2021 IEEE Industry Applications Society Annual Meeting (IAS)最新文献_第3页

Risk of Loss of Protection Coordination in Distribution Grids with High Penetration of Distributed Energy Resources 分布式能源高渗透配电网保护协调丧失的风险

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677362

Muhammad Yousaf, K. Muttaqi, D. Sutanto

引用次数: 4

Solution for Invasion of Stray Current from Traction Power Supply System on AC Power System 牵引供电系统杂散电流侵入交流供电系统的解决方案

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677105

Jinli Zhu, C. Mao, Zhaoyuan Wang, Dan Wang

引用次数: 1

Distribution Grid Optimal Power Flow with Volt-VAr and Volt-Watt Settings of Smart Inverters 智能逆变器电压无功和电压瓦特设置下配电网最优潮流

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/IAS48185.2021.9715792

Adedoyin Inaolaji, Alper Savasci, S. Paudyal

{"title":"Distribution Grid Optimal Power Flow with Volt-VAr and Volt-Watt Settings of Smart Inverters","authors":"Adedoyin Inaolaji, Alper Savasci, S. Paudyal","doi":"10.1109/IAS48185.2021.9715792","DOIUrl":"https://doi.org/10.1109/IAS48185.2021.9715792","url":null,"abstract":"High penetration of photovoltaic generators in active distribution networks (ADNs) causes overvoltage due to reverse power flow. Smart inverter (SI) functionalities can be configured to provide efficient voltage regulation and reactive power support in ADNs. Distribution grid optimal power flow (DOPF)-based models are typically employed to obtain setpoints of inverters and/or legacy control devices. However, existing works do not consider Volt-VAr and Volt-Watt droop functionalities of SI in a system-wide optimization framework, making the inverter dispatch solutions potentially unsuitable at the local inverter controller level. Therefore, in this work, we propose the inclusion of local piecewise Volt-VAr and Volt-Watt droop functions (as per the IEEE-1547) as constraints in the DOPF formulation. We adopt a well-known LinDistFlow version of DOPF and with the inclusion of piecewise Volt-Watt and Volt-VAr droop functions, the resulting DOPF becomes a mixed integer linear programming (MILP) problem. Simulations on a 730-node MV/LV feeder with 20 utility-scale inverters validate the efficacy and scalability of the proposed formulation. The simulation results confirm the capability of SI droop functions to provide reactive power and voltage regulation support in ADNs.","PeriodicalId":289566,"journal":{"name":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973172","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

Modeling and Control of Multi-functional 3-ϕ Grid-Connected Photovoltaic Power System 多功能3- φ并网光伏发电系统建模与控制

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677221

Faisal Sattar, M. E. Moursi, A. Al‐Durra, T. El-Fouly

引用次数: 4

Determining Optimal Size of Cogeneration Resources Considering Protection Coordination Limits in Steel Manufacturers 考虑保护协调极限的钢铁企业热电联产资源最优规模确定

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677255

D. Van Strahlen-Gutierrez, A. Ustariz-Farfán, E. Cano-Plata

引用次数: 0

Boost Packed E-Cell: A Compact Multilevel Converter for Power Quality Ancillary Services 升压封装的E-Cell:用于电能质量辅助服务的紧凑型多电平转换器

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677214

M. Babaie, K. Al-haddad

{"title":"Boost Packed E-Cell: A Compact Multilevel Converter for Power Quality Ancillary Services","authors":"M. Babaie, K. Al-haddad","doi":"10.1109/ias48185.2021.9677214","DOIUrl":"https://doi.org/10.1109/ias48185.2021.9677214","url":null,"abstract":"Beyond question, replacing conventional two-level power converters by their bidirectional multilevel rivals improves Flexible AC Transmission Systems (FACTS) and Active Power Filters (APF) in terms of efficiency, power quality and switching losses. Regarding the constructive impact of multilevel converters on the performance of FACTSs and APFs, this paper proposes Boost Packed E-Cell (BPEC) as an affordable and reliable compact multilevel converter for the power ancillary services. BPEC is able to generate a voltage waveform with either 9 or 11 levels using three dc capacitors and eight semiconductor switches. The boost operation empowers BPEC to dominate the grid voltage using low power dc-links. Horizontal expansion of the capacitors in BPEC reduces the dc voltage measurements and remarkably enhances the converter reliability. For the case study, BPEC is investigated in the form of a single-phase Compact Active Power Filter (CAPF) when reactive/nonlinear loads are connected to grid. Finite Control Set Model Predictive Control (FCSMPC) is also dedicated to assure the desired performance of BPEC in the CAPC application. The validation tests performed by dSPACE and MATLAB prove successful active damping of the load current harmonics at the point of common coupling.","PeriodicalId":289566,"journal":{"name":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124043442","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

Electromechanical Based Energy Saving Control Strategy for Beam Pumping Motor Systems in Oil Production Industry 采油工业中基于机电的梁抽电机系统节能控制策略

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/IAS48185.2021.9677220

Haisen Zhao, Z. Wang, Yilong Wang, Liancheng Zhang, H. Eldeeb, Y. Zhan, Guorui Xu

{"title":"Electromechanical Based Energy Saving Control Strategy for Beam Pumping Motor Systems in Oil Production Industry","authors":"Haisen Zhao, Z. Wang, Yilong Wang, Liancheng Zhang, H. Eldeeb, Y. Zhan, Guorui Xu","doi":"10.1109/IAS48185.2021.9677220","DOIUrl":"https://doi.org/10.1109/IAS48185.2021.9677220","url":null,"abstract":"A typical running cycle of the beam pumping unit (BPU) includes heavy and light load conditions. Moreover, the motor can operate in generation mode due to the release of potential energy from the mechanical load. Typical BPU has a fixed balance block, which is inadequate for matching the continuously varying loading conditions (i.e. oil density, oil level …etc.). Consequently, it overburdens the possibility of energy saving. To overcome the aforementioned industrial challenges, this study proposes an energy-saving strategy, that combines real-time dynamic balance adjustment (DBA) and auto-tracking voltage regulation control (VRC). The proposed approach is based on analyzing the BPMS’s torque components and its characteristics. The developed energy-saving technology (EST) relays on mechanical and electrical sensors. The current operational status of the system is defined using the remote sensor’s readings. The proposed EST was realized experimentally on an in-field 37-kW BPMS standard test platform. The results showed that the proposed EST can achieve 15% energy saving compared to the conventional BPMS.","PeriodicalId":289566,"journal":{"name":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125940150","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

Effects of Direction and Strength of External Electric Field on Particle Charging and Levitation under UV Irradiation 紫外线照射下外电场方向和强度对粒子带电和悬浮的影响

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677386

M. Shoyama, Taiki Sugaya, S. Matsusaka

引用次数: 1

Inactivation of Staphylococcus Aureus by Microplasma 微血浆对金黄色葡萄球菌的灭活作用

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677085

M. Blajan, A. Yahaya, J. Krištof, T. Okuyama, Kazuo Shimizu

引用次数: 1

Greedy Clustering-based Monthly Electricity Consumption Forecasting Model 基于贪婪聚类的月用电量预测模型

2021 IEEE Industry Applications Society Annual Meeting (IAS) Pub Date : 2021-10-10 DOI: 10.1109/ias48185.2021.9677327

Yuqing Wang, Zhenghui Li, Fei Wang, Z. Zhen, P. Dehghanian, J. Catalão, Kangping Li, M. Fotuhi‐Firuzabad

{"title":"Greedy Clustering-based Monthly Electricity Consumption Forecasting Model","authors":"Yuqing Wang, Zhenghui Li, Fei Wang, Z. Zhen, P. Dehghanian, J. Catalão, Kangping Li, M. Fotuhi‐Firuzabad","doi":"10.1109/ias48185.2021.9677327","DOIUrl":"https://doi.org/10.1109/ias48185.2021.9677327","url":null,"abstract":"Accurate monthly electricity consumption forecasting is indispensable for electricity retailers to mitigate trading risks in the electricity market. Clustering-based forecasting method are commonly used to generate accurate monthly electricity consumption forecasting results. This paper focuses on the problem that the existing clustering-based monthly electricity consumption forecasting methods perform clustering and forecasting independently, causing that the joint optimization of two steps cannot be achieved. The reason for this situation is that the target of current clustering algorithms, maximizing individual similarity in a group, is not consistent with the final target of improving the forecasting accuracy. To solve the above problem, the greedy clustering-based monthly electricity consumption forecasting model (GCMECF) is proposed in this paper. Its clustering step takes improving the overall predictability as the optimization target, which is closely related to the forecasting target. In this way, with matching targets, the joint optimization of clustering and forecasting can be achieved. Meanwhile, the selection of the optimal number of clusters is decided based on the forecasting performance under multiple clustering scenarios. The case study verifies the effectiveness and superiority of the proposed method via a realworld dataset.","PeriodicalId":289566,"journal":{"name":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128293587","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