2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)最新文献_第5页

Research and Application of Current Output Type Additional Controller in Photovoltaic Grid-connected Power Generation System 电流输出型附加控制器在光伏并网发电系统中的研究与应用

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759762

Chang Ye, Shaorong Wang, Jue Hou

引用次数: 0

Numerical Simulation of Water Droplet Impact on Composite Insulator under DC Electric Field 直流电场作用下水滴冲击复合绝缘子的数值模拟

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759709

Chao Liu, H. Hou

引用次数: 0

An Online Detection Method of Short Circuit for Battery Packs 电池组短路在线检测方法研究

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759669

Hongzhong Ma, Qifan Yang

引用次数: 0

Data-Driven Comprehensive Evaluation Model Based on the Radar Chart for the Operating State of XLPE Cables 基于雷达图的交联聚乙烯电缆运行状态数据驱动综合评估模型

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759675

Taonan Tang, Song Wang, Zhiyong Wang, Yanxia Chen, Yu Wen

引用次数: 0

Analysis of Deep Depletion Effect in SOI LDMOS Substrate with Numerical Simulation SOI LDMOS衬底深损耗效应的数值模拟分析

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759725

Jian Wu, Xiaoming Yang, Tianqian Li, Baiqiang Li, Zhiguo Yang

引用次数: 0

Based on Vector Proportional Integral (VPI) Control of Brushless Doubly Fed Induction Generator under Load Imbalance 负载不平衡下基于矢量比例积分(VPI)的无刷双馈感应发电机控制

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759792

Zhongsong Zhang, Debin Zhang, Jijun Ma, Honglin Lu, Yaqin Zhou, Zhenzhen Xie

{"title":"Based on Vector Proportional Integral (VPI) Control of Brushless Doubly Fed Induction Generator under Load Imbalance","authors":"Zhongsong Zhang, Debin Zhang, Jijun Ma, Honglin Lu, Yaqin Zhou, Zhenzhen Xie","doi":"10.1109/AEEES54426.2022.9759792","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759792","url":null,"abstract":"Compared with the doubly-fed induction generator (DFIG), the brushless doubly-fed induction generator (BDFIG) with the high reliability and low maintenance cost due to the cancellation of slip rings and brushes, having broad application prospects. The diversity and complexity of the load in the power generation system greatly cause the load imbalance when the system operations under stand-alone mode, resulting in the decrease of the system stability. This paper presents the vector proportional integral (VPI) strategy for imbalance problems of BDFIG. First, the positive and negative sequence current inner-loop and voltage outer-loop are obtained in their respective coordinate systems when load imbalance faults occur; Second, the vector proportional integral control is analyzed and designed in detail for compensating the load imbalance faults; Finally, the negative sequence component can be suppressed by the VPI control in order to achieve the balance control of output voltage when the load imbalance faults occur, which will significantly improve the stability of the system.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"2011 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114087367","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 Construction Method of Electric Power Professional Domain Corpus Based on Multi-model Collaboration 基于多模型协作的电力专业领域语料库构建方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759620

Ke Zhang, Wengan Chen, Hongtao Zai, Hongying He, XiHao Yin, Diansheng Luo

{"title":"A Construction Method of Electric Power Professional Domain Corpus Based on Multi-model Collaboration","authors":"Ke Zhang, Wengan Chen, Hongtao Zai, Hongying He, XiHao Yin, Diansheng Luo","doi":"10.1109/AEEES54426.2022.9759620","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759620","url":null,"abstract":"This paper proposes a method for constructing a corpus in the electric power field based on multi-method collaboration. Aiming at avoid the disadvantage of the excessive small granularity of the words segmentation results by Jieba word segmentation method which cause the incorrectly split of the words, TF-IDF method is used to extract keywords from the Jieba word segmentation results. An improved information entropy word combination method and TextRank method are applied to make word associations from the Jieba word segmentation results to form new phrases. For the information entropy word segmentation method uses strict phrases forming rule, which may cause the number of words formed decrease, all the word segmentation results of the above methods are collected to establish a relatively complete set of candidate words. Then, an improved word2vec clustering algorithm is presented to cluster electric power professional words and remove non-electric power words. Through the above-multi-method collaborative algorithm, a more comprehensive electric power professional field corpus is finally established. Compared with the Jieba word segmentation method, information entropy word combination algorithm (IEWCA), information entropy word segmentation algorithm (IEWSA), the experimental results prove that the electric power professional field corpus constructed by the presented method in this paper is more accurate and with richer vocabulary.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116054832","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

A Novel Graph Reinforcement Learning Approach for Stochastic Dynamic Economic Dispatch under High Penetration of Renewable Energy 高可再生能源渗透率下随机动态经济调度的图强化学习新方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759565

Peng Li, Wenqi Huang, Z. Dai, Jiaxuan Hou, Shang-bing Cao, Jiayu Zhang, Junbin Chen

{"title":"A Novel Graph Reinforcement Learning Approach for Stochastic Dynamic Economic Dispatch under High Penetration of Renewable Energy","authors":"Peng Li, Wenqi Huang, Z. Dai, Jiaxuan Hou, Shang-bing Cao, Jiayu Zhang, Junbin Chen","doi":"10.1109/AEEES54426.2022.9759565","DOIUrl":"https://doi.org/10.1109/AEEES54426.2022.9759565","url":null,"abstract":"Due to the fast development of new-type power systems, the power grid is facing increasing uncertainties brought by high penetration of distributed generations. How to improve the decision quality of economic dispatch under such conditions becomes a very crucial task. Therefore, a novel graph reinforcement learning (GRL) approach for dynamic economic dispatch under high penetration of renewable energy is proposed. Compared with other reinforcement learning method, a novel graph-based representation of system state is adopted. Thus, the implicit correlations of uncertainties considering system topology can be more effectively captured. As a fully model-free method, the proposed methodology does not rely on the explicit models of physical system and uncertainty distributions. The asymptotic optimal policy can be obtained by continuous interaction with the environment. Case simulations illustrate that the proposed method achieves a better performance in terms of optimality and efficiency compared with existing learning methods.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115123724","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 GRU-Based Short-Term Multi-energy Loads Forecast Approach for Integrated Energy System 基于gru的综合能源系统短期多能负荷预测方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759769

Chaoqun Lu, Jian Li, Guangdou Zhang, Zixuan Zhao, Olusola Bamisile, Qi Huang

引用次数: 0

Resilience Enhancement Planning Method for Distribution Systems Based on Key Nodes Identification 基于关键节点识别的配电系统弹性增强规划方法

2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2022-03-25 DOI: 10.1109/AEEES54426.2022.9759405

Lei Liu, Xin-wei Lu, Xiaoting Yang, Xiaoqiang Ma, Jianchun Xu, Qi Zhao

引用次数: 0