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2021 International Conference on Electric Power Engineering – Palestine (ICEPE- P)最新文献

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Computation Of Stabilizing PID Controllers For Magnetic Levitation System With Parametric Uncertainties 具有参数不确定性的磁悬浮系统稳定PID控制器的计算
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423481
Moayed Almobaied, Hassan S. Al-Nahhal, K. Issa
The growing demand of light weight technology, cabin comfort, and better emission control and stability of the vehicles led to the increasing concern towards air magnetic suspension systems. Due to the high nonlinearity in the modeling process of such kind of systems, the stabilizing of magnetic levitation has been considered as a challenging task for many researchers in control engineering sector. This paper illustrates the calculating of all stabilizing PID controller gains for ED-4810 magnetic levitation system benchmark (Maglev) in the presence of uncertain parameters. Firstly, the linearized model of the uncertain plant is derived where the resultant characteristic polynomial is shown to be an unstable affine structure using Zero Exclusion Theorem and singular frequencies technique. Then all PID parameters values are demonstrated to establish robust stability using parameter space approach. The effectiveness of the proposed graphical method has been proved through simulation to achieve robust stability for magnetic levitation system.
随着人们对汽车轻量化技术、客舱舒适性以及更好的排放控制和稳定性的需求日益增长,空气磁悬浮系统受到越来越多的关注。由于这类系统的建模过程具有高度的非线性,磁悬浮系统的稳定问题一直是控制工程领域研究人员面临的一个具有挑战性的课题。本文阐述了ED-4810磁悬浮系统基准(磁浮)在参数不确定情况下PID控制器各稳定增益的计算。首先,利用零不相容定理和奇异频率技术推导了不确定对象的线性化模型,得到的特征多项式是一个不稳定的仿射结构;然后利用参数空间法对所有PID参数值进行验证,建立鲁棒稳定性。通过仿真验证了所提出的图解方法对实现磁悬浮系统鲁棒稳定性的有效性。
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引用次数: 0
An Anomaly-based Technique for Fault Detection in Power System Networks 基于异常的电网故障检测技术
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423479
Mohammed Wadi, Wisam Elmasry
In recent years, fault detection in electrical power systems has attracted substantial attention from both research communities and industry. Although many fault detection methods and their modifications have been developed during the past decade, it remained very challenging in real applications. Moreover, one of the most important parts of designing a fault detection system is reliable data for training and testing which is rare. Accordingly, this paper proposes an anomaly-based technique for fault detection in electrical power systems. Furthermore, a One-Class Support Vector Machine (SVM) model and a Principal Component Analysis (PCA)based model are utilized to accomplish the desired task. The used models are trained and tested on VSB (Technical University of Ostrava) Power Line Fault Detection dataset which is a large amount of real-time waveform data recorded by their meter on Kaggle. Finally, performance and Receiver Operating Characteristic (ROC) curves analyses of our results are exploited to verify the effectiveness of the proposed technique in the fault detection problem.
近年来,电力系统的故障检测受到了学术界和工业界的广泛关注。虽然在过去的十年中已经开发了许多故障检测方法及其改进,但在实际应用中仍然存在很大的挑战。此外,设计故障检测系统最重要的部分之一是可靠的训练和测试数据,而这些数据很少。为此,本文提出了一种基于异常的电力系统故障检测技术。此外,利用一类支持向量机(SVM)模型和基于主成分分析(PCA)的模型来完成期望的任务。使用的模型在VSB(俄斯特拉发技术大学)电力线故障检测数据集上进行训练和测试,该数据集是由他们的仪表在Kaggle上记录的大量实时波形数据。最后,利用我们的结果的性能和接收机工作特征(ROC)曲线分析来验证所提出的技术在故障检测问题中的有效性。
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引用次数: 12
Voltage Problems Causes and Effects in Grid Connected Photovoltaic systems in Turkey 土耳其并网光伏系统电压问题的原因及影响
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423480
B. Eid, B. Tankut
The usage of the Photovoltaic (PV) power systems has been increased dramatically, due to the abundant of the solar irradiation, and the government incentives everywhere. In most of the developed countries, the standards for connecting the PV systems to the grid has been set and is already applied. The incentives and regulations that supports PV systems are increasing day by day in Turkey. Because of this regulations more and more PV systems are connecting to the grid. Such high penetration of the PV systems in the distribution network leads to voltage disturbances. This paper studies the causes and effects of the voltage problem and proposes the best solutions to; mitigate the voltage disturbances and increase the distribution network stability.
由于太阳能辐射的丰富和各国政府的激励措施,光伏发电系统的使用量急剧增加。在大多数发达国家,光伏系统与电网的连接标准已经制定并实施。在土耳其,支持光伏系统的激励措施和法规日益增多。由于这一规定,越来越多的光伏系统连接到电网。光伏系统在配电网中的高渗透率导致电压扰动。本文研究了电压问题产生的原因和影响,并提出了解决电压问题的最佳方案;减轻电压干扰,提高配电网稳定性。
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引用次数: 0
Performance Comparison of Different Manufacturers Solar PV Modules Used in Gaza Strip 加沙地带不同厂家太阳能光伏组件的性能比较
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423485
Tamer Abu Dabbousa, Ibrahim Al-Reqeb, Yousef Al-Mutayeb, Jamal M. Alattar, M. Zainuri
With the significant increase in energy demand, there has been a trend toward using renewable energy sources. Solar energy as a type of renewable energy is the most abundant renewable energy available. To convert solar energy to electrical energy, a photovoltaic (PV) module is used. This paper focuses on PV module performance and its associated production losses. The methodology followed in this study was to use PVsyst software to compare the performance of different manufacturers PV modules under the same load profile and weather conditions. The comparison was made in terms of the efficiency and losses of some PV modules available in the local markets of Gaza Strip - Palestine. The selected PV modules for the performance comparison had the following brand names: Canadian Solar Inc., Trina Solar, GCL, JA Solar, and Suntech. The modules’ efficiencies were 16.19%, 16.12%, 15.91%, 16.21%, and 16.31% respectively. The results showed that the total losses of the modules were 13.77%, 13.24%, 12.55%, 13.36%, and 13.35% respectively.
随着能源需求的显著增加,使用可再生能源已成为一种趋势。太阳能作为一种可再生能源,是目前最丰富的可再生能源。为了将太阳能转化为电能,需要使用光伏(PV)模块。本文主要关注光伏组件的性能及其相关的生产损失。本研究采用的方法是使用PVsyst软件来比较不同制造商的光伏组件在相同负载和天气条件下的性能。比较了加沙地带-巴勒斯坦当地市场上的一些光伏组件的效率和损耗。选择的光伏组件性能比较有以下品牌:加拿大太阳能公司,天合光能,协鑫,晶澳太阳能和尚德。组件的效率分别为16.19%、16.12%、15.91%、16.21%和16.31%。结果表明,各模块的总损耗分别为13.77%、13.24%、12.55%、13.36%和13.35%。
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引用次数: 0
Luenberger Observer-Based Speed Sensor Fault Detection of BLDC Motors 基于Luenberger观测器的无刷直流电机速度传感器故障检测
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423483
Yousef Al-Mutayeb, Moayed Almobaied
Fault Tolerant Control Systems (FTCS) have become an important area of research for improving safety, reliability and efficiency of modern control systems. Generally, FTCS technique can be active or passive control. In this paper, the Fault Detection and Diagnosis (FDD) which belongs to the active control branch is used in order to detect faults that may occur in speed hall sensors of Brushless DC Motors (BLDC). The FDD methodologies, which depend on the process and the type of data available can be divided into two approaches; Model-based methods and data-based methods. Here, the proposed method focuses on the investigation of the use of Luenberger observer technique which belongs to the model-based approach. This observer depends on the residual signal which is used as a fault indicator in the overall system and represents the difference between the measured speed signal from the plant and the estimated speed signal. BLDC motor is selected as a benchmark for testing the proposed method due to the increasing demand for this type of motors especially in the renewable energy sector as in electrical vehicles, solar system, and new water pumping systems. The effectiveness of the proposed method is proved using MATLAB simulations and the results illustrate clearly the detection of faults as expected with high performance response.
为了提高现代控制系统的安全性、可靠性和效率,容错控制系统已经成为一个重要的研究领域。一般来说,FTCS技术可以是主动控制或被动控制。为了检测无刷直流电动机速度霍尔传感器可能出现的故障,本文采用了主动控制分支故障检测与诊断(FDD)技术。FDD方法取决于过程和现有数据的类型,可分为两种方法;基于模型方法和基于数据的方法。在这里,提出的方法侧重于研究Luenberger观测器技术的使用,该技术属于基于模型的方法。该观测器依赖于残差信号,残差信号在整个系统中用作故障指示器,表示来自设备的测量速度信号与估计速度信号之间的差值。由于对这种类型的电机的需求不断增加,特别是在电动汽车、太阳能系统和新的水泵系统等可再生能源领域,无刷直流电机被选为测试所提出方法的基准。通过MATLAB仿真验证了该方法的有效性,结果清楚地表明故障检测符合预期,并具有较高的性能响应。
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引用次数: 1
Impact Assessment of Utilizing Municipal Solid Waste for Energy Generation: A case study for MSW management plant at Sofa landfill site 利用城市固体废物发电的影响评估:索法垃圾填埋场城市固体废物管理厂案例研究
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423474
Sanaa Y. Saleh, Alaa El-Ghussain, Alaa Abo Muaamaer, Hanan El-Khatib
In this paper, technical, economic and environmental impacts of utilizing useful Municipal Solid Waste (MSW) in the Gaza Strip for energy generation via Waste to Energy (W2E) steam generator as part of a Combined Heat and Power (CHP) plant are discussed. Being a good biogenic resource with high energy content, the paper also presents a practical solution for MSW treatment featuring a conceptual architectural design of a management plant to be located at Sofa landfill site considering MSW reduction, reuse, recycling and recovery (4Rs). Based on an assumed amount of MSW production of 190kton/year used for electricity generation, it was estimated that the required W2E steam unit size is 15MW. The amount of energy generated from this W2E unit is estimated to be 120GWh/year. Additionally, the reduced amount of Green House Gases (GHG) especially Carbon dioxide (CO2) emissions is estimated to be in the range of 88kton per year. Approximation of the capital cost of the W2E unit is evaluated at about 2900USD/kW. The Levelized Cost of Energy (LCOE) for the project is calculated to be about 0.05$/kWh. The capital cost retrieval period from energy sales is estimated to be in the range of 2-3 years.
本文讨论了利用加沙地带有用的城市固体废物(MSW)通过废物变能源(W2E)蒸汽发生器作为热电联产(CHP)工厂的一部分进行能源生产的技术、经济和环境影响。作为一种具有高能量的良好生物资源,本文还提出了一种实用的城市固体废物处理解决方案,包括位于索法垃圾填埋场的管理工厂的概念性建筑设计,其中考虑到了城市固体废物的减量、再利用、再循环和回收(4Rs)。根据用于发电的 190kton/year MSW 产量假设,估计所需的 W2E 蒸汽装置规模为 15MW。该 W2E 装置产生的能量估计为 120GWh/年。此外,每年减少的温室气体(GHG),特别是二氧化碳(CO2)排放量估计在 88kton 左右。据估算,W2E 设备的资本成本约为 2900 美元/千瓦。经计算,该项目的平准化能源成本(LCOE)约为 0.05 美元/千瓦时。能源销售的资本成本回收期估计为 2-3 年。
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引用次数: 0
Using Data mining for GEDCO customers' data to increase the collection of electricity bills in Gaza Strip 对GEDCO客户的数据进行数据挖掘,以增加加沙地带电费的收集
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423487
Aiman Ahmed Abu Samra, Ahmad Alghoul, Rajai Alhimdiat
The Gaza Governorate Electricity Distribution Company (GEDCO) is an economic service company operating with a special financial liability and owned by the Palestinian National Authority and local authorities.The unpaid bills are one of the company's biggest operating obstacles that obstructs money processing. The ever-increasing number of unpaid invoices has caused constant problems with the company's cash flow.In this paper, Data mining techniques and neural networks techniques were implemented over the data warehouses of GEDCO. Decision tree machine learning algorithm is used to classify the customers according to their commitment to payment, as well as to extract the categories for each class of customers. The neural networks are used to train the machine to extract a threshold for consumption and amperes. The threshold extracted for each subscriber according to his history of consumption and payment, to help him stay committed to payment.The results concluded that consumption should not exceed some value, based on the address of the subscribers, the number of amperes and the history of payment.The study that will be recommended to GEDCO, should improve their data warehouses to include more features and categories of their databases especially the subscribers’ occupations and level of income.
加沙省配电公司(GEDCO)是一家经济服务公司,由巴勒斯坦民族权力机构和地方当局拥有,承担特殊的财务责任。未付账单是该公司阻碍资金处理的最大运营障碍之一。不断增加的未付发票给公司的现金流造成了持续的问题。本文将数据挖掘技术和神经网络技术应用于GEDCO的数据仓库。采用决策树机器学习算法,根据客户的支付承诺对客户进行分类,并提取每一类客户的类别。神经网络用于训练机器提取消耗和安培的阈值。根据每个订阅者的消费和支付历史提取的阈值,以帮助他保持支付承诺。根据用户的地址、安培数和支付历史,得出的结论是,用电量不应超过某个值。将向全球人口与发展事务部建议的研究应改善其数据仓库,以包括其数据库的更多特征和类别,特别是订户的职业和收入水平。
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引用次数: 0
Impact of High Penetration Renewable Energy Systems on Low-Frequency Oscillations 高渗透可再生能源系统对低频振荡的影响
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423472
H. Abumeteir, A. Vural
The side effects of producing electrical energy by the traditional ways that depend on fossil fuels are increased due to the rapidly rising energy demand in global. In recent decades, attention has shifted to integrating renewable energy systems (RES) to the power systems to reduce environmental side effects. However, this type of integration makes the power system control more complicated due to the volatile and variable nature of the RESs. Moreover, the topological changes of the power systems with the addition of RESs can negatively affect power system stability. Low-frequency oscillation is considered as one of the major concerns in the area of power system stability. This paper aims to investigate the impact of high penetration of RESs with different cases to the power systems. The considered RESs in this work are wind turbine and photovoltaic solar systems. These RESs are installed to 2-area Kundur power system to investigate the effects on low-frequency oscillations such as local and inter-area oscillations.
由于全球能源需求的快速增长,依靠化石燃料的传统方式生产电能的副作用日益增加。近几十年来,人们的注意力已经转移到将可再生能源系统(RES)整合到电力系统中,以减少对环境的副作用。然而,由于RESs的易失性和可变性,这种类型的集成使得电力系统控制更加复杂。此外,随着RESs的加入,电力系统的拓扑变化会对电力系统的稳定性产生负面影响。低频振荡被认为是电力系统稳定领域的主要问题之一。本文的目的是通过不同的案例来研究RESs的高渗透对电力系统的影响。在这项工作中考虑的RESs是风力涡轮机和光伏太阳能系统。将这些RESs安装在2区Kundur电力系统中,以研究其对局部和区域间振荡等低频振荡的影响。
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引用次数: 1
A Low-cost Solar System for Freezers without Back-up Batteries 无备用电池冰箱的低成本太阳能系统
Pub Date : 2021-03-23 DOI: 10.1109/ICEPE-P51568.2021.9423473
K. H. Dawoud, A. Abu-Hudrouss
This paper introduces a 420-liter freezer powered by a PV solar system that works without spare batteries. Hence, it provides a green solution for stand-alone applications in remote areas and in places with electricity shortage. To this end, an AC compressor is replaced with a DC compressor to run by the PV panels using a controller that can allow for easy start-up, maximum power tracking, and power management for the system. The designed prototype enabled the freezer to run with attested operation. There are no issues concerning the compressor starting if the speeds is lowered. The system can remain operational even during low solar irradiance days. In addition, an optimum utilization of the photovoltaic energy can be accomplished.
本文介绍了一种420升的冰箱,它由无需备用电池的光伏太阳能系统供电。因此,它为偏远地区和电力短缺地区的独立应用提供了绿色解决方案。为此,将交流压缩机替换为直流压缩机,由光伏板使用控制器运行,该控制器可方便启动、最大功率跟踪和系统电源管理。所设计的样机使冷冻机能够运行。如果转速降低,压缩机启动没有问题。即使在太阳辐照度低的日子里,系统也能保持运行。此外,可以实现光伏能源的最佳利用。
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引用次数: 0
ICEPE- P 2021 Cover Page ICEPE- P 2021封面页
Pub Date : 2021-03-23 DOI: 10.1109/icepe-p51568.2021.9423469
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引用次数: 0
期刊
2021 International Conference on Electric Power Engineering – Palestine (ICEPE- P)
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