2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)最新文献_第2页

Research on Fault Identification and Diagnosis Technology of Substation Distribution Transformer Based on Improved Genetic Algorithm 基于改进遗传算法的变电站配电变压器故障识别与诊断技术研究

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738696

Wenchuan Sun, Diantao Shen, Yi Wang, Z. Wu, Chen Qiu, Le Fu

{"title":"Research on Fault Identification and Diagnosis Technology of Substation Distribution Transformer Based on Improved Genetic Algorithm","authors":"Wenchuan Sun, Diantao Shen, Yi Wang, Z. Wu, Chen Qiu, Le Fu","doi":"10.1109/CPEEE54404.2022.9738696","DOIUrl":"https://doi.org/10.1109/CPEEE54404.2022.9738696","url":null,"abstract":"In this paper, a fault identification and diagnosis method of substation distribution transformer based on improved genetic algorithm was proposed. Firstly, the improved image recognition technology was used to extract the features of the collected images, and then the color and texture features of the feature images were extracted. The improved genetic algorithm was used to obtain the optimal weight value to further realize the fault identification and diagnosis of substation distribution transformer. What's more, the improved image recognition technology and the improved genetic algorithm were compared and verified, respectively. The results show that the improved image recognition technology can visually and intuitively display the abnormal conditions of equipment fault points, and can clearly reflect the essential characteristics of the images. The fault diagnosis accuracy of the improved genetic algorithm does not change with the increase of fault samples, and the accuracy can reach 97.5%. Finally, the fault identification and diagnosis system of substation distribution transformer was constructed and applied. The results show that based on the improved genetic algorithm, the error rate of the system is basically stable at about 0.8%, and can quickly approach the stable state. It has the advantages of short state adjustment time and fast adjustment speed.","PeriodicalId":438265,"journal":{"name":"2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114760000","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

Data-Driven Risk Assessment Early-Warning Model for Power System Transmission Congestions 电力系统传输拥塞数据驱动风险评估预警模型

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738719

Qiang Zhang, Xinwei Li, Xiaoming Liu, Chen-Xu Zhao, Renwei Shi, Z. Jiao, J. Liu

{"title":"Data-Driven Risk Assessment Early-Warning Model for Power System Transmission Congestions","authors":"Qiang Zhang, Xinwei Li, Xiaoming Liu, Chen-Xu Zhao, Renwei Shi, Z. Jiao, J. Liu","doi":"10.1109/CPEEE54404.2022.9738719","DOIUrl":"https://doi.org/10.1109/CPEEE54404.2022.9738719","url":null,"abstract":"With the continuous development of renewable energy in modern power systems, the balance between the power supply and demand side become more volatile, which may cause potential power system transmission congestions. Traditional risk assessment in the power system static security analysis area always uses the power flow model-based method, which cannot address all the possible operation scenarios. Therefore, a novel machine learning (ML) based data-driven risk assessment model for early-warning of power system transmission congestion is proposed in this paper. The proposed model can make full use of the power system historical operation data as well as the measurement of the current time step, which can be used in real-time for early-warning of the power system transmission congestion in advance. A feature selection method called Max-Relevance and Min-Redundancy (mRMR), is adopted to reduce the calculation burden of the ML model. Numerical tests are performed on a regional power grid of France. The proposed data-driven risk assessment model can accurately predict the risk conditions under normal operation, single and multiple component outage scenarios, over 93.3%. The result validates that our model can be used for real-time early-warning of power system transmission congestions.","PeriodicalId":438265,"journal":{"name":"2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115105220","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: 3

Integrated Energy System Regional Grid Energy Storage Auxiliary Frequency Regulation and Energy Storage Configuration Method 综合能源系统区域电网储能辅助调频与储能配置方法

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738667

Shuai Qin, Shifeng Shi, Junyao Wang, Chen Yang, Qing Zou, Jiduo Qiu, Ying Gao, Xinyuan Zhu, Jiaxi Wang, Qingguang Yu

{"title":"Integrated Energy System Regional Grid Energy Storage Auxiliary Frequency Regulation and Energy Storage Configuration Method","authors":"Shuai Qin, Shifeng Shi, Junyao Wang, Chen Yang, Qing Zou, Jiduo Qiu, Ying Gao, Xinyuan Zhu, Jiaxi Wang, Qingguang Yu","doi":"10.1109/CPEEE54404.2022.9738667","DOIUrl":"https://doi.org/10.1109/CPEEE54404.2022.9738667","url":null,"abstract":"In recent years, the large-scale promotion of new energy technologies and electric vehicles, the continuous development of energy storage technology, the rapid decline in the cost of energy storage, plus the value of energy storage for increasing the power system's peak and frequency regulation capacity and spatial flexibility in time has a very significant role, the promotion of energy storage in the power system will certainly be the future trend. At the system level in the integrated energy region, the overall control strategy for energy storage assisted frequency regulation can be divided into a control strategy where energy storage is involved in primary frequency regulation alone and a compensating control strategy where the energy storage output is adjusted according to the unit output. At the device level in the integrated energy area, the voltage and current double closed-loop control strategy and the PQ control strategy are used to achieve precise control of the overall input and output power of the energy storage system according to the circuit structure of the bi-directional DC/DC converter and inverter and the physical constraints of the control object.","PeriodicalId":438265,"journal":{"name":"2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124076200","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

Scheduling Optimization Strategy for Communication Queues of Adjustable Load Interactive Services 可调负载交互服务通信队列调度优化策略

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738702

L. Li, Chaoliang Wang, Y. Du, Bin Li

引用次数: 1

Optimization of Generator Dispatching Model Considering Load Demand Response Resources 考虑负荷需求响应资源的发电机调度模型优化

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738678

Jie Ji, Mingliang Liang, Changzheng Gao, Fuqiang Li, Yuhan Liu, Y. Guo

引用次数: 0

Research and Application of Ultrasonic Stress Detection Method for Insulation Defects of High Voltage Switchgear 高压开关柜绝缘缺陷超声应力检测方法的研究与应用

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738695

Jing Zhang, Jian Zheng, Ang Lv, Guofeng Sun, Zhimin Liang, Hao Gao, Yanqing Wang

引用次数: 0

Joint Dispatch of Peak Shaving and Frequency Response Considering Large-scale Electrochemical Energy Storage on the Grid Side 考虑电网侧大规模电化学储能的调峰与频响联合调度

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738710

Xiaoyu Zhou, Rao Liu, Fuzeng Bao, Yannan Chang, Y. Ba, Weidong Li

引用次数: 1

Design and Characteristic Analysis of Microgrid and Mobile Energy Storage Link 微电网与移动储能链路的设计与特性分析

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738703

Zhihai Tao, Shumin Sun, Xinbin Zuo, Shiyan Gao

引用次数: 0

Research on Application Value of Regenerative Electric Heating Load Based on Big Data Classification 基于大数据分类的蓄热式电热负荷应用价值研究

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738673

Liangdong Qin, Zhiyong Chen, Xiaoguang Qi, Changzheng Gao, Yuhan Liu

引用次数: 0

Study on Switching Overvoltage of 500kV Hydropower Station with GIL Outgoing Line 500kV水电站GIL出线开关过电压的研究

2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE) Pub Date : 2022-02-25 DOI: 10.1109/CPEEE54404.2022.9738655

Ren Hongtao, Shi Xiaoyan

{"title":"Study on Switching Overvoltage of 500kV Hydropower Station with GIL Outgoing Line","authors":"Ren Hongtao, Shi Xiaoyan","doi":"10.1109/CPEEE54404.2022.9738655","DOIUrl":"https://doi.org/10.1109/CPEEE54404.2022.9738655","url":null,"abstract":"Due to the special location of hydropower station, it is often necessary to transfer electric energy to the outdoor switch station through a long gas insulated transmission line (GIL). Therefore, transient overvoltage will be formed in the operation process, which will affect the safe operation of the primary equipment connected with it, especially the transformer. In order to quantify the switching overvoltage of main transformer in hydropower station with Gil outgoing line, the distributed parameter model is established by using the electromagnetic transient analysis software ATP-EMTP. The influence of equipment operation, the number of outgoing lines, the length of connecting pipeline between transformer and Gil line, and the distance between arrester and high voltage winding on the switching overvoltage of main transformer in hydropower station with Gil outgoing line is simulated, the characteristics of switching overvoltage of main transformer are obtained. The analysis shows that the wave refraction and reflection during GIS operation is the main reason for the rise of switching overvoltage, and the overvoltage assessment should be carried out for the hydropower station with Gil outlet with complex structure.","PeriodicalId":438265,"journal":{"name":"2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768122","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