Pub Date : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167560
Dabeeruddin Syed, S. Refaat, H. Abu-Rub, O. Bouhali
This paper evaluates the performance of different feature extraction or dimensionality reduction techniques for the applications of short-term power forecasting using smart meters' data. The number and data type of input features are crucial to the performance of power forecasting models. The performance of the machine learning models decreases with the increase in the number of input features. That is, the machine learning models tend to overfit, and the forecasting accuracy is reduced. The performance of the feature extraction or dimensionality reduction techniques has been evaluated in the context of the forecasting applications with models involving Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Linear Regression (LR). The application is day-ahead forecasting on a real and open dataset of energy utilization by households in England. The obtained results depict the importance of dimensionality reduction techniques for higher accuracy and faster training times. While linear Principal Component Analysis (PCA) is a preferred dimensionality reduction technique for faster training times, kernel PCA, Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA) and Uniform Manifold Approximation and Projection (UMAP) yield better accuracies.
{"title":"Short-term Power Forecasting Model Based on Dimensionality Reduction and Deep Learning Techniques for Smart Grid","authors":"Dabeeruddin Syed, S. Refaat, H. Abu-Rub, O. Bouhali","doi":"10.1109/KPEC47870.2020.9167560","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167560","url":null,"abstract":"This paper evaluates the performance of different feature extraction or dimensionality reduction techniques for the applications of short-term power forecasting using smart meters' data. The number and data type of input features are crucial to the performance of power forecasting models. The performance of the machine learning models decreases with the increase in the number of input features. That is, the machine learning models tend to overfit, and the forecasting accuracy is reduced. The performance of the feature extraction or dimensionality reduction techniques has been evaluated in the context of the forecasting applications with models involving Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), and Linear Regression (LR). The application is day-ahead forecasting on a real and open dataset of energy utilization by households in England. The obtained results depict the importance of dimensionality reduction techniques for higher accuracy and faster training times. While linear Principal Component Analysis (PCA) is a preferred dimensionality reduction technique for faster training times, kernel PCA, Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA) and Uniform Manifold Approximation and Projection (UMAP) yield better accuracies.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125020400","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167599
S. Harshbarger, Mohsen Hosseinzadehtaher, Balaji Natarajan, Eugene Y. Vasserman, M. Shadmand, G. Amariucai
Stealthy attacks on control systems have the potential to cause serious harm, as they are not readily detectable by any intrusion detection system. However, it is often the case that neither the controller nor the attacker can gather perfect information about the system model. We show that while a small mismatch between model and reality can easily be managed by a robust controller, an attacker's imperfect knowledge of the system can thwart the stealth of the attack. This opens the door to a whole new class of defense mechanisms, which focus on maximizing the attacker's uncertainty about the system while maintaining the controller's uncertainty within the bounds of its robustness. We demonstrate our findings on the simple quadruple tank control process and on a realistic power grid model, showing that the time to detect a stealthy attack depends on the attacker's level of uncertainty about the model.
{"title":"(A Little) Ignorance is Bliss: The Effect of Imperfect Model Information on Stealthy Attacks in Power Grids","authors":"S. Harshbarger, Mohsen Hosseinzadehtaher, Balaji Natarajan, Eugene Y. Vasserman, M. Shadmand, G. Amariucai","doi":"10.1109/KPEC47870.2020.9167599","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167599","url":null,"abstract":"Stealthy attacks on control systems have the potential to cause serious harm, as they are not readily detectable by any intrusion detection system. However, it is often the case that neither the controller nor the attacker can gather perfect information about the system model. We show that while a small mismatch between model and reality can easily be managed by a robust controller, an attacker's imperfect knowledge of the system can thwart the stealth of the attack. This opens the door to a whole new class of defense mechanisms, which focus on maximizing the attacker's uncertainty about the system while maintaining the controller's uncertainty within the bounds of its robustness. We demonstrate our findings on the simple quadruple tank control process and on a realistic power grid model, showing that the time to detect a stealthy attack depends on the attacker's level of uncertainty about the model.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121900643","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167668
M. Rahmani-Andebili, M. Bonamente, James A. Miller
The paper realistically studies the uncertainty of state of charge (SOC) of plug-in electric vehicles (PEV) by investigation of real driving routes of 100 vehicles in San Francisco, CA, US. In this study, Monte Carlo Markov Chain (MCMC) is applied to determine the hourly probability distribution function of SOC of PEVs in the typical day. The primary dataset used in this study includes the real longitude and latitude of driving routes of 100 vehicles in San Francisco, recorded in every four-minute period of the day. The four-minute position dataset is converted to the four-minute distance travelled by each PEV, and then the four-minute SOC of PEVs is determined considering the technical specifications of each PEV. Next, the hourly SOC of PEVs are calculated and entered to MCMC to determine the hourly probability distribution function of SOC of PEVs. In this study, the effects of MCMC parameters on its outputs are also investigated and analyzed.
本文通过对美国旧金山市100辆插电式电动汽车的真实行驶路线的调查，对插电式电动汽车的荷电状态(SOC)的不确定性进行了实证研究。本研究采用蒙特卡罗马尔可夫链(Monte Carlo Markov Chain, MCMC)确定典型日pev SOC的小时概率分布函数。本研究中使用的主要数据集包括旧金山100辆汽车行驶路线的真实经纬度，每四分钟记录一次。将4分钟位置数据集转换为每辆PEV行驶的4分钟距离，然后根据每辆PEV的技术规格确定PEV的4分钟SOC。然后，计算pev每小时的荷电状态，并输入到MCMC中，确定pev每小时荷电状态的概率分布函数。在本研究中，还研究和分析了MCMC参数对输出的影响。
{"title":"Mobility Analysis of Plug-in Electric Vehicles in San Francisco Applying Monte Carlo Markov Chain","authors":"M. Rahmani-Andebili, M. Bonamente, James A. Miller","doi":"10.1109/KPEC47870.2020.9167668","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167668","url":null,"abstract":"The paper realistically studies the uncertainty of state of charge (SOC) of plug-in electric vehicles (PEV) by investigation of real driving routes of 100 vehicles in San Francisco, CA, US. In this study, Monte Carlo Markov Chain (MCMC) is applied to determine the hourly probability distribution function of SOC of PEVs in the typical day. The primary dataset used in this study includes the real longitude and latitude of driving routes of 100 vehicles in San Francisco, recorded in every four-minute period of the day. The four-minute position dataset is converted to the four-minute distance travelled by each PEV, and then the four-minute SOC of PEVs is determined considering the technical specifications of each PEV. Next, the hourly SOC of PEVs are calculated and entered to MCMC to determine the hourly probability distribution function of SOC of PEVs. In this study, the effects of MCMC parameters on its outputs are also investigated and analyzed.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129025017","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167553
Benjamin Reimer, T. Khalili, A. Bidram, M. Reno, Ronald Matthews
This paper proposes an optimal relay placement approach for microgrids. The proposed approach considers both grid-connected and islanded microgrid modes. The algorithm separately calculates the System Average Interruption Frequency Index (SAIFI) of a microgrid in each operating mode. Then, two weighting factors corresponding to different operating modes are used to calculate the overall SAIFI of the microgrid. The objective is to find the optimal relay locations such that the microgrid overall SAIFI is minimized. The power electronics interfaces associated with distributed energy resources may be classified as grid following or grid forming. As opposed to grid-following distributed energy resources (DERs) such as typical solar inverters, grid-forming inverters are able to control the microgrid voltage and frequency at the point of their interconnection. Therefore, these DERs can facilitate the formation of sub-islands in the microgrid when the protective relays isolate a portion of the microgrid. If there is at least one grid-forming DER available in a sub-island, that sub-island can continue supplying its local load. The exchange market algorithm (EMA) is used for optimizing functions. The effectiveness of the proposed optimal relay placement approach is verified using an 18-bus microgrid and IEEE 123-bus test system.
{"title":"Optimal Protection Relay Placement in Microgrids","authors":"Benjamin Reimer, T. Khalili, A. Bidram, M. Reno, Ronald Matthews","doi":"10.1109/KPEC47870.2020.9167553","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167553","url":null,"abstract":"This paper proposes an optimal relay placement approach for microgrids. The proposed approach considers both grid-connected and islanded microgrid modes. The algorithm separately calculates the System Average Interruption Frequency Index (SAIFI) of a microgrid in each operating mode. Then, two weighting factors corresponding to different operating modes are used to calculate the overall SAIFI of the microgrid. The objective is to find the optimal relay locations such that the microgrid overall SAIFI is minimized. The power electronics interfaces associated with distributed energy resources may be classified as grid following or grid forming. As opposed to grid-following distributed energy resources (DERs) such as typical solar inverters, grid-forming inverters are able to control the microgrid voltage and frequency at the point of their interconnection. Therefore, these DERs can facilitate the formation of sub-islands in the microgrid when the protective relays isolate a portion of the microgrid. If there is at least one grid-forming DER available in a sub-island, that sub-island can continue supplying its local load. The exchange market algorithm (EMA) is used for optimizing functions. The effectiveness of the proposed optimal relay placement approach is verified using an 18-bus microgrid and IEEE 123-bus test system.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124203046","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167653
Wei Gao
With more and more renewable energy resources integrated into the power grid, the system is losing inertia because power electronics-based generators do not provide natural inertia. The low inertia will cause the microgrid to be more sensitive to disturbance and thus a small load change may result in a severe deviation in frequency. Based on the basic VSG algorithm, which is to mimic the characteristic of the traditional synchronous generator, the frequency can be controlled to a stable value faster and more smoothly when there is a fluctuation in the PV power generation and/or load change. However, characteristic of the VSG depends on the system structure in consideration of multiple generations, such as Synchronous Generator (SG), PV and Battery Energy Storage System (BESS), which greatly increases the complexity of applying VSG in practical power system. Furthermore, with BESS-VSG, Maximum Power Point (MPP) operation of PV is guaranteed. In addition, an adaptive VSG method is developed for a microgrid system, and the corresponding simulation in Matlab/Simulink shows the effectiveness of the adaptive VSG method.
{"title":"Microgrid Control Strategy Based on Battery Energy Storage System-Virtual Synchronous Generator (BESS-VSG)","authors":"Wei Gao","doi":"10.1109/KPEC47870.2020.9167653","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167653","url":null,"abstract":"With more and more renewable energy resources integrated into the power grid, the system is losing inertia because power electronics-based generators do not provide natural inertia. The low inertia will cause the microgrid to be more sensitive to disturbance and thus a small load change may result in a severe deviation in frequency. Based on the basic VSG algorithm, which is to mimic the characteristic of the traditional synchronous generator, the frequency can be controlled to a stable value faster and more smoothly when there is a fluctuation in the PV power generation and/or load change. However, characteristic of the VSG depends on the system structure in consideration of multiple generations, such as Synchronous Generator (SG), PV and Battery Energy Storage System (BESS), which greatly increases the complexity of applying VSG in practical power system. Furthermore, with BESS-VSG, Maximum Power Point (MPP) operation of PV is guaranteed. In addition, an adaptive VSG method is developed for a microgrid system, and the corresponding simulation in Matlab/Simulink shows the effectiveness of the adaptive VSG method.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134025171","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167522
M. A. Hernández, Damian Sal y Rosas
The design of a Single-Stage Three Port AC-DC converter is analyzed in this article. The structure analyzed is the Triple Active Bridge (TAB) single phase AC-DC converter which can be used for charging of Plug in Hybrid Electric Vehicles or to control the power flow in a micro-grid composed by a renewable source, a battery pack and the single phase grid. The analysis of the converter is focused in the modulation and the high frequency (HF) transformer sizing. The three winding transformer allows safety and voltage matching between the three sources. The sources are connected to the HF transformer with three active bridges which are modulated with a fixed frequency. To compensate the time-variant AC grid voltage in the HF transformer, the grid voltage is modulated with a 50% duty ratio and, the renewable DC source and the battery are modulated with a low frequency sinusoidal time-variant duty ratio. The turn ratio relationship of the HF transformer is chosen to assure inner mode modulation. Bidirectional power flow is controlled by phase shift modulation. This modulation strategy allows soft switching in all active bridges leading to higher efficiency of the converter. The simulation of a 1-KW topology confirms the advantages of the proposed methodology.
{"title":"Single-Stage Bidirectional Triple Active Bridge AC-DC converter for Single Phase Grid Applications","authors":"M. A. Hernández, Damian Sal y Rosas","doi":"10.1109/KPEC47870.2020.9167522","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167522","url":null,"abstract":"The design of a Single-Stage Three Port AC-DC converter is analyzed in this article. The structure analyzed is the Triple Active Bridge (TAB) single phase AC-DC converter which can be used for charging of Plug in Hybrid Electric Vehicles or to control the power flow in a micro-grid composed by a renewable source, a battery pack and the single phase grid. The analysis of the converter is focused in the modulation and the high frequency (HF) transformer sizing. The three winding transformer allows safety and voltage matching between the three sources. The sources are connected to the HF transformer with three active bridges which are modulated with a fixed frequency. To compensate the time-variant AC grid voltage in the HF transformer, the grid voltage is modulated with a 50% duty ratio and, the renewable DC source and the battery are modulated with a low frequency sinusoidal time-variant duty ratio. The turn ratio relationship of the HF transformer is chosen to assure inner mode modulation. Bidirectional power flow is controlled by phase shift modulation. This modulation strategy allows soft switching in all active bridges leading to higher efficiency of the converter. The simulation of a 1-KW topology confirms the advantages of the proposed methodology.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"36 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132867980","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167652
Stephen Hopkins, E. Kalaimannan, C. John
Cyber-physical systems (CPS) maintain operation, reliability, and safety performance using state estimation and control methods. Internet connectivity and Internet of Things (IoT) devices are integrated with CPS, such as in smart grids. This integration of Operational Technology (OT) and Information Technology (IT) brings with it challenges for state estimation and exposure to cyber-threats. This research establishes a state estimation baseline, details the integration of IT, evaluates the vulnerabilities, and develops an approach for detecting and responding to cyber-attack data injections. Where other approaches focus on integration of IT cyber-controls, this research focuses on development of classification tools using data currently available in state estimation methods to quantitatively determine the presence of cyber-attack data. The tools may increase computational requirements but provide methods which can be integrated with existing state estimation methods and provide for future research in state estimation based cyber-attack incident response. A robust cyber-resilient CPS includes the ability to detect and classify a cyber-attack, determine the true system state, and respond to the cyber-attack. The purpose of this paper is to establish a means for a cyber aware state estimator given the existence of sub-erroneous outlier detection, cyber-attack data weighting, cyber-attack data classification, and state estimation cyber detection.
{"title":"Cyber Resilience using State Estimation Updates Based on Cyber Attack Matrix Classification","authors":"Stephen Hopkins, E. Kalaimannan, C. John","doi":"10.1109/KPEC47870.2020.9167652","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167652","url":null,"abstract":"Cyber-physical systems (CPS) maintain operation, reliability, and safety performance using state estimation and control methods. Internet connectivity and Internet of Things (IoT) devices are integrated with CPS, such as in smart grids. This integration of Operational Technology (OT) and Information Technology (IT) brings with it challenges for state estimation and exposure to cyber-threats. This research establishes a state estimation baseline, details the integration of IT, evaluates the vulnerabilities, and develops an approach for detecting and responding to cyber-attack data injections. Where other approaches focus on integration of IT cyber-controls, this research focuses on development of classification tools using data currently available in state estimation methods to quantitatively determine the presence of cyber-attack data. The tools may increase computational requirements but provide methods which can be integrated with existing state estimation methods and provide for future research in state estimation based cyber-attack incident response. A robust cyber-resilient CPS includes the ability to detect and classify a cyber-attack, determine the true system state, and respond to the cyber-attack. The purpose of this paper is to establish a means for a cyber aware state estimator given the existence of sub-erroneous outlier detection, cyber-attack data weighting, cyber-attack data classification, and state estimation cyber detection.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115536216","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167586
Mohamad Saleh Sanjari Nia, Mohammad R. Altimania, P. Shamsi, M. Ferdowsi
Electric field and voltage distribution analysis play an important role in designing optimal DC-DC converters. Parasitic parameters, especially interwinding and intra-winding capacitances in high frequency (HF) transformers, hugely influence the performance and efficiency of isolated converters. In this paper, electric field, voltage distribution, and insulation coordination are analyzed for a high frequency transformer with coaxial windings. Also, parasitic capacitances such as interwinding and intra-winding capacitances are calculated. Coaxial windings show a robust magnetic coupling and low leakage inductance, which make them suitable for many applications that need low eddy current and copper loss. Hence, a comprehensive analysis on the electric field and capacitive behavior of the high frequency transformers with coaxial windings is very helpful for industrializing them. In this paper, a 2kW HF transformer with voltage level of 400V/400V at frequency of 5 kHz is designed and analyzed for isolated DC-DC converter applications. For analyzing the field distributions and finding the parameters, numerical method is used. Also, the mathematical procedure of finding parameters with finite element method (FEM) is explained. The design method and the analysis procedure used in this paper can later be used for designing optimal isolated DC-DC converters or integrating parasitic parameters in resonant tank circuits for achieving zero voltage switching (ZVS) and zero current switching (ZCS). Especially for converters including silicon carbide (SiC) and gallium nitride (GaN) switches.
{"title":"Electric Field and Parasitic Capacitance Analysis for HF Transformers with Coaxial Winding Arrangements","authors":"Mohamad Saleh Sanjari Nia, Mohammad R. Altimania, P. Shamsi, M. Ferdowsi","doi":"10.1109/KPEC47870.2020.9167586","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167586","url":null,"abstract":"Electric field and voltage distribution analysis play an important role in designing optimal DC-DC converters. Parasitic parameters, especially interwinding and intra-winding capacitances in high frequency (HF) transformers, hugely influence the performance and efficiency of isolated converters. In this paper, electric field, voltage distribution, and insulation coordination are analyzed for a high frequency transformer with coaxial windings. Also, parasitic capacitances such as interwinding and intra-winding capacitances are calculated. Coaxial windings show a robust magnetic coupling and low leakage inductance, which make them suitable for many applications that need low eddy current and copper loss. Hence, a comprehensive analysis on the electric field and capacitive behavior of the high frequency transformers with coaxial windings is very helpful for industrializing them. In this paper, a 2kW HF transformer with voltage level of 400V/400V at frequency of 5 kHz is designed and analyzed for isolated DC-DC converter applications. For analyzing the field distributions and finding the parameters, numerical method is used. Also, the mathematical procedure of finding parameters with finite element method (FEM) is explained. The design method and the analysis procedure used in this paper can later be used for designing optimal isolated DC-DC converters or integrating parasitic parameters in resonant tank circuits for achieving zero voltage switching (ZVS) and zero current switching (ZCS). Especially for converters including silicon carbide (SiC) and gallium nitride (GaN) switches.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128785190","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167638
Milad Abbasi, M. Mardaneh, Mohsen S. Pilehvar
This paper proposes two new circuit topologies for active-switched inductor boost qZSI (ASLB-qZSI). Higher boost factor capability by utilizing same number of components, less ripple of input current in comparison with ASLB-qZSI can be achieved in both proposed inverters. The proposed inverters have continuous input current with negligible ripple and common ground between load side and DC source. The prototypes of the proposed inverters were examined to validate the features of proposed inverters.
{"title":"High Step-Up Continuous Current Active-Switched Boost Quasi-Z-Source Inverters","authors":"Milad Abbasi, M. Mardaneh, Mohsen S. Pilehvar","doi":"10.1109/KPEC47870.2020.9167638","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167638","url":null,"abstract":"This paper proposes two new circuit topologies for active-switched inductor boost qZSI (ASLB-qZSI). Higher boost factor capability by utilizing same number of components, less ripple of input current in comparison with ASLB-qZSI can be achieved in both proposed inverters. The proposed inverters have continuous input current with negligible ripple and common ground between load side and DC source. The prototypes of the proposed inverters were examined to validate the features of proposed inverters.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126198255","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 : 2020-07-01DOI: 10.1109/KPEC47870.2020.9167659
Alamgir Ahmad Khattak, A. Khan, Muhammad Safdar, A. Basit, N. Zaffar
An accurate and dynamic battery model that could be simulated in a circuit designing environment is critical for the designing of energy efficient systems. A variety of battery models have been proposed but they leave room for improvement as they do not account for all the nonlinear dynamic battery characteristics in model with sufficient accuracy. For energy aware circuit designing, we need an equivalent circuit model that can be co-simulated in circuit simulation environment and is capable of predicting the dynamic battery characteristics with higher accuracy. The proposed model is a hybrid model composed of diffusion model and combined electric circuit-based model, which accounts for nonlinearities of rate capacity effect, recovery effect, capacity fading, storage runtime and open circuit voltage, current- and temperature- dependency to transient response. This new hybrid model is simulated in MATLAB-Simulink and the results are validated through experimental observations for Lithium ion, Lead Acid and Nickel Metal Hydride batteries.
{"title":"A Hybrid Electric Circuit Battery Model Capturing Dynamic Battery Characteristics","authors":"Alamgir Ahmad Khattak, A. Khan, Muhammad Safdar, A. Basit, N. Zaffar","doi":"10.1109/KPEC47870.2020.9167659","DOIUrl":"https://doi.org/10.1109/KPEC47870.2020.9167659","url":null,"abstract":"An accurate and dynamic battery model that could be simulated in a circuit designing environment is critical for the designing of energy efficient systems. A variety of battery models have been proposed but they leave room for improvement as they do not account for all the nonlinear dynamic battery characteristics in model with sufficient accuracy. For energy aware circuit designing, we need an equivalent circuit model that can be co-simulated in circuit simulation environment and is capable of predicting the dynamic battery characteristics with higher accuracy. The proposed model is a hybrid model composed of diffusion model and combined electric circuit-based model, which accounts for nonlinearities of rate capacity effect, recovery effect, capacity fading, storage runtime and open circuit voltage, current- and temperature- dependency to transient response. This new hybrid model is simulated in MATLAB-Simulink and the results are validated through experimental observations for Lithium ion, Lead Acid and Nickel Metal Hydride batteries.","PeriodicalId":308212,"journal":{"name":"2020 IEEE Kansas Power and Energy Conference (KPEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133760051","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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