G. Wang, Rentao Gu, Jiawei Zhang, Hui Li, Yuefeng Ji
{"title":"Asynchronous delivery oriented efficient resource allocation in TWDM-PON enabled fronthaul","authors":"G. Wang, Rentao Gu, Jiawei Zhang, Hui Li, Yuefeng Ji","doi":"10.1109/ONLINEGREENCOM.2016.7805405","DOIUrl":"https://doi.org/10.1109/ONLINEGREENCOM.2016.7805405","url":null,"abstract":"Mobile internet traffic is increasing explosively, while many type of applications are delay-elastic in nature. We investigate the asynchronous delivery oriented algorithms to decrease peak-to-average ratio (PAR), i.e., the ratio of optical resource usage in the peak period to the average per-period usage of the fronthaul, while improve the optical resource allocation efficiency. In this paper, we formulate an integer non-linear programming (INLP) optimization model and propose an adaptive generic algorithm (GA) to realize the optimization in a limited time. The simulation results show that the maximum PAR decreases by 32% with asynchronous delivery oriented optical resource optimization. Besides, optical resource saving can be achieved with minimal influence on topology, and the load difference can be further reduced.","PeriodicalId":143498,"journal":{"name":"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114154109","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":"Agent-based charging scheduling of electric vehicles","authors":"Armin Ghasem Azar, R. Jacobsen","doi":"10.1109/OnlineGreenCom.2016.7805408","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2016.7805408","url":null,"abstract":"The electric vehicle technology intends to mitigate negative impacts of the energy challenge on the current transportation infrastructure. However, integrating a large number of such vehicles imposes a significant additional load to the grid and may overload it. This paper proposes a hierarchical event-driven multi-agent system framework for coordinated charging scheduling of electric vehicles. Household agents negotiate temporal travel patterns with substation agents to decide when electric vehicles should charge their batteries. A scalable load scheduling algorithm is proposed to schedule charging process of electric vehicles in real-time regardless of using any forecasting method. It aims to permit as many electric vehicles as possible to operate while keeping their aggregated charging energy consumption below continuous electricity-price-dependent thresholds over time. Simulations confirm that the framework benefits from charging flexibilities, reduces the charging cost, and shaves the grid's peak.","PeriodicalId":143498,"journal":{"name":"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128530081","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":"Using IEC 61850 and IEEE WAVE standards in ad-hoc networks for electric vehicle charging management","authors":"Paul Nsonga, S. Hussain, I. Ali, T. Ustun","doi":"10.1109/OnlineGreenCom.2016.7805404","DOIUrl":"https://doi.org/10.1109/OnlineGreenCom.2016.7805404","url":null,"abstract":"As Electric Vehicles (EVs) grow in popularity in developed countries, their integration within the Internet of Things (IoT) domain is envisaged. When fitted with wireless sensors and communication devices, On-Board Units (OBUs) for example, EVs have the ability to establish links with their surroundings. In this regard, EVs could communicate with Road Side Units (RSUs) in Intelligent Transport Systems (ITSs) and smartgrid. This paper proposes an EV charging load management scheme based on communication between EVs and RSU modeled on the IEEE Wireless Access in Vehicular Environments (WAVE) standard and EV communication with charging stations (CSs) modeled on the IEC 61850 power utility automation and communication standard. Communication and service models of EVs communication with RSUs and CSs based on the IEEE WAVE and IEC 61850 standards are developed. An EV charge scheduling algorithm based on communication among EVs, ITS components like RSUs and smartgrid components like CSs is also presented.","PeriodicalId":143498,"journal":{"name":"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121545707","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}