Pub Date : 2022-02-05DOI: 10.1109/SGRE53517.2022.9774040
Osman Boyaci, M. Narimani, K. Davis, E. Serpedin
Cascading failure in power systems is triggered by a small perturbation that leads to a sequence of failures spreading through the system. The interconnection between different components in a power system causes failures to easily propagate across the system. The situation gets worse by considering the interconnection between cyber and physical layers in power systems. A plethora of work has studied the cascading failure in power systems to calculate its impact on the system. Understanding how failures propagate into the system in time and space can help the system operator to take preventive actions and upgrade the system accordingly. Due to the nonlinearity of the power flow equation as well as the engineering constraints in the power system, it is essential to understand the spatio-temporal failure propagation in cyber-physical power systems (CPPS). This paper proposes an asynchronous algorithm for investigating failure propagation in CPPS. The physics of the power system is addressed by the full AC power flow equations. Various practical constraints including load shedding, load-generation balance, and island operation are considered to address practical constraints in power system operation. The propagation of various random initial attacks of different sizes is analyzed and visualized to elaborate on the applicability of the proposed approach. Our findings shed light on the cascading failure evolution in CPPS.
{"title":"Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems","authors":"Osman Boyaci, M. Narimani, K. Davis, E. Serpedin","doi":"10.1109/SGRE53517.2022.9774040","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774040","url":null,"abstract":"Cascading failure in power systems is triggered by a small perturbation that leads to a sequence of failures spreading through the system. The interconnection between different components in a power system causes failures to easily propagate across the system. The situation gets worse by considering the interconnection between cyber and physical layers in power systems. A plethora of work has studied the cascading failure in power systems to calculate its impact on the system. Understanding how failures propagate into the system in time and space can help the system operator to take preventive actions and upgrade the system accordingly. Due to the nonlinearity of the power flow equation as well as the engineering constraints in the power system, it is essential to understand the spatio-temporal failure propagation in cyber-physical power systems (CPPS). This paper proposes an asynchronous algorithm for investigating failure propagation in CPPS. The physics of the power system is addressed by the full AC power flow equations. Various practical constraints including load shedding, load-generation balance, and island operation are considered to address practical constraints in power system operation. The propagation of various random initial attacks of different sizes is analyzed and visualized to elaborate on the applicability of the proposed approach. Our findings shed light on the cascading failure evolution in CPPS.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"30 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89546156","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715936
R. Manikandan, S. Raghu, R. R. Singh
Enhancing the reliability of modern industrial drives is critical as it enhances the drive’s availability and allows it to last longer. In electric drive system, the power devices are the most sensitive part, failure of these devices causes vibration and thermal stress on the machine. This article presents a reliable Park’s vector-based open circuit faults detection approach for 3-phase two-level voltage source inverters (2L-VSIs) to improve their operational performance. The proposed technique utilizes the normalized average value and the absolute average value of phase currents as fault indications. Despite transient load and speed circumstances, the empirically designed threshold value ensures independent fault detection in the power converter. The proposed diagnostic scheme can be further incorporated with a suitable fault reconfiguration structure to maintain the performance as drive normal operation. A 4-kW induction motor drive with 3-ph 2L-VSI is implemented in a Matlab/Simulink environment to validate the efficacy of the proposed diagnosis scheme.
{"title":"An Improved Open Switch Fault Diagnosis Strategy for Variable Speed Drives","authors":"R. Manikandan, S. Raghu, R. R. Singh","doi":"10.1109/PESGRE52268.2022.9715936","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715936","url":null,"abstract":"Enhancing the reliability of modern industrial drives is critical as it enhances the drive’s availability and allows it to last longer. In electric drive system, the power devices are the most sensitive part, failure of these devices causes vibration and thermal stress on the machine. This article presents a reliable Park’s vector-based open circuit faults detection approach for 3-phase two-level voltage source inverters (2L-VSIs) to improve their operational performance. The proposed technique utilizes the normalized average value and the absolute average value of phase currents as fault indications. Despite transient load and speed circumstances, the empirically designed threshold value ensures independent fault detection in the power converter. The proposed diagnostic scheme can be further incorporated with a suitable fault reconfiguration structure to maintain the performance as drive normal operation. A 4-kW induction motor drive with 3-ph 2L-VSI is implemented in a Matlab/Simulink environment to validate the efficacy of the proposed diagnosis scheme.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"90 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78448106","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715834
Soham Chakraborty, S. Mukhopadhyay, S. Biswas
This paper proposes a hybrid compensator for mitigating power quality problems in distribution systems. The hybrid compensator constitutes of Thyristor Switched Capacitor (TSC), Thyristor Controlled Reactor (TCR), a lower rating D-STATCOM and a 5th harmonic tuned passive LC filter. The Static var Compensator (SVC) or the TCR-TSC combination works in a coordinated way for the base var compensation. The D-STATCOM works in a coordinated scheme with the SVC and the single tuned LC filter to compensate fundamental var, reduce voltage flicker and also attenuate harmonic currents at the Point of Common Coupling (PCC). The D-STATCOM thus serves a dual role as a var compensator and as an active filter in Selective Harmonic Compensation (SHC) mode to attenuate the 7th harmonic current, hence improving the var compensation and harmonic current filtering at PCC. The proposed hybrid configuration exhibits very low line current THD in accordance with the relevant standards. Also the chance of resonance of the fixed passive filter with the source inductance has been eliminated in the coordination scheme. The simulation results show that the proposed hybrid system compensates var, reduces voltage flicker and harmonic currents at the PCC effectively. The proposed control and coordination scheme is simple to execute besides the hybrid system being highly robust in performance.
{"title":"A Hybrid Compensator for Mitigation of Power Quality Issues in Distribution Systems","authors":"Soham Chakraborty, S. Mukhopadhyay, S. Biswas","doi":"10.1109/PESGRE52268.2022.9715834","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715834","url":null,"abstract":"This paper proposes a hybrid compensator for mitigating power quality problems in distribution systems. The hybrid compensator constitutes of Thyristor Switched Capacitor (TSC), Thyristor Controlled Reactor (TCR), a lower rating D-STATCOM and a 5th harmonic tuned passive LC filter. The Static var Compensator (SVC) or the TCR-TSC combination works in a coordinated way for the base var compensation. The D-STATCOM works in a coordinated scheme with the SVC and the single tuned LC filter to compensate fundamental var, reduce voltage flicker and also attenuate harmonic currents at the Point of Common Coupling (PCC). The D-STATCOM thus serves a dual role as a var compensator and as an active filter in Selective Harmonic Compensation (SHC) mode to attenuate the 7th harmonic current, hence improving the var compensation and harmonic current filtering at PCC. The proposed hybrid configuration exhibits very low line current THD in accordance with the relevant standards. Also the chance of resonance of the fixed passive filter with the source inductance has been eliminated in the coordination scheme. The simulation results show that the proposed hybrid system compensates var, reduces voltage flicker and harmonic currents at the PCC effectively. The proposed control and coordination scheme is simple to execute besides the hybrid system being highly robust in performance.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"87 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81278909","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715741
Ankita Sharma, Akash Saxena, B. Soni, Dheeraj Kumar Palwaliya
Demand Response (DR) program empowers the dynamic prices to actively optimize the consumption. This optimized consumption plays a vital role in resolving the complex operation and reliability issues in the electricity market. The human behaviour aspect of consumers explained by several models that have been reported in the literature. These models depend on the classical utility factor. The effect of price on the consumer’s decision in the field of energy efficiency and reduction of consumption based on behavioural characteristics are two important aspects of DR programs. In absence of such characteristics, results become non-viable. In this paper, the footprint of two time-based DR programs is explored on the peak reduction namely; Real Time Pricing (RTP) and Peak Time Rebate (PTR). Artificial Neural Network (ANN) based topologies for two DR programs are proposed. The proposed topologies employ variation in demand and price, subsequently for simulating an online DR simulator. Demand before and after the RTP and PTR were calculated and compared with four ANN based DR topologies namely; Radial Basis Function Neural Network-Demand Response (RBFN-DR), Feedforward Backprop-Demand Response (FFBP-DR), Layer Recurrent–Demand Response (LR-DR), and Generalized Regression-Demand Response (GR-DR). The proposed models are tested on hourly residential data of test smart grid. By assessing the results from test case, depicted that RBFN-DR proved its efficacy by giving better results for both price-based programs namely; RTP and PTR.
{"title":"Supervised Learning based Demand Response Simulator with RTP and PTR in Context of Smart Grid","authors":"Ankita Sharma, Akash Saxena, B. Soni, Dheeraj Kumar Palwaliya","doi":"10.1109/PESGRE52268.2022.9715741","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715741","url":null,"abstract":"Demand Response (DR) program empowers the dynamic prices to actively optimize the consumption. This optimized consumption plays a vital role in resolving the complex operation and reliability issues in the electricity market. The human behaviour aspect of consumers explained by several models that have been reported in the literature. These models depend on the classical utility factor. The effect of price on the consumer’s decision in the field of energy efficiency and reduction of consumption based on behavioural characteristics are two important aspects of DR programs. In absence of such characteristics, results become non-viable. In this paper, the footprint of two time-based DR programs is explored on the peak reduction namely; Real Time Pricing (RTP) and Peak Time Rebate (PTR). Artificial Neural Network (ANN) based topologies for two DR programs are proposed. The proposed topologies employ variation in demand and price, subsequently for simulating an online DR simulator. Demand before and after the RTP and PTR were calculated and compared with four ANN based DR topologies namely; Radial Basis Function Neural Network-Demand Response (RBFN-DR), Feedforward Backprop-Demand Response (FFBP-DR), Layer Recurrent–Demand Response (LR-DR), and Generalized Regression-Demand Response (GR-DR). The proposed models are tested on hourly residential data of test smart grid. By assessing the results from test case, depicted that RBFN-DR proved its efficacy by giving better results for both price-based programs namely; RTP and PTR.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81540010","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715863
R. Prasad, M. V. Gururaj, N. Padhy
Frequency regulation participation of the permanent magnet synchronous generator (PMSG) wind turbine (WT) is rigorously practiced nowadays with the increasing penetration of renewable generation in the generation mix. In line with the objective, a novel location identified frequency control (LIFC) is proposed by the authors, that select locationally targeted remedial frequency control measures in a decentralized manner and does not depend on system-wise observability. The first component of the LIFC is an attuned power balance factor (APBF) which takes the tie line power into consideration for quick response by the PMSG for enhanced load frequency control (En-LFC). The second term of LIFC is the inertial and primary frequency control loop, and act on the frequency variation over time in the dynamically changing power system. The real-time simulation result shows that the performance of LIFC is fast in action and provides overall frequency support to the grid at the time of frequency events.
{"title":"Frequency Regulation of PMSG Based Wind Turbine Considering Location Identification Technique in High Penetration of Renewable Generation System","authors":"R. Prasad, M. V. Gururaj, N. Padhy","doi":"10.1109/PESGRE52268.2022.9715863","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715863","url":null,"abstract":"Frequency regulation participation of the permanent magnet synchronous generator (PMSG) wind turbine (WT) is rigorously practiced nowadays with the increasing penetration of renewable generation in the generation mix. In line with the objective, a novel location identified frequency control (LIFC) is proposed by the authors, that select locationally targeted remedial frequency control measures in a decentralized manner and does not depend on system-wise observability. The first component of the LIFC is an attuned power balance factor (APBF) which takes the tie line power into consideration for quick response by the PMSG for enhanced load frequency control (En-LFC). The second term of LIFC is the inertial and primary frequency control loop, and act on the frequency variation over time in the dynamically changing power system. The real-time simulation result shows that the performance of LIFC is fast in action and provides overall frequency support to the grid at the time of frequency events.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84286189","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715949
Mohd. Rizwan Khan, Mohd. Faisal Khan, Mohd Sartaj
Compared to three-phase, the multi-phase electrical machine technology renders a reduction in size and weight and an increase in efficiency and reliability of the machine. Self-excited induction generators (SEIGs) are preferred for wind energy conversion systems because they are simple, low-cost, and durable. It is vital to get comprehensive insights into an induction generator’s dynamic behaviour to develop an effective control system governing its voltage, frequency, and reactive power. This study analyses the performance of two non-linear models of an asymmetrical six-phase SEIG using stator and rotor currents as state variables. The mathematical models of SEIG differ in terms of the presence or absence of a dynamic cross saturation effect. Transient events, including voltage build-up, sudden load perturbation, and unloading of the six-phase SEIG, reveal substantial performance variations between the studied modeling approaches. When comparing the full model (which contains the cross-saturation effect) to the simplified model, the full model shows a faster steady-state convergence. Experimental and simulated results are presented to support arguments.
{"title":"Consideration of Dynamic Cross Saturation in Mathematical Modeling of an Asymmetrical Six-Phase SEIG for Wind Energy Applications","authors":"Mohd. Rizwan Khan, Mohd. Faisal Khan, Mohd Sartaj","doi":"10.1109/PESGRE52268.2022.9715949","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715949","url":null,"abstract":"Compared to three-phase, the multi-phase electrical machine technology renders a reduction in size and weight and an increase in efficiency and reliability of the machine. Self-excited induction generators (SEIGs) are preferred for wind energy conversion systems because they are simple, low-cost, and durable. It is vital to get comprehensive insights into an induction generator’s dynamic behaviour to develop an effective control system governing its voltage, frequency, and reactive power. This study analyses the performance of two non-linear models of an asymmetrical six-phase SEIG using stator and rotor currents as state variables. The mathematical models of SEIG differ in terms of the presence or absence of a dynamic cross saturation effect. Transient events, including voltage build-up, sudden load perturbation, and unloading of the six-phase SEIG, reveal substantial performance variations between the studied modeling approaches. When comparing the full model (which contains the cross-saturation effect) to the simplified model, the full model shows a faster steady-state convergence. Experimental and simulated results are presented to support arguments.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85084890","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715875
Devaprasad Paul, A. Goswami
This paper aims at developing a copula model for investigating the dependence structure between normalized energy intensity of oil $(mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1})$ and normalized energy intensity of paper $(mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}})$. The $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ and $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ are derived from real time dissolved gas analysis data of in-service transformer and reactors having age more than a decade. Considering the positive correlation and goodness-of-fit, Gumbel copula is found to be most suitable for modeling the bivariate joint distribution. Results of the copula model indicate that for an increment of $0.5mathrm{k}mathrm{J}/mathrm{k}mathrm{L}$ in $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ there is an increment in $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ between 1.0 and $2.2mathrm{k}mathrm{J}/mathrm{k}mathrm{L}$. It demonstrates the importance of considering $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ in addition to $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ for assessing the fault severity and evaluating the internal condition of liquid and solid insulation of transformer and reactor. The study undertaken will help in monitoring, maintenance, and conditioning assessment of the equipment based on the NEI values, which will further help in saving unprecedented failure of in-service transformer and reactors.
{"title":"Bivariate Modelling of Normalized Energy Intensity of Oil and Paper for Accessing the Fault Severity of Transformer and Reactors","authors":"Devaprasad Paul, A. Goswami","doi":"10.1109/PESGRE52268.2022.9715875","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715875","url":null,"abstract":"This paper aims at developing a copula model for investigating the dependence structure between normalized energy intensity of oil $(mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1})$ and normalized energy intensity of paper $(mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}})$. The $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ and $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ are derived from real time dissolved gas analysis data of in-service transformer and reactors having age more than a decade. Considering the positive correlation and goodness-of-fit, Gumbel copula is found to be most suitable for modeling the bivariate joint distribution. Results of the copula model indicate that for an increment of $0.5mathrm{k}mathrm{J}/mathrm{k}mathrm{L}$ in $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ there is an increment in $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ between 1.0 and $2.2mathrm{k}mathrm{J}/mathrm{k}mathrm{L}$. It demonstrates the importance of considering $mathrm{N}mathrm{E}mathrm{I}_{mathrm{p}mathrm{a}mathrm{p}mathrm{e}mathrm{r}}$ in addition to $mathrm{N}mathrm{E}mathrm{I}_{mathrm{o}mathrm{i}1}$ for assessing the fault severity and evaluating the internal condition of liquid and solid insulation of transformer and reactor. The study undertaken will help in monitoring, maintenance, and conditioning assessment of the equipment based on the NEI values, which will further help in saving unprecedented failure of in-service transformer and reactors.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"25 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85585427","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715815
Pravin Kumar, Vishal Kumar, B. Tyagi
This work proposes the modeling of the DC servo motor by FOPDT model. The experimental validations of the proposed model for the various PI controllers have been carried out. The analysis of different components of the modular servo system has also been stated. Various transient responses like overshoot, steady-state error, delay time, etc., have been considered to evaluate the performance of the proposed model. In the last, the results that were obtained from the experimental setup have been discussed.
{"title":"Experimental Validation of PI Controllers And Modelling of DC Servo Motor by FOPDT Model","authors":"Pravin Kumar, Vishal Kumar, B. Tyagi","doi":"10.1109/PESGRE52268.2022.9715815","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715815","url":null,"abstract":"This work proposes the modeling of the DC servo motor by FOPDT model. The experimental validations of the proposed model for the various PI controllers have been carried out. The analysis of different components of the modular servo system has also been stated. Various transient responses like overshoot, steady-state error, delay time, etc., have been considered to evaluate the performance of the proposed model. In the last, the results that were obtained from the experimental setup have been discussed.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"21 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81479342","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 : 2022-01-02DOI: 10.1109/PESGRE52268.2022.9715871
Sandeep V. Nair, Veena P, Shivam Chakraborty, Kunal Layek, K. Hatua
The motors for electric vehicles are designed to satisfy various performance requirements like gradability, acceleration time, top speed and driving range. The motor design for electric vehicles is different in some aspects compared to the design for typical applications like fan and pump. In this paper, the design procedure of a symmetric dual three-phase interior permanent magnet synchronous motor (DTP0-IPMSM) for a battery electric vehicle is proposed. The dual-three phase motor has better reliability and eliminates the DC-DC boost converter used together with 3-phase configuration. A commercial battery electric vehicle Mahindra e-Verito is considered as the target vehicle for the design. The design of the proposed 37kW DTP0-IPMSM is validated using FEMM software. The control of the proposed DTP0-IPMSM is experimentally verified on a low power 3kW DTP0-IPMSM lab prototype.
{"title":"Design Considerations for a Symmetric Dual Three-Phase IPMSM for Battery Electric Vehicles","authors":"Sandeep V. Nair, Veena P, Shivam Chakraborty, Kunal Layek, K. Hatua","doi":"10.1109/PESGRE52268.2022.9715871","DOIUrl":"https://doi.org/10.1109/PESGRE52268.2022.9715871","url":null,"abstract":"The motors for electric vehicles are designed to satisfy various performance requirements like gradability, acceleration time, top speed and driving range. The motor design for electric vehicles is different in some aspects compared to the design for typical applications like fan and pump. In this paper, the design procedure of a symmetric dual three-phase interior permanent magnet synchronous motor (DTP0-IPMSM) for a battery electric vehicle is proposed. The dual-three phase motor has better reliability and eliminates the DC-DC boost converter used together with 3-phase configuration. A commercial battery electric vehicle Mahindra e-Verito is considered as the target vehicle for the design. The design of the proposed 37kW DTP0-IPMSM is validated using FEMM software. The control of the proposed DTP0-IPMSM is experimentally verified on a low power 3kW DTP0-IPMSM lab prototype.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"40 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86987842","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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