2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)最新文献

Implementation of A New Maximum Power Point Tracking Algorithm for partially shaded PV Systems 部分遮阳光伏系统最大功率点跟踪新算法的实现

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782362

Büşra Özgenç, I. Altas

引用次数: 2

Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks 基于广域测量的短时记忆网络暂态稳定性预测

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782391

Can Berk Saner, Mert Kesici, Mohammed Mahdi, Y. Yaslan, V. M. I. Genç

{"title":"Wide Area Measurement-based Transient Stability Prediction using Long Short-Term Memory Networks","authors":"Can Berk Saner, Mert Kesici, Mohammed Mahdi, Y. Yaslan, V. M. I. Genç","doi":"10.1109/SGCF.2019.8782391","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782391","url":null,"abstract":"A fast and accurate transient stability assessment is essential for maintaining the reliability and integrity of the power system where quick corrective control actions are to be taken to prevent cascading outages. In this work, two separate classifiers based on long short-term memory networks are proposed to predict the stability status of a power system after being subjected to a credible fault. These classifiers use the immediate post-fault measurements of bus voltage magnitudes and rate of change of frequencies obtained from phasor measurement units during the first few cycles of the post-fault period. The proposed method does not assume that every bus is equipped with a PMU. It is found out that, even with only 30% of buses equipped with PMUs, the proposed classifiers are able to predict the stability status with an accuracy above 97%. Robustness of the classifiers is also investigated under noisy conditions and against the scenario of missing PMU measurements. A comparison between the two proposed classifiers is conducted by means of a t-test.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233092","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: 7

Software Defined Communication Framework for Smart Grid to Meet Energy Demands in Smart Cities 满足智慧城市能源需求的智能电网软件定义通信框架

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782301

M. Faheem, Muhammad Umar, R. A. Butt, B. Raza, Md. Asri Ngadi, V. C. Gungor

{"title":"Software Defined Communication Framework for Smart Grid to Meet Energy Demands in Smart Cities","authors":"M. Faheem, Muhammad Umar, R. A. Butt, B. Raza, Md. Asri Ngadi, V. C. Gungor","doi":"10.1109/SGCF.2019.8782301","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782301","url":null,"abstract":"In smart cities, the electricity is an essential component since it preserves a certain level of residents' life quality and provisions the entire spectrum of their economic activities. Thus, a smart way is essential to develop cities without disregarding energy issues. In this scope, the smart grid paradigm offers power supply in an efficient, sustainable and economical manner with minimal impact on the environment and can meet the future energy demands. However, real-time monitoring and control of the smart grid (SG) for continuous and quality-aware power supply in smart cities (SCs) is challenging and requires an advanced quality of service (QoS)-aware communication framework. In this context, this research aims to present a novel data-gathering scheme by using the Internet of software-defined mobile sinks (SDMSs) and wireless sensor networks (WSNs) in the smart grid. The extensive simulation results conducted through the EstiNet9.0 indicate that the designed scheme outperforms existing approaches and achieves its defined goals for events-drive applications in the SG.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115071364","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: 16

A LoRa-based Smart Streetlighting System for Smart Cities 基于lora的智慧城市智慧路灯系统

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782413

Ezgi Bingöl, M. Kuzlu, M. Pipattanasompom

引用次数: 19

Green Smart Cities: Living Healthily with Every Breath 绿色智慧城市:呼吸健康生活

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782302

C. Turhan, Ali Serdar Atalay, G. Akkurt

引用次数: 1

Short Term PV Power Estimation by means of Extreme Learning Machine and Support Vector Machine 基于极限学习机和支持向量机的短期光伏发电功率估计

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782324

A. Karabiber, Ö. Alçin

引用次数: 7

Information Gap Decision Theory based Multiobjective OPF for a Power System with Wind Energy Resources 基于信息缺口决策理论的风电系统多目标OPF

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782428

Alisan Ayvaz, V. M. I. Genç

{"title":"Information Gap Decision Theory based Multiobjective OPF for a Power System with Wind Energy Resources","authors":"Alisan Ayvaz, V. M. I. Genç","doi":"10.1109/SGCF.2019.8782428","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782428","url":null,"abstract":"Optimal power flow (OPF) problem has been one of the most important issues in power system operation for many years. The OPF solution is generally sought by optimizing a selected objective, such as the generation cost, subject to security or reliability constraints of the power system. Nowadays, the aim of achieving a desired optimality is not an easy task because of many uncertainties due to various factors or components, notably the generation by means of wind turbines. In this paper, our focus is to present a multi-objective optimal power flow study to be performed for a power system that is considerably dependent on power generation through wind farms. A new risk-based method, information gap decision theory (IGDT), is used to tackle the problem of uncertainties in power generation introduced by the wind turbines. The objectives in the formulated optimization problem are the minimization of the fuel cost, the minimization of the voltage deviations from nominal values and optimizing the reactive power generation. The weighted sum approach is used to solve this problem using a single equivalent objective function.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139994","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

Wide Area Measurement Based Online Monitoring and Event Detection Using Convolutional Neural Networks 基于广域测量的卷积神经网络在线监测与事件检测

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782365

Mert Kesici, Can Berk Saner, Mohammed Mahdi, Y. Yaslan, V. M. I. Genç

引用次数: 8

Stability Enhancement of Isolated-Microgrid Applying Solar Power Generation Using SMES Based FLC 基于中小企业FLC的太阳能发电增强隔离微电网稳定性研究

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782321

Kotb M. Kotb, S. Said, A. Dán, B. Hartmann

引用次数: 10

New Approach for Intelligent Street Lights Using Computer Vision and Wireless Sensor Networks 基于计算机视觉和无线传感器网络的智能路灯新方法

2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG) Pub Date : 2019-04-25 DOI: 10.1109/SGCF.2019.8782330

Orhan Yaman, Mehrnet Karakose

{"title":"New Approach for Intelligent Street Lights Using Computer Vision and Wireless Sensor Networks","authors":"Orhan Yaman, Mehrnet Karakose","doi":"10.1109/SGCF.2019.8782330","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782330","url":null,"abstract":"Smart city is expressed in many different ways by people today. In recent years, smart cities and green technology have become one of the most important and promising items on the world agenda to prepare a better future. The concept of smart city has received great interest in the context of urban development policies. The goal of a smart city is to better use public resources while improving the quality of services provided to citizens while reducing the operational costs of public administration. In this study, wireless sensor networks for smart cities are developed based on smart street light applications. The street lights are equipped with wireless sensor kits to monitor the temperature, humidity and carbon dioxide information of the environment and to monitor the changes in the regions. In addition, the mobility of the environment is analyzed with the camera attached to each sensor kit. The sensor kit was developed using Raspberry pi programming card. A sensor kit for this card has been developed. A wireless sensor network has been created by adding Xbee wireless modules on the sensor kit. The obtained data is collected in a database. The collected data is displayed to the user through an interface.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122242462","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: 6