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2016 4th International Istanbul Smart Grid Congress and Fair (ICSG)最新文献

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Opportunities for energy efficiency in smart cities 智慧城市能源效率的机遇
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492425
Murat Akcin, A. Kaygusuz, A. Karabiber, S. Alagoz, B. Alagoz, Cemal Keleş
Rapid migration from rural to urban areas leads to the emergence of urbanization and sustainability problems. Management and monitoring of resources and infrastructures are getting more important today in crowded cities. Energy consumption is increasing with the growing population and intensified in highly populated parts of cities. This increased energy consumption results in high energy demand as well as the production of more pollutants and heat in these city parts. The management of pollution and heat problems leads to an additional energy demand. Therefore, energy efficiency is becoming central challenge for urban life similar to energy efficient structuring of living organisms. Practically, all activities arranging city life require energy. For instance, job activities, transportation, security, climate, catering, entertainment, commerce etc. In this study, we review active and passive approaches, which can be utilized for improvement of energy efficiency and thus sustainability of urbanization in today's cities. We give a discussion to present a vision for future smart cities in term of improvement of energy utilization and efficiency, and relieve of environmental issues. These approaches can be helpful for future cities for relieving issues originating from population increase.
从农村到城市的快速人口迁移导致城市化和可持续性问题的出现。在当今拥挤的城市中,对资源和基础设施的管理和监测变得越来越重要。能源消耗随着人口的增长而增加,在城市人口密集的地区更是如此。这种增加的能源消耗导致了高能源需求以及在这些城市地区产生更多的污染物和热量。污染和热问题的管理导致了额外的能源需求。因此,能源效率正成为城市生活的核心挑战,类似于生物的节能结构。实际上,所有安排城市生活的活动都需要能源。例如,工作活动、交通、安全、气候、餐饮、娱乐、商业等。在这项研究中,我们回顾了主动和被动的方法,可以用来提高能源效率,从而在今天的城市城市化的可持续性。我们通过讨论,从提高能源利用率和效率、缓解环境问题的角度,提出了未来智慧城市的愿景。这些方法可以帮助未来城市缓解人口增长带来的问题。
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引用次数: 36
Multi-source energy mixing by time rate multiple PWM for microgrids 基于时间速率多PWM的微电网多源能量混合
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492416
Cemal Keleş, A. Kaygusuz, B. Alagoz
Smart grid applications aims to employ many optimization and artificial intelligence methods for optimal energy management. Results of these algorithms need to be implemented by power systems in practice. This study presents Time Rate Multiple Pulse Width Modulation (TRM-PWM) methods for multi-source energy mixing for DC microgrids, which is integrating several renewable energy resources. In the paper, we implement TRM-PWM multi-source energy mixer component for integration of energy flow coming from solar and wind energy systems, battery system and grid in MATLAB simulink. Simulation results show that proposed energy mixer component can adjust rate of energy mixing from different sources. By using this component, optimal energy mixing, which can be adjusted by optimization and artificial intelligence methods, can be realized in smart grid applications.
智能电网的应用旨在采用许多优化和人工智能方法来实现最优的能源管理。这些算法的结果需要在实际的电力系统中实现。针对多种可再生能源集成的直流微电网,提出了时间速率多脉宽调制(TRM-PWM)的多源混能方法。本文在MATLAB simulink中实现了TRM-PWM多源能量混合器组件,用于集成太阳能、风能系统、电池系统和电网的能量流。仿真结果表明,所提出的能量混合组件可以调节不同来源的能量混合速率。利用该组件,可以在智能电网应用中实现可通过优化和人工智能方法调整的最优能量混合。
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引用次数: 6
Power converters modeling in Matlab/Simulink for microgrid simulations 基于Matlab/Simulink的微电网电源变换器建模
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492418
A. Karabiber, Cemal Keleş, A. Kaygusuz, B. Alagoz, Murat Akcin
Smart grid is a developing field for energy researchers. It offers technological improvements to have more controllable, reliable and sustainable power grids. Especially, the decreasing trend of fuels has pressurized to pay researchers' attention to renewable energy sources such as solar systems and wind turbines. The renewable energy sources generate electric power in different characteristics. Therefore, power converters are needed to integrate these sources in a grid to provide power flows among the sources and loads. This study presents Matlab/Simulink models of power converters and dynamic load structure, which are useful for smart grid simulations. These simulations can be used for research and educational purposes. Characteristic parameters of the models are suitable for existing devices. For power converters, Pulse-width Modulation technique is utilized that it is widely used in industry. The designed power converters and dynamic load models are tested in a microgrid application. The simulation results show that the designed power components are useful for smart grid simulation studies.
智能电网是一个新兴的能源研究领域。它提供了技术改进,使电网更加可控、可靠和可持续。特别是,燃料的减少趋势迫使研究人员关注可再生能源,如太阳能系统和风力涡轮机。可再生能源产生的电力具有不同的特性。因此,需要功率转换器将这些源集成到电网中,以提供源和负载之间的功率流。本文提出了电源变换器和动态负荷结构的Matlab/Simulink模型,为智能电网仿真提供了理论依据。这些模拟可以用于研究和教育目的。模型的特征参数适用于现有设备。功率变换器采用脉宽调制技术,在工业上得到了广泛的应用。所设计的功率变换器和动态负荷模型在微电网应用中进行了测试。仿真结果表明,所设计的功率元件可用于智能电网的仿真研究。
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引用次数: 9
Application of information theory in smart grid measurements 信息理论在智能电网测量中的应用
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492415
Murat Silsüpür, B. Türkay
Due to the integration of different kind of distributed resources and loads with nonlinear characteristics, the quality of electric power in smart grids needs to be monitored well. In addition to power quality disturbances like sag-swell, harmonics, and inter-harmonics, flicker is one of the critical power quality phenomenon seen nowadays. For flicker measurement, a flicker meter is defined in the IEC 61000-4-15. This meter has only a voltage signal input and it is not enough to interpret the contribution of the load and remaining power systems separately. So, further analyses are required for flicker evaluation. In this paper, new approaches for flicker evaluation are proposed using signal processing techniques and information theory. The real measurements taken by an iron and steel factory are processed using above mentioned techniques to evaluate flicker characteristics. The results prove that the application of information theory in smart grid measurements provides valuable information.
由于集成了各种分布式资源和具有非线性特性的负荷,智能电网需要对电力质量进行良好的监测。除了下垂膨胀、谐波和间谐波等电能质量扰动外,闪烁是当今电能质量的关键现象之一。对于闪烁测量,在IEC 61000-4-15中定义了闪烁计。这个仪表只有一个电压信号输入,单独解释负载和剩余电力系统的贡献是不够的。因此,闪烁评估需要进一步的分析。本文利用信号处理技术和信息理论,提出了一种新的闪烁评估方法。利用上述技术对某钢铁厂的实测数据进行了处理,以评估闪烁特性。结果表明,信息论在智能电网测量中的应用提供了有价值的信息。
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引用次数: 0
The message from ICSG Istanbul 2016 Congress President ICSG伊斯坦布尔2016年大会主席致辞
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492443
Umit Dogay
Distinguised "Smart Grids" Friends; Welcome to 4th International Istanbul Smart Grid and Cities Congress and Fair. Our rapidly developing country needs uniterrupted and cheap energy in order to maintain its successful growth that it achieved in the last 13 years. Keeping the balance between supply and demand in the minimum level will provide both energy saving and decrease foreign-source dependency and more rapid growth of our country.
尊敬的“智能电网”朋友们;欢迎参加第四届伊斯坦布尔国际智能电网及城市大会和博览会。我们这个快速发展的国家需要不间断的廉价能源,以保持过去13年来取得的成功增长。将供需平衡保持在最低水平,既有利于节约能源,减少对外依存度,又有利于我国经济更快发展。
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引用次数: 0
Resident activity recognition in smart homes by using artificial neural networks 基于人工神经网络的智能家居居民活动识别
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492428
Homay Danaei Mehr, Hüseyin Polat, Aydın Çetin
Recognition and detection of human activity is one of the challenges in smart home technologies. In this paper, three algorithms of artificial neural networks, namely Quick Propagation (QP), Levenberg Marquardt (LM) and Batch Back Propagation (BBP), have been used for human activity recognition and compared according to performance on Massachusetts Institute of Technology (MIT) smart home dataset. The achieved results demonstrated that Levenberg Marquardt algorithm has better human activity recognition performance (by 92.81% accuracy) than Quick Propagation and Batch Back Propagation algorithms.
识别和检测人类活动是智能家居技术面临的挑战之一。本文将快速传播(QP)、Levenberg Marquardt (LM)和批处理反向传播(BBP)三种人工神经网络算法用于人类活动识别,并根据麻省理工学院(MIT)智能家居数据集的性能进行了比较。结果表明,Levenberg Marquardt算法比Quick Propagation和Batch Back Propagation算法具有更好的人体活动识别性能(准确率为92.81%)。
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引用次数: 79
Frequency deviation indicators for estimation of energy balance state in smart AC grids 智能交流电网能量平衡状态估计的频率偏差指标
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492417
B. Alagoz, Cemal Keleş, A. Kaygusuz, Murat Akcin
Due to increasing intermittent renewable energy utilization in smart grids, smart management of energy balance is becoming major concern of research studies. In the case of highly volatile generation and demand conditions, it is very important to estimate instant energy balance state of electricity grid to preserve energy balance automatically and avoid from the cases of generation deficiency and overloading. The utility frequency deviation is commonly used to restore power imbalance in AC grids. This study gives a discussion on the utilization of frequency deviation of AC power system as an indicator of energy balance state in smart grids. We consider two approaches to estimate instant AC frequency deviation of power systems under serious harmonic and noise conditions. The first one is based on frequency to amplitude conversion technique, which use band-pass ramp filtering of AC signal. The other method is based on the sinusoidal to pulse waveform conversion, and it uses measurement of pulse periods of the resulting square waveforms. We compare these two methods and discuss their advantages and disadvantages to generate a balance error signal for smart grid applications. A brief discussion on application of these signals for smart grid energy management is given.
随着智能电网中间歇性可再生能源利用的增加,能量平衡的智能管理成为研究的重点。在发电和需求条件高度波动的情况下,及时估计电网的能量平衡状态对于自动保持电网的能量平衡,避免出现发电不足和过载的情况非常重要。在交流电网中,公用事业频率偏差是一种常用的恢复功率不平衡的方法。本文探讨了在智能电网中利用交流电力系统频率偏差作为能量平衡状态指标的问题。考虑了两种方法来估计电力系统在严重谐波和噪声条件下的瞬时交流频率偏差。第一种是基于频幅转换技术,对交流信号进行带通斜坡滤波。另一种方法是基于正弦到脉冲波形的转换,它使用测量产生的方波波形的脉冲周期。对这两种方法进行了比较,并讨论了它们在智能电网应用中产生平衡误差信号的优缺点。简要讨论了这些信号在智能电网能量管理中的应用。
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引用次数: 1
Cusum - entropy: an efficient method for DDoS attack detection 累积熵:一种有效的DDoS攻击检测方法
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492429
Ilker Özçelik, R. Brooks
Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of growing dependence, the availability of these systems has become a concern. This concern increases exponentially when considering systems such as smart power grids and public utility services. Therefore, research should be conducted to develop effective ways of detecting system anomalies. Denial of Service attacks are an important problem for the communication systems. Researchers proposed many DDoS detection approaches. In this study, we propose a novel DDoS detection approach: Cusum - Entropy. Our approach performs additional signal processing on the entropy of the packet header field to improve detection efficiency. We tested our approach using operational network traffic and performing DDoS attacks without jeopardizing the operation network. Our results showed that our approach gives high detection and low false positive rates and outperforms the detection approach using the entropy of packet header field.
电脑和互联网已经发展成为我们工作、个人和社会生活的必要工具。由于日益增长的依赖性,这些系统的可用性已成为一个问题。当考虑到智能电网和公用事业服务等系统时,这种担忧会成倍增加。因此,需要研究开发有效的检测系统异常的方法。拒绝服务攻击是通信系统面临的一个重要问题。研究人员提出了许多DDoS检测方法。在这项研究中,我们提出了一种新的DDoS检测方法:Cusum - Entropy。我们的方法对数据包报头字段的熵进行额外的信号处理,以提高检测效率。我们使用运营网络流量测试了我们的方法,并在不危及运营网络的情况下执行DDoS攻击。结果表明,该方法具有较高的检测率和较低的误报率,并且优于使用报头字段熵的检测方法。
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引用次数: 31
Economic and environmental evaluation of a designed smart micro-grid system in Turkey 土耳其设计的智能微电网系统的经济和环境评价
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492440
Eren Baharozu, Gurkan Soykan
In the recent years, importance of supplying uninterruptable and efficient power has been increasing with the usage of technological devices. To provide such a power supply, main electrical grid failures should be prevented. Smart microgrid concept is one of the best alternatives for it. In this study, suitability of a small-scale smart micro-grid was investigated concerned economic and environmental aspects by comparing various case scenarios. As an implementation of smart microgrid, a university load profile was chosen. Its location is assumed as Izmir, in Turkey for realistic approach. Different case scenarios were simulated by using Homer Software in terms of economic and environmental aspects. According to simulation results, it is seen that smart micro-grid implementation in Turkey is beneficial with regards to both economic and environmental view.
近年来,随着技术设备的使用,提供不间断、高效的电力越来越重要。为了提供这样的电源,应防止主要电网故障。智能微电网概念是其最好的替代方案之一。在本研究中,通过比较不同的案例情景,从经济和环境方面考察了小型智能微电网的适用性。作为智能微电网的实现,选择了一所大学的负荷概况。它的位置假定为伊兹密尔,在土耳其的现实方法。使用Homer软件从经济和环境方面模拟了不同的情况。仿真结果表明,在土耳其实施智能微电网在经济和环境两方面都是有益的。
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引用次数: 3
Optimal scheduling of short-term hydrothermal generation using symbiotic organisms search algorithm 基于共生生物搜索算法的短期热液生成优化调度
Pub Date : 2016-04-20 DOI: 10.1109/SGCF.2016.7492426
H. Kahraman, M. K. Dosoglu, U. Guvenc, S. Duman, Yusuf Sonmez
In this study, the Symbiotic Organisms Search (SOS) algorithm is proposed to solve the short-term hydrothermal generation scheduling (STHGS) problem. This problem aims to optimize the power generation strategy produced by hydroelectric and thermal plants by minimizing the total fuel cost function while satisfying some operational constraints. In order to evaluate the effectiveness of the SOS, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. Results have been compared other metaheuristic methods. Results obtained from the experiment show that the proposed algorithm produces better results than the other methods and shows a good convergence.
在本研究中,提出了共生生物搜索(SOS)算法来解决短期热液生成调度(STHGS)问题。该问题的目标是在满足一定的运行约束条件下,使总燃料成本函数最小,从而优化水电厂和火电厂的发电策略。为了评估SOS的有效性,它已经在一个系统上进行了测试,该系统具有一个具有四级联水库的水力发电厂和一个热电厂。结果与其他元启发式方法进行了比较。实验结果表明,该算法比其他方法具有较好的收敛性和较好的效果。
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引用次数: 11
期刊
2016 4th International Istanbul Smart Grid Congress and Fair (ICSG)
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