2022 5th International Conference on Renewable Energy and Power Engineering (REPE)最新文献_第2页

A Method for Modeling the Output Power of Photovoltaic Power Supplies Based on Non-parametric Kernel Density Estimation 基于非参数核密度估计的光伏电源输出功率建模方法

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949285

Wenbin Hao, Zhigao Meng, Peng Zeng, Boluo Xie, Jianhua Chen, Jiaqi Wei

引用次数: 0

Terminal Sliding-Mode Control of Grid-Side Converter of Wind Energy Conversion Systems in Unbalanced Grid 不平衡电网中风能转换系统网侧变流器终端滑模控制

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949377

Yong Feng, Tianyu Liu, Chen Xue, Fengling Han

引用次数: 0

Research on Coordinated Adjustment Method of System Protection and Communication System under the Typical Fault Scenarios 典型故障场景下系统保护与通信系统协调调整方法研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9950020

Ruihao Su, Chen Shen, Shaowei Huang, Xiaodan Cui, Jianbing Xu, Qi Yang

{"title":"Research on Coordinated Adjustment Method of System Protection and Communication System under the Typical Fault Scenarios","authors":"Ruihao Su, Chen Shen, Shaowei Huang, Xiaodan Cui, Jianbing Xu, Qi Yang","doi":"10.1109/REPE55559.2022.9950020","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9950020","url":null,"abstract":"With the rapid development of ultra-high voltage (UHV) inter-regional interconnected power grid and the wide application of a large number of power electronic devices, the security and stability characteristic of power grid is becoming more and more complex, and the risk of safe operation is increasing day by day. To further adapt to the power grid situation, in recent years, the State Grid Corporation of China has put forward the requirement of building a comprehensive security defense system for the large power grid, namely “system protection”. System protection is an emergency control system based on wide area information collection, rapid fault diagnosis and isolation, multi-resource collaboration, and other functions. It covers many sites and the coupling relationship between device strategies is complex. At the same time, due to the limitation of control resources, the cross configuration between strategies is gradually increasing, and the influence range of local system anomalies is becoming larger and larger. Its complexity and hidden dangers lead to a significant increase in the risk of power grid operation. At present, there is little literature on how to reduce the risk of power grid safe and stable operation caused by the failure of the system protection itself through effective coordinated adjustment. In this paper, a coordinated adjustment method based on typical expected fault scenarios of system protection is proposed. For typical expected fault scenarios of system protection with unacceptable risks, certain measures are taken in advance to reduce the possible risks to the power system.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115276893","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

Wind Turbine Rotor Fault Prediction Based on Convolutional Neural Network 基于卷积神经网络的风力发电机转子故障预测

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948980

Ming Yin, Kun Chen, Han Zhang, Gang Cao, Yingjun Shen, Zhe Song

{"title":"Wind Turbine Rotor Fault Prediction Based on Convolutional Neural Network","authors":"Ming Yin, Kun Chen, Han Zhang, Gang Cao, Yingjun Shen, Zhe Song","doi":"10.1109/REPE55559.2022.9948980","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948980","url":null,"abstract":"Condition monitoring and early deterioration trend prediction are important to reduce downtime and economic loss. In this paper, the status of wind turbine before downtime are classified into Normal, Risky and High-risk based on the time to the moment of failure. Vibration signal analysis techniques are applied in de-noising and feature engineering, suitable feature combination is selected for prediction models. We visualize the selected features as two-dimensional line charts, and the convolutional neural network (CNN) algorithm is used to predictive modeling. To verify the effectiveness of proposed method, the prediction scores of several classical machine learning algorithms are compared with the prediction scores of CNN. At the same time, considering that most evaluation indexes are static, which ignore the dynamic of online prediction. In this study, a time-series prediction ability evaluation index (TPAEI) is proposed to select a prediction model with small prediction error and good consistency. The effectiveness of the proposed method is verified by wind turbine rotor data sets.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123170123","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

Analysis of the Three-Dimensional Temperature Distribution and Ampacity of Forced Ventilation Multi-loop Cable Tunnel by Finite Element Method 强迫通风多环电缆隧道三维温度分布及容量有限元分析

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948817

Jing Wang, Chunsheng Wang, Shiyou Yang, Xia Qin

{"title":"Analysis of the Three-Dimensional Temperature Distribution and Ampacity of Forced Ventilation Multi-loop Cable Tunnel by Finite Element Method","authors":"Jing Wang, Chunsheng Wang, Shiyou Yang, Xia Qin","doi":"10.1109/REPE55559.2022.9948817","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948817","url":null,"abstract":"Cable tunnel in a multi-loop laying arrangement can improve the underground space utilization. Forced ventilation is an effective measure to increase the ampacity of the cables in such application, ensuring the safe and reliable operation of the cable. However, the commonly used IEC-60287 standard for ampacity computation is an analytical method based on ideal models and simplified conditions without considering the three-dimensional distribution of a physical field. In this respect, this paper establishes a three-dimensional coupled multi-physics field model, and solves the distributions of the temperature field and fluid field in the long-distance cable tunnel based on the finite element method. Also, the paper studies the variation law of the cable temperature field under the forced ventilation and its influence on the ampacity. The results show that in the forced ventilation, the air velocity and temperature are the key factors affecting the ampacity. Higher air velocity is conducive to heat dissipation in the tunnel, effectively increasing the ampacity. The higher the air temperature is, the less heat is dissipated in the tunnel, and the more decreased corresponding ampacity.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"57 s71","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113957202","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

Load Balance and Recovery Optimization of Distribution Network Based on Binary Particle Swarm Optimization Algorithm 基于二元粒子群算法的配电网负荷均衡与恢复优化

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949166

Chen Ren, Jian Zhou, Xiangyi Xu, Weiyun Mao, Yuhui Ma, Bin Wang

{"title":"Load Balance and Recovery Optimization of Distribution Network Based on Binary Particle Swarm Optimization Algorithm","authors":"Chen Ren, Jian Zhou, Xiangyi Xu, Weiyun Mao, Yuhui Ma, Bin Wang","doi":"10.1109/REPE55559.2022.9949166","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949166","url":null,"abstract":"With the rapid increase of electricity load, the distribution network is prone to line load imbalance or even power outage faults caused by line damage during operation, so it is extremely important to optimize the load balance of the distribution network and ensure the stable operation of the power grid. Firstly, in this paper, when the load is unbalanced, a line load balancing strategy for the reconstruction of the distribution network with network loss and load balance index as the optimization goals is proposed to maintain the line load balance while ensuring the economy. Further, considering the power failure caused by line damage, a node load recovery strategy for the reconstruction of the distribution network with additional consideration of node voltage drop and minimization of power loss load is proposed to ensure the balance of line load and the improvement of power quality while maximizing the recovery load. Finally, the above optimization model is solved by using the binary particle swarm optimization algorithm based on split-loop substitution, and the simulation is verified on the IEEE-33 node model, which shows that the proposed algorithm can balance the line load well, and in the event of power failure, the lost power load can be restored to the greatest extent, which greatly improves the operational toughness of the power grid.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122646791","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 Transferable Load Management Contract Model Based on Mechanism Design Theory 基于机制设计理论的可转移负荷管理契约模型

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948920

LiaoYi Ning, Yu Liu, Yilin Jia

{"title":"A Transferable Load Management Contract Model Based on Mechanism Design Theory","authors":"LiaoYi Ning, Yu Liu, Yilin Jia","doi":"10.1109/REPE55559.2022.9948920","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948920","url":null,"abstract":"in the electricity market environment, the information asymmetry between power grid companies and users may lead to the inefficient planning and implementation of demand response (DR) projects. Therefore, this paper proposes a transferable load management contract model based on mechanism design theory to improve the flexibility and operability of users with transferable load to participate in day-ahead scheduling of power system. In this model, the user type parameter is introduced to describe the user's willingness to participate in the transferable load management contract, the rational behavior of the user participating in the contract transaction is reflected by the personal rational constraint, and the incentive compatibility constraint is used to urge the user to report the real type parameter in the transaction process. Under this mechanism, according to the type of users reported by the users, the power grid company uses the incentive mechanism to encourage users to actively participate in load transfer, and restricts the response behavior of users through the form of contract, which can reduce the uncertainty of the implementation of demand response and improve the economy and environmental protection of the power grid operation. In this paper, through the analysis of a numerical example, it is verified that the mechanism can effectively stimulate the potential of user transfer load, realize the optimal allocation of transferable load, which is beneficial to reduce the economic cost of the system, reduce carbon emissions, and improve the overall social benefits.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125540534","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

Performance Optimization of Air Cooling Battery Thermal Management System Based on Structure Design 基于结构设计的风冷电池热管理系统性能优化

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949345

Xinyue Zhang, Xueliang Fan

引用次数: 0

Analysis of Subsynchronous Oscillation Mechanism and Its Influencing Factors in Large-scale Photovoltaic Series Compensation System 大型光伏串联补偿系统的次同步振荡机理及影响因素分析

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949246

Xianggang He, Rui Peng, Rui Ma, Wanqi Huo, Y. Sun, Jiaxin Yan

{"title":"Analysis of Subsynchronous Oscillation Mechanism and Its Influencing Factors in Large-scale Photovoltaic Series Compensation System","authors":"Xianggang He, Rui Peng, Rui Ma, Wanqi Huo, Y. Sun, Jiaxin Yan","doi":"10.1109/REPE55559.2022.9949246","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949246","url":null,"abstract":"With the rapid development of new energy power generation, the installed capacity of photovoltaic power generation continues to increase in the proportion of power supply in the power system. In order to realize large-scale long-distance transmission of photovoltaic power generation, it is planned to adopt series compensation capacitor (hereinafter referred to as “series compensation”) transmission technology to transmit large-scale photovoltaic power generation to the load center. However, there is a risk of inducing subsynchronous oscillation in the dynamic interaction between series compensation line and photovoltaic grid connected inverter. The specific mechanism of sub synchronous oscillation in the interaction between series compensation line and photovoltaic grid connected inverter has not been clear. In order to ensure the stable operation of large-scale photovoltaic power generation bases, it is urgent to reveal the specific mechanism of sub synchronous oscillation of the interaction between large-scale photovoltaic power generation and series compensation lines. In view of the above problems, this paper applies the small signal analysis method and time-domain simulation analysis method to study the mechanism of sub synchronous oscillation of large-scale photovoltaic and series compensation lines, and carries out simulation verification. Finally, the equivalent model of photo voltaic power station is built in PSCAD/EMTDC platform, and its accuracy is verified by simulation.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"56 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633888","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

Robust Resilience-Oriented Management Model of Integrated Energy Systems with Random Outages 随机停电综合能源系统鲁棒弹性管理模型

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948856

Weifeng Xu, Bin Yu, L. Weng, Guohua Zhou, Deqiang Lian, Xiaowei Zhu, Yanqiu Hou

引用次数: 0