Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286142
Yi Zhang, Bin Chen, Yue Xiang, Wei Yang, Junyong Liu, You-bo Liu
Long-term charging demand modeling of the plug-in electric vehicles (PEVs) is essential for various sectors involved to promote the proliferation of PEVs and friendly integrate large population of PEVs into power systems. Considering the market penetration development of PEVs will drive the evolution of charging demand, a long-term PEVs charging demand model based on agent-based technology is proposed in this paper, which modeling individual heterogeneous consumers displaying different preferences when making vehicle purchase decisions and charging behaviors as intelligent agents, and the interactions among consumers due to social dynamics are also taken into consideration. Case studies demonstrate the feasibility and effectiveness of the proposed methodology. Furthermore, the factors that affect the market evolution of PEVs and different charging strategies are also analyzed.
{"title":"Long-term charging demand modeling and analysis","authors":"Yi Zhang, Bin Chen, Yue Xiang, Wei Yang, Junyong Liu, You-bo Liu","doi":"10.1109/EPEC.2017.8286142","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286142","url":null,"abstract":"Long-term charging demand modeling of the plug-in electric vehicles (PEVs) is essential for various sectors involved to promote the proliferation of PEVs and friendly integrate large population of PEVs into power systems. Considering the market penetration development of PEVs will drive the evolution of charging demand, a long-term PEVs charging demand model based on agent-based technology is proposed in this paper, which modeling individual heterogeneous consumers displaying different preferences when making vehicle purchase decisions and charging behaviors as intelligent agents, and the interactions among consumers due to social dynamics are also taken into consideration. Case studies demonstrate the feasibility and effectiveness of the proposed methodology. Furthermore, the factors that affect the market evolution of PEVs and different charging strategies are also analyzed.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"9 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":"125603145","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.2017.8286190
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.2017.8286145
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}
Pub Date : 2017-10-01DOI: 10.1109/EPEC.2017.8286225
M. H. Naushath, A. Rajapakse, A. Gole, I. Fernando
A novel hybrid HVDC grid configuration consisting of line commutated converters (LCCs) and voltage source converters (VSCs) is investigated in this paper. The proposed hybrid HVDC grid can be used to deliver power to intermediate urban/remote load centers or collect power from remote/renewable generation at sites along a long LCC transmission line. An electromagnetic transients (EMT) simulation model of a four terminal HVDC grid was developed together with master controls required to maintain the desired power flow. Two possible operating modes were investigated. In the first mode, two VSCs tap into an LCC HVDC link. In the second mode, two VSCs share the surplus transmission capacity of an LCC HVDC line for point-to-point power transfer. Control strategies to start-up the converter stations, energize the grid, and controls to achieve the desired power flow between converter stations are proposed. With the proposed controls and energization sequence, smooth operation of the whole grid could be achieved for both modes of operation.
{"title":"Energization and regulation of a hybrid HVDC grid with LCC and VSC","authors":"M. H. Naushath, A. Rajapakse, A. Gole, I. Fernando","doi":"10.1109/EPEC.2017.8286225","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286225","url":null,"abstract":"A novel hybrid HVDC grid configuration consisting of line commutated converters (LCCs) and voltage source converters (VSCs) is investigated in this paper. The proposed hybrid HVDC grid can be used to deliver power to intermediate urban/remote load centers or collect power from remote/renewable generation at sites along a long LCC transmission line. An electromagnetic transients (EMT) simulation model of a four terminal HVDC grid was developed together with master controls required to maintain the desired power flow. Two possible operating modes were investigated. In the first mode, two VSCs tap into an LCC HVDC link. In the second mode, two VSCs share the surplus transmission capacity of an LCC HVDC line for point-to-point power transfer. Control strategies to start-up the converter stations, energize the grid, and controls to achieve the desired power flow between converter stations are proposed. With the proposed controls and energization sequence, smooth operation of the whole grid could be achieved for both modes of operation.","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":"133549303","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.2017.8286195
T. Alzahawi, M. Sachdev, G. Ramakrishna
Power transmission systems of today are operating closer to their limits due to economic and environmental constrains. As a consequence, many systems around the world experience voltage collapse leading to partial or complete blackouts. Load shedding is a cost effective solution for preventing system collapse. In this paper, a new load shedding scheme based on the algorithm of time to voltage collapse is presented. The developed scheme uses not only local voltage and current measurements but also measurements from nearby buses to determine optimum time and location for load shedding. The developed scheme was tested using the IEEE 30-Bus test system for variety of operating conditions.
{"title":"Time to voltage collapse dependence of load shedding to avoid voltage collapse","authors":"T. Alzahawi, M. Sachdev, G. Ramakrishna","doi":"10.1109/EPEC.2017.8286195","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286195","url":null,"abstract":"Power transmission systems of today are operating closer to their limits due to economic and environmental constrains. As a consequence, many systems around the world experience voltage collapse leading to partial or complete blackouts. Load shedding is a cost effective solution for preventing system collapse. In this paper, a new load shedding scheme based on the algorithm of time to voltage collapse is presented. The developed scheme uses not only local voltage and current measurements but also measurements from nearby buses to determine optimum time and location for load shedding. The developed scheme was tested using the IEEE 30-Bus test system for variety of operating conditions.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"71 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":"122225915","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.2017.8286173
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.2017.8286183
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}
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}
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