Yuhua Du, Xiaonan Lu, Bo Chen, Jianzhe Liu, Xiongfei Wang, F. Blaabjerg
{"title":"Distributed Average Observation in Inverter Dominated Dynamic Microgrids","authors":"Yuhua Du, Xiaonan Lu, Bo Chen, Jianzhe Liu, Xiongfei Wang, F. Blaabjerg","doi":"10.1109/ECCE44975.2020.9235857","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235857","url":null,"abstract":"Consensus-based distributed average observation has been widely used in decentralized coordination among distributed generators (DGs) in inverter-based autonomous microgrids (MGs). However, its observation accuracy suffers from communication delays. Such observation errors are hard to detect and could deviate the system operation states (e.g., DG operating voltage) from their desired references. This work quantifies the relationship between communication delays and the steady-state observation errors of the delayed dynamic consensus algorithm. It is worth mentioning that system under study operates autonomously in the context of dynamic MGs. Compared to conventional MGs, dynamic MGs operate with reconfigurable cyber-physical networks. The observation errors are minimized by adopting the optimal system topology through cyber-physical network reconfiguration. Detailed control diagrams are designed to observe the average DG operating voltage in the physical networks, while measurements and control references are exchanged with communication delays through the cyber network. The proposed reconfiguration approach along with detailed controller designs are validated on a 12-bus test system in Simulink/MATLAB.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123661248","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}
Roberto Rosso, Xiongfei Wang, Marco Liserre, Xiaonan Lu, Soenke Engelken
{"title":"Grid-forming converters: an overview of control approaches and future trends","authors":"Roberto Rosso, Xiongfei Wang, Marco Liserre, Xiaonan Lu, Soenke Engelken","doi":"10.1109/ECCE44975.2020.9236211","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236211","url":null,"abstract":"In the last decade, the concept of grid-forming (GFM) converters has been introduced for microgrids and islanded power systems. Recently, the concept has been proposed for applications in wider and interconnected transmission networks, and several control structures have thus been developed, giving rise to discussions about the characteristics and the functionalities of such converters. In this paper, an overview of control schemes for GFM converters is provided. By identifying the main subsystems in respect to their functionalities, a generalized control structure is derived and different solutions for each of the main subsystems composing the controller are analyzed and compared. Subsequently, several selected open issues and challenges regarding GFM converters, i. e., angle stability, fault ride-through (FRT) capabilities, and transition between islanded to grid-connected modes are discussed. Perspectives on challenges and future trends are lastly shared.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701504","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}
{"title":"Multifrequency Vibration Suppression of Magnetic Bearing Systems Applied Variable Step-size Automatic Learning Control","authors":"Hongbo Sun, Dong Jiang, Jianfu Ding, Jichang Yang","doi":"10.1109/ECCE44975.2020.9235914","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235914","url":null,"abstract":"Active Magnetic Bearing (AMB) has been widely applied in occasions acquire high-speed rotating, high-precision machining, and so on. The AMB can provide active control force to offset centrifugal force and other disturbance to suppress vibration while rotating. This paper proposed a strategy to compensate vibration in AMB system based on Variable Step-size Automatic Learning Control (VALC). Firstly, a two degrees of freedom model of radial AMB is established. Phase error between of centrifugal force and synchronous vibration is analyzed. Then, principle and process of VALC is introduced. A generalized notch filter is applied to obtain synchronous and harmonic vibration. Next, simulations are carried out based on AMB control system applied VALC. The results of simulations show the feasibility of the compensating strategy. Experiments to reduce synchronous and harmonic vibration based on VALC are carried out on a test rig. Spectrums of vibration signals show that vibration is reduced by about 90%, which demonstrates the effectiveness of proposed strategy for vibration compensation.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768831","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}
{"title":"A Novel Multi-Physical Coupled Model of Press-Pack IGBT in Steady Conducting State Considering Fretting Wear","authors":"C. Zhan, Lingyu Zhu, Jiangang Dai, Ting Hou","doi":"10.1109/ECCE44975.2020.9235636","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235636","url":null,"abstract":"The finite element model of press-pack IGBT (PPI) in steady conducting state is significant for its reliability improvement research. The models in the previous literature are not able to realize the fully coupled relationship in the consideration of device aging status and the chip surface roughness. In this paper, a novel multi-physical filed coupled model of PPI considering fretting wear is proposed. This model realizes the coupled of the electrical, thermal and mechanical model through contact resistance. The influence of contact pressure is not necessary to be taken into consideration in the coupled model so that contact resistance only determinates by the surface roughness. Under the utilization of the empirical formula of the contact thermal and electrical resistance in the multi-physical filed coupled model, it is more correct to obtain the junction temperature and pressure distribution under various surface roughness. The observed cracks and the fretting wear phenomenon on the chip surface after power cycling test verify the correctness of the coupled model. The proposed model is meaningful in researching the reliability improvement of PPI.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287209","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}
{"title":"Loss Model and Output Impedance Analysis of a 48V-to-1V High Current Point-of-Load Converter","authors":"A. Fiore, Qingyun Huang, A. Huang","doi":"10.1109/ECCE44975.2020.9235796","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235796","url":null,"abstract":"Single-stage, high step-down DC-DC converters for high current point-of-load (POL) applications have become a prominent area of research in order to support new 48V bus architectures. Recently, several converter topologies including resonant-based, hybrid switched-capacitor, and other buck variants have been proposed as high efficiency solutions. However, regardless of topology, the dominant loss in low voltage high current POL converters is the conduction loss, which must be carefully analyzed and minimized. In this paper, a detailed loss breakdown and design methodology for high voltage conversion ratio and high current POL converters are explained. The half-bridge current doubler topology is used as a baseline for analysis and verified with an experimental prototype designed around a nominal operating point of 48V-to-1.2V/80A. Total effective DC output resistance (DCR), frequency dependent resistance (ACR), and the remaining switching losses are addressed as well as integration and layout challenges.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125402500","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}
{"title":"Distributed Averaging Optimization-based Technique for Microgrid Secondary Control","authors":"Fahad H. Alshammari, A. El-Refaie","doi":"10.1109/ECCE44975.2020.9235988","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235988","url":null,"abstract":"In this paper, we present a distributed averaging optimization-based controller for secondary control of islanded microgrid. In islanded mode, grid-forming units collaborate to maintain the voltage and frequency of the microgrid through droop control. However, traditional droop control suffers from poor reactive power sharing due to voltage drop in the lines. Therefore, secondary control interferes to improve power sharing in addition to restore the voltage and frequency errors produced by droop control. The proposed controller seeks minimum inconsistency of power sharing among units while keeping the frequency at its nominal value and the terminal voltage within allowable tolerance i.e. ±5% of its nominal value. The active and reactive power sharing are communicated through low frequency peer-to-peer communication channel and the average value is calculated locally. A convex optimization function is utilized to minimize the difference of power sharing among grid-forming units. The optimization function is implemented using CVX/CVXGEN and embedded in the control system in real-time on a discrete basis over a time horizon of one second. The controller is validated through simulation using MATLAB/SIMULINK. In addition, plug-and-play capability is tested for the proposed controller.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003920","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}
Muhammad F. Umar, Ahmad Khan, Mitchell Easley, Silvanus D’silva, Brevann Nun, M. Shadmand
{"title":"Resonance Suppression based on Predictive Control of Grid-following Inverters with LCL Filter in Weak Grid Condition","authors":"Muhammad F. Umar, Ahmad Khan, Mitchell Easley, Silvanus D’silva, Brevann Nun, M. Shadmand","doi":"10.1109/ECCE44975.2020.9235660","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235660","url":null,"abstract":"This paper presents an effective resonance suppression control when grid interactive inverter with LCL filter experience weak grid conditions. The resonance suppression mechanism is based on finite-set model predictive control (FS- MPC) with adaptive cost function to alter the controller objectives seamlessly. The large parasitic impedance and low short circuit ratio (SCR) of weak grid challenges the operation of grid- connected inverters. Specifically, the LCL filter resonance may get excited, resulting in collapse of the inverter operation. To address this issue, an effective active damping approach is implemented in the proposed control. In the proposed active damping scheme for resonance suppression, the feedback currents are switched based on the operating conditions of inverter. During the stiff grid conditions, grid current serves as feedback to the controller. While in the weak grid conditions, the inverter current is selected as feedback signal. The toggling action between these two feedback currents is determined by comparing moving RMS of grid current with threshold current as constraint in the cost function of the proposed MPC scheme. The threshold current for toggling action is based on the reference active and reactive power setpoints plus an acceptable band of variation. The theoretical analysis is verified by several case studies.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115096815","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}
A. Accetta, M. Cirrincione, F. D’Ippolito, M. Pucci, A. Sferlazza
{"title":"Active Disturbance Rejection Control of Synchronous Reluctance Motors","authors":"A. Accetta, M. Cirrincione, F. D’Ippolito, M. Pucci, A. Sferlazza","doi":"10.1109/ECCE44975.2020.9236050","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236050","url":null,"abstract":"This paper describes how the ADRC (Active Disturbance Rejection Control) strategy can be successfully applied to SynRM (Synchronous Reluctance Motor) drives. The ADRC is an adaptive robust extension of the input-output Feedback Linearization Control (FLC). Its main feature is that the nonlinear transformation of the state is computed on-line and not by using the model. As a consequence, any unmodelled dynamics or uncertainty of the parameters can be addressed. The control strategy has been verified successfully with experimental tests confirming the high dynamic response of the drive.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084026","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}
{"title":"Dual State - Parameter Estimation for Series Arc Fault Detection on a DC Microgrid","authors":"K. Gajula, Xiu Yao, L. Herrera","doi":"10.1109/ECCE44975.2020.9235753","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9235753","url":null,"abstract":"In this paper, a detection and localization technique based on dual State and Parameter Estimation (SE and PE respectively) for series dc arc faults is presented. Detection of series arc faults in dc microgrids is challenging due to its low fault current. By using the available set of sensor measurement data over a period of time, a Least Squares (LS) based SE algorithm estimates the dc microgrid’s bus voltages and injection currents. Kalman Filter (KF) is then used to estimate the line conductances in the network, which are used to detect and localize (with respect to the faulted line) the series arc fault. Simulation results are presented with different case studies to demonstrate the robustness of the algorithm to normal operating conditions and different number and placement of sensors. Finally, Control Hardware in the Loop (CHIL) results are shown.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116558567","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}
{"title":"Position Sensorless PMSM Drive for Solar PV-Battery Light Electric Vehicle with Regenerative Braking Capability","authors":"S. R, Bhim Singh","doi":"10.1109/ECCE44975.2020.9236086","DOIUrl":"https://doi.org/10.1109/ECCE44975.2020.9236086","url":null,"abstract":"Major impediments towards effectuating electric vehicles (EVs) on the road, are cost, range anxiety and the battery re-charge time. In this work, a PMSM (Permanent Magnet Synchronous Motor) driven solar PV-battery based three-wheeler EV with regenerative braking feature is designed and investigated to address these issues. In addition, a model reference adaptive control-based position sensorless operation is successfully incorporated into the drive to improve reliability and to reduce the cost. A detailed design and selection of the solar PV array and power converters for the system topology are introduced in this paper. The steady state and dynamic operation of the system configuration is studied in MATLAB/ Simulink and test results demonstrating the sensorless vector control are presented here. This simple topology improves the range, efficiency and longevity of a three-wheeler EVs.","PeriodicalId":433712,"journal":{"name":"2020 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122392684","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}