Pub Date : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333867
S. Mukherjee, S. K. Giri, Sourabh Kundu, Subrata Banerjee
Now-a-days multilevel converters are being considered for low voltage drives and electric vehicle (EV) applications. In EV applications, operating points vary dynamically causing deep variation in power factor and modulation depth. In this paper, a flexible modulation strategy is proposed for a three-level NPC inverter to fit-in such dynamic applications. Considering discontinuous modulation as the most efficient solution for such applications, the proposed modulation strategy provides the flexibility to shift its operating point seamlessly from sinusoidal PWM to generalized discontinuous modulation by allowing a small amount of additional low frequency oscillations. Moreover, a trade-off can be obtained to get the benefit of these two modulation patterns. Additionally, focusing on to the neutral point deviation problem of the NPC inverter, the proposed modulation strategy is capable of balancing two dc-link capacitor voltages effectively throughout the range. The effectiveness of the proposed scheme for a wide range of power factor and modulation index variations is studied through simulation by developing a MATLAB/SIMULINK model for a closed loop drives system. The efficacy of the proposed modulation scheme is validated through experimentation in a laboratory-scale prototype of NPC inverter with induction motor loads.
{"title":"A carrier-based flexible discontinuous modulation scheme for three-level neutral-point-clamped traction inverter","authors":"S. Mukherjee, S. K. Giri, Sourabh Kundu, Subrata Banerjee","doi":"10.1109/ITEC-INDIA.2017.8333867","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333867","url":null,"abstract":"Now-a-days multilevel converters are being considered for low voltage drives and electric vehicle (EV) applications. In EV applications, operating points vary dynamically causing deep variation in power factor and modulation depth. In this paper, a flexible modulation strategy is proposed for a three-level NPC inverter to fit-in such dynamic applications. Considering discontinuous modulation as the most efficient solution for such applications, the proposed modulation strategy provides the flexibility to shift its operating point seamlessly from sinusoidal PWM to generalized discontinuous modulation by allowing a small amount of additional low frequency oscillations. Moreover, a trade-off can be obtained to get the benefit of these two modulation patterns. Additionally, focusing on to the neutral point deviation problem of the NPC inverter, the proposed modulation strategy is capable of balancing two dc-link capacitor voltages effectively throughout the range. The effectiveness of the proposed scheme for a wide range of power factor and modulation index variations is studied through simulation by developing a MATLAB/SIMULINK model for a closed loop drives system. The efficacy of the proposed modulation scheme is validated through experimentation in a laboratory-scale prototype of NPC inverter with induction motor loads.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132238117","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333837
R. Kaarthik, P. Pillay
One of the main challenges in the development of hybrid electric vehicles (HEVs) is control and co-ordination of several power sources. Power electronic emulators for drive trains provide effective and economic ways to test and validate control strategies in real-time. This paper proposes a real-time emulator for parallel hybrid electric vehicles. The major mechanical and electrical parts of a typical parallel hybrid electric vehicle powertrain (the engine drive train and the motor drive train) is modeled mathematically and is emulated in real-time using power hardware-in-the-loop (PHIL). The individual sub-systems are modeled and locally controlled to maintain the required performance and control modes such as speed and torque. Real-time simulation was done in Matlab-Simulink and DS-1103 real-time controller and the results are presented. Voltage source inverters are used as power amplifiers to emulate the characteristics of the individual drive trains. The voltage source inverters are controlled by the same DS-1103 controller in rapid control prototype (RCP) mode. Experimental results with power hardware-in-the-loop emulator is presented for the validation of the proposed scheme.
{"title":"Real-time power hardware-in-the-loop emulation of a parallel hybrid electric vehicle drive train","authors":"R. Kaarthik, P. Pillay","doi":"10.1109/ITEC-INDIA.2017.8333837","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333837","url":null,"abstract":"One of the main challenges in the development of hybrid electric vehicles (HEVs) is control and co-ordination of several power sources. Power electronic emulators for drive trains provide effective and economic ways to test and validate control strategies in real-time. This paper proposes a real-time emulator for parallel hybrid electric vehicles. The major mechanical and electrical parts of a typical parallel hybrid electric vehicle powertrain (the engine drive train and the motor drive train) is modeled mathematically and is emulated in real-time using power hardware-in-the-loop (PHIL). The individual sub-systems are modeled and locally controlled to maintain the required performance and control modes such as speed and torque. Real-time simulation was done in Matlab-Simulink and DS-1103 real-time controller and the results are presented. Voltage source inverters are used as power amplifiers to emulate the characteristics of the individual drive trains. The voltage source inverters are controlled by the same DS-1103 controller in rapid control prototype (RCP) mode. Experimental results with power hardware-in-the-loop emulator is presented for the validation of the proposed scheme.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339807","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333717
L. Manjitha, R. G. Kumar, S. Kannan
In recent years, OEMs have increased focus on development of Hybrid and Electric Vehicles (xEVs) in order to reduce vehicle emissions and dependency on conventional fuels. Energy storage systems are a critical consideration when formulating a strategy relevant to type of hybridization and vehicle. Though many battery technologies and different chemistries have matured, Lead-acid batteries still insist consideration because they have undergone their own remarkable evolution to keep up with the demand for greater efficiency. Given their inherent superior low temperature performance, standardized packaging boundary, less cost and better safety record, consideration bucket only hinges on overall cycle life and power performance and charge acceptance improvements. With advanced formulations leading to improvement in Lead batteries and advent of next Gen lead batteries, life and performance has been dramatically increased to enable serious consideration as a candidate for mild Hybrid applications. This paper will summarize the shortfalls of conventional Lead acid batteries and the advantages of Advanced Lead batteries. Typical merits and challenges faced in estimation of battery state and observations, improvement methods are also discussed in the context of Belt Starter Generator (BSG) based Low Voltage (LV) mild hybrid application in India.
{"title":"Lead acid based low voltage mild hybrid application in India — merits and challenges","authors":"L. Manjitha, R. G. Kumar, S. Kannan","doi":"10.1109/ITEC-INDIA.2017.8333717","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333717","url":null,"abstract":"In recent years, OEMs have increased focus on development of Hybrid and Electric Vehicles (xEVs) in order to reduce vehicle emissions and dependency on conventional fuels. Energy storage systems are a critical consideration when formulating a strategy relevant to type of hybridization and vehicle. Though many battery technologies and different chemistries have matured, Lead-acid batteries still insist consideration because they have undergone their own remarkable evolution to keep up with the demand for greater efficiency. Given their inherent superior low temperature performance, standardized packaging boundary, less cost and better safety record, consideration bucket only hinges on overall cycle life and power performance and charge acceptance improvements. With advanced formulations leading to improvement in Lead batteries and advent of next Gen lead batteries, life and performance has been dramatically increased to enable serious consideration as a candidate for mild Hybrid applications. This paper will summarize the shortfalls of conventional Lead acid batteries and the advantages of Advanced Lead batteries. Typical merits and challenges faced in estimation of battery state and observations, improvement methods are also discussed in the context of Belt Starter Generator (BSG) based Low Voltage (LV) mild hybrid application in India.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132538794","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333882
M. Rajalingam, M. Karthikeyan, V. Diwakar
Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.
{"title":"Electric vehicle battery current prediction based on driving parameters","authors":"M. Rajalingam, M. Karthikeyan, V. Diwakar","doi":"10.1109/ITEC-INDIA.2017.8333882","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333882","url":null,"abstract":"Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129965425","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333835
Venkatanarasimharao Medam, Yaswanth Kumar Lanka, T. Pranav
This paper presents the Manual Speed Assist System (MSAS) and implemented in Electric Vehicles to regulate vehicle actual speed as the driver wishes. One of the important safety related concerns is the proper torque coordination while exiting from MSAS function due to failure modes in the Electric Vehicles. This paper talks about different failure cases that can generate an uncertain torque command to motor and results in poor dynamics, and discussed its associated fail-safe strategies and the importance of torque coordination in Electric Vehicles. The vehicle behaviour during failure conditions have been thoroughly analysed and fail-safe strategies are implemented in Traction Control Unit application software of the vehicle. The MSAS function is experimentally validated, and results are presented.
{"title":"Speed assist system for electric vehicles: Manual speed assist system and fail-safe torque strategies","authors":"Venkatanarasimharao Medam, Yaswanth Kumar Lanka, T. Pranav","doi":"10.1109/ITEC-INDIA.2017.8333835","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333835","url":null,"abstract":"This paper presents the Manual Speed Assist System (MSAS) and implemented in Electric Vehicles to regulate vehicle actual speed as the driver wishes. One of the important safety related concerns is the proper torque coordination while exiting from MSAS function due to failure modes in the Electric Vehicles. This paper talks about different failure cases that can generate an uncertain torque command to motor and results in poor dynamics, and discussed its associated fail-safe strategies and the importance of torque coordination in Electric Vehicles. The vehicle behaviour during failure conditions have been thoroughly analysed and fail-safe strategies are implemented in Traction Control Unit application software of the vehicle. The MSAS function is experimentally validated, and results are presented.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130464023","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333827
A. Veeraraghavan, V. Adithya, Ajinkya Bhave, S. Akella
Battery Management System (BMS) is a critical component in EV (Electric Vehicle) powertrains. The precise knowledge of the battery's state of health and capacity impacts the estimation and control strategies of many other EV components. Current battery aging models are physics-based and complex, with limited capability to run in real-time. In this paper, we apply deep learning techniques to design an estimator of battery capacity using a combination of virtual and real battery data, and which can be run in real-time on the EV ECU. The estimator is implemented in an Amesim model of the EV powertrain and experimental results of its performance with standard drive cycles are demonstrated.
{"title":"Battery aging estimation with deep learning","authors":"A. Veeraraghavan, V. Adithya, Ajinkya Bhave, S. Akella","doi":"10.1109/ITEC-INDIA.2017.8333827","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333827","url":null,"abstract":"Battery Management System (BMS) is a critical component in EV (Electric Vehicle) powertrains. The precise knowledge of the battery's state of health and capacity impacts the estimation and control strategies of many other EV components. Current battery aging models are physics-based and complex, with limited capability to run in real-time. In this paper, we apply deep learning techniques to design an estimator of battery capacity using a combination of virtual and real battery data, and which can be run in real-time on the EV ECU. The estimator is implemented in an Amesim model of the EV powertrain and experimental results of its performance with standard drive cycles are demonstrated.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132145","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333883
P. Sathyanarayana, G. Kumar
EVs will play a very significant role in meeting the challenges of global warming and depletion of oil resources. Optimizing for better efficiency without compromising on NVH performance is very challenging for electric drivelines than conventional engines. This paper discusses on the methodology to optimize the efficiency and improve NVH of gearbox for commercial vehicle application. Gears are designed and optimised for high contact ratio, high mesh efficiency, low transmission error and less load distribution factor, whereas Casing internal geometry optimised for effective lubrication and to reduce the oil churning losses.
{"title":"Optimization of single speed EV drivetrain for commercial electric vehicles","authors":"P. Sathyanarayana, G. Kumar","doi":"10.1109/ITEC-INDIA.2017.8333883","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333883","url":null,"abstract":"EVs will play a very significant role in meeting the challenges of global warming and depletion of oil resources. Optimizing for better efficiency without compromising on NVH performance is very challenging for electric drivelines than conventional engines. This paper discusses on the methodology to optimize the efficiency and improve NVH of gearbox for commercial vehicle application. Gears are designed and optimised for high contact ratio, high mesh efficiency, low transmission error and less load distribution factor, whereas Casing internal geometry optimised for effective lubrication and to reduce the oil churning losses.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114674402","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8356951
Ranjeeta Patel, Ashish Ranjan Dash, A. Panda
In recent years, a number of industry applications increased with the use of advanced power electronics devices and frequency inverter fed induction motor. This study presents a highly reliable 3-phase dual-buck half-bridge shunt active power filter (DB HB APF) for the elimination of current harmonics produced by these non-linear loads. The dual buck inverter circuit effectually eliminates the undesirable “shoot-through” occurrence ensues in conventional inverter circuit. The fuzzy based id-iq control strategy with adaptive hysteresis has been adopted to generate the reference compensating current. For validation, the proposed topology is implemented in the OPALRT LAB uses OP5142-Spartan 3 FPGA.
{"title":"Real-time harmonic mitigation using fuzzy based 3-phase dual-buck half-bridge active power filter for industrial load","authors":"Ranjeeta Patel, Ashish Ranjan Dash, A. Panda","doi":"10.1109/ITEC-INDIA.2017.8356951","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8356951","url":null,"abstract":"In recent years, a number of industry applications increased with the use of advanced power electronics devices and frequency inverter fed induction motor. This study presents a highly reliable 3-phase dual-buck half-bridge shunt active power filter (DB HB APF) for the elimination of current harmonics produced by these non-linear loads. The dual buck inverter circuit effectually eliminates the undesirable “shoot-through” occurrence ensues in conventional inverter circuit. The fuzzy based id-iq control strategy with adaptive hysteresis has been adopted to generate the reference compensating current. For validation, the proposed topology is implemented in the OPALRT LAB uses OP5142-Spartan 3 FPGA.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124979371","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8356966
A. K. Chauhan, M. Raghuram, S. Singh
Z-source inverters are very popular in recent times because of their inherent capability to step up/down the input voltage. This concept can be extended to multilevel inverter. As compared to multilevel inverter, two level Z-source inverter has several drawbacks like high filter size, poor performance in terms of THD, efficiency etc. This paper presents a Z-source integration into modular multilevel converter. Switched inductor cells are used as Z-source network because they exhibit better flexibility and reduced passive element count to achieve desired gain. Furthermore, the analysis of proposed inverter is done in discontinuous current mode(DCM) which signifies that even higher gain can be achieved as compared to continuous current mode(CCM). To implement the control scheme full shoot through or upper shoot through/ lower shoot through technique are developed and compared. For performance calculation, the proposed inverter is simulated using MATLAB/Simulink platform.
{"title":"Generalized switched inductor cell multilevel converter","authors":"A. K. Chauhan, M. Raghuram, S. Singh","doi":"10.1109/ITEC-INDIA.2017.8356966","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8356966","url":null,"abstract":"Z-source inverters are very popular in recent times because of their inherent capability to step up/down the input voltage. This concept can be extended to multilevel inverter. As compared to multilevel inverter, two level Z-source inverter has several drawbacks like high filter size, poor performance in terms of THD, efficiency etc. This paper presents a Z-source integration into modular multilevel converter. Switched inductor cells are used as Z-source network because they exhibit better flexibility and reduced passive element count to achieve desired gain. Furthermore, the analysis of proposed inverter is done in discontinuous current mode(DCM) which signifies that even higher gain can be achieved as compared to continuous current mode(CCM). To implement the control scheme full shoot through or upper shoot through/ lower shoot through technique are developed and compared. For performance calculation, the proposed inverter is simulated using MATLAB/Simulink platform.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920545","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 : 2017-12-01DOI: 10.1109/ITEC-INDIA.2017.8333854
Sonam Parashar, A. Swarnkar, K. R. Niazi, N. Gupta
The large penetration of renewable DGs and electric vehicles rises the uncertainties in generation and load as well. This increases the necessity to manage the supply demand scenario in microgrid to gain maximum benefits to the microgrid operator and vehicle owners without compromising technical factors of the supply system and vehicles also. In this paper, a new charging /discharging model of plug in hybrid electric vehicles (PHEVs) in an office microgrid is proposed considering various uncertainties associated with driving distance of PHEVs and renewable generation. The objective is to minimize the total cost of operation of microgrid as well as to reduce the load variance for achieving maximum benefit both for the microgrid operator as well as vehicle owners. To deal with the associated uncertainties montecarlo simulation is used. The problem is formulated and solved using particle swarm optimization (PSO). The proposed model is compared with the existing charging/ discharging strategy commonly used in the literature where vehicles are charged during low grid prices and discharged during high grid prices. The proposed charging /discharging model found to be promising as compared to other commonly used existing charging/ discharging strategy.
{"title":"Optimal integration of electric vehicles and energy management of grid connected microgrid","authors":"Sonam Parashar, A. Swarnkar, K. R. Niazi, N. Gupta","doi":"10.1109/ITEC-INDIA.2017.8333854","DOIUrl":"https://doi.org/10.1109/ITEC-INDIA.2017.8333854","url":null,"abstract":"The large penetration of renewable DGs and electric vehicles rises the uncertainties in generation and load as well. This increases the necessity to manage the supply demand scenario in microgrid to gain maximum benefits to the microgrid operator and vehicle owners without compromising technical factors of the supply system and vehicles also. In this paper, a new charging /discharging model of plug in hybrid electric vehicles (PHEVs) in an office microgrid is proposed considering various uncertainties associated with driving distance of PHEVs and renewable generation. The objective is to minimize the total cost of operation of microgrid as well as to reduce the load variance for achieving maximum benefit both for the microgrid operator as well as vehicle owners. To deal with the associated uncertainties montecarlo simulation is used. The problem is formulated and solved using particle swarm optimization (PSO). The proposed model is compared with the existing charging/ discharging strategy commonly used in the literature where vehicles are charged during low grid prices and discharged during high grid prices. The proposed charging /discharging model found to be promising as compared to other commonly used existing charging/ discharging strategy.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130255001","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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