2020 5th International Conference on Power and Renewable Energy (ICPRE)最新文献

Three-Level Neutral-Point-Clamped Enhanced Quasi-Z-Source Inverter 三电平中点箝位增强型准z源逆变器

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233129

Cheng Qiming, Zhao Miaozhen, S. Yuying, P. Peng, Zhai Denghui, Peng Daogang

引用次数: 0

Design and Test Analysis of Surge Protective Device Based on Special Industrial Control Signal Acquisition Card 基于专用工控信号采集卡的浪涌保护装置设计与试验分析

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233164

Huahui Chen, Hongke Tang, Yang Zhao

引用次数: 0

Detection Method of Combustion Instability in Combustion Chamber of Gas Turbine 燃气轮机燃烧室燃烧不稳定性检测方法

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233287

Li Wei, Huang Wei

引用次数: 0

Classification and Identification of Power Quality in Distribution Network 配电网电能质量的分类与识别

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233147

Peng Zhang, Q. Feng, Ran Chen, Dalong Wang, Lijia Ren

引用次数: 2

Consumer Engagement in Virtual Power Plants through Gamification 通过游戏化，消费者参与虚拟电厂

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233110

Behnaz Behi, A. Arefi, P. Jennings, A. Pivrikas, Arian Gorjy, J. Catalão

引用次数: 5

A Hybrid Short-Term Load Forecasting Model Based on Sparse Attention Mechanism 基于稀疏注意机制的混合短期负荷预测模型

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233285

Jinchuan Cai, L. Jia

{"title":"A Hybrid Short-Term Load Forecasting Model Based on Sparse Attention Mechanism","authors":"Jinchuan Cai, L. Jia","doi":"10.1109/ICPRE51194.2020.9233285","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233285","url":null,"abstract":"In the electricity market environment, an efficient and accurate load forecasting model plays a vital role in the operation and dispatch of the power grid system. However, the deep learning method represented by the recurrent neural network is difficult to capture the effective features of mixed time pattern sequences, and there is a problem of important information loss when the sequence is too long. To solve this problem, we propose a short-term load forecasting model of TCN (temporal convolutional network)-GRU (gated recurrent unit) based on the sparse attention mechanism. This model utilizes the sparse attention GRU network to capture the node features of different time patterns and highlight their importance and then uses TCN's causal dilated convolution operations to extract long-term temporal features of the sequence. Finally, the proposed model integrates two captured feature information to complete the load forecast. Taking the public data set of a certain area in Australia and the load data of a certain area in Shanghai, China as examples, we compare this model with the typical model respectively. The results show that the proposed model has higher prediction accuracy and model robustness.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227580","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

Study on Evaluating the Transient Electromagnetic Field Caused by Different Lightning Stroke Modes Using FEM Method and Circuit Method 用有限元法和电路法评估不同雷击方式引起的瞬变电磁场的研究

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233237

Huahui Chen, S. Lin, Hongke Tang, Yang Zhao

引用次数: 0

Identification of Fault Line Selection and Section for Single-Phase Ground Fault in Small Current Grounding System 小电流接地系统单相接地故障选线和故障区段的识别

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233228

Kaiji Liao, Yuefang Du, Keyu Dong, Haoyang Fan, Xihao Zhao

{"title":"Identification of Fault Line Selection and Section for Single-Phase Ground Fault in Small Current Grounding System","authors":"Kaiji Liao, Yuefang Du, Keyu Dong, Haoyang Fan, Xihao Zhao","doi":"10.1109/ICPRE51194.2020.9233228","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233228","url":null,"abstract":"The fault characteristics of the small current grounding system are not obvious when the fault occurs. Currently, it is hard to accurately select and locate the ground fault in the small current grounding system. Therefore, in this paper, a scheme of fault grounding line selection and location is proposed based on the characteristic of the zero-sequence current matrix. As the zero-sequence current phase always lags behind the zero-sequence voltage when the amplitude of zero-sequence current increases. Based on this, we developed a State Matrix S. It can effectively reflect the degree of each region that is affected by the fault. Based on the State Matrix S, we can draw out the regional fault state value through a formula we created to quantify the influence of fault. Fault line selection and ground fault location can be accurately measured by calculating and comparing the regional fault state value of each region. The scheme proposed in this paper applies to a variety of the small current grounding system. The effectiveness and reliability of this scheme have been amply demonstrated through PSCAD/EMTDC simulations and experiments.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132409857","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

Research on Cooperative Optimal Dispatching Strategy of PV-Storage-Charging-Swapping Integrated Station Based on Particle Swarm Optimization 基于粒子群优化的pv - storage - charging - swap综合站协同优化调度策略研究

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233128

D. Peng, Lijie Jia, Hao Zhang, K. Qi, S. Shi, Chen Fang, Haojing Wang, Xiuchen Jiang, Guojie Li

{"title":"Research on Cooperative Optimal Dispatching Strategy of PV-Storage-Charging-Swapping Integrated Station Based on Particle Swarm Optimization","authors":"D. Peng, Lijie Jia, Hao Zhang, K. Qi, S. Shi, Chen Fang, Haojing Wang, Xiuchen Jiang, Guojie Li","doi":"10.1109/ICPRE51194.2020.9233128","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233128","url":null,"abstract":"The establishment of an integrated charging station with PV, energy storage and battery swapping not only meets the different charging and replacement needs of electric vehicle users, but also takes into account the economic benefits of the charging station operating company and the safety of the power grid. In this paper, by analyzing the electrical structure and operation mode of the integrated charging station, and establishing the operation model of each system, this paper proposes a collaborative optimization Dispatching strategy that aims at the minimum operating cost of the integrated charging station, using particle swarm optimization (PSO) algorithm to solve the problem, and optimize the grid and energy storage output plan according to the relevant constraints and combined with the grid power price and electric vehicle charging and replacement demand and other relevant predicted values, thereby reducing the operating cost of the integrated charging station and reducing the load of the charging station peak-valley difference.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131524988","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

Characteristic Analysis and Test Method of Pre-arc Seconds Characteristic of 12kV Drop-out Fuse 12kV漏电熔断器弧前秒特性分析及试验方法

2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233223

Jin Yuanyuan, Wang Feiming, Cheng Hui, Liang Xingyu, Li Bing, G. Baohong

{"title":"Characteristic Analysis and Test Method of Pre-arc Seconds Characteristic of 12kV Drop-out Fuse","authors":"Jin Yuanyuan, Wang Feiming, Cheng Hui, Liang Xingyu, Li Bing, G. Baohong","doi":"10.1109/ICPRE51194.2020.9233223","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233223","url":null,"abstract":"The 12kV drop-out fuse pre-arc time-current characteristic test is an important method to verify the quality of the fuse and the reliability of the fuse breaking. This paper summarizes the technical requirements of domestic and foreign test standards, combines test experience, analyzes the impact of test methods on product performance parameter test results, and gives test technical solutions and test standards. The results show that the reading value of the test current is the effective value of the full waveform of the test current, the expected current value is controlled within the range of -5% to + 5% of the target current value, and the test error meets the pre-arc time-current characteristic detection requirements; during the test process The current should be reasonably compensated according to the current attenuation to ensure that the current attenuation rate is less than 10%. The research results are a summary of the pre-arc time-current characteristic test schemes and standards for 12kV drop-out fuses, and have important practical guiding significance for improving the quality level of distribution fuses.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132704899","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