2016 IEEE Smart Energy Grid Engineering (SEGE)最新文献_第4页

Analysis of elevator drives energy consumptions with permanent magnet machines 永磁电梯驱动能耗分析

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589523

Anand Raghavendra Rao, M. Mahesh

引用次数: 12

SDN based dynamic and autonomous bandwidth allocation as ACSI services of IEC61850 communications in smart grid 基于SDN的动态自主带宽分配作为智能电网中IEC61850通信的ACSI业务

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589549

Gaolei Li, Jun Wu, Longhua Guo, Jianhua Li, Hongkai Wang

{"title":"SDN based dynamic and autonomous bandwidth allocation as ACSI services of IEC61850 communications in smart grid","authors":"Gaolei Li, Jun Wu, Longhua Guo, Jianhua Li, Hongkai Wang","doi":"10.1109/SEGE.2016.7589549","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589549","url":null,"abstract":"Fine-grained multiple dimensional monitoring and control of power infrastructures enables the scale of network traffic to grow at an exponential way in smart grid. However, bandwidth remains a constrained resource which is infeasible to provision at liberty in IEC61850 based substation. Motivated by the observation that it is important to allocate appropriate bandwidth for each terminal device according to the whole network states and service priority, we propose a novel dynamic bandwidth allocation scheme, which is based on software defined networks (SDN) and IEC61850 to guarantee high bandwidth utilization in substation networks. In the proposed scheme, network elements are interconnected and interoperated with power infrastructures seamlessly through the general abstract communication service interfaces (ACSI). Moreover, a modified SDN controller is designated to monitor and control states of both station-level network and process-level, in which dynamic bandwidth allocation policy are formulated to ACSI services. On one hand, the controller serves for diverse applications of Intelligence Electric Devices (IEDs) autonomously. On the other hand, every IED needs to report its bandwidth requirements to controller. Besides, an efficient communication mechanism is also proposed for information exchange between IEDs and modified controller. Therefore, bandwidth for each traffic flow can be configured according to the whole network states in real time. Moreover, traffic flows can be forwarded through multiple routing paths. To evaluate the performance of proposed scheme, bandwidth utilization of MMS, GOOSE and SAV communications are simulated. Simulation results show bandwidth utilization for MMS, GOOSE and SAV is improved significantly.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125529077","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: 12

Noise characteristics and fast filtering of synchronized frequency measurement in low voltage grid 低压电网同步测频噪声特性及快速滤波

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589559

Zongshuai Jin, Hengxu Zhang

{"title":"Noise characteristics and fast filtering of synchronized frequency measurement in low voltage grid","authors":"Zongshuai Jin, Hengxu Zhang","doi":"10.1109/SEGE.2016.7589559","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589559","url":null,"abstract":"Power system monitoring is the basis of realizing operation safety and stability. The increasing integration of renewable energy generation along with the growing diffusion of nonlinear loads and micro-generators complicates the characteristics of low voltage grid, which leads to new requirements for the synchronized dynamic monitoring in low voltage electrical network. Unfortunately, the signal waveform in low voltage grid is polluted by heavy noises, which will influence the estimation accuracy of synchronized frequency measurement at low voltage side. Firstly, this paper summarizes the noise characteristics of synchronized frequency measurement at low voltage side, including white Gaussian noise, random impulsive noise and periodic impulsive noise. Secondly, based on the noise characteristic, median filtering and mean filtering methods are analyzed as the best choice of the fast noise filter. Thirdly, the optimal parameter of the filter is analyzed by simulation. The optimal length of filter window can be determined according to this simulation result in the condition that SNR is known. Finally, one filtering case of the frequency signal recorded by PMU Light is analyzed, which proves that the noise can be filtered effectively by the filter. It is worthy to emphasize that this fast filtering method is a good choice of measurement preprocessing for various online applications of synchronized frequency measurement in low voltage network.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132612210","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: 8

Optimization and simulation of smart grid distributed generation: A case study of university campus 智能电网分布式发电优化与仿真——以高校校园为例

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589517

Harpreet Sharma, Gagandeep Kaur

引用次数: 21

Hierarchical safety control for micro energy grids using adaptive neuro-fuzzy decision making method 基于自适应神经模糊决策方法的微电网分层安全控制

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589513

Yahya Koraz, H. Gabbar

引用次数: 6

Study and simulation of a solar generator in site Saharien 撒哈拉地区太阳能发电机的研究与仿真

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589545

T. Ghaitaoui, B. Ali, Laribi Sliman

{"title":"Study and simulation of a solar generator in site Saharien","authors":"T. Ghaitaoui, B. Ali, Laribi Sliman","doi":"10.1109/SEGE.2016.7589545","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589545","url":null,"abstract":"The various energy constraints dictated by a series of global economic and environmental social factors require the international scientific community to find viable alternatives to conventional energy sources. Renewable energies such as the photovoltaic one is among the most coveted and developed energy sources worldwide. Technology of inorganic semiconductor-based silicon and other considerably developed and responds more to the desired energy goals Technology of inorganic semiconductor. Which is very expensive and requires considerable resources, making it limited to the most powerful country in the world. The technology of organic semiconductor is much easier and more accessible which promises a very bright. It can be considered as a real alternative for countries with limited resources for the widespread use of solar energy [1]. This research is in the field of preparation and characterization of organic solar cells based on semiconducting polymers. After having carried out a scientific statement on the technology of organic semiconductors, have been able to be achieved in collaboration with the Department of Industrial Chemistry a multilayer organic cell where the polymer is polyaniline. The disadvantage of this solar cells type is its low efficiency. The cell we have developed is to present a comparison of the literature performance. This technology must was improved to increase its performance, which may not be on inorganic cells but enough to meet domestic needs.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068866","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: 0

Study of start-up of a continuous digester for biogas production 连续沼气池沼气生产的启动研究

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589543

K. Slimane, Djaafri Mohammed, Kaidi Kamel, Khelafi Mostafa, T. Ahmed, Salem Fethya, Touzi Abdelkader

引用次数: 0

Impact of including dynamic line rating model on colombian power system 纳入动态线路额定模型对哥伦比亚电力系统的影响

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589496

J. Chinchilla-Guarin, J. Rosero

{"title":"Impact of including dynamic line rating model on colombian power system","authors":"J. Chinchilla-Guarin, J. Rosero","doi":"10.1109/SEGE.2016.7589496","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589496","url":null,"abstract":"This paper discusses the impact of dynamic line rating (henceforth DLR) of transmission lines on power flow of the Colombian National Interconnected System (SIN, in Spanish), specifically in the Department of Cundinamarca. Input data were meteorological values as angle of wind, wind speed and environmental temperature. DLR was implemented on National Laboratory of Smart Grids, LAB-i, on Bogotá Campus of Universidad Nacional de Colombia to find dynamic rating, resistance, capacitance and inductance in transmission lines of Cundinamarca. LAB-i platform was used to visualize the results of lines and power flow model, which was ran hourly for 1 day. In addition, voltage and power factor at system nodes are shown. The results indicate that transmission lines can carry 70.9% more current using DLR regarding static rating and DLR improved power systems calculations. Active energy losses decreased 39.27% during a day compared to a power flow when line rating is static. Efficiency of the line is directly related to its rating, i.e. the efficiency of lines is higher at nights, when the peak occurs in the daily load curve in Colombia. Dynamic rating is inversely related to voltage magnitude at a PV node and directly related to the voltage at a PQ node. This is due to variations in the voltage drop of the line. Voltages do not exceed the ranges established by the local and international regulations and their variation was up to 0.02% at PV nodes and 0.04% at PQ nodes for one day.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196656","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: 9

A comparison of NYS utilities' approaches to integrate distributed energy resources and the penetration over time 纽约公用事业公司整合分布式能源的方法及其随时间的渗透比较

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589494

Suyash A. Sahasrabhojanee, J. S. Sathe, T. Bujanovic, P. Ghosh, W. Maxwell

{"title":"A comparison of NYS utilities' approaches to integrate distributed energy resources and the penetration over time","authors":"Suyash A. Sahasrabhojanee, J. S. Sathe, T. Bujanovic, P. Ghosh, W. Maxwell","doi":"10.1109/SEGE.2016.7589494","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589494","url":null,"abstract":"The Reforming the Energy Vision, is an ambitious project initiated by NYS Governor Andrew Cuomo in 2015 to, in part, integrate Distributed Energy Resources, in an effort to transform New York State's electric transmission and distribution system for the 21st Century. One aspect of the program has placed the integration of Solar & Wind power generation projects on to the Operating Companies Networks into high gear. Even with NYS statutes on how the Utilities are to accept all qualified electric generators into their systems, there still remains some discretion in how the individual Utilities may accomplish this effort. Consequently, each Operating Company may have a set of rules and regulations as to how the connection shall be made. This leads to more questions than answers. To gain knowledge about different aspects of the project we started to learn more detail about the project and various potential approaches to get to the goal. We are also studying variations in the imperative system parameters before and after distributed integration. In this presentation we will present our initial study on some approaches and critical parameters that we think are important for the system design based upon the regulations from the NYS Department of Public Service. Discussion will also include technologies, design approaches and challenges to determine the practicality and feasibility of distributed integration in a power system from an economic as well as operational point of view.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396742","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: 0

Predictive modeling of dissolved gas concentrationin oil-immersed substation transformers 油浸式变电站变压器中溶解气体浓度的预测建模

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589536

Younghun Kim, Aanchal Goyal, Tarun Kumar

{"title":"Predictive modeling of dissolved gas concentrationin oil-immersed substation transformers","authors":"Younghun Kim, Aanchal Goyal, Tarun Kumar","doi":"10.1109/SEGE.2016.7589536","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589536","url":null,"abstract":"With the advent of smart grids, a significant amount of data has become available about the electric infrastructure. Much of research focus has been on exploiting newly available data sources such as smart meters and phasor measurement units. This paper proposes a new class of predictive analytics that can be built to manage existing infrastructure by combining new and old data sources together. Power transformers, one of the most critical assets in the grid, are perhaps frontrunners among `smarter' set of assets which have significant instrumentation already installed to monitor their operating conditions such as load, voltage, and internal oil temperature. While such advanced instrumentation enables detailed operating condition monitoring, manual measurement of dissolved gas concentration has been the primary fault diagnostic method to identify their fault modes. Dissolved gas analysis (DGA) offers great potential to diagnose fault modes in such oil-immersed transformers. This manual routine DGA, however, is costly and not free from error. Fortunately, it is understood that the loading conditions of transformers are major drivers of fault modes in oil-immersed transformers. In this paper, a predictive model is proposed to predict accumulation of dissolved gas concentration in sealed substation transformers based on its historical loading conditions. A multi-dimensional regression approach is used to predict the concentration level of each gas in real-time. Measurements from historical dissolved gas analyses are used to solve the regression problem with a robust optimization framework. The simulation results show that the forecasting of each dissolved gas based on loading characteristics is possible with high regression accuracy ranging from 84% to 97%. Thus this method can be used to optimize DGA inspection schedules as well as to provide “virtual DGA instrumentation” without the associated high cost.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127216774","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: 4