2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)最新文献

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Electricity price forecasting using Support Vector Machines by considering oil and natural gas price impacts 考虑油气价格影响的支持向量机电价预测

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324591

Ali Shiri, M. Afshar, A. Rahimi-Kian, B. Maham

{"title":"Electricity price forecasting using Support Vector Machines by considering oil and natural gas price impacts","authors":"Ali Shiri, M. Afshar, A. Rahimi-Kian, B. Maham","doi":"10.1109/SEGE.2015.7324591","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324591","url":null,"abstract":"Accurate electricity price prediction is one of the most important parts of decision making for electricity market participants to make reasonable competing strategies. Support Vector Machine (SVM) is a novel algorithm based on a predictive modeling method and a powerful classification method in machine learning and data mining. Most of SVM-based and non-SVM-based models ignore other important factors in the electricity price dynamics and electricity price models are built regard to just historical electricity prices; However, electricity price has a strong correlation with other variables like oil and natural gas price. In this paper, single SVM model is used to combine diverse influential variables as 1-Historical Electricity Price of Germany 2-GASPOOL price as first natural gas reference price 3-Net-Connect-Germany (NCG) price as second natural gas reference price 4- West Texas Intermediate (WTI) daily price as US oil benchmark. The simulation results show that using oil and natural gas prices can improve SVM model prediction ability compared to the SVM models built on mere historical electricity price.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134318532","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: 41

Design and performance evaluation of hierarchical communication network for wide area measurement system 广域测量系统分层通信网络的设计与性能评价

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324603

Do-Young Kim, Young-Chon Kim

{"title":"Design and performance evaluation of hierarchical communication network for wide area measurement system","authors":"Do-Young Kim, Young-Chon Kim","doi":"10.1109/SEGE.2015.7324603","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324603","url":null,"abstract":"Over the years, renewable energy has experienced great growth and attention. The renewable power plants are distributed over large geographical areas and the number of renewable power plants is exponentially increasing. These distributed energy sources may make power system complex and unstable. Further, monitoring and control by existing system such as supervisory control and data acquisition (SCADA) system is facing the limitation to capture power system dynamics. In order to combat these problems, phasor measurement units (PMUs) are installed at power plants and substations to implement wide area measurement system (WAMS). To get accurate, high sampling frequency and synchronized data from PMUs at distributed locations, the WAMS needs high speed and reliable communication network. The communication network plays an important role in WAMS because real-time synchrophasor data and control messages are transmitted through communication network. In this paper, we present a hierarchical communication network architecture for WAMS. The proposed communication network consists of three network levels: generation, substation, and control center. To evaluate the performance of the proposed network, communication network for WAMS is modeled and simulated through OPNET. The simulation results are validated by comparing with the results of numerical analysis. The network performance is evaluated in terms of network delay under various link bandwidth and background traffic.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133292764","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

Improving the efficiency of a Doubly-Fed Induction Generator in variable speed wind turbines under different modes of operation considering core loss 考虑铁芯损耗，提高双馈感应发电机在不同运行模式下的变速风力发电效率

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324619

A. Helmy, A. Shaltout, N. Abdel-Rahim

引用次数: 3

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