2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)最新文献

Distribution network fault section identification and fault location using artificial neural network 基于人工神经网络的配电网故障区段识别与故障定位

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-21 DOI: 10.1109/ICEEE2.2018.8391345

Masoud Dashtdar, R. Dashti, H. Shaker

{"title":"Distribution network fault section identification and fault location using artificial neural network","authors":"Masoud Dashtdar, R. Dashti, H. Shaker","doi":"10.1109/ICEEE2.2018.8391345","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391345","url":null,"abstract":"In this paper, a method for fault location in power distribution network is presented. The proposed method uses artificial neural network. In order to train the neural network, a series of specific characteristic are extracted from the recorded fault signals in relay. These characteristics are obtained by wavelet transform on three-phase currents and sequences and extracting the high frequency characteristic. Since high frequencies are generated during the occurrence of the fault, signal information could be extracted using wavelet transform. After wavelet transform, the entropies of the minor components of the sequences as well as three-phase signals could be obtained using statistics to extract the hidden features inside them and present them separately to train the neural network. Also, since the obtained inputs for the training of the neural network strongly depend on the fault angle, fault resistance, and fault location, the training data should be selected such that these differences are properly presented so that the neural network does not face any issues for identification. Therefore, selecting the signal processing function, data spectrum and subsequently, statistical parameters and their combinations are very important. Finally, one could estimate the fault section, fault location, and fault resistance after implementing the neural network. The simulation results show the good performance of neural network for the faults in different angles, locations, and resistances.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"39 1","pages":"273-278"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85058744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Protection coordination assessment and improvement of electrical network of an industrial complex in connection to power grid: An experience report 某工业园区电网并网保护协调评估与改进经验报告

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-21 DOI: 10.1109/ICEEE2.2018.8391343

R. Dashti, Salahedin Hassani, H. Shaker

{"title":"Protection coordination assessment and improvement of electrical network of an industrial complex in connection to power grid: An experience report","authors":"R. Dashti, Salahedin Hassani, H. Shaker","doi":"10.1109/ICEEE2.2018.8391343","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391343","url":null,"abstract":"Protection of electrical network of an industrial complex is a challenging task in particular in connection to the power grid. This paper is focused on this challenging task and reports on the experience of protection coordination assessment and improvement of electrical network of South Pars Gas Complex (SPGC) and in particular the third south Pars refinery. Today South Pars is the economic hub and heart of the gas and petrochemical industry in Iran. The continuous and stable production of gas from the South Pars Gas Field is very important. In order to supply power to the third south Pars refinery four gas turbine generators (GTG) each with a capacity of 41.1MW and two emergency diesel generators (EDG) each with a capacity of 4.5 MW have been installed. In addition to this, one external line to connect the plant to the power grid is considered. Now the third refinery as an island electrical network operates independently from the power grid and provides energy needs of the refinery process and utility units. By connecting the refinery's electrical network to the power grid short-circuit current value increases. If an error occurs on the internal network when the refinery is connected to the power grid, the fault current will be higher compared to when the Refinery works in island mode. This is because current is also injected from the power grid to the faulty point. In this paper, the third south Pars refinery protection coordination in connection to the power grid will be assessed. The ETAP software will be used for the simulation. While the paper reports the practical experience in relation to this particular case study, the approach and experience helps to face the practical challenges in similar projects.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"127 1","pages":"263-268"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77665918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Grasshopper optimization algorithm for automatic voltage regulator system 自动调压系统的Grasshopper优化算法

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-21 DOI: 10.1109/ICEEE2.2018.8391320

B. Hekimoğlu, Serdar Ekinci

引用次数: 75

Optimization of out-of-band impedance environment for linearity improvements of microwave power transistors 优化带外阻抗环境，提高微波功率晶体管线性度

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-21 DOI: 10.1109/ICEEE2.2018.8391334

M. Chaudhary, Z. Memon, Z. Yusoff, J. Lees, J. Benedikt, P. Tasker

{"title":"Optimization of out-of-band impedance environment for linearity improvements of microwave power transistors","authors":"M. Chaudhary, Z. Memon, Z. Yusoff, J. Lees, J. Benedikt, P. Tasker","doi":"10.1109/ICEEE2.2018.8391334","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391334","url":null,"abstract":"This paper introduces a novel method that allows the presentation of specific, broadband impedances to a DUT by loadpull. To investigate this method, a derivative of class J power amplifier termed BJ is emulated, which effectively lies between class J and class B along the reactive routes on the Smith chart. The mode helps explore baseband linearization approach and its suitability when using continuous mode architectures. Adopting out-of-band impedance optimization technique allows to present impedances and move progressively from a completely real set of loads to completely imaginary set of loads in a deterministic and systematic way. This further extends a view to look at how well the emulated mode linearizes at a set of BJ contour points along the way. The method uses multiple modulated signal sources, phase synchronized at both radio frequency (RF) and intermediate frequency (IF) to provide a complete multi-harmonic broadband loadpull capability controlled by a single local oscillator and allows complete impedance control at the DUT current generator plane.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"16 1","pages":"219-223"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82263062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Parameter optimization of power system stabilizer via Salp Swarm algorithm 基于Salp群算法的电力系统稳定器参数优化

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-21 DOI: 10.1109/ICEEE2.2018.8391318

Serdar Ekinci, B. Hekimoğlu

引用次数: 65

A fitness function for parameters identification of Bouc-Wen hysteresis model for piezoelectric actuators 压电作动器Bouc-Wen滞回模型参数辨识的适应度函数

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-20 DOI: 10.1109/ICEEE2.2018.8391313

A. Saleem, Serein Al-Ratrout, M. Mesbah

{"title":"A fitness function for parameters identification of Bouc-Wen hysteresis model for piezoelectric actuators","authors":"A. Saleem, Serein Al-Ratrout, M. Mesbah","doi":"10.1109/ICEEE2.2018.8391313","DOIUrl":"https://doi.org/10.1109/ICEEE2.2018.8391313","url":null,"abstract":"Piezoelectric actuators (PA) are widely used in micro and nano positioning systems owing to their high stiffness, fast response, compact structure, and high precision. However, nonlinear behaviors of PAs, due to inherited hysteresis, tend to deteriorate their tracking performance. Therefore, many research works have been devoted to the modeling the hysteresis behavior in PAs. A number of nonlinear models were proposed in the literature such as Bouc- Wen (BW). The performance of identification of BW parameters is highly affected by the type of optimization algorithm and the adopted fitness function. One widely used fitness function is the mean square error (MSE). This choice often results in a relatively high error at the peaks and valleys of the displacement waveform. In this paper, a new optimization fitness function, based on the error in the signal peaks and valleys, is proposed. This fitness function is used to estimate the BW model parameters using the particle swarm optimization (PSO) technique. Experimental and simulation results show that this choice of fitness function improved the performance by up to 90% at the peaks and valleys.","PeriodicalId":6482,"journal":{"name":"2018 5th International Conference on Electrical and Electronic Engineering (ICEEE)","volume":"13 1","pages":"119-123"},"PeriodicalIF":0.0,"publicationDate":"2018-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90461854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Support vector machine of wavelet packet spectral features for identification of obstructive sleep apnea 基于小波包谱特征的支持向量机识别阻塞性睡眠呼吸暂停

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-06-20 DOI: 10.1109/ICEEE2.2018.8391366

Serein Al-Ratrout, A. Hossen

引用次数: 7

Overcurrent relay coordination tool for radial distribution systems with distributed generation 带分布式发电的径向配电系统过流继电器协调工具

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-05-03 DOI: 10.1109/ICEEE2.2018.8391292

Poonyapa Sookrod, P. Wirasanti

引用次数: 12

Modular multilevel converters: A study on topology, control and applications 模块化多电平变换器:拓扑、控制与应用研究

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-05-03 DOI: 10.1109/ICEEE2.2018.8391305

M. Kurtoglu, F. Eroǧlu, A. O. Arslan, A. Vural

引用次数: 3

Nonlinear control of a single phase shunt active filter connected photovoltaic systems via sliding mode 滑模法单相并联有源滤波器连接光伏系统的非线性控制

2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) Pub Date : 2018-05-03 DOI: 10.1109/ICEEE2.2018.8391301

A. Elallali, A. A. C. Taghzaoui, Y. Mchaouar, A. Hamdoun, I. Lachkar

引用次数: 6