2014 IEEE Industry Application Society Annual Meeting最新文献_第7页

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978344

H. Shio

引用次数: 0

Real time benefit computation for electric distribution system automation and control 配电系统自动化控制的实时效益计算

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978421

F. Shariatzadeh, S. Chanda, A. Srivastava, A. Bose

{"title":"Real time benefit computation for electric distribution system automation and control","authors":"F. Shariatzadeh, S. Chanda, A. Srivastava, A. Bose","doi":"10.1109/IAS.2014.6978421","DOIUrl":"https://doi.org/10.1109/IAS.2014.6978421","url":null,"abstract":"Smart grid technologies are expected to increase system efficiency and reliability using advancement in automation, communication, computation and optimization. Several control algorithms have been developed or enhanced for operation and control of smart distribution grid including Fault Detection, Isolation and service Restoration (FDIR), Optimal Feeder Reconfiguration (OFR), and Volt/Var Control (VVC). In recent years, VVC algorithms have been proposed for energy saving in distribution systems due to advancement provided by smart grid automation and control. VVC helps to lower distribution feeder voltage to decrease energy consumption. However, quantification of this impact is hard due to several external factors such as weather and end users behavior. On the other hand, existing evaluation methods of VVC algorithms are either not suitable for long-term study or intrusive. This paper addresses these issues by proposing a new technique to estimate `distribution system demand without smart grid implementation' utilizing `data measured from system with smart grid implementation'. Inter-dependency of voltage and load is considered based on estimated load characteristic. An estimation method is developed to find energy saving in real time due to VVC smart grid control algorithms. Developed algorithm is tested on real distribution feeder, implemented in industry and indicates satisfactory results.","PeriodicalId":446068,"journal":{"name":"2014 IEEE Industry Application Society Annual Meeting","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218922","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: 5

Short-term load forecasting using regression based moving windows with adjustable window-sizes 基于可调窗口大小的移动窗口的短期负荷预测

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978380

D. H. Vu, K. Muttaqi, A. Agalgaonkar

{"title":"Short-term load forecasting using regression based moving windows with adjustable window-sizes","authors":"D. H. Vu, K. Muttaqi, A. Agalgaonkar","doi":"10.1109/IAS.2014.6978380","DOIUrl":"https://doi.org/10.1109/IAS.2014.6978380","url":null,"abstract":"This paper presents a regression based moving window model for solving the short-term electricity forecasting problem. Moving window approach is employed to trace the demand pattern based on the past history of load and weather data. Regression equation is then formed and least square method is used to determine the parameters of the model. In this paper, a new concept associated with cooling and heating degree is used to establish the relationship between electricity demand and temperature, which is one of the key climatic variables. In addition, Pearson's correlation has been employed to investigate the interdependency of electricity demand between different time periods. These analyses together with the data in the holiday period provide the supportive information for the appropriate selection of the window size. A case study has been reported in this paper by acquiring the relevant data for the state of New South Wales, Australia. The results are then compared with a neural network based model. The comparison shows that the proposed moving window approach with the different window sizes outperforms conventional neural network technique in small time scales i.e., from 30 minutes to 1 day ahead.","PeriodicalId":446068,"journal":{"name":"2014 IEEE Industry Application Society Annual Meeting","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133745662","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: 21

Cooperative control of power conditioners in high-voltage distribution systems comprising a large number of PV systems 由大量光伏系统组成的高压配电系统中电源调节器的协同控制

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978486

K. Fukunaga, A. Takahashi, J. Imai, S. Funabiki

引用次数: 2

Three dimensional motion picture technologies 三维电影技术

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978440

K. Aoshima, H. Kinjou, K. Machida, D. Kato, K. Kuga, T. Mishina, H. Kikuchi, N. Shimidzu

引用次数: 0

Behavioral characterization of electric vehicle charging loads in a distribution power grid through modeling of battery chargers 基于电池充电器建模的配电网电动汽车充电负荷行为表征

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978412

A. Haidar, K. Muttaqi

{"title":"Behavioral characterization of electric vehicle charging loads in a distribution power grid through modeling of battery chargers","authors":"A. Haidar, K. Muttaqi","doi":"10.1109/IAS.2014.6978412","DOIUrl":"https://doi.org/10.1109/IAS.2014.6978412","url":null,"abstract":"Plug-in Electric Vehicle (PEV) is a new atypical load in power systems. In future, PEV load will play a significant role in the distribution grids. This integrated load into the power grid may overload the system components, increase power losses and may violate system constraints. Currently, the most common method of Electric Vehicle (EV) modeling is to consider the EV loads as constant power elements without considering the voltage dependency of EV charging system during state of charges (SOC). EV load demand cannot be considered as a constant power, as modeling as a constant power load will not provide accurate information about the behavior of charging system during charging process. As several research projects on smart grids are now looking into realistic models representing the realistic behavior of an EV loads, this paper proposes a methodology for modeling of EV charger integrated to an electricity grid in order to understand the impacts of EV charging load. A charging system was designed to capture the EV load behavior and extract the coefficients of the EV ZIP load model. A comparative study was carried out with different types of load models. The results indicate that the assumptions of load demand as a constant power to analysis the effect of PEVs on power grid would not be effective in real time application of PEVs.","PeriodicalId":446068,"journal":{"name":"2014 IEEE Industry Application Society Annual Meeting","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129634221","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: 52

Voltage regulation in mine power distribution systems: Problems and solutions 矿井配电系统的电压调节:问题及解决方法

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978453

L. Morán, J. Espinoza, R. Burgos

引用次数: 6

Considerations in the design of grounding system for solar farms 太阳能发电场接地系统设计的注意事项

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978500

E. Enrique, Ibro Hadzismajlovic, B. Shen

引用次数: 3

Electronic power transformer to secure the power supply of a mission critical microgrid 确保关键任务微电网供电的电子电力变压器

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978383

Dan Wang, C. Mao, Jiming Lu, Weijen Lee

引用次数: 5

Motor drive systems reliability: Impact of the environment conditions on the electronic component failure rates 电机驱动系统的可靠性:环境条件对电子元件故障率的影响

2014 IEEE Industry Application Society Annual Meeting Pub Date : 2014-12-08 DOI: 10.1109/IAS.2014.6978463

Frederico A. L. Souza, P. Pereira, H. Paula, B. Filho, A. Rocha

引用次数: 9