Yan Zong, X. Dai, K. Busawon, Zhiwei Gao, R. Binns
{"title":"Time Synchronization of Pulse-Coupled Oscillators for Smart Grids","authors":"Yan Zong, X. Dai, K. Busawon, Zhiwei Gao, R. Binns","doi":"10.1109/EFEA.2018.8617078","DOIUrl":"https://doi.org/10.1109/EFEA.2018.8617078","url":null,"abstract":"Wireless sensor networks has been widely recognized as a promising technology in smart grids. The sensors are installed on the critical power grid equipments to acquire the essential grid datas such as voltage, current and system frequency. And the data acquisition in smart grids is particularly time sensitive: the accurate timestamp of information is required from the sensors so that the absolute time of acquisition can be determined. Due to the crystal manufacturing tolerance and working conditions, the clocks of sensor nodes oscillators are non-identical and drifting. Thus, the key enabling technology time synchronization, aiming to provide a common sense of timing, is required in distributed smart grids sensor networks. Inspired by Peskin's model for self-synchronization of cardiac pacemaker, the pulse-coupled oscillators is implemented to the wireless sensor nodes to ensure the wireless networks of smart grids be able to achieve a common timescale, it is also suitable for distributed deployment in large-scale smart grids. In addition, the intensive simulations of three kinds of single-hop wireless sensor networks have been carried out to evaluate the performance of linear pulse-coupled non-identical oscillators.","PeriodicalId":447143,"journal":{"name":"2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128698343","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}
{"title":"Mid-Term Load Power Forecasting Considering Environment Emission using a Hybrid Intelligent Approach","authors":"A. Heydari, F. Keynia, D. Garcia, L. de Santoli","doi":"10.1109/EFEA.2018.8617079","DOIUrl":"https://doi.org/10.1109/EFEA.2018.8617079","url":null,"abstract":"The forecasting of electricity load is considered as an essential instrument, especially in countries with a restructured electricity market. The mid-term prediction is performed for the period within 1 month to 1 or 2 years and it is important for mid-term planning, including planning of repairs and economic exploitation of power systems, which are related to the reliability of the system directly. The forecast horizon in this paper is monthly and on a daily basis (peak load). The combined method of the neural network and the particle optimization algorithm were used to predict the load, and then the maximum amount of environmental pollution caused by the production of electricity required to supply the predicted load was calculated. The applied method was tested on the data of a North American electric company for four months (four seasons) and in comparison to the other methods presented in previous studies, it had an acceptable accuracy.","PeriodicalId":447143,"journal":{"name":"2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134593378","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}
{"title":"Modular Two-Level Voltage Source Converter for Direct Current Transmission Systems","authors":"F. Alsokhiry, Y. Al-Turki, I. Abdelsalam, G. Adam","doi":"10.1109/EFEA.2018.8617108","DOIUrl":"https://doi.org/10.1109/EFEA.2018.8617108","url":null,"abstract":"This paper presents a modular two-level voltage source converter (M2L-VSC) suitable for short distance dc transmission systems with relatively low dc operating voltage. The proposed M2L-VSC consists of two sets of three-phase cells, with each cell has its own capacitor, and these capacitors do not discharge when converter is blocked during dc short circuit fault. The main attributes of the proposed M2L-VSC are absence of the 2nd order harmonic from the arm currents, and reduced energy storage requirement as the cell capacitor only experience high-order harmonic currents associated with the switching frequency as in conventional two-level converter (C2L). The technical feasibility of the M2L-VSC for dc transmission systems has been assessed using simulations and corroborated experimentally. It has been shown that the transient responses of M2L-VSC to ac and dc faults are similar to that of the modular multilevel converter (MMC).","PeriodicalId":447143,"journal":{"name":"2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)","volume":"45 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124196504","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}
{"title":"Land Cover Mapping Analysis using Sentinal-1 Satellite: A Case Study of Hyderabad in INDIA","authors":"D. Vijaykumar, M. M. Nezhad, G. Laneve","doi":"10.1109/EFEA.2018.8617099","DOIUrl":"https://doi.org/10.1109/EFEA.2018.8617099","url":null,"abstract":"In this study, the capability of using Sentinel-1 satellite SAR (Synthetic Aperture Radar) data for land cover mapping in metropolitan areas is investigated. The dual-polarization (VV+VH) Interferometric Wide (IW) swath mode image acquired on February 10th 2018 along descending orbit over Hyderabad city, India has been used. Data have been calibrated, terrain corrected, and filtered by a kernel using gamma filter method. For terrain correction a 30m resolution Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM) has been used. Radar data has been reduced to a spatial resolution of 20m. In general SAR images are well suited to detect urban areas thank to the strong signal responses by double-bounce scattering at the dihedral corner reflector between the ground and the building wall. Different combinations of VV and VH polarizations have been analyzed and the resulting classified images have been evaluated to assess the total classification accuracy. At the end it has been demonstrated that, combining dual-polarization Sentinal-1 data are suitable for producing accurate land cover maps in urban areas for metropolitan cities management purposes. This could represent a significant advantage in the case of regions frequently affected by clouds.","PeriodicalId":447143,"journal":{"name":"2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA)","volume":"80 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127422746","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}