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

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A summary of research on converged communication model of power network and information network 电网与信息网络融合通信模型研究综述
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390695
Mingfeng Xue, Kun Shi, Xiao Chen, Qian Wu, Bin Li, Bing Qi
{"title":"A summary of research on converged communication model of power network and information network","authors":"Mingfeng Xue, Kun Shi, Xiao Chen, Qian Wu, Bin Li, Bing Qi","doi":"10.1109/ICPRE.2017.8390695","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390695","url":null,"abstract":"This paper presented a summary of the recent progress of the integration of communication and information network. Power grid can carry power supply and demand interaction must be in the interaction between the two sides to form a two-way data flow ring Based on the standard CPS modeling theory the architecture of supply and demand interaction and the core node function based on information physical fusion are designed. The CPS interactive platform can give full play to the advantages of distributed intelligent unit can adapt to multi-level control and optimization needs can effectively support the future of power supply and demand interactive business flexibility.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"53 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":"123750682","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
Explore the implementation path of the world — Class city power supply network 探索建设世界一流城市供电网络的实施路径
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390691
L. Yingying, Gao Yi, Yang Fan, Zhang Zhang, Wu Xiao
{"title":"Explore the implementation path of the world — Class city power supply network","authors":"L. Yingying, Gao Yi, Yang Fan, Zhang Zhang, Wu Xiao","doi":"10.1109/ICPRE.2017.8390691","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390691","url":null,"abstract":"This paper introduces the essential elements of the world's first-rate urban power supply network, and gives the indexes of the first class urban power supply network by collecting domestic and foreign city information. By comparing the indexes of domestic and foreign major cities, find out the difference of domestic cities. Thus, the promotion plan supports the implementation path of the world's first-rate city power supply network.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"25 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":"133996609","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
An aggregation method of wind farms model for studying power system low frequency power oscillation 研究电力系统低频功率振荡的风电场模型聚合方法
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390571
J. Bi, W. Du, H. Wang
{"title":"An aggregation method of wind farms model for studying power system low frequency power oscillation","authors":"J. Bi, W. Du, H. Wang","doi":"10.1109/ICPRE.2017.8390571","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390571","url":null,"abstract":"An aggregation method to build the model of grid-connected wind farms consisting of double-fed induction generators (DFIGs) for studying power system low frequency power oscillation is presented. Firstly in this paper, the accurate dynamic model of a wind farm expressed in the form of transfer functions is derived based on the dynamic model of single DFIGURE Secondly, an estimation of impact of grid-connected wind farm on power system small-signal angular stability is established. The established estimation indicates the aggregation principle of dynamic model of wind farm for studying of power system low frequency power oscillations. The aggregation should ensure that the frequency response of aggregated model ought to be approximately equal to that of accurate dynamic model at the electromechanical oscillation frequencies of concerns. The dynamic model of a DFIG can be used as the aggregated dynamic model of wind farm by use of numerical fitting method based on the aggregation principle, which can reduce the calculation complexity in the power system small signal stability analysis. In the paper, an example 16-machine 68-bus power system with a grid-connected wind farm is presented.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"33 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":"130748295","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
An improved neural network method based on the differential evolution algorithm to predict the tidal level in the tidal power station 基于差分进化算法的改进神经网络方法预测潮汐能电站潮位
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390675
Ye Qiu, Chaoruo Zhang, Haiyan Yi, Zichao Guo
{"title":"An improved neural network method based on the differential evolution algorithm to predict the tidal level in the tidal power station","authors":"Ye Qiu, Chaoruo Zhang, Haiyan Yi, Zichao Guo","doi":"10.1109/ICPRE.2017.8390675","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390675","url":null,"abstract":"Numerous methods have been used to extract energy from the sea. The character of tidal level makes it possible to predict. In order to obtain the energy more effectively, a highly precious method is demanded to predict the tidal level. In this paper, a hybrid method which combines the traditional neural network method and the differential evolution algorithm is proposed. By using this method, the ability of the global search are improved and the optimal weight values and the threshold values can be calculated through the neural network algorithm. These approximate optimal values obtained from the differential evolution algorithm are trained in the neural network, thus a more accurate solution can be achieved. In the end of this issue, the tidal prediction model is verified by the tidal data of the Qingdao harbor. The experimental results prove the effectiveness of the proposed algorithm.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"1 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":"130869444","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
Hourly solar radiation forecasting using LS-based volterra filters 利用基于ls的伏特拉滤波器进行每小时太阳辐射预报
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390670
L. Ma, K. Khorasani, Y. Xiao, N. Yorino, F. Wahyudi
{"title":"Hourly solar radiation forecasting using LS-based volterra filters","authors":"L. Ma, K. Khorasani, Y. Xiao, N. Yorino, F. Wahyudi","doi":"10.1109/ICPRE.2017.8390670","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390670","url":null,"abstract":"In this paper, a new solar radiation (insolation) prediction method is proposed that uses the Volterra filter which is trained based on the least squares (LS) criterion. Only historical insolation data are used as input information to train the Volterra filter that consists of the first- and second-order kernels. The proposed method is applied to real datasets of hourly insolation data of four years (2012–2015), which were downloaded from the website of Japan Meteorological Agency. Extensive simulations demonstrate the forecasting superiority of the proposed method over the naive persistence model (NPM), the autoregressive (AR) model, and the feedforward neural network (FFNN) schemes. Furthermore, the proposed method requires much lower training cost as compared to the FFNNs.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"1 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":"134042339","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
Location specific weighted conversion efficiency coefficients for solar photovoltaic inverter using R 太阳能光伏逆变器的位置特定加权转换效率系数
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390667
K. Panwar, K. Agarwal, Satish Pandey
{"title":"Location specific weighted conversion efficiency coefficients for solar photovoltaic inverter using R","authors":"K. Panwar, K. Agarwal, Satish Pandey","doi":"10.1109/ICPRE.2017.8390667","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390667","url":null,"abstract":"Globally solar photovoltaic power generation business is increasing rapidly as it is a clean and green method for generating power. Solar photovoltaic inverter is main component of any solar photovoltaic power plant. Generated power and revenue is directly dependents upon the conversion ratio of DC to AC. whereas conversion ratio/efficiency further depends upon DC power level/Loading or solar irradiation and ambient temperature, which is different for all location. This paper deals with identifying new weighted coefficients for specific location for conversion efficiency calculation using R-language based model. Which will help in selecting suitable solar photovoltaic inverter leading to high annual generation and revenue.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"114 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":"134046884","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
Degradation state recognition of ultrasonic motor based upon locality preserving projection and support vector machine optimized by fruit fly optimization algorithm 基于保域投影和果蝇优化支持向量机的超声电机退化状态识别
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390509
Baiyan Chen, Hong-ru Li, Guoqing An
{"title":"Degradation state recognition of ultrasonic motor based upon locality preserving projection and support vector machine optimized by fruit fly optimization algorithm","authors":"Baiyan Chen, Hong-ru Li, Guoqing An","doi":"10.1109/ICPRE.2017.8390509","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390509","url":null,"abstract":"The cracking of piezoelectric ceramic components is one of the main failure pattern of ultrasonic motors. The degradation characteristics can be extracted effectively by monitoring the voltage signal of piezoelectric sensor. High dimensional feature vector contains a lot of redundant information due to dimension disaster. Locality preserving projection (LPP) can effectively reduce dimension on the degradation feature, which can fuse the high dimension feature. The parameters of support vector machine (SVM) have an important influence on the generalization ability of the model. Fruit fly optimization algorithm (FOA) has the advantages of few parameters, fast calculation speed, strong ability of global optimization and easy to implement. FOA is utilized to optimize SVM in this paper accordingly, and the optimized SVM by FOA (FOASvM) is applied in degradation state recognition of ultrasonic motor. Finally, the effectiveness of the proposed method is verified through the comparative analysis.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"45 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":"132380250","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
Computation of transient induced voltages along a wind turbine struck by lightning 风电机组遭雷击瞬时感应电压的计算
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390541
A. S. Zalhaf, Mahmoud A. Ahmed, S. Ookawara, M. Abdel-Salam
{"title":"Computation of transient induced voltages along a wind turbine struck by lightning","authors":"A. S. Zalhaf, Mahmoud A. Ahmed, S. Ookawara, M. Abdel-Salam","doi":"10.1109/ICPRE.2017.8390541","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390541","url":null,"abstract":"The number of wind farm installations is continuously increasing, since the early 1990s, as the wind energy is a clean source of electrical power. Wind turbine (WT) power plants are constructed at locations where wind speed exceeds the cut off value. At these locations, there is a high probability for the WT to be struck by lightning. A numerical method is proposed in this paper to determine the transient behavior of WT exposed to a lightning stroke. The work is aimed at proposing a model of WT for lightning transient analysis seeking determination of the temporal variation of the induced voltage along turbine blades, tower and grounding system. The blades of WT are simulated by a set of vertical segments. Also, the WT tower is split into a number of cylinders and each cylinder is simulated by a wire-grid composed of vertical segments. A coupled RLC network model of a WT along with the grounding system under the tower is developed to study the transient response of a WT exposed to lightning strokes. The WT grounding system is modeled by a ring supported by a set of vertical and horizontal rods following IEC 61400-24 standard. The propagation of the lightning impulse current along the blades and the tower is investigated by calculating the transient response of the RLC network through the solution of the describing circuit equations. In order to check the validity of the model, the obtained temporal variation of the induced voltage on WT components are compared and agreed reasonably with those reported in the literature. The calculated induced voltage values increase with the increase of the tower height and grounding resistance.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"49 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":"133272307","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
Low DC voltage control strategy of bipolar LCC-MMC hybrid HVDC transmission system 双极LCC-MMC混合直流输电系统低直流电压控制策略
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390521
Yijun Cai, Minghao Wen, Yu Chen, Yaguang Shi, Yu Qin
{"title":"Low DC voltage control strategy of bipolar LCC-MMC hybrid HVDC transmission system","authors":"Yijun Cai, Minghao Wen, Yu Chen, Yaguang Shi, Yu Qin","doi":"10.1109/ICPRE.2017.8390521","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390521","url":null,"abstract":"This paper investigates a bipolar hybrid high voltage direct current (HVDC) transmission system, the rectifier adopts line commutated converter (LCC) and the inverter adopts hybrid modular multilevel converter (MMC). The hybrid HVDC transmission system not only combines the advantages of LCC and MMC, but also has a strong capability to deal with AC or DC faults. This paper mainly studies the control strategy of the bipolar LCC-MMC hybrid HVDC transmission system when running at low DC voltage. For the traditional symmetric hybrid MMC, an improved control strategy is proposed to balance the voltages of the two seed modules, which significantly expands the operating DC voltage range of the system. Moreover, the topological structure of bipolar asymmetric hybrid MMC is designed and the control strategy when running at low DC voltage is presented. It is found that the DC voltage of the bipolar asymmetric hybrid MMC remains symmetric and can be adjusted freely. At last, the simulations based on PSCAD/EMTDC show the effectiveness of the proposed control strategy.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"636 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":"132049715","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
The value of accurate modeling of coal-fired units in promoting the use of wind power 燃煤机组精确建模对促进风电利用的价值
2017 2nd International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2017-09-01 DOI: 10.1109/ICPRE.2017.8390577
G. Wang, D. You, Li Dai, Suhua Lou, Jianqin Liu, Siwei Liu
{"title":"The value of accurate modeling of coal-fired units in promoting the use of wind power","authors":"G. Wang, D. You, Li Dai, Suhua Lou, Jianqin Liu, Siwei Liu","doi":"10.1109/ICPRE.2017.8390577","DOIUrl":"https://doi.org/10.1109/ICPRE.2017.8390577","url":null,"abstract":"The penetration of wind power is increasing rapidly in recent years. However, due to the shortage of sufficient flexible resources, high proportion of wind power curtailment has been a serious problem in some power systems. For the power systems mainly consisting of coal-fired units, coal-fired units may have to take more responsibility to accommodate the uncertainty of wind power. This paper evaluates the importance of accurate modeling of coal-fired units in exerting the flexibility of coal-fired units. A compact and accurate coal-fired unit model is presented in this paper, which considers the startup and shutdown power trajectories of the coal-fired units. The proposed model is applied to the stochastic unit commitment with large-scale wind power integration. Numerical simulations have verified that accurate modeling of coal-fired units can better schedule the flexible resources provided by coal-fired units and can thus promote the use of wind power.","PeriodicalId":123761,"journal":{"name":"2017 2nd International Conference on Power and Renewable Energy (ICPRE)","volume":"11 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":"134436673","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
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