2021 China International Conference on Electricity Distribution (CICED)最新文献_第10页

Real-time metering data collection for industrial and commercial users 用于工业和商业用户的实时计量数据采集

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556845

Ying Sun, Ying Zhao, Zhipeng Su, Haitong Gu, Jie Xiong

引用次数: 0

Modeling and Simulation of IEC 61850 for Protection and Control in Smart Power Distribution System based Wireless Communication Network 基于无线通信网络的智能配电系统保护与控制IEC 61850的建模与仿真

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556772

Xingyan Liu, Long Yuan, Nan Ning, Kaiyan Pan, Qian Lv, Haibin Xin

{"title":"Modeling and Simulation of IEC 61850 for Protection and Control in Smart Power Distribution System based Wireless Communication Network","authors":"Xingyan Liu, Long Yuan, Nan Ning, Kaiyan Pan, Qian Lv, Haibin Xin","doi":"10.1109/CICED50259.2021.9556772","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556772","url":null,"abstract":"Recently, with the rapid development of wireless communication technology and the publishing of IEC 61850 in power system, protection and control application with wireless communication scheme for smart power distribution system have been promoted. Even though the interoperability issues of wireless communication between different intelligent electronic devices (IEDs) from different venders have been solved, the overall performance evaluation and the extensibility of networking strategy for IEC 61850 wireless communication scheme remain unresolved. In this paper, a modeling of IEC 61850 for protection and control in smart power distribution system based wireless communication network using the OPNET Modeler is implemented, including information flow model and IED model. These configurable wireless communication models make it easy to establish IEC 61850 WLAN wireless communication network for communication-assisted protection and control design and evaluation in smart power distribution system. Technical approaches to evaluate the overall performance such as end-to-end delay, throughout, packet loss rate, etc. are also provided in this paper considering different engineering scenes. In the way, the speed and the reliability of IEC 61850 WLAN wireless communication network can be analyzed quantitatively.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"1230 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120970267","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

Electricity decomposition method of mid-long term inter-provincial physical contract based on abandoned water control 基于弃水治理的中长期跨省实物合同电分解方法

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556678

Xiangrui Liu, Maolin Zhang, M. Xie

{"title":"Electricity decomposition method of mid-long term inter-provincial physical contract based on abandoned water control","authors":"Xiangrui Liu, Maolin Zhang, M. Xie","doi":"10.1109/CICED50259.2021.9556678","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556678","url":null,"abstract":"The West-East Electricity Transfer (WEET) contract that transported electricity from Yunnan province to Guangdong province in China is a typical mid-long term contract that needs to be decomposed and physically delivered. In the future, spot market will be established, the scientific and reasonable mid-long term physical contract decomposition can not only discover the true value of transported power, but also avoid adverse effects of frequent temporary curves adjustment in the market. In this paper, by establishing a mid-long term inter-provincial contract power decomposition optimization model that utilizes the total amount of abandoned water and the proportion of abandoned water power as the optimization goal, the power curve decomposition from month to day and then from day to hour is realized, and the daily delivery is designed. The rolling optimization method of the model that is delivered day by day is established, and the complete framework protocol power decomposition delivery process is combed out. Finally, the mixed integer linear programming method is used to verify the model by taking the mid-long term physical contract power decomposition of the IEEE-39 node system including cascade hydropower as a case study. The results show that this model has a significant improvement over the traditional model in terms of abandoned water control and power decomposition accuracy.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328440","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

Optimization Method of Active Rush-Repair for Distribution Network Based on the “Marketing-Distribution-Dispatch” Integrated Rush-repair Network 基于“销售-配送-调度”综合抢修网络的配电网主动抢修优化方法

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556753

Shihua Zhao, Zong Guo, Fengyu Wu, Bin Fu, Jiarui Li, Hongbo Lian, Yi Hu, Renjie Dai, Yang Chen

{"title":"Optimization Method of Active Rush-Repair for Distribution Network Based on the “Marketing-Distribution-Dispatch” Integrated Rush-repair Network","authors":"Shihua Zhao, Zong Guo, Fengyu Wu, Bin Fu, Jiarui Li, Hongbo Lian, Yi Hu, Renjie Dai, Yang Chen","doi":"10.1109/CICED50259.2021.9556753","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556753","url":null,"abstract":"at present, the rush-repair schedule of distribution network becomes an important factor which affects the reliability of power grid.The four problems that affect the process of rush-repair are as follows: 1) Failure to receive complete failure information; 2) Fault diagnosis depending on personal experience; 3) The process of dispatching is cumbersome; 4) Lack of experience summary after rush-repair. The above factors affect the fault judgment of dispatchers, slowing down the command response speed and prolonging the rush-repair progress and outage time of power failure.To solve the above problems, this research is put forward. An active rush-repair strategy based on association relation method is proposed. An intelligent fault diagnosis based on BP algorithm is proposed. To optimize the process of dispatching command, \"Marketing-Distribution-Dispatch-Repair\" rush-repair database is proposed. The case analysis shows that the research plays a positive role in the rapid judgment of fault causes, the acceleration of rush-repair command speed and the shortening of fault outage time. This research will help to improve the power supply reliability of power grid.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123055331","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

Real Time Simulation Test Platform for Distribution Network Coordinated Control 配电网协调控制实时仿真测试平台

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556778

Ling Wanshui, L. Gang

引用次数: 0

Automatic identification of power quality signal of distribution network based on HHT and RVM 基于HHT和RVM的配电网电能质量信号自动识别

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556751

Tianying Chen, Yuhao Zhao, Tiecheng Li, P. Luo, Yangjun Hou, Ze Li

引用次数: 2

Optimal dispatch of multi-energy complementary integrated energy systems 多能互补综合能源系统的优化调度

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556777

Jinming Gao, Tianyou Li, Min Xu

{"title":"Optimal dispatch of multi-energy complementary integrated energy systems","authors":"Jinming Gao, Tianyou Li, Min Xu","doi":"10.1109/CICED50259.2021.9556777","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556777","url":null,"abstract":"Integrated energy system is an effective way to realize multi-energy complementation in intelligent parks, but its system operation and scheduling is difficult to balance economy and environmental protection. For the optimization of the operation and control of the combined cooling, heating and power supply system, a comprehensive energy system has been established, including photovoltaic, wind power, gas turbines, chillers, waste heat and power. The economic dispatch optimization model for renewable energy sources such as recovery systems and energy storage devices, with the goal of minimizing economic operating costs, and comprehensive The fuel cost, power purchase and sale cost, carbon emission cost, etc. are considered and solved by the model prediction and control method. Finally, the actual smart park energy system is simulated and analyzed to verify the validity and feasibility of the established model, and the results show that based on the optimization method of model prediction and control can optimize the overall operating costs of the system and provide a preliminary stage for the planning of the integrated energy system of the park.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126947947","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

Research on Lightweight Method of Image Deep Learning Model for Power Equipment 电力设备图像深度学习模型的轻量化方法研究

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556829

A. Jiang, Nannan Yan, Baoguo Shen, Chunjie Gu, Hao Huang, Huangru Zhu

{"title":"Research on Lightweight Method of Image Deep Learning Model for Power Equipment","authors":"A. Jiang, Nannan Yan, Baoguo Shen, Chunjie Gu, Hao Huang, Huangru Zhu","doi":"10.1109/CICED50259.2021.9556829","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556829","url":null,"abstract":"Image information is the key element to judge the fault and defect of equipment in the power grid inspection. At present, all the automatic image defect analysis technology based on deep learning is to transfer the image to the server cloud for processing. However, due to the wide distribution of power equipment, large amount of image data and long time of data transmission, deep learning of massive image data will lead to severe problems of storage and inference speed. Therefore, it is necessary to carry out automatic analysis and research of power equipment based on edge computing, realize real-time defect analysis of power equipment image, significantly reduce the time of field detection, post-processing data and defect analysis, improve work efficiency and ensure the timeliness of defect detection. This paper analyzes the application scenarios of power equipment image recognition edge computing, summarizes the commonly used power equipment image recognition depth learning model, compares the computing power of existing edge computing chips, and puts forward two kinds of power equipment image recognition depth learning model lightweight schemes, which are network optimization, reasoning optimization and hardware optimization, and obtains the design of substation A scheme example of the application scene for visible light image recognition is provided. The results show that compared with NVIDIA TX2 chip which uses mobile edge computing directly, using TensorRT hardware architecture acceleration and low precision grid acceleration can reduce the recognition time by 48% ~ 72%. Compared with desktop GPU GTX1080TI, using TensorRT hardware architecture acceleration and low-precision grid acceleration recognition time is still longer, so further research on lightweight optimization scheme is needed.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123701266","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

Methodology for Model Validation Applied to Advanced Distribution Management System 模型验证在高级分销管理系统中的应用

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556784

Riliang Liu, Xiaolu Li, Yiming Lu, Congli Li, Yi Ding, Pan Zhang

引用次数: 0

Research on distribution Network Planning in the context of distributed energy Resources 分布式能源环境下配电网规划研究

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556584

Chen Bai-Xu, Zheng Xiangyu, Zhu Hongyi, S. Weicheng, ZhuJie

引用次数: 2