2022 IEEE Industry Applications Society Annual Meeting (IAS)最新文献_第8页

Comparative Analysis, Modeling, and Experimental Validation of Current Regulation Strategies for a Grid- Tied Inverter with LCL Filter 带LCL滤波器并网逆变器电流调节策略的比较分析、建模与实验验证

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939887

C. S. Goli, M. Manjrekar, P. Sahu

引用次数: 0

An improved rule-based energy management strategy for hybrid energy system with hydrogen cycle 基于规则的氢循环混合能源系统能量管理改进策略

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940085

Chongyang Tian, Y. Huangfu, Rui Ma, Sheng Quan, Peng Li, Yonghui Zhang, Jiang Wei

引用次数: 0

Continued Investigation of Arc Flash in Single Phase Systems 单相系统电弧闪蒸的继续研究

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940044

John F. Wade, P. Brazis, David W. Lambrecht

引用次数: 1

Field Weakening Combined Over-modulation and Six-step Operation of Induction Motor with Improved Torque Control 改进转矩控制的感应电动机弱磁场联合过调制和六步运行

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939971

V. Kousalya, Bhim Singh

{"title":"Field Weakening Combined Over-modulation and Six-step Operation of Induction Motor with Improved Torque Control","authors":"V. Kousalya, Bhim Singh","doi":"10.1109/IAS54023.2022.9939971","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939971","url":null,"abstract":"In this paper, field weakening combined six-step operation of the induction motor is presented for electrical vehicle application. At first, to operate the induction motor beyond the base speed, a voltage closed loop based field weakening system (VCFS) is constructed, which reduces the magnetizing current based on the maximum operating voltage of the inverter. To improve maximum torque capability for the given DC-link voltage, the over-modulation with six-step operation is implemented. Due to the saturation of stator voltage in the current controller, the adapted rotor field-oriented control (RFOC) cannot give decoupled control of torque and flux in the six-step mode. To overcome this, voltage angle-based torque control is implemented. The seamless transition between RFOC and voltage angle control is achieved based on minimum flux required in the induction machine. The implemented over-modulation along with the six-step mode of operation not only increases the DC-link utilization and maximum torque capability but also widen the constant torque and constant power operating regions. The entire control algorithm is implemented in Matlab / Simulink platform and the results are analysed up to three times the base speed.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133271507","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: 0

Critical Flicker Frequency and Auditory Stimuli - Procedure Settings 临界闪烁频率和听觉刺激-程序设置

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939707

L. Kukačka, Michaela Chmelarová, Jan Hergesel, P. Dupuis, G. Zissis

引用次数: 1

A Novel Front-End Single-Stage Bridgeless Boost Converter for Grid Integration of Multisource DC-Microgrid Applications 面向多源直流微电网集成的新型前端单级无桥升压变换器

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939763

M. Amin, A. Soliman, F. El-Sousy, O. Mohammed

{"title":"A Novel Front-End Single-Stage Bridgeless Boost Converter for Grid Integration of Multisource DC-Microgrid Applications","authors":"M. Amin, A. Soliman, F. El-Sousy, O. Mohammed","doi":"10.1109/IAS54023.2022.9939763","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9939763","url":null,"abstract":"The use of high frequency power converters to enhance power density and energy efficiency has become widely used in grid-connected hybrid DC microgrids. This paper presents a new modularized high frequency DC-link integration methodology that connects multisource renewable energy sources involves battery energy storage system (BESS) to the AC-grid. A grid-tie-inverter with a line inductor is introduced to control the active-reactive power flow. To minimize the converter physical size with improved system efficiency, a high frequency-based front-end multisource bridgeless boost (MBB) architecture is proposed here. A direct-mount decoupling snubber capacitor and a soft switching are used to reduce the switching losses resulted from the high-frequency operation. The performance of the proposed system is investigated. A direct digital approach is used to design the system controller in Matlab/Simulink R2022a environment. To validate the system performance, a 10 kW multi-source grid-connected experimental setup with dSPACE-1104 controller is constructed, tested, and compared with other conventional topologies. The test results verify the proposed topology effectiveness for hybrid grid-connected renewable energy resources integration.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130568159","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: 11

Stochastic Modeling of Shielding Failures to Substations: Implications for the Energy Absorption Requirements of Surge Arresters 变电站屏蔽失效的随机建模:对避雷器能量吸收要求的启示

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9939682

A. Ioannidis, T. Tsovilis

引用次数: 1

A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids 一种工业微电网无通信故障检测与分类方案

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940120

Deepika Chhetija, Z. Rather, S. Doolla

{"title":"A Communication-free Fault Detection and Classification Scheme for Industrial Microgrids","authors":"Deepika Chhetija, Z. Rather, S. Doolla","doi":"10.1109/IAS54023.2022.9940120","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9940120","url":null,"abstract":"The fault detection and classification (FDAC) of the islanded industrial microgrids is challenging due to the low short circuit current from inverter based sources and the bidirectional nature of current. This article proposes a FDAC scheme, which utilizes the local voltage at the relays, placed at both sides of the line section. The relays can be programmed to adapt to the proposed scheme, and hence there is no need for additional communication. The transient monitoring function (TMF) of the voltage signal (Tv) is calculated, which gives the information of the fault transients. Compared to its pre-fault value, the faulty phase Tv significantly reduces during a fault. Therefore, the Tv of any phase less than a pre-defined threshold (Tth) confirms the occurrence of a faulty event and respective faulty phases. The nature of the Tv is studied with extensive simulations to decide the suitable Tth• The proposed scheme is validated on the modified CIGRE test microgrid for all eleven types of shunt faults. Several test cases are simulated in MATLAB Simulink at various locations with different inception angles, loading conditions, and fault resistances. The obtained results are found to be satisfactory for FDAC, with local information available at relaying points.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127374313","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: 0

Mitigating Circulating Currents of Parallel Three-Phase Vienna Rectifiers with Unbalanced Filter Inductors 不平衡滤波电感并联三相维也纳整流器的循环电流抑制

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940026

Szu-Chi Peng, Zong-Lin Li, Surya Chandra Gulipalli, C. Chu

引用次数: 1

A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources 基于深度强化学习的可移动能源灾后路由方法

2022 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2022-10-09 DOI: 10.1109/IAS54023.2022.9940073

Mukesh Gautam, N. Bhusal, M. Benidris

{"title":"A Deep Reinforcement Learning-based Approach to Post-Disaster Routing of Movable Energy Resources","authors":"Mukesh Gautam, N. Bhusal, M. Benidris","doi":"10.1109/IAS54023.2022.9940073","DOIUrl":"https://doi.org/10.1109/IAS54023.2022.9940073","url":null,"abstract":"After the occurrence of an extreme event, movable energy resources (MERs) can be an effective way to restore criti-cal loads to enhance power system resilience when no other forms of energy sources are available. Since the optimal locations of MERs after an extreme event are dependent on system operating states (e.g., loads at each node, on/off status of system branches, etc.), existing analytical and population-based approaches must repeat the entire analysis and computation when the system operating states change. Conversely, deep reinforcement learning (DRL)-based approaches can quickly determine optimal or near-optimal locations despite changes in system states if they are adequately trained with a variety of scenarios. The optimal deployment of MERs to improve power system resilience is proposed using a Deep Q-Learning-based approach. If they are available, MERs can also be used to supplement other types of resources. Following an extreme event, the proposed approach operates in two stages. The distribution network is modeled as a graph in the first stage, and Kruskal's spanning forest search algorithm (KSFSA) is used to reconfigure the network using tie-switches. The optimal or near-optimal locations of MERs are determined in the second stage to maximize critical load recovery. A case study on a 33-node distribution test system demonstrates the effectiveness and efficacy of the proposed approach for post-disaster routing of MERs.","PeriodicalId":193587,"journal":{"name":"2022 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011121","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: 2