2019 IEEE Industry Applications Society Annual Meeting最新文献

{"title":"Nonlinear Adaptive Direct Power Controllers of DFIG-Based Wind Farms for Enhancing FRT Capabilities","authors":"T. K. Roy, Md. Apel Mahmud, S. Islam, K. Muttaqi, A. Oo","doi":"10.1109/IAS.2019.8912407","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912407","url":null,"abstract":"In this paper, a nonlinear adaptive direct power control scheme is proposed for doubly fed induction generator (DFIG)-based wind farms to enhance fault ride through (FRT) capabilities. Both rotor- and grid-side converters (i.e., RSCs and GSCs) are controlled through the proposed direct power control scheme where RSCs are controlled to ensure the desired DC-link voltage and GSCs are controlled for injecting desired reactive power during grid faults. Hence, the proposed adaptive direct power controller (ADPC) appropriately injects the reactive power for ensuring FRT operations. The proposed scheme is employed by transforming the dynamics of RSCs, GSCs, and DC-link voltage as active and reactive power. The parameters of filters in both RSCs and GSCs along the DC-link capacitor are considered as completely unknown while adaptation laws are used to estimate these parameters. The parameter adaptation laws and switching control signals for ADPCs are determined in such a way that the overall stability of wind farms is preserved. The stability of the DFIG-based wind farm with the proposed ADPC is analyzed through the Lyapunov stability theory and simulations are performed on a single 9 MW wind farm to validate its effectiveness. Simulation results demonstrate that the proposed scheme ensures the FRT operation of wind farms in a better way as compared to the direct power control-based sliding mode controller (DPC-SMC).","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134259509","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":"Fast Co-Simulation Methodology to Assess Electric Vehicle Penetration in Distribution Networks","authors":"Cristian David Dimas Caro, G. R. López, A. Luna","doi":"10.1109/IAS.2019.8912316","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912316","url":null,"abstract":"The study of the impact generated by a massive connection of electric vehicles in distribution networks requires modeling their connection behavior in different scenarios and considering their stochastic characteristics in annual periods and with short simulation steps. This implies a combinatorial explosion of case studies with a high computational cost. This article presents a methodology aimed at reducing the simulation time required to determine the hosting capacity (HC) of electric vehicles through the co-simulation of hardware and software. Monte Carlo methods and quasi-static time series (QSTS) simulation concepts are used to model the connection features of electric vehicles. The simulation and implementation are done using Matlab and OpenDSS software using parallel computing. The methodology is tested in the IEEE 123 node system observing the dependency of the HC indicator on the location and type of EV connection charger and the reduction of execution times.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132086956","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":"Factors Affecting Induced Voltages on Underground Pipelines Due to Inductive Coupling with Nearby Transmission Lines","authors":"Chenyang Wang, Xiaodong Liang, F. Freschi","doi":"10.1109/IAS.2019.8912428","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912428","url":null,"abstract":"The induced voltage on the pipeline is a critical parameters to be evaluated for equipment and personnel safety of the pipeline system. However, in the real life, such estimation is difficult especially at the transmission line planning and routing stage. In this paper, several factors affecting the induced voltage on underground pipeline due to inductive coupling with nearby transmission lines are investigated. A peak induced voltage calculation formula as the function of the angle and separation distance between the transmission line and the pipeline is determined through the surface fitting of the simulation data. It is proved in the paper that other factors such as the length of the transmission line and the soil model types do not have significant influence on the peak induced voltage values.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803881","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":"Fault Classification for Photovoltaic modules using Thermography and Image Processing","authors":"V. S. Kurukuru, A. Haque, Mohammed Ali Khan","doi":"10.1109/IAS.2019.8912356","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912356","url":null,"abstract":"For reliable and efficient operation of solar photovoltaic (PV) system it is necessary to detect and analysis fault. Especially in the case of PV arrays, it is difficult to shut down the modules completely during faults, due to their continuous operation during sunlight and conventional series-parallel PV configurations. This paper observed existing fault detection and classification solutions for PV modules and identifies their challenges and limitations. Since the detection of defects, it is mostly based on the heat radiated from the solar cells, interference of other heat emitting bodies will result in false identification and misinterpretation of the faults. Therefore, it is very essential that the background elements or any external noises need to be eliminated from the image before processing it to fault identification. In this paper, edge detection and Hough transform based image processing techniques were adapted for efficient identification of faults. The processed image is subjected to feature extraction and passed through a classification algorithm for localization and identification of the type of fault. The experiment results depict the training and testing accuracy of the developed technique which are around 94 and 93.1% respectively which are better than conventional methods.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131267644","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":"Field Operations of a Pilot Scale Packed-bed Non-thermal Plasma (NTP) Reactor Installed at a Pig Barn on a Michigan Farm to Inactivate Airborne Viruses","authors":"T. Xia, Zijie Lin, E. M. Lee, Kevin Melotti, Mitchell Rohde, H. Clack","doi":"10.1109/IAS.2019.8912457","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912457","url":null,"abstract":"Airborne transmission of livestock diseases or zoonotic diseases greatly threatens global food security, agricultural industry and public health. In the pork industry, porcine reproductive and respiratory syndrome (PRRS) is one of the most significant diseases which can be transmitted through air and has caused US farmers $664 million loss annually. Applying HEPA filtration, the traditional bioaerosol control technology, to ventilation air supplied to pig barns involves structural retrofits to buildings that can be costly, in addition to the periodic replacement of used filters. Non-thermal plasmas (NTPs), on the other hand, can inactivate airborne viruses and bacteria with minimal pressure drop. Our previous experiments using a lab-scale packed bed non-thermal plasma reactor demonstrated effective inactivation of bacteriophage MS2 and PRRS virus as a function of applied voltage and power. In the present study, a pilot scale prototype packed-bed NTP reactor was designed and constructed (by Quantum Signal LLC, Saline MI) and installed at one manure pit exhaust of a pig barn on a local Michigan farm. The reactor's PRRS virus inactivation efficiency was tested on-site. The study also examined how ambient temperature, relative humidity (RH) and extreme weather conditions may affect field operations of NTP and demonstrated challenges and precautions need to be considered before applying NTP in ambient conditions. The packed-bed NTP reactor was energized at various ambient temperature and RH conditions with the applied voltage and delivered current recorded. Airborne virus inactivation tests were conducted about seven days after vaccination, when the PRRS virus shedding rate was likely to be the highest. Two impingers and/or two button samplers sampled the virus-loaded air flow at both upstream and downstream positions of the reactor. The results indicated that ambient RH condition may greatly change the discharge behavior within an NTP reactor, and the erratic nature of PRRSv viremia following MLV vaccination made it hard to detect PRRSv in ambient air samples.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131297321","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":"Development of an Equivalent Wind-Farm Model for Frequency Regulation","authors":"Yuan-Kang Wu, Jyun-Jie Zeng, G. Lu, S. Chau, Yen-Cheng Chiang","doi":"10.1109/IAS.2019.8912030","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912030","url":null,"abstract":"The operational security of power systems for wind farm integration becomes more important as the penetration of wind generation increases. A wind farm may contain hundreds of wind turbines (WT) and thus the power system simulations based on the complex model of a WT consumes much time. This paper proposes an equivalent wind farm model with the frequency-regulation function. The main research works include the establishment of the generic model of a WT, the development of single-and multi-machine equivalent models for a large wind farm, the clustering of WTs based on the developed nonlinear wake model and the Fuzzy C-means(FCM) clustering algorithm, the integration of the frequency-regulation function into the equivalent wind farm (WF) model, and the validation of the developed equivalent WF model by various operating scenarios. The results demonstrate that the proposed multi-machine equivalent method based on the FCM clustering provides a more accurate model than a single-WT equivalent model. Consequently, the research results provides a solution for simulating a large-scale wind power integration, providing efficient, accurate, and fast steady-state and dynamic analyses.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908512","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":"Dielectric Nanofluids for Electrostatic Machines & Actuators","authors":"Kevin J. Frankforter, D. Klingenberg, D. Ludois","doi":"10.1109/IAS.2019.8911930","DOIUrl":"https://doi.org/10.1109/IAS.2019.8911930","url":null,"abstract":"Dielectric suspensions consisting of sterically coated, nano-scale barium titanium particles in the organic ester, isoamyl isovalerate, were developed to enhance the field forces in electrostatic machinery. The relative permittivity and conductivity of the suspensions were measured experimentally, as was the electrostatic force developed upon application of significant electric fields. At a particle concentration of 10% by volume, the relative permittivity of the suspension was approximately 50% greater than that of the base solvent. However, this improvement came at the expense of detriments to the conductivity and rheology of the suspension. These challenges must be addressed before dielectric suspensions can be used in such challenging applications.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114566320","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":"Generator Model Validation and Calibration using Synchrophasor Data","authors":"S. A. Foroutan, A. Srivastava","doi":"10.1109/IAS.2019.8912409","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912409","url":null,"abstract":"Model validation and calibration of generating units are critical for using the most updated models in planning and operation of power grid. Typically, validation and calibration is done manually in couple of years at substations, which are not effective due to the test expenses and the requirement to take generator out of service for several days. However, high resolution data from Phasor Measurement Unit (PMU)s possible through automation in ongoing smart grid activities can help in validation and calibration process. Variations of signal-playback form the power grid dynamic simulator and comparing the results with PMU measurements for different events is one of the possible approach for model validation. Calibration requires optimizing generator parameters to fit with response obtained by field PMU measurements. This is a challenging problem to solve given multiple parameters to tune in generators and given limited PMU measurements. This paper automates the process of model validation and parameter calibration by using a commercial dynamic simulator, PSS/E and developing all the interfacing with Ensemble of Kalman Filter tool. Additionally, the advantage, and limitations of existing optimization methods for calibration, specially Ensemble Kalman Filter (EnKF) are discussed. A sensitivity test is devised to diminish the subset of to-be-calibrated parameters and our framework in PSS/E is proposed with simulation results. Advantage and limitations of the approach are discussed and guidelines for future works are presented.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"498 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116275945","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":"Open-Phase Fault-Tolerant Current Reconstruction Control of Three-Phase Permanent Magnet Assisted Synchronous Reluctance Motors","authors":"M. Amin, G. A. A. Aziz, M. Ibrahim, P. Sergeant","doi":"10.1109/IAS.2019.8912389","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912389","url":null,"abstract":"This paper presents a novel phase current reconstruction fault tolerant control (PCR-FTC) approach of an open-phase fault in three-phase permanent magnet assisted synchronous reluctance motors (PMa-SynRMs). In conventional FTC approaches, the magneto motive force is maintained constant which significantly increases the motor current of the healthy phases. However, higher currents will lead to PMa-SynRM saturation and less reluctance torque. The proposed approach offers a phase orientation methodology to reconstruct the healthy phases of the PMa-SynRM while maximizing the torque under reduced phase currents. The open-phase fault is firstly detected via capturing the current trajectory. Then, the optimum angles of remaining healthy phase currents are obtained. A 7.4 hp PMa-SynRM prototype drive system is simulated and experimentally tested to validate the high accuracy and good dynamic performance of the proposed PCR-FTC method at different loading conditions. A comparative analysis study with the existing methods is performed to confirm the effectiveness of the proposed fault tolerant control method. Finally, the approach is considered a cost-effective solution for industrial applications.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123951824","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":"Experimental Validation of High Performance HIL-based Real-time PMU Model for WAMS","authors":"M. Amin","doi":"10.1109/IAS.2019.8912441","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912441","url":null,"abstract":"This paper presents design, analysis, and implementation of a new real-time hardware-in-the-loop (HIL) based model for synchronized phasor measurement unit (PMU) compliant with the standard C37.118.1. The proposed model is feasible for a wide area measurement system (WAMS) in modern power grids involving renewable energy sources. The main goal is to investigate the performance of the HIL-based PMU models, each of which represent an intelligent agent. Accordingly, monitoring, control, and protection functionalities are significantly enhanced. Additionally, the proposed model is tested for steady-state (normal) and dynamic (fault occurrence) performance through different scenarios. The proposed HIL-based PMU model performance is investigated and compared with measurement (M) and performance (P) class models. Furthermore, a reduced-scale 6-bus real-time experimental laboratory setup incorporating digital controller is built and tested to demonstrate the practical validity of the proposed model for smart grid research and development.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880589","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}