2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)最新文献_第6页

State Feedback Control to Damp Output LC Filter Resonance for Field Oriented Control of VSI Fed Induction Motor Drives 阻尼输出LC滤波器谐振的状态反馈控制在VSI感应电机驱动的场定向控制中

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.60

Vikram Roy Chowdhury, S. Mukherjee, P. Shamsi, M. Ferdowsi

引用次数: 4

Flywheel Energy Storage - Dynamic Modeling 飞轮储能-动态建模

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.52

E. Muljadi, V. Gevorgian

{"title":"Flywheel Energy Storage - Dynamic Modeling","authors":"E. Muljadi, V. Gevorgian","doi":"10.1109/GREENTECH.2017.52","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.52","url":null,"abstract":"A flywheel energy storage systems (FESS) is suitable for high-power, low-energy content to deliver or absorb power in surges. This type of application is very suitable for frequency regulation in an electric grid. In addition, a modern FESS is built as a high-efficiency, high-speed motor/generator drive system that employs modern power electronics, therefore, the power quality of the grid-connected output is excellent. In addition, a FESS is very valuable to delivering ancillary services to the grid, and it can contribute reactive power compensation. Thus, a FESS can maintain high reliability in power systems by providing ride-through capability to the power system area while the rest of the generating fleet, which has a slower response in the power system, performs primary and secondary frequency response to the grid. A FESS has several advantages compared to a chemical-based energy storage (CBES) system, namely: it has high energy density and durability, and it can be cycled frequently without impacting performance. The response of FESS is faster than that of a CBES. Also, unlike some CBES, FESS has the same performance regardless of the number of cycles of charging/discharging performed throughout its lifetime.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130215733","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

Islanding Detection with Data Mining Methods - A Comparative Study 孤岛检测与数据挖掘方法的比较研究

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.21

Hussein Al-Bataineh, R. Kavasseri

{"title":"Islanding Detection with Data Mining Methods - A Comparative Study","authors":"Hussein Al-Bataineh, R. Kavasseri","doi":"10.1109/GREENTECH.2017.21","DOIUrl":"https://doi.org/10.1109/GREENTECH.2017.21","url":null,"abstract":"There is a worldwide trend towards the integration of renewable energy in the form of distributed generation, leading to the formation of microgrids. Connection of these sources introduces new issues in the operation and management of distribution systems. An important issue is that of islanding, where the microgrid remains energized locally while isolated from the main grid. It is important to detect this islanding event quickly and accurately in order to prevent possible damage to the DG and load that remains connected to the DG side after islanding. This paper explores the problem of timely islanding detection by machine learning techniques. Several cases of islanding and non-islanding are simulated on the IEEE-13 bus distribution system. Different types of DGs are connected to the system and disturbances are introduced. We consider the use of the voltage, frequency and their rate of changes at the Point of Common Coupling (PCC) as features for event detection using classifiers. These features are extracted from the simulation results and used to train and test several types of classifiers. It is shown that the random forest classifier detects the islanding with a high level of accuracy and within a reasonable amount of time after the occurrence of the disturbance.","PeriodicalId":104496,"journal":{"name":"2017 Ninth Annual IEEE Green Technologies Conference (GreenTech)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129601239","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: 8

Robust Model Predictive Control of DC-DC Floating Interleaved Boost Converter under Uncertainty 不确定性下DC-DC浮动交错升压变换器的鲁棒模型预测控制

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.39

H. Sartipizadeh, F. Harirchi

引用次数: 14

Empirical Investigations of the Opportunity Limits of Automatic Residential Electric Load Shaping 住宅用电负荷自动整形机会限制的实证研究

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.17

R. Cruickshank, G. Henze, R. Balaji, B. Hodge, A. Florita

引用次数: 3

Enhancement of Voltage Profile in Unbalanced Distribution Systems with Variable Loads 变负荷不平衡配电系统电压分布的增强

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.50

Tianjian Wang, Matin Meskin, I. Grinberg

引用次数: 5

Supervisory LMI-Based State-Feedback Control for Current Source Power Conditioning of SMES 基于监督lmi的中小企业电流源功率调节状态反馈控制

2017 Ninth Annual IEEE Green Technologies Conference (GreenTech) Pub Date : 2017-03-01 DOI: 10.1109/GREENTECH.2017.27

W. Gil-González, O. Montoya, A. Garcés, A. Escobar-Mejía

引用次数: 10