{"title":"Design and control of resilient interconnected microgrid for sustained railway","authors":"Taylor Egan, H. Gabbar, A. Othman, R. Milman","doi":"10.1109/SEGE.2017.8052788","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052788","url":null,"abstract":"This paper demonstrates the design and control of a resilient interconnected microgrid to support railway infrastructure. A microgrid can alleviate some of the issues due to their proximity to local power substations. When coupled with a transportation network, the microgrid can become useful in supporting the transportation network during regular operation, and emergency events. A grid-connected microgrid will be formed using a photovoltaic system, wind turbine, battery bank and flywheel energy storage system. The microgrid will also be able to take advantage of the recovered energy from the train when it is braking. A microgrid supervisory controller will be used to balance the energy steams exchanged between the train and microgrid. The proposed solution has been demonstrated using simulation and real data, where the achieved results confirm the effectiveness of the proposed control architecture in terms of cost, performance and resilience.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124832066","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}
M. Asif, Ammar H. A. Dehwah, Adel S Al-dosary, Kh. Md. Nahiduzzaman, A. Abdallah
{"title":"Building related PV systems in GCC countries: A SWOT analysis","authors":"M. Asif, Ammar H. A. Dehwah, Adel S Al-dosary, Kh. Md. Nahiduzzaman, A. Abdallah","doi":"10.1109/SEGE.2017.8052804","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052804","url":null,"abstract":"The Gulf Cooperation Council (GCC) countries have over 50% and 30% of global oil and gas reserves respectively and have therefore traditionally relied on fossil fuels to meet all their energy requirements. In recent years however there has been a realization to diversify their energy mix and tap on their rich solar energy potential. While buildings account for as much as 80% of the total national power generation in these countries, the emphasis thus far has been on large scale solar energy projects. The article examines the prospects of application of PV in building by undertaking a strength, weakness, opportunities and threat (SWOT) analysis. In this respect wide ranging technical, cultural, economic and policy related factors have been highlighted. A modeling exercise has also been undertaken to examine the rooftop applicability of PV in residential buildings. Underlying examples from developed countries, the paper concludes with policy recommendations to promote the application of solar.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122795673","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":"Multi-objective optimization of a residential building envelope in the Bahamas","authors":"Raymond D. Bingham, M. Agelin-Chaab, M. Rosen","doi":"10.1109/SEGE.2017.8052815","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052815","url":null,"abstract":"This paper uses a multi-objective optimization approach to assess building energy performance for residential homes in the Bahamas with the goal of providing objective data to policymakers to help achieve the country's sustainability goals. A non-sorting genetic algorithm (NSGA-II) is used to find optimal solutions to building design configurations such as wall types, insulation thickness, insulation type, etc. Building energy consumption and life cycle costs are the objectives. The study uses jEPlus+EA and EnergyPlus as simulation tools to perform the optimization to provide understanding of the interactions between the objectives and optimal design parameters. Optimal solutions obtained are compared with typical building designs to assess the performance of the optimal design configurations. The results indicate that the use of insulation in the envelope and improvements to the window fenestration are warranted. Also, the optimal solutions achieve energy reductions over current standards are up to 39% with a reduction in the life-cycle cost of up to 18.5%.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604491","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":"A combinational power sharing strategy based on master-slave and droop methods for power-electronics-interfaced distributed generation units operating in a DC micro-grid","authors":"S. Rahmani, M. Saeidi, A. Pirayesh","doi":"10.1109/SEGE.2017.8052767","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052767","url":null,"abstract":"Renewable energy sources (RESs), distributed energy sources (DERs), and energy storage systems (ESSs) grid integration resulted in forming microgrid (MG) concept. Recently, DC microgrids (DC-MGs) have gained intensive attention compared to AC microgrids due to their high reliability and efficiency, easy interface with RESs and ESSs, and simple control. Proper power sharing is one of the most important challenges in islanding operation of DC-MGs. Power sharing methods are implemented in the islanded DC-MGs in order to share the load demand between DGs based on their capacity, and to maintain voltage in the desired range. In this paper, principles and flaws of droop and master-slave power sharing methods are individually discussed. Moreover, the proper voltage and current controller is designed for each distributed generation (DG) unit of DC-MG. In order to exploit positive features and mitigate negative effects of mentioned power sharing methods, a combinational master-slave and droop method is presented. Finally, various scenarios are carried out on a test DC-MG using Matlab/Simulink software in order to compare proposed power sharing method with droop and master-slave methods in the terms of their dynamic response, accuracy, and power sharing error.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128140456","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}
M. Wang, Jun Wu, Gaolei Li, Jianhua Li, Qiang Li, Shen Wang
{"title":"Toward mobility support for information-centric IoV in smart city using fog computing","authors":"M. Wang, Jun Wu, Gaolei Li, Jianhua Li, Qiang Li, Shen Wang","doi":"10.1109/SEGE.2017.8052825","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052825","url":null,"abstract":"As a meaningful and typical application scenario of Internet of Things (IoT), Internet of Vehicles (IoV) has attracted a lot of attentions to solve the increasingly severe problem of traffic congestion and safety issues in smart city. Information-centric networks (ICN) is a main stream of next generation network because of its content based forwarding strategy and in-network caching properties. Many existing works have been done to introduce ICN in IoV because of IP-based network architecture's maladjustment of such extremely mobile and dynamic IoV environment. In contrast, ICN is able to sustain packet delivery in unreliable and extreme environment. However, the frequent mobility of the vehicles will consume ICN's network resources to incessantly update the Forward Information Base (FIB) which will further affect the aggregation processing. For example, geographic location based name schema aggregation will be affected dramatically by mobility problem. On the other hand, fog computing is an edge computing technology usually integrated with IoT by bringing computation and storage capacity near the underlying networks to provide low-latency and time sensitive services. In this paper, we integrate fog computing into information-centric IoV to provide mobility support by allocating different schema taking account of the data characteristic (e.g., user-shareable data, communication data). Moreover, we use the computation, storage and location-aware capabilities of fog to design a mobility support mechanism for data exchange and communication considering the feature of IoV service (e.g., alarm danger in local, updating traffic information, V2V communication etc.). We evaluate related performances of the proposed mechanism in high mobility environment, compared with original information-centric IoV. The result shows the advantages of a fog computing based information-centric IoV.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229467","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":"Peak-to-average reduction by community-based DSM","authors":"Y. Yaseen, B. Ghita","doi":"10.1109/SEGE.2017.8052798","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052798","url":null,"abstract":"Current power generation and distribution systems are designed for minimal peak-to-average ratio (PAR) demand, with any fluctuations leading to the addition of alternative, more expensive power generation and a significant increase in pricing for the consumers. While prior research proposed a number of solutions to reduce PAR, the issue remains topical due to the challenges in reallocating demand in a more efficient way. This paper proposes a novel Demand Side Management (DSM) which focuses on a community-based allocation of power demand for minimising the peak load. In the proposed environment, users minimise the peak-to-average ratio (PAR) of the power system by shifting consumption to off-peak times, but the policy is more effective due to the community-based nature of the demand. A daily real load profile of a user was applied to measure the performance of the proposed scheduling technique when minimising PAR, with preliminary experiments demonstrating that the method is able to successfully reduce PAR and peak load.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122269698","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}