2017 2nd International Conference on Power and Renewable Energy (ICPRE)最新文献_第9页

Blockchain technology for electricity market in microgrid 微电网电力市场的区块链技术

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390625

Lei Xue, Y. Teng, Zhenyuan Zhang, Jian Li, Kun Wang, Qi Huang

引用次数: 29

Microgrid operation control technology based on lithium-ion capacitor 基于锂离子电容器的微电网运行控制技术

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390628

Chen Daopin, C. Bangfa, Huang Jing, Song Anqi

引用次数: 0

Research on influence factors analysis and countermeasures of improving prediction accuracy of run-of-river small hydropower 提高顺流小水电预报精度的影响因素分析及对策研究

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390595

Q. Fan, Xiankui Wen, Chenghui Lin, Wen Peng, Yan Zhang

{"title":"Research on influence factors analysis and countermeasures of improving prediction accuracy of run-of-river small hydropower","authors":"Q. Fan, Xiankui Wen, Chenghui Lin, Wen Peng, Yan Zhang","doi":"10.1109/ICPRE.2017.8390595","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390595","url":null,"abstract":"Guizhou Province is rich in water resources, in addition to large and medium-sized hydropower stations, but also has more than 3,600 MW of small hydropower, which accounted for 74.65% of small hydropower. In this paper, the existing small hydropower power forecasting method is analyzed. It is found that the existing forecasting methods have poor adaptability to the power prediction of the small hydropower station, and the precision is difficult to meet the dispatching operation requirement. The main reason for the above problems is that run-of-river small hydropower is mostly in remote mountainous areas. Power generation capacity is affected by climate and geographical environment seriously, which results in strong randomicity of power generation output. Finally, through the comparison and analysis of the actual data and the forecast data of the small hydropower station, it is found that the prediction accuracy of the small hydropower has a great relationship with the historical power data and the quality of the weather forecast. It is suggested that in the future research and engineering practice, forecasting the quality of the historical data and the weather forecast data should be fully considered to improve the forecast accuracy of the run-of-river small hydropower, so as to provide the basis for adjusting the operation plan of the grid dispatching and ensure the safe operation of the grid.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128348453","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

“FIVE A” synthetical evaluation method for power quality assessment in new energy power 新能源电力质量评价的“FIVE A”综合评价方法

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390617

Jing-Ran Hu, Daming Zhu, Ye Yuan

引用次数: 0

Research on micro-grid distribution network and its operation efficiency in the energy internet 能源互联网中微电网配电网及其运行效率研究

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390589

Li Juan, Wang Shi-ju, Xu Jing, Zhang Xuefei, Li Peng

引用次数: 2

Novel supercapacitor model parameter identification methods 新型超级电容器模型参数辨识方法

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390505

Xiao Chang, Da Lei, Shifeng Zhang, Shengwen Li, Yunlei Yang

{"title":"Novel supercapacitor model parameter identification methods","authors":"Xiao Chang, Da Lei, Shifeng Zhang, Shengwen Li, Yunlei Yang","doi":"10.1109/ICPRE.2017.8390505","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390505","url":null,"abstract":"Supercapacitor based energy storage system has been applied in different power level applications for years. Due to its ultra-high capacitance and capacitor characteristics, it is ideal for high power short duration circumstances, such as regenerative braking in electric vehicle, transient frequency control in power grid. For all such supercapacitor applications, an accurate model of supercapacitor is essential for analysing its behaviour under various operating conditions. Many different electrical models have been proposed to improve accuracy under different conditions, such as the three branch model, ladder model, and transmission line model. The associated parameter identification methods are also important in improving model accuracy. Different models are reviewed in this paper, and its applicable conditions for each model are discussed. Two novel parameter identification methods are proposed, which provides better accuracy in describing supercapacitor discharge behaviour with a simplified experimental test. The mathematical model and experimental comparison are provided to verify the new parameter identification method.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114207875","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

Study on renewable energy integration with electric thermal storage in demand-side — Part II: Sequential production simulation based sensitivity analysis 需求侧蓄电可再生能源集成研究——第二部分:基于时序生产模拟的敏感性分析

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390605

Yan Zhang, X. Dai, Xinyang Han, Wei Wang, Ning Jiang, Gang Zhao

引用次数: 5

Research on optimal load shedding for active distribution network based on genetic algorithm 基于遗传算法的有源配电网最优减载研究

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390587

Yang Fan, Xin Zi, Liu Jun, Lu Bingbing

引用次数: 5

Quantitative analysis method for electricity-saving benefit of area substations 区域变电站节电效益定量分析方法

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390613

Shaohua Ma, S. Ouyang, Xiang Huang

引用次数: 0

Study on vibration monitoring and multi-feature analysis of oil-immersed power transformer in arctic area 北极地区油浸式电力变压器振动监测及多特征分析研究

2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390549

Wenqing Lai, Yuandong Wang, Wenpeng Li, Guang Sun, Guomin Qu, Yongqiang Wang

{"title":"Study on vibration monitoring and multi-feature analysis of oil-immersed power transformer in arctic area","authors":"Wenqing Lai, Yuandong Wang, Wenpeng Li, Guang Sun, Guomin Qu, Yongqiang Wang","doi":"10.1109/ICPRE.2017.8390549","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390549","url":null,"abstract":"The low temperature in East Mongolian arctic winter may lead to the part of the bottom of the transformer insulating oil condensation, affecting the cooling of transformer. And then winding and core break down. Transformer vibration monitoring method has been widely researched and applied in transformer winding and core fault detection with its advantages of no electrical connection, easy installation and so on. Based on vibration monitoring of 500kV substation in Haibei East Mongolia No. 1 and No. 2 main transformers, this paper puts forward a diagnostic method of transformer winding and core based multi-features including time domain partial peak degree of vibration signal, frequency domain center frequency and energy ratio on time-frequency combined Dual Tree Complex Wavelet method(DT-CWT). The characteristic fingerprint database of the vibration signal of the transformer in the arctic area was established. It is found that the parameters of phrase B in No.1 main transformer of 500kVsubstation in Haibei were different from other transformers. By the maintenance of transformer windlass cover, it is found that there are some problems with the core transformer, such as uneven silicon steel sheet, larger the space in lamination. Then the diagnostic method of this article has been verified.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895711","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