{"title":"An overview of forecasting techniques for load, wind and solar powers","authors":"Gamal Aburiyana, M. El-Hawary","doi":"10.1109/EPEC.2017.8286192","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286192","url":null,"abstract":"This paper provides an overview of research work on forecasting methods for electric power grids with renewable resources, seeking an efficient integration of renewables into power systems by introducing the ideas of “integrated load, wind and solar power forecasting”.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124941810","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}
Babatunde Odetayo, J. Maccormack, W. Rosehart, H. Zareipour
{"title":"Real option valuation of flexibilities in the integrated planning of natural gas-fired distributed generators and natural gas distribution system","authors":"Babatunde Odetayo, J. Maccormack, W. Rosehart, H. Zareipour","doi":"10.1109/EPEC.2017.8286237","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286237","url":null,"abstract":"This paper presents a framework for evaluating flexibilities and options that accompany staged investment in energy systems such as distributed electric power generators and natural gas distribution network. The timing options of investments in the electric and natural gas systems are first determined by solving a joint long-term energy system planning problem in the presence of uncertain electric power demand. A cumulative real options analysis is then carried out on the timing options presented by the multi-stage joint planning solutions. The value of flexibilities and options are illustrated by testing suggested planning approach on a modified 9-bus distribution text system.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317085","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":"Temperature estimation and vibration monitoring for induction motors","authors":"Xiaodong Liang","doi":"10.1109/EPEC.2017.8286176","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286176","url":null,"abstract":"Condition monitoring is essential for reliable operation of induction motors for various industrial applications. In this paper, an extensive literature review is conducted on temperature estimation and vibration monitoring techniques for induction motors, the state-of-the-art methods are summarized, and their potential application in electrical submersible motors are recommended.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126159337","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 new energy-efficient topology for solar-powered capacitive deionization systems","authors":"Ashraf Seleym, M. Elshafei","doi":"10.1109/EPEC.2017.8286180","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286180","url":null,"abstract":"Basic Capacitive deionization (CDI) is a method of water desalination based on electrical energy that uses porous electrodes (e.g. activated carbon) to store ions. The current solar-powered CDI systems depend on using batteries as a stage between the PV panels and the CDI modules to regulate the required voltage and current. Batteries have a limited and short lifetime and can reduce the overall efficiency of the solar system and as a consequence there will be over cost load. This research paper aims at developing a power efficient technique for directly driving CDI cells from the photovoltaic (PV) solar panels power without batteries. In addition, this paper develops a novel power efficient topology for energy recovery in discharging the CDI cell during the purge cycle.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252686","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":"Evaluation of electric vehicle penetration in a residential sector under demand response considering both cost and convenience","authors":"Zhanle Wang, R. Paranjape","doi":"10.1109/EPEC.2017.8286219","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286219","url":null,"abstract":"This paper proposes a residential load prediction model and an optimal control algorithm considering both electricity payment and waiting time to study impacts of electric vehicle (EV) penetration on the power system. EVs present both challenges (large electrical load) and opportunities (high efficiency and environmentally friendly). The proposed load prediction model simulates heterogeneous residential power consumption. A convex optimization model with real-time pricing (RTP) prediction is proposed to schedule EV charging to determine a tradeoff between electricity payment and waiting time. The dissatisfaction factor from delaying the EV charging, the EV penetration levels and flexibility of charging period are evaluated. The PAPR, standard deviation and electricity payment are significantly decreased by using the proposed optimal control model. Simulation results provide users a base line in which a “best” dissatisfaction factor value can be determined to find a trade-off. This study also shows that, although more and more controlled EV charging has the potential to improve the reliability of the power system, the restricted charging period at the residential sector can be a bottleneck when the EV penetration exceeds a certain level.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130889306","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":"Modal identification of power system oscillation using parametric DFT technique","authors":"Sakthivel Rajmurugan, B. Jeyasurya","doi":"10.1109/EPEC.2017.8286193","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286193","url":null,"abstract":"Fourier based technique of system identification by mode decomposition has always been non-parametric which might not be accurate for power system applications. In this paper, a parametric Discrete Fourier transform (DFT) technique is used to identify both inter-area modes and local area modes of a power system oscillation. The natural frequency and damping ratio (the poles) are obtained from fitting a curve around the dominant peaks in the DFT of the measured signal. Using the estimated poles, the amplitude and phase are obtained by fitting with the measured signal like any other parametric method. In this paper, the parametric DFT is applied for a synthetic signal with closely spaced inter-area modes with poor-damping which is validated in the presence of two levels of white Gaussian noise. The WECC 9 bus system is considered as a case study and the parametric DFT technique is compared and contrasted with the traditional Prony analysis technique.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126056019","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":"An overview of optimization methods for tidal instream and wind turbines farms","authors":"Ali Fituri, H. Aly, M. El-Hawary","doi":"10.1109/EPEC.2017.8286191","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286191","url":null,"abstract":"Renewable energy resources have a positive environmental impact and are considered as a vital source of pollution free energy. Tidal instream and wind energy use similar techniques for generating electrical energy. Wind energy cost is still lower than tidal instream energy cost. However Tidal instream speed is more predictable than wind speed. Researchers are still working on tidal instream to reduce the energy extraction cost. Optimization is one of the best tools used to minimize the cost depending on some constraints. This paper is exploring different optimization tools for wind and tidal instream energies. Three different concepts are discussed using various tools for both types of energy. The fist concept is using arrays layout arrangements for the optimum performance. The second concept consider the turbine parameters for the minimum energy cost. The third concept depends on the coordination between several types of energy sources and the location of the units for the minimum cost.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905246","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":"Dynamic model of an interleaved modular multilevel DC-DC converter for MVDC and HVDC systems","authors":"Yang Gao, Nicolas Faria, G. Kish","doi":"10.1109/EPEC.2017.8286223","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286223","url":null,"abstract":"The first comprehensive dynamic state-space model of an interleaved DC-MMC is presented. The DC-MMC is one of a new class of non-isolated modular multilevel dc-dc converters that are rapidly gaining traction for deployment in MVDC and HVDC systems. A non-linear time-averaged model of a two-string interleaved DC-MMC is derived that fully represents internal capacitor voltage dynamics and converter terminal dynamics. Simulation results verify the time-averaged model exactly captures the low-frequency dynamics of a full switched converter model implemented in PLECS. The model can be used for a variety of applications, for example, rapid time-domain simulation of the DC-MMC, study of internal cell power transfer mechanisms, and analysis of harmonics and circulating currents.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"407 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120866073","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}
P. M. Koumba, A. Chériti, M. Doumbia, A. Bouzid, H. Chaoui
{"title":"Wind turbine control based on a permanent magnet synchronous generator connected to an Isolated electrical network","authors":"P. M. Koumba, A. Chériti, M. Doumbia, A. Bouzid, H. Chaoui","doi":"10.1109/EPEC.2017.8286224","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286224","url":null,"abstract":"In this paper, we study the modeling and control of the permanent magnet synchronous generator (PMSG) based wind turbine associated with a back-to-back converter connected to an isolated electrical network. The growth in exploiting renewable energy resources due to their availability and environmental advantages is the inevitable trend of electricity generation. In this paper, we use a voltage control strategy for a three-level PWM converter based on voltage oriented control (VOC), which guarantees high dynamic and static performance via an internal current control. The space vector pulse width modulation (SVPWM) with VOC is adopted to control the three-phase voltage source converter (VSC), to minimize the grid side current harmonics, active and reactive currents are controlled, respectively, in a d-q rotating coordinate system to achieve a unit power factor. The performance of the proposed overall system is evaluated using MATLAB/Simulink software by performing various simulations.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133473015","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":"An energy management approach for electric vehicle fast charging station","authors":"Yuchong Huo, F. Bouffard, G. Joós","doi":"10.1109/EPEC.2017.8286143","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286143","url":null,"abstract":"The Quebec government is boosting transportation electrification in their fight against climate change. An extensive network of fast charging stations is indispensable for the proliferation of electric vehicle (EV), as it provides a way to charge an EV in a short time. This paper focuses on operational planning and energy management in a fast charging station. First the statistical characteristics of charging demand and the forecast error of embedded station photovoltaic generation are modelled. An energy scheduling strategy of fast charging station is then developed based on the concept of flexibility envelope. In the proposed strategy, the parameters of flexibility requirements are adjusted according to the state of charge of station battery. The performance of the strategy is then evaluated in terms of the stations daily financial performance and customers' waiting time. Using these performance metrics, a set of case studies are conducted to verify the effectiveness of the proposed strategy.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129223815","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}