Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286173
A. Siadatan, Mehdi Kholousi Adab, H. Kashian
This paper, Parameters of Toyota Prius and synchronous reluctance motors will be compared to each other for using in electric and hybrid vehicles. Parameters are some physical characteristics of two motors such as weight, cost of raw materials, including electrical and magnetic flux density, torque, power losses, efficiency output power and yield. Physical features of two motors can be calculated with different materials regard to the size and bulk density And to calculate the remaining cases has been used of transient finite element method. At the outset will be proved that the weight of the Prius engine is less than reluctance synchronous motor. However, due to the exist a permanent magnet in raw material structure of the Prius motor, the prices of this motor is higher than reluctance synchronous motor. Finally, according to the outputs magnetic of two motors will be proved that the synchronous reluctance motors has appropriate conditions to use in electric and hybrid vehicles is highest.
{"title":"Compare motors of Toyota Prius and synchronous reluctance for using in electric vehicle and hybrid electric vehicle","authors":"A. Siadatan, Mehdi Kholousi Adab, H. Kashian","doi":"10.1109/EPEC.2017.8286173","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286173","url":null,"abstract":"This paper, Parameters of Toyota Prius and synchronous reluctance motors will be compared to each other for using in electric and hybrid vehicles. Parameters are some physical characteristics of two motors such as weight, cost of raw materials, including electrical and magnetic flux density, torque, power losses, efficiency output power and yield. Physical features of two motors can be calculated with different materials regard to the size and bulk density And to calculate the remaining cases has been used of transient finite element method. At the outset will be proved that the weight of the Prius engine is less than reluctance synchronous motor. However, due to the exist a permanent magnet in raw material structure of the Prius motor, the prices of this motor is higher than reluctance synchronous motor. Finally, according to the outputs magnetic of two motors will be proved that the synchronous reluctance motors has appropriate conditions to use in electric and hybrid vehicles is highest.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"7 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":"125329794","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286200
R. Abdalaal, C. N. Ho
Continuous research to achieve high luminous efficiency with low cost LED lamps has widen the field of LED lighting applications, which dictates the need to study different characteristics of commercial LEDs and their impact on power quality parameters. This paper addresses the negative influence of utilizing LED lamp as a lighting source on power grid and on public health. The operation of the LED and its behavior as a nonlinear load has been further discussed. Various experimental tests that include harmonic analysis, voltage flickering voltage sag, swell and voltage harmonics have been conducted to investigate current and voltage quality issues. This paper aims at a better understanding to the characterization of commercial LED lamps in order to highlight the need for power quality improvement techniques for such an application also the need for new developments that improve LEDs internal power electronic driving circuit.
{"title":"Characterization of commercial LED lamps for power quality studies","authors":"R. Abdalaal, C. N. Ho","doi":"10.1109/EPEC.2017.8286200","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286200","url":null,"abstract":"Continuous research to achieve high luminous efficiency with low cost LED lamps has widen the field of LED lighting applications, which dictates the need to study different characteristics of commercial LEDs and their impact on power quality parameters. This paper addresses the negative influence of utilizing LED lamp as a lighting source on power grid and on public health. The operation of the LED and its behavior as a nonlinear load has been further discussed. Various experimental tests that include harmonic analysis, voltage flickering voltage sag, swell and voltage harmonics have been conducted to investigate current and voltage quality issues. This paper aims at a better understanding to the characterization of commercial LED lamps in order to highlight the need for power quality improvement techniques for such an application also the need for new developments that improve LEDs internal power electronic driving circuit.","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":"130021733","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286186
Martin Haberg, G. Doorman
As a part of the integration of European balancing markets, new products and platforms will improve the possibilities for Transmission System Operators (TSOs) for exchange of balancing energy and netting of imbalances between areas. Proactive TSOs using early activation of manual reserves will have the opportunity to use combination of different products to cover their expected imbalance. These products will be cleared sequentially on separate market platforms, and at different lead times. This paper describes the situation faced by a TSO when determining its need for balancing energy from different reserve products. It also proposes an opportunity-cost based valuation strategy to optimize the volumes obtained in the different markets, thereby minimizing balancing costs.
{"title":"Proactive planning and activation of manual reserves in sequentially cleared balancing markets","authors":"Martin Haberg, G. Doorman","doi":"10.1109/EPEC.2017.8286186","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286186","url":null,"abstract":"As a part of the integration of European balancing markets, new products and platforms will improve the possibilities for Transmission System Operators (TSOs) for exchange of balancing energy and netting of imbalances between areas. Proactive TSOs using early activation of manual reserves will have the opportunity to use combination of different products to cover their expected imbalance. These products will be cleared sequentially on separate market platforms, and at different lead times. This paper describes the situation faced by a TSO when determining its need for balancing energy from different reserve products. It also proposes an opportunity-cost based valuation strategy to optimize the volumes obtained in the different markets, thereby minimizing balancing costs.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"31 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":"129390687","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286190
Olalekan Kolawole, I. Al-Anbagi
In addition to being a clean and environmentally friendly means of transportation, Electric Vehicles (EVs) can also help support the power grid through the Vehicle-to-Grid (V2G) system. If EVs charging and discharging is managed properly, V2G systems can support many services such as peak load leveling, demand response, renewable energy integration and various ancillary services. Ancillary services support such as frequency regulation is a very costly process, which is conventionally done through spinning, non-spinning reserves, back up generators, etc. EV batteries are considered as clean and reliable sources to support frequency regulation. However, the charging/discharging process should be optimized to maximize the benefit for both the EV owners and the utility. In this paper, we develop and solve an optimization problem that minimizes the cost of charging and discharging EVs while supporting frequency regulation. Our optimization problem takes real-time pricing, battery wear and other parameters into account to generate the optimum solutions for individual time slots. We formulate and solve the problem using mixed integer linear programming to minimize the cost of providing this service.
{"title":"Optimizing electric vehicles charging cost for frequency regulation support in a smart grid","authors":"Olalekan Kolawole, I. Al-Anbagi","doi":"10.1109/EPEC.2017.8286190","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286190","url":null,"abstract":"In addition to being a clean and environmentally friendly means of transportation, Electric Vehicles (EVs) can also help support the power grid through the Vehicle-to-Grid (V2G) system. If EVs charging and discharging is managed properly, V2G systems can support many services such as peak load leveling, demand response, renewable energy integration and various ancillary services. Ancillary services support such as frequency regulation is a very costly process, which is conventionally done through spinning, non-spinning reserves, back up generators, etc. EV batteries are considered as clean and reliable sources to support frequency regulation. However, the charging/discharging process should be optimized to maximize the benefit for both the EV owners and the utility. In this paper, we develop and solve an optimization problem that minimizes the cost of charging and discharging EVs while supporting frequency regulation. Our optimization problem takes real-time pricing, battery wear and other parameters into account to generate the optimum solutions for individual time slots. We formulate and solve the problem using mixed integer linear programming to minimize the cost of providing this service.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"2 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":"124528838","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286164
C. Wang, Haipeng Xie, Shiyu Liu, Z. Bie
With the rapid development of HVDC projects and renewable energy, reliability of AC/DC hybrid power system with wind power draws more and more attention. To depict the uncertainty of wind power, this paper proposes the wind power BP neural network model to fit the probability distribution of actual wind speed. Compared with traditional wind power models such as Weibull distribution model, the BP neural network model is closer to the actual probability distribution of wind speed according to numerical results. By using Monte Carlo method, the AC/DC hybrid system states are obtained. Then considering the interaction between AC and DC system, a novel minimum load shedding model of hybrid system with HVDC is proposed. IEEE-RTS 96 system is testified with actual Northern China wind data, which illustrates a more accurate wind power modeling as well as a comprehensive reliability evaluation on AC/DC hybrid power system integrated with wind power.
{"title":"A novel reliability evaluation method of AC/DC hybrid power system with the injection of wind power","authors":"C. Wang, Haipeng Xie, Shiyu Liu, Z. Bie","doi":"10.1109/EPEC.2017.8286164","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286164","url":null,"abstract":"With the rapid development of HVDC projects and renewable energy, reliability of AC/DC hybrid power system with wind power draws more and more attention. To depict the uncertainty of wind power, this paper proposes the wind power BP neural network model to fit the probability distribution of actual wind speed. Compared with traditional wind power models such as Weibull distribution model, the BP neural network model is closer to the actual probability distribution of wind speed according to numerical results. By using Monte Carlo method, the AC/DC hybrid system states are obtained. Then considering the interaction between AC and DC system, a novel minimum load shedding model of hybrid system with HVDC is proposed. IEEE-RTS 96 system is testified with actual Northern China wind data, which illustrates a more accurate wind power modeling as well as a comprehensive reliability evaluation on AC/DC hybrid power system integrated with wind power.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"50 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":"130861830","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286203
Z. Hasan, M. El-Hawary
Optimal power flow (OPF) is a nonlinear, nonconvex and large-scale optimization problem and one of the most important optimization problems in power system operation and control. In smart grid the OPF objectives are modified to minimizing the total fuel cost and the greenhouse gases emissions. One way of achieving this objective is by the integration of significant amount renewable energy and the integration of load reduction as demand side management measure. In this paper, OPF will be modeled and solved for smart grid network assuming significant integration of wind energy to the network and the load reduction programs are active using Khums optimization algorithm (KOA) and black hole optimization algorithm (BH). The IEEE 30-Bus system is used to illustrate performance of the proposed algorithms and results are compared with those in literature.
{"title":"Optimal power flow incorporating wind energy and load reduction by BH algorithm and KOA algorithm","authors":"Z. Hasan, M. El-Hawary","doi":"10.1109/EPEC.2017.8286203","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286203","url":null,"abstract":"Optimal power flow (OPF) is a nonlinear, nonconvex and large-scale optimization problem and one of the most important optimization problems in power system operation and control. In smart grid the OPF objectives are modified to minimizing the total fuel cost and the greenhouse gases emissions. One way of achieving this objective is by the integration of significant amount renewable energy and the integration of load reduction as demand side management measure. In this paper, OPF will be modeled and solved for smart grid network assuming significant integration of wind energy to the network and the load reduction programs are active using Khums optimization algorithm (KOA) and black hole optimization algorithm (BH). The IEEE 30-Bus system is used to illustrate performance of the proposed algorithms and results are compared with those in literature.","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":"130948178","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286229
Vianey Mateo, A. Gole, C. N. Ho
This paper presents the design and implementation of a lab scale FACTS device SVC (Static Var Compensation) for dynamical load balancing. The algorithm presented here is based on the Steinmetz method to balance a single phase load at the end of a 3-phase transmission line. The developed board connects to LabVolt bench equipment to complete the SVC system. The digital implementation of this compensator is done using a Texas Instruments microcontroller. The SVC is intended for demonstrating SVC operation and dynamic load balancing fundamentals to students.
{"title":"Design and implementation of laboratory scale static var compensator to demonstrate dynamic load balancing and power factor correction","authors":"Vianey Mateo, A. Gole, C. N. Ho","doi":"10.1109/EPEC.2017.8286229","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286229","url":null,"abstract":"This paper presents the design and implementation of a lab scale FACTS device SVC (Static Var Compensation) for dynamical load balancing. The algorithm presented here is based on the Steinmetz method to balance a single phase load at the end of a 3-phase transmission line. The developed board connects to LabVolt bench equipment to complete the SVC system. The digital implementation of this compensator is done using a Texas Instruments microcontroller. The SVC is intended for demonstrating SVC operation and dynamic load balancing fundamentals to students.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"18 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":"125252194","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286183
Xiaonan Liu, K. Hou, H. Jia, Yunfei Mu, Xiaodan Yu, Yue Wang, Jialin Dong
Disruptive events, such as natural disasters, terrorist attacks and improper operations, may result in multiple transmission line outage of power system. In order to evaluate their impacts on power system, the concept of resilience is introduced. On the basis of existing resilience assessment methods, this paper develops a series of quantified resilience assessment indices, consisting of both system-level indices and component-level indices, as well as relevant assessment approach. With the system-level indices, the overall resilience of power system can be estimated. Based on the component-level indices, weak points of the system can be identified. Accordingly, the corresponding improving schemes can be raised to enhance the resilience of the original system. Finally, the proposed approach is tested on the IEEE RTS-79 test system under different disruptive events, and then the optimal improving scheme of this test system is determined based on the obtained resilience indices.
{"title":"A quantified resilience assessment approach for electrical power systems considering multiple transmission line outages","authors":"Xiaonan Liu, K. Hou, H. Jia, Yunfei Mu, Xiaodan Yu, Yue Wang, Jialin Dong","doi":"10.1109/EPEC.2017.8286183","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286183","url":null,"abstract":"Disruptive events, such as natural disasters, terrorist attacks and improper operations, may result in multiple transmission line outage of power system. In order to evaluate their impacts on power system, the concept of resilience is introduced. On the basis of existing resilience assessment methods, this paper develops a series of quantified resilience assessment indices, consisting of both system-level indices and component-level indices, as well as relevant assessment approach. With the system-level indices, the overall resilience of power system can be estimated. Based on the component-level indices, weak points of the system can be identified. Accordingly, the corresponding improving schemes can be raised to enhance the resilience of the original system. Finally, the proposed approach is tested on the IEEE RTS-79 test system under different disruptive events, and then the optimal improving scheme of this test system is determined based on the obtained resilience indices.","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":"125456070","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}
In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literature. To address the driving pattern of electric taxis, we introduce the perspective of transport energy supply chain to capture the charging demand and to transform the charging station allocation problem to a location problem. Based on the P-median and the Min-max models, we developed a data-driven method to evaluate the system efficiency and service quality. We also conduct a case study using GPS trajectory data in Beijing, where various location strategies are evaluated from perspectives of system efficiency and service quality. Also, situations with and without congestion are comparatively evaluated.
{"title":"Optimizing electric taxi charging system: A data-driven approach from transport energy supply chain perspective","authors":"Yinghao Jia, Yide Zhao, Ziyang Guo, Yu Xin, Huimiao Chen","doi":"10.1109/EPEC.2017.8286238","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286238","url":null,"abstract":"In the last decade, the development of electric taxis has motivated rapidly growing research interest in efficiently allocating electric charging stations in the academic literature. To address the driving pattern of electric taxis, we introduce the perspective of transport energy supply chain to capture the charging demand and to transform the charging station allocation problem to a location problem. Based on the P-median and the Min-max models, we developed a data-driven method to evaluate the system efficiency and service quality. We also conduct a case study using GPS trajectory data in Beijing, where various location strategies are evaluated from perspectives of system efficiency and service quality. Also, situations with and without congestion are comparatively evaluated.","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":"124432029","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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286145
S. Rajapakse, U. Annakkage
In this paper, Power-Voltage Curves obtained from quasi steady state analysis is used to demonstrate the concept of voltage stability. This method is shown to be applicable to analyze the voltage stability when the load consists of constant admittance as well as dynamic induction motor loads. The results obtained from quasi steady state analysis is compared with the results of detailed real time simulations. As expected, the paper confirms that quasi steady state analysis can be used to predict the voltage collapse point of radial power systems with reasonable accuracy even when the loads consist of dynamic loads. The simulations and analysis programs developed in the research can be used as teaching tools.
{"title":"Demonstration of voltage stability by comparing dynamic simulations and quasi steady state analysis","authors":"S. Rajapakse, U. Annakkage","doi":"10.1109/EPEC.2017.8286145","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286145","url":null,"abstract":"In this paper, Power-Voltage Curves obtained from quasi steady state analysis is used to demonstrate the concept of voltage stability. This method is shown to be applicable to analyze the voltage stability when the load consists of constant admittance as well as dynamic induction motor loads. The results obtained from quasi steady state analysis is compared with the results of detailed real time simulations. As expected, the paper confirms that quasi steady state analysis can be used to predict the voltage collapse point of radial power systems with reasonable accuracy even when the loads consist of dynamic loads. The simulations and analysis programs developed in the research can be used as teaching tools.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"62 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":"134008253","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}
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