2019 IEEE Industry Applications Society Annual Meeting最新文献_第4页

Detection and Characterization of the Instantaneous Point-on-wave of Voltage Sags in terms of Point of Inception and Point of Recovery 基于起始点和恢复点的瞬时电压跌落点波检测与表征

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912319

Sumaiya Hasan, K. Muttaqi, D. Sutanto, A. Bouzerdoum

{"title":"Detection and Characterization of the Instantaneous Point-on-wave of Voltage Sags in terms of Point of Inception and Point of Recovery","authors":"Sumaiya Hasan, K. Muttaqi, D. Sutanto, A. Bouzerdoum","doi":"10.1109/IAS.2019.8912319","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912319","url":null,"abstract":"This paper proposes an analytical algorithm to detect and characterize voltage sags in terms of voltage sag inception and recovery angles which are commonly known as point-on-wave (POW). A preliminary study has identified that only three possible recovery angles can take place in each phase for all possible voltage sag inception angles. Based on these three voltage sag recovery points, voltage sag signals can be clustered into three groups each separated by 180 degree. This analysis shows that for a fault induced voltage sag the actual points of inception POI) and points of recovery (POR) depend on a few parameters such as PAJ (Phase Angle Jump), Y/Δ connection of transformer and load, and fault clearing time of protective devices. The proposed method is validated using voltage sag waveforms of different types of symmetrical and asymmetrical faults obtained from two different radial distribution networks. From the simulation results it is observed that for some particular starting angles the actual voltage sag duration may increase significantly which can be harmful for some sensitive equipment even if the sag is shallow in magnitude. This analysis also shows that the magnitude of the current transient also depends on voltage sag starting angle. A large current transient can cause disruption of some sensitive equipment.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"48 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":"124610048","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}

引用次数: 3

Soft-switched Single-stage Isolated AC-DC Converter for High Power Applications 用于大功率应用的软开关单级隔离AC-DC变换器

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912459

Parthasarathy Nayak, K. Rajashekara

引用次数: 0

Adaptive Voltage Tuning Based Load Sharing in DC Microgrid 基于自适应电压调谐的直流微电网负荷共享

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912330

Shivam Chaturvedi, D. Fulwani

引用次数: 4

Prioritizing Battery Management System Functionalities for Risk Mitigation 优先考虑电池管理系统功能以降低风险

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8911964

S. Purushothaman

{"title":"Prioritizing Battery Management System Functionalities for Risk Mitigation","authors":"S. Purushothaman","doi":"10.1109/IAS.2019.8911964","DOIUrl":"https://doi.org/10.1109/IAS.2019.8911964","url":null,"abstract":"This paper provides the results of a study undertaken to better understand the Battery Management System (BMS) architectures and develop a minimum set of BMS safety functionalities to minimize the loss exposure in large energy storage systems (ESSs). A scenario-based FMEA (failure modes and effects analysis) was utilized in this study. Various failure scenarios were evaluated based on functions to be performed by the BMS. The failure scenario propagation is described in stages. Each stage could have multiple BMS functions (operational and safety) active. As the failure initiates and propagates, the scenario progresses to the next stage, eventually resulting in the outcome. The criticality of each BMS safety function was calculated by ranking the function based on the stage in which it was activated in each scenario. The ranking process was repeated for all scenarios and the overall rank was determined by the sum of ranks across all scenarios. It was found that the BMS function responsible for preparing the system for fire suppression (e.g., close all openings and seal vents) when fire is detected is the most critical. The second most critical function was found to be a complete system trip when a cell is detected to have entered a thermal runaway condition. The other safety functions in order of priority are pack switch fail-to-trip, inverter/charger fail-to-trip and cell temperature isolating trip functions. A distributed architecture has been found to be more suitable for large multi-cell applications like utility based ESSs.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"26 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":"132379380","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}

引用次数: 1

Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents 基于深度学习的谐波和间谐波预检测设计用于补偿显著时变电火花电流

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912022

Ebrahim Balouji, Karl Bäckström, T. McKelvey, Özgül Salor-Durna

{"title":"Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents","authors":"Ebrahim Balouji, Karl Bäckström, T. McKelvey, Özgül Salor-Durna","doi":"10.1109/IAS.2019.8912022","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912022","url":null,"abstract":"In this research work, time-and frequency-domain Deep Learning (DL) based methods have been developed to predetect harmonic and interharmonic components of a current waveform of an Electric Arc Furnace (EAF) application. In the time-domain DL based approach, a DL-based algorithm predicts future samples of an EAF current waveform, which is then used in a multiple reference frame (MSRF) analysis together with exponential smoothing (ES) to detect harmonics and interharmonics. Comparably, in the frequency-domain DL based approach, sliding Discrete Fourier Transform (DFT) followed by DL is employed to predict the future samples of harmonics and interharmonics. Moreover, to obtain the most accurate and robust prediction system, grid search has been employed for parameter optimization of the DL structure. Due to the high computational complexity of the DL training phase, an NVIDIA TITAN XP Graphics Processing Unit (GPU) is employed which utilizes an efficient multi-core parallel processing infrastructure which was critical for making this work feasible. Testing on recorded field data resulted in outstanding prediction of all harmonics up-to 50th order and interharmonics with 5Hz resolution. In addition, the effectiveness of our proposed system for Active Power Filters (APFs) for harmonics and interharmonics has been evaluated in a simulation environment using field data and has shown to provide successful results. Since the proposed method due to its predictive nature can reduce the response and reaction time of APFs to zero while maintaining high compensation accuracy. The developed method can be considered to be a feasible candidate solution for generating reference signals to the controllers of a new generation of compensation devices which we refer to as predictive active power filters (pAPF).","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"300 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":"132457219","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}

引用次数: 7

Intelligent Power Management for the Hybrid Energy Storage of the Ship Power System 船舶动力系统混合储能的智能电源管理

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8911947

Samy Faddel, M. E. Hariri, A. Saad, O. Mohammed

引用次数: 1

Frequency Compensation Control Strategy of Energy Storage in the Wind-energy storage Hybrid System for Improving Frequency Response Performance 提高风电储能混合系统频率响应性能的储能频率补偿控制策略

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912404

Kaiqi Sun, Kejun Li, W. Bao, Zhuo-di Wang, Zhijie Liu, Meiyan Wang, Weijen Lee

{"title":"Frequency Compensation Control Strategy of Energy Storage in the Wind-energy storage Hybrid System for Improving Frequency Response Performance","authors":"Kaiqi Sun, Kejun Li, W. Bao, Zhuo-di Wang, Zhijie Liu, Meiyan Wang, Weijen Lee","doi":"10.1109/IAS.2019.8912404","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912404","url":null,"abstract":"With the increasing penetration of renewable energies into power system, the lower inertia problem has been the shackle to the system operation. For improving the system transient stability, enabling wind turbine generators (WGs) to provide temporarily frequency support has been required by grid operators. However, due to the mechanical characteristic, the frequency response performance of WG is not satisfactory. Considering the fast response characteristic of the energy storage (ES), Using ES to help in improving the frequency support of WGs is a new prospective application. Limited to the energy storage capacity, existing frequency supporting control strategies that using the ES to improve wind turbine frequency response cannot fully compensate in whole frequency response process. Enlarging the capacity of ES may significantly increase the investment cost of Wind-ES hybrid system. To overcome these problems, this paper investigates the possibility and financial benefits of large-scale ES configuration in the Wind-ES hybrid system. The analysis results demonstrates that using the ES into electric market as frequency response resource could make large-scale ES configuration possible. Based on potential large-scale ES configuration scenarios, a frequency compensation control strategy for ES of Wind-ES hybrid system is proposed in this paper to compensate whole frequency response process of WGs. The case study shows that the proposed strategies could significantly improve the frequency response performance of WG.","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":"121614392","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}

引用次数: 4

Collective Distribution of Mobile Loads for Optimal and Secure Operation of Power Systems 电力系统优化安全运行的移动负荷集体分配

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912331

A. Hariri, M. M. Esfahani, O. Mohammed

引用次数: 2

Development of electrostatic precipitator and wet scrubber integration technology for controlling NOx and particulate matter emission from semiconductor manufacturing process 半导体制造过程中控制氮氧化物和颗粒物排放的静电除尘器和湿式洗涤器集成技术的开发

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912406

Jin-Ho Sung, San Kim, B. Han, Yong-Jin Kim, Keejung Hong, Hak-Joon Kim

引用次数: 1

A Type-3 PLL for Single-Phase Applications 用于单相应用的3型锁相环

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8911942

Abdullahi Bamigbade, V. Khadkikar, M. A. Hosani

引用次数: 17