Pub Date : 2016-11-10DOI: 10.1109/PESGM.2016.7741486
Zheng Liu, W. Cao, Po-Hsu Huang, G. Tian, J. Kirtley
Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.
{"title":"Non-invasive winding fault detection for induction machines based on stray flux magnetic sensors","authors":"Zheng Liu, W. Cao, Po-Hsu Huang, G. Tian, J. Kirtley","doi":"10.1109/PESGM.2016.7741486","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741486","url":null,"abstract":"Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128905676","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 : 2016-09-01DOI: 10.1109/TPWRS.2015.2497330
Ariana S. Minot, Yue M. Lu, Na Li
We propose a fully distributed Gauss-Newton algorithm for state estimation of electric power systems. At each Gauss-Newton iteration, matrix-splitting techniques are utilized to carry out the matrix inversion needed for calculating the Gauss-Newton step in a distributed fashion. In order to reduce the communication burden as well as increase robustness of state estimation, the proposed distributed scheme relies only on local information and a limited amount of information from neighboring areas. The matrix-splitting scheme is designed to calculate the Gauss Newton step with exponential convergence speed. The effectiveness of the method is demonstrated in various numerical experiments.
{"title":"A distributed Gauss-Newton method for power system state estimation","authors":"Ariana S. Minot, Yue M. Lu, Na Li","doi":"10.1109/TPWRS.2015.2497330","DOIUrl":"https://doi.org/10.1109/TPWRS.2015.2497330","url":null,"abstract":"We propose a fully distributed Gauss-Newton algorithm for state estimation of electric power systems. At each Gauss-Newton iteration, matrix-splitting techniques are utilized to carry out the matrix inversion needed for calculating the Gauss-Newton step in a distributed fashion. In order to reduce the communication burden as well as increase robustness of state estimation, the proposed distributed scheme relies only on local information and a limited amount of information from neighboring areas. The matrix-splitting scheme is designed to calculate the Gauss Newton step with exponential convergence speed. The effectiveness of the method is demonstrated in various numerical experiments.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132939234","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 : 2016-09-01DOI: 10.1109/TPWRS.2015.2494627
C. Long, L. Ochoa
Due to the increasing adoption of domestic photovoltaic (PV) systems, the use of technologies such as on-load tap changer (OLTC)-fitted transformers, capacitor banks, and remote monitoring are being considered to mitigate voltage issues, particularly in European-style low voltage (LV) networks. Depending on the control strategy, however, the effects on customer voltages and control actions (e.g., tap changes or capacitor switching) can vary significantly. This work presents a framework to assess the performance of different OLTC-based control strategies in terms of voltage compliance with the standard BS EN50160 and the number of control actions. Three control strategies are proposed: constant set-point (CSC), time-based (TBC) and remote monitoring-based (RMC). A week-long Monte Carlo analysis is carried out considering a real UK LV network, three-phase power flows, different PV penetrations and seasonality. Results show that the TBC outperforms the CSC but at the expense of more tap changes. Due to the enhanced visibility, the RMC significantly increases the PV hosting capacity whilst limiting tap operations. Finally, when feeders have contrasting voltage issues, capacitor banks are found to provide additional flexibility and allow higher PV penetrations. These findings are expected to help the industry determining the benefits from OLTC-based solutions in future LV networks.
{"title":"Voltage control of PV-Rich LV networks: OLTC-fitted transformer and capacitor banks","authors":"C. Long, L. Ochoa","doi":"10.1109/TPWRS.2015.2494627","DOIUrl":"https://doi.org/10.1109/TPWRS.2015.2494627","url":null,"abstract":"Due to the increasing adoption of domestic photovoltaic (PV) systems, the use of technologies such as on-load tap changer (OLTC)-fitted transformers, capacitor banks, and remote monitoring are being considered to mitigate voltage issues, particularly in European-style low voltage (LV) networks. Depending on the control strategy, however, the effects on customer voltages and control actions (e.g., tap changes or capacitor switching) can vary significantly. This work presents a framework to assess the performance of different OLTC-based control strategies in terms of voltage compliance with the standard BS EN50160 and the number of control actions. Three control strategies are proposed: constant set-point (CSC), time-based (TBC) and remote monitoring-based (RMC). A week-long Monte Carlo analysis is carried out considering a real UK LV network, three-phase power flows, different PV penetrations and seasonality. Results show that the TBC outperforms the CSC but at the expense of more tap changes. Due to the enhanced visibility, the RMC significantly increases the PV hosting capacity whilst limiting tap operations. Finally, when feeders have contrasting voltage issues, capacitor banks are found to provide additional flexibility and allow higher PV penetrations. These findings are expected to help the industry determining the benefits from OLTC-based solutions in future LV networks.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128507201","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 : 2016-07-21DOI: 10.1109/PESGM.2016.7741887
A. C. Melhorn, Mingsong Li, Paula Carroll, D. Flynn
Due to increasing penetration of non-traditional power system resources; e.g. renewable generation, electric vehicles, demand response, etc. and computational power there has been an increased interest in research on unit commitment. It therefore may be important to take another look at how unit commitment models and algorithms are validated especially as improvements in solutions and algorithmic performance are desired to combat the added complexity of additional constraints. This paper explores an overview of the current state of unit commitment models and algorithms, and finds improvements for both comparing and validating models with benchmark test systems. Examples are provided discussing the importance for a standard benchmark test system(s) and why it is needed to compare and validate the real world performance of unit commitment models.
{"title":"Validating unit commitment models: A case for benchmark test systems","authors":"A. C. Melhorn, Mingsong Li, Paula Carroll, D. Flynn","doi":"10.1109/PESGM.2016.7741887","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741887","url":null,"abstract":"Due to increasing penetration of non-traditional power system resources; e.g. renewable generation, electric vehicles, demand response, etc. and computational power there has been an increased interest in research on unit commitment. It therefore may be important to take another look at how unit commitment models and algorithms are validated especially as improvements in solutions and algorithmic performance are desired to combat the added complexity of additional constraints. This paper explores an overview of the current state of unit commitment models and algorithms, and finds improvements for both comparing and validating models with benchmark test systems. Examples are provided discussing the importance for a standard benchmark test system(s) and why it is needed to compare and validate the real world performance of unit commitment models.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518813","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741134
K. Kawabe, Kazuyuki Tanaka
In this study, we investigate the impact of the dynamic behavior of photovoltaic (PV) power generation systems on short-term voltage stability of the transmission system. First, the impact of the fault ride-through capability of a PV model is studied by setting several recovery speeds of the active current output when the operation of the PV system is interrupted because of a voltage sag. The results are analyzed by using transient P-V curves and a stability boundary, which has been proposed in our previous research. Further, we show that the installation of PVs severely impairs the short-term voltage stability if the PVs shut off after a voltage sag, and its recovery speed is low. Next, two countermeasures to control short-term voltage instability phenomena are tested. One is the operation of the PV system at a leading power factor in the normal state, and the other is the dynamic reactive power control by the inverters of the PV system after a voltage sag. Numerical examples are carried out for a one-load infinite-bus power system and a five-machine five-load power system. The results show that these countermeasures can play a substantial role in preventing the voltage instability phenomena caused when a PV system is suddenly interrupted because of a fault.
{"title":"Impact of dynamic behavior of photovoltaic power generation systems on short-term voltage stability","authors":"K. Kawabe, Kazuyuki Tanaka","doi":"10.1109/PESGM.2016.7741134","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741134","url":null,"abstract":"In this study, we investigate the impact of the dynamic behavior of photovoltaic (PV) power generation systems on short-term voltage stability of the transmission system. First, the impact of the fault ride-through capability of a PV model is studied by setting several recovery speeds of the active current output when the operation of the PV system is interrupted because of a voltage sag. The results are analyzed by using transient P-V curves and a stability boundary, which has been proposed in our previous research. Further, we show that the installation of PVs severely impairs the short-term voltage stability if the PVs shut off after a voltage sag, and its recovery speed is low. Next, two countermeasures to control short-term voltage instability phenomena are tested. One is the operation of the PV system at a leading power factor in the normal state, and the other is the dynamic reactive power control by the inverters of the PV system after a voltage sag. Numerical examples are carried out for a one-load infinite-bus power system and a five-machine five-load power system. The results show that these countermeasures can play a substantial role in preventing the voltage instability phenomena caused when a PV system is suddenly interrupted because of a fault.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117130621","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741967
Navid Amiri, S. Ebrahimi, Yingwei Huang, J. Jatskevich, H. Dommel
Wind power generation with permanent magnet synchronous machines (PMs) has been made possible using power electronic converters. With the increasing use of such systems, the numerically efficient modeling and simulation are of critical importance. As an alternative to traditional qd models, the coupled-circuit phase-domain (CCPD) and voltage-behind-reactance (VBR) models have been recently proposed to achieve advantageous numerical properties. Constant parameter VBR (CPVBR) models has also been presented to avoid having the variable inductance matrix that is present in CCPD and VBR models in case of salient rotor machines. This paper improves the CPVBR model using the auxiliary rotor winding to achieve better accuracy when the machine in connected to power electronic converters. The new model is shown to possess very good accuracy and advantages over alternative existing models.
{"title":"Improved constant parameter VBR model of permanent magnet synchronous machine using resonant auxiliary rotor winding","authors":"Navid Amiri, S. Ebrahimi, Yingwei Huang, J. Jatskevich, H. Dommel","doi":"10.1109/PESGM.2016.7741967","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741967","url":null,"abstract":"Wind power generation with permanent magnet synchronous machines (PMs) has been made possible using power electronic converters. With the increasing use of such systems, the numerically efficient modeling and simulation are of critical importance. As an alternative to traditional qd models, the coupled-circuit phase-domain (CCPD) and voltage-behind-reactance (VBR) models have been recently proposed to achieve advantageous numerical properties. Constant parameter VBR (CPVBR) models has also been presented to avoid having the variable inductance matrix that is present in CCPD and VBR models in case of salient rotor machines. This paper improves the CPVBR model using the auxiliary rotor winding to achieve better accuracy when the machine in connected to power electronic converters. The new model is shown to possess very good accuracy and advantages over alternative existing models.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247564","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741352
Wei Wei, Da Huo, S. Le Blond
This paper quantifies the benefit of the borehole array summer active recharge in the context of a small community heating system. The system uses a low carbon energy chain - specifically photovoltaic panels to supply electricity, a borehole array for heat storage, an air source heat pump for summer active recharge and a ground source heat pump for heating supply in the winter. By comparing two different charging strategies and non-charged base scenario, the benefit can be quantified in reduced electricity consumption and carbon emission reduction. This research gives an indication of the system efficiency and consequent reduction of electricity consumption and carbon emissions for a small community. The results provide a starting point for a feasibility study into inter-seasonal storage of community-level energy hubs.
{"title":"Borehole active recharge benefit quantification on a community level low carbon heating system","authors":"Wei Wei, Da Huo, S. Le Blond","doi":"10.1109/PESGM.2016.7741352","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741352","url":null,"abstract":"This paper quantifies the benefit of the borehole array summer active recharge in the context of a small community heating system. The system uses a low carbon energy chain - specifically photovoltaic panels to supply electricity, a borehole array for heat storage, an air source heat pump for summer active recharge and a ground source heat pump for heating supply in the winter. By comparing two different charging strategies and non-charged base scenario, the benefit can be quantified in reduced electricity consumption and carbon emission reduction. This research gives an indication of the system efficiency and consequent reduction of electricity consumption and carbon emissions for a small community. The results provide a starting point for a feasibility study into inter-seasonal storage of community-level energy hubs.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"171 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120940949","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741982
S. Rajesvaran, S. Filizadeh
The paper develops a mathematical model for a modular multilevel converter (MMC) using extended-frequency dynamic phasors. The developed model is capable of capturing both the low- and high-frequency dynamic behavior of the converter depending on the requirements of the study to be performed. The paper shows the mathematical development of the model, its validation against a fully detailed electromagnetic transient (EMT) model in PSCAD/EMTDC, and its computational advantages over an EMT model.
{"title":"Modeling modular multilevel converters using extended-frequency dynamic phasors","authors":"S. Rajesvaran, S. Filizadeh","doi":"10.1109/PESGM.2016.7741982","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741982","url":null,"abstract":"The paper develops a mathematical model for a modular multilevel converter (MMC) using extended-frequency dynamic phasors. The developed model is capable of capturing both the low- and high-frequency dynamic behavior of the converter depending on the requirements of the study to be performed. The paper shows the mathematical development of the model, its validation against a fully detailed electromagnetic transient (EMT) model in PSCAD/EMTDC, and its computational advantages over an EMT model.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036822","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741274
Yingwei Huang, M. Chapariha, S. Ebrahimi, Navid Amiri, J. Jatskevich
This paper focuses on the modeling of integrated ac-dc backup and generation power systems, which has received increasing attention due to the emergence of microgrids and distributed generations. The conventional shifted-frequency analysis (SFA) type dynamic phasors (DPs) assume a bandpass spectrum of power system signals, and thus are only suitable to model system components wherein the 60Hz fundamental frequency is dominant. To account for high-order harmonics of interest in ac-dc systems, this paper considers another type of DPs based on the generalized averaging method (GAM), and proposes a possible interface between the SFA- and GAM-type DP models. Computer studies demonstrate that the proposed DP interface allows for accurate simulations of both fundamental frequency components and high-order harmonics in integrated ac-dc power systems, while providing significant numerical advantages over the conventional time-domain detailed models.
{"title":"Interfacing SFA- and GAM-type dynamic phasors for modeling of integrated AC-DC power systems","authors":"Yingwei Huang, M. Chapariha, S. Ebrahimi, Navid Amiri, J. Jatskevich","doi":"10.1109/PESGM.2016.7741274","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741274","url":null,"abstract":"This paper focuses on the modeling of integrated ac-dc backup and generation power systems, which has received increasing attention due to the emergence of microgrids and distributed generations. The conventional shifted-frequency analysis (SFA) type dynamic phasors (DPs) assume a bandpass spectrum of power system signals, and thus are only suitable to model system components wherein the 60Hz fundamental frequency is dominant. To account for high-order harmonics of interest in ac-dc systems, this paper considers another type of DPs based on the generalized averaging method (GAM), and proposes a possible interface between the SFA- and GAM-type DP models. Computer studies demonstrate that the proposed DP interface allows for accurate simulations of both fundamental frequency components and high-order harmonics in integrated ac-dc power systems, while providing significant numerical advantages over the conventional time-domain detailed models.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080311","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741929
Shengyuan Chen, A. Saber, T. Khandelwal
Battery applications are increasing day by day from a single cell to MWh range in electric vehicles, electric traction, PV systems, grid support, etc. Considering energy density and price, correctly apply, size and analyze batteries for these systems remains a major challenge and requires sufficient battery characteristics. Most battery manufacturers provide limited sets of battery charging & discharging characteristic data, which are not adequate for battery simulation in a system that different types of loads are connected, or different charging scenarios are applied. Therefore, accurate & comprehensive battery modeling is needed. A non-linear open circuit voltage (Voc) model is derived with respect to state of charge (SOC) from battery charge-discharge characteristic curves. For hysteresis, two sets of non-linear Voc data are maintained for charging and discharging. This model is general for major types of batteries and results are acceptable as simulation error is minimal.
{"title":"General battery modeling and simulation using non-linear open circuit voltage in power system analysis","authors":"Shengyuan Chen, A. Saber, T. Khandelwal","doi":"10.1109/PESGM.2016.7741929","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741929","url":null,"abstract":"Battery applications are increasing day by day from a single cell to MWh range in electric vehicles, electric traction, PV systems, grid support, etc. Considering energy density and price, correctly apply, size and analyze batteries for these systems remains a major challenge and requires sufficient battery characteristics. Most battery manufacturers provide limited sets of battery charging & discharging characteristic data, which are not adequate for battery simulation in a system that different types of loads are connected, or different charging scenarios are applied. Therefore, accurate & comprehensive battery modeling is needed. A non-linear open circuit voltage (Voc) model is derived with respect to state of charge (SOC) from battery charge-discharge characteristic curves. For hysteresis, two sets of non-linear Voc data are maintained for charging and discharging. This model is general for major types of batteries and results are acceptable as simulation error is minimal.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176263","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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