2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)最新文献_第8页

The coordinated control of thermostatically controlled loads and energy storage considering the lock-out effect 考虑锁定效应的恒温控制负荷与储能协调控制

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8880933

M. Xia, Yuguang Song, Qifang Chen

引用次数: 0

Influence of Nozzle Expansion Angle on the Breaking Performance of Ultra-high Voltage SF6 Circuit Breaker 喷嘴膨胀角对超高压SF6断路器开断性能的影响

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881137

Hao Zhang, Yongqi Yao, Yujing Guo, Zhijun Wang, Bo Zhang, Yapei Liu, Yingqian Du

引用次数: 1

The Contrastive Analysis of Control of Microgrid Inverter 微电网逆变器控制的对比分析

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881283

Yaru Xu, Xiaoning Xu, Xiaonan Yang, Feng Han, Xuhan Wu, Yiping Yu

引用次数: 0

Research on Storage and Processing Method for Renewable Energy Big Data 可再生能源大数据存储与处理方法研究

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881713

Tie Li, Junci Tang, Feng Jiang, Xiaopeng Xu, Cheng Li, Tao Ding

引用次数: 0

Fault Diagnosis for HVDC System Based on Wavelet Entropy Clustering and DS Evidence Fusion Theory 基于小波熵聚类和DS证据融合理论的高压直流系统故障诊断

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881301

C. Xing, Keqiang Tai, Yuhong Wang, Mingqun Liu

{"title":"Fault Diagnosis for HVDC System Based on Wavelet Entropy Clustering and DS Evidence Fusion Theory","authors":"C. Xing, Keqiang Tai, Yuhong Wang, Mingqun Liu","doi":"10.1109/ISGT-Asia.2019.8881301","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881301","url":null,"abstract":"When an electrical accident happens, fault diagnosis of HVDC transmission system is the prerequisite step for isolating fault elements and restoring normal operation of the system, so an accurate and fast way of fault diagnosis is significant to improve the reliability of power system. Based on wavelet entropy clustering algorithm and DS evidence fusion theory, a new fault diagnosis method for HVDC system is proposed in this paper. This proposed method takes HVDC line voltage as monitoring variable and uses wavelet entropy to extract the features of the fault. Fault signals are clustered by fuzzy clustering algorithm considering the uncertainty and diversity of faults. Meanwhile, the norm weighted average is used to clear the allocation of basic reliability. The further precise classification of fault types is realized using DS evidence fusion and the decision-making method. The simulation model is built using both PSCAD/EMTDC and MATLAB software, and the correctness of the proposed method is verified by the two phase to ground fault on the AC side of the converter station.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116574992","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

Big Data in Power Systems: An Introduction to Julia Linear Models using Tensor Flow 电力系统中的大数据:Julia介绍使用张量流的线性模型

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881136

Ebby Thomas

{"title":"Big Data in Power Systems: An Introduction to Julia Linear Models using Tensor Flow","authors":"Ebby Thomas","doi":"10.1109/ISGT-Asia.2019.8881136","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881136","url":null,"abstract":"This paper proposes a set of tools to deal with high dimensional data that is often encountered in power systems. The tool set seems promising to network utilities, energy companies, data enthusiasts and others who are involved with the future planning, development, maintenance and operation of the power systems. The tool facilitates modelling and prediction based on Linear Model topology as well as variable screening based on user-discretion. Though the same tool set can be applied in a wide range of applications, here, as an example, the most significant variables that contribute to the energy consumption of a customer is obtained from among a pool of variables. Here, we put use to the immense data available in the power system paradigm, which, at the moment is not utilised to its full potential. The novelty of the paper is in using Julia and TensorFlow framework together in this dimensionality reduction. The training set input to the TensorFlow algorithm is utilised to establish a Linear Model and is later optimised to reduce the error through Gradient Descent optimisation. The final model is used to predict the energy usage, R-Squared values after every iteration is observed to give a flavor of variable screening process.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480179","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

A Reliability-based DG Planning Method against Ice Storm Weather 基于可靠性的冰暴天气DG规划方法

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881277

Chaofan Lin, Di Fang, Z. Bie, Liang Gao

引用次数: 2

A Simplified Model Prediction Control Method for PV Grid-Connected Inverter 光伏并网逆变器的简化模型预测控制方法

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881057

Zhenao Sun, W. Zheng, H. Du

{"title":"A Simplified Model Prediction Control Method for PV Grid-Connected Inverter","authors":"Zhenao Sun, W. Zheng, H. Du","doi":"10.1109/ISGT-Asia.2019.8881057","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881057","url":null,"abstract":"To optimize the control methods of PV grid-connected inverter, a simplified Model Prediction Control(MPC) method is proposed. Firstly, the second-order discretization mathematical model of grid-connected inverter control is established in the d-q coordinate system to find out the mathematical relationship between the controlled quantity and the input quantity and the related physical quantities involved in the calculation. Then, receding horizon optimization is performed according to the MPC method to obtain the physical quantity value. Since these physical quantities are approximately constant in a brief time, a batch update method can be adopted. The simulation experiments are carried out in the Simulink platform to verify the steady-state tracking effect of the method, the responses of slope function and step function. The simulation results show that the proposed method can achieve error- free tracking for steady-state function and slope function. The step function response has a fast response time and no overshoot, but there is A brief period of three-phase unbalanced time. Finally, a physical experiment platform is built, the method is solidified into a grid-connected inverter controller to be executed, and step function response verification is performed. The experiment results show that the proposed method can achieve steady- state error-free tracking, the dynamic corresponding speed is fast, and the overshoot is not obvious.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122993948","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

Comprehensive Stability Analyses for Hybrid AC/DC Microgrids with Multi-Paralleled Interlinking Converters under Distributed Control 分布式控制下多并联并联变流器混合交直流微电网综合稳定性分析

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881514

Pengfeng Lin, Jinyang Fang, Chi Jin, Jianfang Xiao, Jinyu Wang, Koh Leong Hai, Peng Wang, Choo Hoong

{"title":"Comprehensive Stability Analyses for Hybrid AC/DC Microgrids with Multi-Paralleled Interlinking Converters under Distributed Control","authors":"Pengfeng Lin, Jinyang Fang, Chi Jin, Jianfang Xiao, Jinyu Wang, Koh Leong Hai, Peng Wang, Choo Hoong","doi":"10.1109/ISGT-Asia.2019.8881514","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881514","url":null,"abstract":"Hybrid AC/DC microgrid (MG) is a promising electrical power system architecture that enables to harmonize AC and DC energy conversions. Due to the complicated configuration, comprehensive stability analyses for a complete hybrid MG still stand as an unsurmountable challenge. To address this issue, this paper decomposes the MG system into several electrical modules, i.e., an AC source, a DC source, multi-paralleled interlinking converters (ICs) and line impedances. These modules are first individually modeled in the small signal sense. They are then combined to establish a full autonomous mathematical expression for characterizing dynamics of the hybrid MG. To investigate MG system stability, the influences of diversified operating points, line impedances and the selected key control parameters are examined by evaluating eigenvalue loci of the derived mathematical model. Time-domain simulations reveal the perfect matching between the results given by Matlab/Simulink and eigenvalue loci plots.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114290335","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

Capacity Optimization of Battery Energy Storage System in Multi-energy Complementary System Based on Time Series Simulation Method 基于时间序列仿真的多能互补系统电池储能系统容量优化

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-01 DOI: 10.1109/ISGT-Asia.2019.8881502

Yuehui Huang, Pai Li, Weisheng Wang, Ling Dong

{"title":"Capacity Optimization of Battery Energy Storage System in Multi-energy Complementary System Based on Time Series Simulation Method","authors":"Yuehui Huang, Pai Li, Weisheng Wang, Ling Dong","doi":"10.1109/ISGT-Asia.2019.8881502","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881502","url":null,"abstract":"Constructing multi-energy complementary system is a promising way to promote the utilization of renewable energy. This paper proposes a novel method based on time series simulation technology to optimize capacity of battery energy storage system in the multi-energy complementary system with wind power, photovoltaic and concentrating solar power. An optimization model is established to maximize the equivalent uniform annual profit of the system with considering operation constraints of power plants and renewable energy curtailment rate. To make full use of complementary characteristics of the renewable energy, the power rating and battery storage capacity are then optimized coordinately based on hourly wind and solar power outputs in a year. Case studies are conducted on a multi-energy complementary system of China with wind power, photovoltaic, concentrating solar power and battery. Optimization results indicate that the proposed method can fully utilize the complementary characteristics and provide the optimal battery capacities. Sensitivity analyses also show that the proposed method can obtain the threshold of generation price for the project. Overall, the testing results verify the effectiveness and applicability of the proposed method.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295436","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