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2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献

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Diagnostics of Technical State of Modern Transformer Equipment Using the Analytic Hierarchy Process 用层次分析法诊断现代变压器设备的技术状态
V. Manusov, D. V. Orlov, V. V. Frolova
The new method of expert diagnostics of technical state for transformer power equipment at substations of power systems and facilities is proposed. It is based on the analytic hierarchy process. It was proved that it is possible to make a plausible prediction on the reasons of failures and faults for power equipment using some symptoms and pairwise comparisons of expert evaluations. The paper focuses on diagnostics of the current technical state of transformers with high temperature superconducting windings (HTS transformers). Reliability of the results of the proposed method is validated by calculations that demonstrate the adequacy of the model applied to HTS transformer. The new mathematical model developed using fuzzy relations of fault symptoms includes elements for predicting possible failures of power equipment, that can be used as a subsystem of on-line diagnostics. As a result, it allows implementing the HTS transformers as an innovative solution for electric power industry.
提出了电力系统和设施变电站变压器电力设备技术状态专家诊断的新方法。它是基于层次分析法的。证明了利用一些症状和专家评价的两两比较,可以对电力设备的故障和故障原因作出合理的预测。本文对高温超导绕组变压器的技术现状进行了诊断。计算结果表明,该模型适用于高温超导变压器,验证了该方法的可靠性。利用故障症状模糊关系建立的新数学模型包含了电力设备可能发生故障的预测要素,可作为在线诊断的子系统。因此,它允许实施高温超导变压器作为电力行业的创新解决方案。
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引用次数: 3
Frequency Control with Flexible Demand and Storages to Support Large Renewable Energy Generation 具有灵活需求和存储的频率控制,以支持大型可再生能源发电
Ana Turk, Monika Sandelic, J. Pillai, S. Chaudhary
An increase in the installed capacity of renewable energy sources in power system may lead to frequency deviation problems due to their intermittent nature and subsequent mismatch between generation and demand. Therefore, new components should be used to provide frequency regulation, and thus assure stable frequency. One of the solutions is the integration of energy storage systems and flexible loads. This paper investigates the dynamic influence and performance of thermostatically controlled electric water heaters and battery energy storage systems for frequency regulation in an interconnected two-area power system with high penetration of variable renewable energy generation.
电力系统中可再生能源装机容量的增加,由于其间歇性,可能导致发电与需求不匹配的频率偏差问题。因此,应该使用新的元件来提供频率调节,从而保证频率的稳定。解决方案之一是将储能系统与柔性负载相结合。本文研究了在可变可再生能源发电高渗透的互联两区电力系统中,恒温控制电热水器和电池储能系统对频率调节的动态影响和性能。
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引用次数: 2
A Small-Scale Prototype for the Optimization of PV Generation and Battery Storage through the Use of a Building Energy Management System 通过使用建筑能源管理系统优化光伏发电和电池存储的小型原型
G. Barchi, G. Miori, D. Moser, S. Papantoniou
The use of renewable energy sources to cover, at least partially, the energy demand of residential, industrial and commercial buildings is fundamental for sustainability and CO2 emission reduction. In this respect, the so-called energy management systems play a key role to maximize the amount of energy produced by local, renewable-based generators that are consumed by the same buildings where such generators are installed. In this paper, we present a prototype consisting of a photovoltaic (PV) generator and a battery energy storage system (BESS), properly coordinated by a building energy management system (BEMS), designed to handle the power flows of a shopping mall, while taking into account the BESS state of charge and the actual power demand. The control strategy implemented in the BEMS is one key point of the work. Some preliminary experimental results confirm the validity of the proposed approach.
使用可再生能源至少部分满足住宅、工业和商业建筑的能源需求是可持续发展和减少二氧化碳排放的基础。在这方面,所谓的能源管理系统在最大限度地利用当地可再生发电机产生的能源方面发挥着关键作用,这些发电机被安装在同一栋建筑中。在本文中,我们提出了一个由光伏(PV)发电机和电池储能系统(BESS)组成的原型,并通过建筑能源管理系统(BEMS)进行适当的协调,旨在处理购物中心的电力流,同时考虑BESS的充电状态和实际电力需求。在BEMS中实施的控制策略是工作的重点之一。初步的实验结果证实了该方法的有效性。
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引用次数: 19
A Neural Network Based Resilient Control Design for Distributed Power Systems Under Faults and Attacks 基于神经网络的分布式电力系统故障与攻击弹性控制设计
Alireza Abbaspour, A. Sargolzaei, K. Yen
A novel active resilient control system is developed for distributed power systems (DPSs) under false data injection (FDI) attacks, and faults. The proposed system works based on a new anomaly detection (AD) design which consists of a Luenberger observer and an artificial neural network (ANN). The ANN structure is developed by Extended Kalman filter (EKF) to improve the ANN ability for the online AD in the power system. Based on the feedback data received from the AD system, the resilient controller will be designed, which eliminates the need for control reconfiguration. The resiliency of the proposed design against FDI attacks and faults in the sensors is tested on a Load Frequency Control (LFC) system through numerical simulations. Based on simulation results, the proposed active resilient control system can successfully detect anomalies in the actuators and compensate for their effects on DPSs.
针对分布式电力系统在虚假数据注入(FDI)攻击和故障情况下的主动弹性控制,提出了一种新的主动弹性控制系统。该系统基于一种新的异常检测(AD)设计,该设计由Luenberger观测器和人工神经网络组成。利用扩展卡尔曼滤波(EKF)发展了神经网络结构,提高了神经网络在电力系统在线自适应控制中的能力。基于从AD系统接收到的反馈数据,设计弹性控制器,消除了重新配置控制的需要。通过数值模拟,在负载频率控制(LFC)系统中测试了所提出的设计对FDI攻击和传感器故障的弹性。仿真结果表明,所提出的主动弹性控制系统能够成功地检测执行器中的异常并补偿其对dps的影响。
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引用次数: 7
High Density - HD Using ERTMS: The Italian Solution for the Railway Traffic Management 高密度-使用ERTMS的高清:意大利铁路交通管理的解决方案
Ivan Colla, A. Consilvio, Andrea Olmi, Andrea Romano, M. Sciutto
The HD ERTMS solution for railway traffic management is presented. It allows to achieve “high density” railway traffic, increasing the number of trains on the existing railway lines. The proposed solution is based on the ERTMS technological standard and can be integrated with existing signaling systems minimizing field intervention: HD ERTMS trains do not interfere with trains equipped by other signaling and train separation systems. The railway traffic simulation software RFI NET has been upgraded to verify HD ERTMS potentiality and to optimize rail traffic on lines, nodes and stations. Finally, results of the first HD ERTMS application to the Italian railway node of Florence are presented.
提出了面向铁路交通管理的高清ERTMS解决方案。它可以实现“高密度”铁路交通,增加现有铁路线上的列车数量。提出的解决方案基于ERTMS技术标准,可以与现有的信号系统集成,最大限度地减少现场干预:HD ERTMS列车不会干扰配备其他信号和列车分离系统的列车。铁路交通模拟软件RFI NET已经升级,以验证高清ERTMS的潜力,并优化线路、节点和车站的轨道交通。最后,介绍了高清ERTMS在意大利佛罗伦萨铁路节点的首次应用结果。
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引用次数: 7
Analysis of Wind Loading on Photovoltaic Panels Mounting Brackets 光伏板安装支架风荷载分析
Luiz Guilherme Gonzaga Borba Ferreira, A. Alves, J. L. Domingos
This paper aims to analyze the wind flow in a photovoltaic system installed on a flat roof and verify the structural behavior of the photovoltaic panels mounting brackets. The study is performed by computational simulations using Computational Fluid Dynamics resources and equations of solid mechanics and structural analysis. The results present the wind actions, wind exerted pressures and the structural behavior of the mounting brackets, drawing attention to the concentration of pressures at fix points of the supports, serving as an alert to perform a good and safety system assembly.
本文旨在分析安装在平屋顶上的光伏系统的风向,并验证光伏板安装支架的结构性能。利用计算流体力学资源和固体力学及结构分析方程进行了计算模拟。结果显示了风的作用,风施加的压力和安装支架的结构行为,引起了人们对支架固定点压力集中的关注,作为一个良好和安全的系统组装的警报。
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引用次数: 0
Stochastic Predictive Control of Multi-Microgrid Systems 多微网系统的随机预测控制
N. Bazmohammadi, Ahmadreza Tahsiri, A. Anvari‐Moghaddam, J. Guerrero
This paper presents a stochastic predictive control algorithm for a number of microgrids connected to the same distribution system. Each microgrid includes a variety of distributed resources such as wind turbine, photo voltaic units, energy storage devices and loads. Considering the uncertainty of loads and renewable-based distributed resources, the power management problem is formulated in the framework of stochastic control. The microgrids operation are coupled through a joint probabilistic constraint which requires the power flow from utility to each microgrid limits to a pre-specified range. Utilizing probabilistic distribution function of uncertain variables, the deterministic counterpart of the problem is derived and a close-optimal solution of the problem is achieved. The Monte-Carlo simulation analysis is used to justify the robustness characteristics of the solution.
本文提出了连接到同一配电系统的多个微电网的随机预测控制算法。每个微电网包括各种分布式资源,如风力发电机组、光伏发电机组、储能设备和负载。考虑到负荷和可再生分布式资源的不确定性,在随机控制的框架下提出了电力管理问题。微电网运行通过联合概率约束耦合,该约束要求从公用事业到每个微电网的功率流限制在预先指定的范围内。利用不确定变量的概率分布函数,导出了问题的确定性对应物,得到了问题的近最优解。通过蒙特卡罗仿真分析验证了该方法的鲁棒性。
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引用次数: 25
Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management 利用信息缺口决策理论解决不确定性和风险管理的需求响应聚合商交易框架
Morteza Vahid-Ghavidel, B. Mohammadi-ivatloo, M. Shafie‐khah, G. Osório, N. Mahmoudi, J. Catalão
In this work a new trading framework for demand response (DR) aggregators is proposed using a non-probabilistic model. In this model, DR is acquired from consumers to sell it to the purchasers by aggregators. Two programs, i.e., time-of-use (TOU) and reward-based DR program, are implemented to obtain DR from consumers. Then, the obtained DR is sold to buyers via two considered agreements, i.e., fixed DR contracts and DR options. The information-gap decision theory is also employed to consider the uncertainties for risk-averse aggregators. Consumer's participation behavior is considered as an uncertain parameter. A robustness function is proposed to examine the immunity of the model against adverse variations of uncertain parameters. The feasibility of the proposed model is studied on the real-world data.
本文提出了一种基于非概率模型的需求响应聚合器交易框架。在这个模型中,DR是由聚合者从消费者那里获取DR,然后卖给购买者。通过分时电价(time-of-use, TOU)和奖励电价(reward-based DR)两种方案从消费者那里获得DR。然后,通过两种考虑过的协议,即固定DR合同和DR期权,将获得的DR出售给买方。信息缺口决策理论也被用于考虑风险规避聚合器的不确定性。消费者的参与行为被认为是一个不确定参数。提出了一个鲁棒性函数来检验模型对不确定参数不利变化的免疫力。在实际数据上研究了该模型的可行性。
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引用次数: 5
Investigation of Dynamic Mode Operation of Ship's Electrical Power Systems by Simulation 船舶电力系统动态模式运行的仿真研究
N. Djagarov, Z. Grozdev, Vencislav Varbev, G. Predoi, J. Djagarova, M. Bonev, Hristo Milushev
Ship power supply systems must provide electric power to different consumers in all modes of operation. The power management is performed by the power management system (PMS). To this management is require requirements for efficiency, stability and reliability. These requirements contradict each other and require appropriate optimal design. In the present article is used a mathematical model to examine various normal and emergency modes of operation managed by PMS. The results obtained from the study can be used in the design of ship power systems, controllers for their individual components and PMS.
船舶供电系统必须在各种运行模式下为不同的用户提供电力。电源管理由电源管理系统PMS (power management system)完成。对这种管理要求效率、稳定性和可靠性。这些要求相互矛盾,需要适当的优化设计。本文用数学模型考察了PMS管理的各种正常和紧急运行模式。研究结果可用于船舶动力系统、各部件控制器和PMS的设计。
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引用次数: 13
Smart City and Cultural Heritage: Resilience Trought Crowdsourcing Involvement 智慧城市与文化遗产:众包参与的韧性
A. D'Angelo, L. Ricciardi, L. Gugliermetti
Nowadays cultural heritage faces many challenges which require the implementation of resilient policies: in fact, threats against cultural heritage may come not only from manmade hazards but also from natural ones (i.e. earthquakes in central Italy and sacks and devastation in Palmyra site by Daesh fighters). To preserve from damages those places, strong preventive actions have been started. Now the actual implementation is limited to digital materials comprising photos, videos and documents. The research proposes the use of crowdsourcing as instrument to build the database necessary to make 3D models of cultural assets at low costs and with a short development time. Crowdsourcing is the practice of obtaining needed services, ideas, or content by soliciting contributions from a large group of people. Thus, tourists and inhabitants can contribute in the preservation process of cultural assets increasing the resilience of cities.
如今,文化遗产面临着许多挑战,需要实施有弹性的政策:事实上,对文化遗产的威胁不仅可能来自人为灾害,也可能来自自然灾害(如意大利中部的地震、伊斯兰国武装分子对巴尔米拉遗址的洗劫和破坏)。为了保护这些地方不受损害,已经开始采取强有力的预防行动。现在,实际的实施仅限于包括照片、视频和文档在内的数字材料。该研究建议使用众包作为工具来建立必要的数据库,以低成本和短开发时间制作文化资产的3D模型。众包是指通过向一大群人征求意见来获得所需的服务、想法或内容的做法。因此,游客和居民可以在文化资产的保护过程中做出贡献,从而提高城市的复原力。
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引用次数: 3
期刊
2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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