{"title":"A brief survey on different multilevel inverter topologies for grid-tied solar photo voltaic system","authors":"B. G. Devi, M. Mahesh","doi":"10.1109/SEGE.2017.8052775","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052775","url":null,"abstract":"As days go, renewable energy resources getting lot of consideration due to the growing demand of energy. In view of all the renewable energy resources, solar energy is very prominent because sunlight is obtainable all over the year. This research work concentrates on performance and reliability enhancement of grid-connected Solar Photo Voltaic (SPV) power conversion system with a prominent implementation of progressive power electronics technology in the view of catering the major requirements of the grid-tied SPV inverter such as reliability, improved efficiency and cost of the system. As of now some types of inverter has been used for grid connected PV system that each of them containing some good results and drawbacks. In PV power conversion applications, some parameters such as switching frequency, Total Harmonic Distortion, leakage current and common mode voltage and current overflow are dominant. These parameters affect the major objectives of PV system that are reliability, efficiency and cost. This proposed work is to achieve the high reliability and improved efficiency of grid-tied multilevel inverter for the PV system using proposed Cascaded H-bridge multilevel inverter with less complexity.","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":"130721838","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 novel protection scheme for DC microgrid with hierarchical control","authors":"C. Patil, S. Thale, S. Muchande, Arvind H Kadam","doi":"10.1109/SEGE.2017.8052786","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052786","url":null,"abstract":"Microgrids have gained more popularity with advancement in renewable energy technology, mainly solar. While the boom in renewable technology has provided an alternative solution for energy crisis and depleting conventional sources, their intermittent nature has raised various control and protection issues. In both AC and DC microgrids, protection issues remain similar except the fact that in DC microgrids protection becomes more critical due to absence of natural current zero. This paper proposes a novel adaptive protection strategy, which acclimates as per the system condition and configuration. The protection scheme is designed and developed for a low voltage hierarchical controlled DC microgrid. A three-layer hierarchical control stacked with a local control, an emergency control and a supervisory control is used. Local controllers control the converters associated with the source to achieve source optimization and provide local power flow control. Emergency control is realized with a microgrid protection and control supervisor (MPCS). When fault or sudden large change in load occurs, the stability of system gets critical. Quick and accurate differentiation of normal and abnormal operating conditions becomes essential. The MPCS takes over the control in such situations. The absolute values and rate of change of voltage and current measured at multiple points in the system, helps MPCS to act precisely and quickly. The supervisory control updates MPCS to adapt to the current state of the system with the help of pre-calculated modified fault levels. Texas Instruments' TMS320F28069 digital signal processors (DSP) are utilized for the implementation of proposed microgrid protection scheme.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"20 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":"116521646","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":"Low-carbon transportation pathways through power-to-gas","authors":"Azadeh Maroufmashat, M. Fowler","doi":"10.1109/SEGE.2017.8052824","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052824","url":null,"abstract":"In this paper, different low-carbon pathways of power-to-gas for sustainable transportation are compared from technical, economical, and environmental point of view. Surplus power in Ontario can be converted into hydrogen or synthetic methane for hydrogen fuel cell and natural gas vehicles. The efficiency of power to hydrogen are estimated to be around 50–80% without consideration of underground storage and 36–67% considering underground storage. In long-term, their efficiencies will be increased to 54–82% and 43–66%, respectively. The efficiencies of power to synthetic methane is less than its alternatives and it is in the range of 27–57%. In terms of economic analysis, the cost of power to hydrogen pathways are less than the others, however, natural gas cars can be more in the road than hydrogen fuel cell vehicles, due to the refueling station infrastructure accessibility. In terms of environmental consideration, the GHG emission of power to natural gas are much lower than their alternatives due to the CO2 capturing happens in the methanation reactor.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"30 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":"133434458","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":"Comparison between particle swarm optimization and Cuckoo Search method for optimization in unbalanced active distribution system","authors":"Tianjian Wang, Matin Meskin, I. Grinberg","doi":"10.1109/SEGE.2017.8052769","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052769","url":null,"abstract":"Recently, the integration of distributed generation (DG) units to distribution networks has grown significantly. This integration provides an opportunity to control the power flow, resulting in the optimal power flow (OPF) at the distribution level. OPF can reduce system losses and decrease the DG generation costs. Additionally, it can improve the voltage profile. Applying OPF to distribution networks is a challenging task since the nature of distribution networks makes the OPF a nonlinear problem. In this paper, a multi-objective function is used to define the nonlinear power flow problem. To solve the OPF problem, the Particle Swarm Optimization (PSO) and Cuckoo Search (CS) algorithms are applied. These approaches are investigated utilizing IEEE 37 nodes test case. Comparing the results of the two methods shows that the CS algorithm performs better than PSO. The advantages of the CS algorithm, including fewer initial solutions, strong optimization searching ability, and fast convergence speed, make it an effective tool for solving the nonlinear optimization problem.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"16 4 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":"125745375","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":"Techno-economic feasibility analysis of a solar PV grid-connected system with different tracking using HOMER software","authors":"H. A. Garni, A. Awasthi","doi":"10.1109/SEGE.2017.8052801","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052801","url":null,"abstract":"The renewable energy sources are promising to take a significant share in the energy sector as a viable option for integration with conventional fossil fuel power plants. This paper contributes to the ongoing studies about grid-connected solar photovoltaic (PV) system and draws attention to the optimal design and sizing considering several techno-economic factors including net present cost, cost of energy, PV power generation and PV array tracking systems. The actual data required by the model including solar irradiation, air temperature, load profile, cost of energy for Makkah, Saudi Arabia have been utilized in the proposed model. The HOMER (Hybrid Optimization of Multiple Energy Resources) software is employed to model the energy system and study the performance of the technical and economic aspects. PV tracking system configurations with different time adjustments including horizontal-axis (monthly adjustment, weekly adjustment, daily adjustment, continuous adjustment), vertical-axis (continuous adjustment), and two-axis tracking system are investigated.","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":"122383737","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":"Hybrid drone for data transaction","authors":"R. Shenoy, B. K. Keshavan","doi":"10.1109/SEGE.2017.8052805","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052805","url":null,"abstract":"With the advent of Smart Meters, the data transactions between the meters & main data centers have become a matter of utmost importance. The present method through Data Collectors and Hand Held Units are not reliable as one can't ensure 100% data collection, they are time consuming, requires manual labor, which in turn may be error prone due to human intervention. Drones are the latest technology that can be used to serve this purpose. The proposed technique provides the solution to minimize these issues and automate the process of data collection. This is further improved by integrating the renewable sources to power the drone and the data collection unit. The drone is to be powered by solar Photo Voltaic technology along with batteries to improve its endurance. The proposed work aims to provide a green alternative to fully automate the electrical grid.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"21 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":"127306654","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":"Integration of building energy modeling in the design process to improve sustainability standards in the residential sector — Case study of the Eastern Province of Saudi Arabia","authors":"Wahhaj Ahmed, Hasan Fardan, M. Asif","doi":"10.1109/SEGE.2017.8052817","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052817","url":null,"abstract":"Saudi Arabia has high per capita electricity usage, amounting to around 9000 kWh/year. The residential sector accounts for almost 52% of the total national electricity consumption and the energy demand from it is expected to double by 2025. The associated environmental and economic pressures advocate for an improvement in energy consumption patterns by means of energy efficiency strategies. Currently, sustainable measures including energy conservation are not among the priorities of the building sector stakeholders such as architects, investors, developers and contractors. For a sustainable built environment, the conventional design process has to be modified and building energy modeling (BEM) needs to be incorporated in it from the early stages. This study measures the energy and environmental savings achievable through incorporating BEM in decision making from an early stage of the design process. An industry survey is carried out to determine the current scope of BEM and to figure out the concerned technical and non-technical barriers restricting industry professionals from using BEM in Saudi Arabia's residential building designs. Possible solutions are discussed to overcome these barriers. Energy and environmental advantages are measured in the residential sector by comparing an existing residential villa energy consumption and simulating it into different scenarios with energy efficient design solutions.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"377 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":"131610845","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":"Optimal PMUs placement for full observability of electrical power systems using flower pollination algorithm","authors":"Karim M. Hassanin, A. Abdelsalam, A. Abdelaziz","doi":"10.1109/SEGE.2017.8052770","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052770","url":null,"abstract":"This paper presents a novel optimization method called flower pollination algorithm to solve the optimal placement problem of phasor measurement units (PMUs) in electrical power systems for achieving full system observability. PMU is considered as a one of the most important measuring devices used for improving state estimation of power system. This problem aims to minimize the number of PMUs to achieve full system observability and maximizing measurement redundancy at system buses. The efficiency and robustness of the proposed optimization method has been tested on the IEEE 14-bus, IEEE 30-bus, IEEE 57-bus, IEEE 118-bus test systems, New England 39-bus and Canal Network 49-bus and Western Delta Network 52-bus at Egypt. The results obtained by the proposed method are compared with other optimization methods such as binary particle swarm optimization method, greedy algorithm, single vertex and binary integer linear programming.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"17 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":"131190451","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":"Modeling and simulation of the 2016 Chevy Volt in dual PMSM EV mode","authors":"J. Henry, A. Abdelrahman, M. Youssef","doi":"10.1109/SEGE.2017.8052776","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052776","url":null,"abstract":"In this study, a novel mode l of a Hybrid Electric Vehicle (HEV) based off the 2016 Chevy Volt is implemented and examined. The study will also examine the operation of the modified Series Parallel Hybrid Electric Vehicle (SPHEV) and modeled powertrain components contained within. The 2016 Chevy Volt has six unique modes of operation; however, the dual Permanent Magnet Synchronous Motor (PMSM) EV drive as well as the application of regenerative braking is the area of focus for this initial study. In these modes of interest we will examine the following characteristic outputs of our model: Current in/out of Battery, DC converter low voltage side current, state of charge (SOC) of the battery, Voltage at Both sides of DC-DC converter, Vehicle Torque vs Vehicle Speed and power loss through the DC-DC converter. Observing the simulation results conducted in PSIM10 HEV Design Suite we can support the functionality of the model.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"60 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":"115497669","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":"Azeotropic distillation of hydrochloric acid in the copper-chlorine cycle for hydrogen production","authors":"M. Lescisin, O. Jianu, M. Rosen, K. Pope","doi":"10.1109/SEGE.2017.8052819","DOIUrl":"https://doi.org/10.1109/SEGE.2017.8052819","url":null,"abstract":"In this paper, azeotropic distillation is investigated for concentrating HCl(aq) between the electrolysis and hydrolysis processes of the copper-chlorine cycle for hydrogen production. Recent progress on the cycle suggests HCl(aq) will need to be concentrated through its azeotrope, which cannot be achieved with typical distillation techniques. A heated distillation system is designed and constructed to investigate the distillation process on both sides of the azeotrope to collect new data for azeotropic distillation of HCl(aq). The distillation system consists of one packed distillation column with heating tapes and thermocouples to achieve a desired axial temperature profile. The column can be operated in batch or continuous mode. The HCl concentrations of the output products are determined by measuring the concentration of Cl−(aq) ions.","PeriodicalId":404327,"journal":{"name":"2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"83 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":"122477926","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}