimoto
It is expected that energy management systems (EMS) on the demand side can be used as a method for enhancing the capability of balancing supply and demand of a power system under the anticipated increase of renewable energy generation such as photovoltaics (PV). Energy demand and solar radiation must be predicted in order to realize the optimal operation scheduling of demand side appliances by EMS, including heat pump water heaters, PV systems, and solar powered water heaters. This paper presents a day-ahead forecasting method for electricity consumption in a house to contribute to energy management. Ten forecasting methods are examined using real survey data from 35 households over a year in order to verify forecast accuracy. A daily battery operation model is also developed to evaluate the effect of load forecasts.
在光伏等可再生能源发电预期增加的情况下,需求侧的能源管理系统(EMS)可作为提高电力系统供需平衡能力的一种方法。为了实现需求侧设备(包括热泵热水器、光伏系统和太阳能热水器)的最优运行调度,必须对能源需求和太阳辐射进行预测。本文提出了一种住宅用电量的日前预测方法,为能源管理提供依据。为了验证预测的准确性,本文利用35户家庭一年多的实际调查数据,对10种预测方法进行了检验。此外,还建立了蓄电池日运行模型来评估负荷预测的效果。
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引用次数: 42
Analysis of three-level buck-boost converter operation for improved renewable energy conversion and smart grid integration 改进可再生能源转换和智能电网集成的三电平升压变换器运行分析
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850409
Deepak E. Soman, Kasthuri Vikram, R. Krishna, M. Gabrysch, S. K. Kottayil, M. Leijon
The increased smart grid integration of renewable energy sources demands high power handling and wide controllability for the enabling power conversion technologies. The conventional energy conversion techniques are inadequate to efficiently handle the highly varying nature of renewable energy sources like wave, solar, tidal and wind. The present work examines the advantages of using a three-level buck-boost DC-DC converter to aid three-level neutral-point-clamped inverter based grid integration. There are two main reasons for using this converter. It can provide the conventional buck-boost capability at higher power levels for absorbing and conditioning the renewable source output. Besides, it can be used as a voltage balancing device to satisfy the input requirement for the three-level neutral-point-clamped inverter. The work includes complete operating range analysis of the converter for the combined buck-boost action and voltage balancing effects to understand its suitability for various applications. The converter switching modes of operation are also presented in detail along with essential example waveforms. The final results show good controllability bandwidth for the converter which makes it an attractive solution for smart grid integration of renewable energy sources.
可再生能源的智能电网集成要求高功率处理和广泛的可控性,以实现电力转换技术。传统的能量转换技术不足以有效地处理波浪、太阳能、潮汐和风能等可再生能源的高度变化性质。本文研究了使用三电平降压升压DC-DC变换器来辅助基于中性点箝位的三电平逆变器的电网集成的优点。使用此转换器有两个主要原因。它可以在更高的功率水平上提供传统的升压能力,以吸收和调节可再生能源的输出。此外,它还可以作为电压平衡装置,满足三电平中性点箝位逆变器的输入要求。这项工作包括对变换器的降压作用和电压平衡效应进行完整的工作范围分析,以了解其在各种应用中的适用性。还详细介绍了变换器的开关工作方式,并给出了基本的示例波形。结果表明,该变流器具有良好的可控带宽,是可再生能源智能电网集成的理想解决方案。
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引用次数: 6
Influence of temperature drop on power and gas systems - analysis 温度下降对电力和燃气系统的影响——分析
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850491
N. Mandić, H. Glavaš, Ivica Petrović
Electric and gas systems are two complementary, interconnected energy systems. Each of the systems has a different size and coverage. Their networks cover different areas, the structure of their customers varies across regions, and their presence varies in industry and households. The interrelatedness of these systems is both direct and indirect. The direct interrelatedness is visible in the tasks performed by the gas system in its function of a supplier for electricity production plants. Other than the mentioned direct connection, tasks performed by these two systems complement each other while supplying the consumers, for instance in tasks of heating, hot water preparation, and similar. However, there are also some specific features that create an impression that some systems' elements are separated. The indirect connection regards climate conditions. The aim of the paper is to analyse and present the impact which a temperature drop has on electric and gas system, as well as to analyse the interrelatedness of the two systems in extreme weather conditions taking Zagreb, Croatia as an example area. In winter the consumption of electrical energy and gas rises considerably. Any shortage leads to reactions. A threat to one system indirectly endangers the other. The paper tries to clearly present the systems' very important interrelatedness and interdependence in terms of higher demand for energy-generating products using the example of temperature drop. An immediate and considerable temperature drop provokes very similar responses from both systems. This phenomenon has not been recognized clearly enough by the professional community, and its consequences have not been fully considered.
电力和天然气系统是两个互补、相互联系的能源系统。每个系统都有不同的大小和覆盖范围。他们的网络覆盖不同的地区,他们的客户结构因地区而异,他们的存在因行业和家庭而异。这些系统的相互关系既有直接的,也有间接的。直接的相互关系在气体系统作为电力生产工厂的供应商所执行的任务中是可见的。除了上述直接连接之外,这两个系统在为消费者提供服务时所执行的任务是相互补充的,例如在加热、热水制备等任务中。然而,也有一些特定的功能会让人觉得某些系统的元素是分开的。这种间接联系涉及气候条件。本文的目的是分析和目前的影响,一个温度下降对电力和天然气系统,以及分析在极端天气条件下,以萨格勒布,克罗地亚为例地区两个系统的相互关系。在冬季,电能和煤气的消耗量大大增加。任何短缺都会引发反应。对一个系统的威胁会间接危及另一个系统。本文试图以温度下降为例,从对能源生产产品的更高需求的角度,清楚地展示系统之间非常重要的相互关系和相互依存关系。一个迅速而显著的温度下降会引起两个系统非常相似的反应。这一现象还没有得到专业团体足够清楚的认识,其后果也没有得到充分考虑。
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引用次数: 3
Voltage control for Distributed Energy Resources - The value of coordination 分布式能源的电压控制。协调的价值
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850561
A. Szabo, Michael Buhl, M. Metzger
Due to the large development and integration of renewable energy generators, voltage control in power distribution grids have become a very important topic for the energy automation systems. In this paper we present aspects regarding the design of local controllers and the overall stability of the control system. The results stem from analytical investigations and from measurements and experiments performed on a low voltage distribution grid. In the paper we will show that voltage asymmetry in the distribution grids cannot be neglected and consequently, the control of the voltage needs to be performed specifically for each phase. Decentralized local controllers can perform the control and, if designed correctly, they are highly efficient with respect to the use of reactive power.
随着可再生能源发电机组的大量发展和集成化,配电网电压控制已成为能源自动化系统的一个重要课题。本文从局部控制器的设计和控制系统的整体稳定性两个方面进行了论述。这些结果来自分析调查以及在低压配电网上进行的测量和实验。在本文中,我们将表明配电网中的电压不对称是不可忽视的,因此,电压的控制需要针对每个相位进行专门的控制。分散的本地控制器可以执行控制,如果设计正确,它们在无功功率的使用方面是高效的。
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引用次数: 1
A new framework for analyzing stability in distributed generation based on the complete nonlinear synchronous machine model 基于完全非线性同步电机模型的分布式发电稳定性分析新框架
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850555
E. A. Androulidakis, A. Alexandridis
Distributed generation, along with its advantages, raises new challenges in terms of modeling power systems and conducting stability analysis. In this framework, the stability analysis of synchronous generators plays a key role. Hence, starting from the complete nonlinear model of the generator and formulating suitable storage functions input-to-state stability of the synchronous machine is proven. This constitutes the main contribution of the paper since is the first time that non-simplified generators' models are used for stability and transient analysis. In an illustrative example, the case of the three-phase synchronous machine coupled to an infinite bus along with a distributed system is simulated to verify the theoretical results.
分布式发电以其自身的优势,对电力系统建模和稳定性分析提出了新的挑战。在此框架中,同步发电机的稳定性分析起着关键的作用。因此,从发电机的完整非线性模型出发,制定合适的存储函数,证明了同步电机的输入-状态稳定性。这是本文的主要贡献,因为这是首次将非简化发电机模型用于稳定性和暂态分析。在一个说白了的例子中,模拟了三相同步电机耦合到无限母线以及分布式系统的情况,以验证理论结果。
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引用次数: 2
Continuous, non-linear, optimal speed control of a Distributed Generation Power Pack using Artificial Neural Networks 基于人工神经网络的分布式发电机组连续、非线性、最优速度控制
Pub Date : 2014-05-13 DOI: 10.1109/ENERGYCON.2014.6850554
C. Hill, P. Zanchetta, N. Okaeme, S. Bozhko
Distributed Generation Power Packs with a combustion engine prime mover are still widely used to supply electric power in a variety of applications. These applications range from backup power supply systems to providing power in places where grid connection is either technically impractical or financially uneconomic. Due to the ever increasing cost of diesel fuel and the environmental issues associated with its use, the optimisation of these AC generators and the reduction of fuel consumption is vital. This paper presents how Artificial Neural Networks can be utilised in order to obtain a continuous function which relates variable load demand to optimal speed demand. The Artificial Neural Network toolbox within MATLAB is used to create, train and test the Artificial Neural Networks. This paper also shows the results of an experimental system used in order to emulate the Distributed Generation Power Pack. Overall it is shown that is possible to operate a variable speed system under optimal, non-linear, speed control using Artificial Neural Networks.
采用内燃机原动机的分布式发电机组在各种应用中仍被广泛用于供电。这些应用范围从备用电源系统到在电网连接技术上不切实际或经济上不经济的地方提供电力。由于柴油成本的不断增加以及与柴油使用相关的环境问题,优化这些交流发电机和减少燃料消耗至关重要。本文介绍了如何利用人工神经网络来获得一个将可变负荷需求与最优速度需求联系起来的连续函数。使用MATLAB中的人工神经网络工具箱来创建、训练和测试人工神经网络。本文还介绍了分布式发电机组仿真系统的实验结果。总的来说,这表明了使用人工神经网络在最优非线性速度控制下运行变速系统是可能的。
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引用次数: 0
期刊
2014 IEEE International Energy Conference (ENERGYCON)
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