Qiaoyin Yang, Dengke Zhou, Chen Yiheng, Xianfeng Zhang, Yibo Su
{"title":"Evolve from Traditional Power Grid Network to Blockchain and IoT Integrated Network","authors":"Qiaoyin Yang, Dengke Zhou, Chen Yiheng, Xianfeng Zhang, Yibo Su","doi":"10.1109/ICEI52466.2021.00027","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00027","url":null,"abstract":"The carbon emission goals and the disruptive technologies development of the Internet of Things and Blockchain are expected to bring significant changes to the information and communication architecture for power grids. The security requirements, real-time operation of power systems, and legacy communication and interfaces development of power systems, as well as system and data silos of IoT and blockchain networks in the energy sector, contributed to the challenges of integration of IoT into the power systems, and blockchain-powered energy services in a larger scale. Blockchain technologies are expected to bring significant changes to energy consumption behaviors, demanding integration of P2P networks with Industrial IoT and IoT networks, and the OT&IT systems of the power grids to support millions of prosumers. The integration of these three domains is expected to support energy trading and new services to energy prosumers, maximize distributed energy resources consumption, improve overall energy efficiency, encourage flexibility aggregation and virtual power plant markets. This paper analyzes the IT&OT systems of the power grids, particularly the IEC series standards adopted by the electric industry, IoT integration and examples of integration, and blockchain peer-to-peer network. The paper analyzes the challenges of eco-development of these three relatively independent ICT domains, provides an analysis and an outlook of the integration of these three domains.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124836812","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}
L. Mao, Jianhua Yu, Yanfang Mao, Ziwei Zhang, Dengwei Ding, Qian Wang, Yayang Lin, Chunfeng Lu
{"title":"Propagation Characteristics Analysis of Fault Transient Voltage Traveling Wave in GIL Considering External Connection","authors":"L. Mao, Jianhua Yu, Yanfang Mao, Ziwei Zhang, Dengwei Ding, Qian Wang, Yayang Lin, Chunfeng Lu","doi":"10.1109/ICEI52466.2021.00018","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00018","url":null,"abstract":"This paper untangles a typical application scenarios of gas-insulated transmission line (GIL) and establishes simulation models respectively. By simulating the grounding fault, the propagation characteristics of transient traveling wave in GIL and the influence of external connection equipment on traveling wave characteristics are analyzed. Through the simulation, it is found that the reflection of transient traveling wave process is obvious due to the larger wave impedance of overhead lines, which is conducive to fault location. The wave impedance of the cable becomes smaller and the negative reflection is smaller, but there are still obvious reflection characteristic moments, which can be used for location. The impedance change between gas-insulated switchgear (GIS) and GIL is very small, and there is no obvious reflection characteristic moment, which will seriously affect the fault location. Due to the influence of port capacitance, the transient traveling wave of transformer is distorted obviously, but there is still obvious reflection time, which is helpful to fault location. This paper analyzes the propagation characteristics of GIL fault transient traveling wave in different application scenarios, which provides theoretical support for the realization of single-terminal fault location, and is helpful for the selection of location measure point and the calculation of characteristic moment in practical application.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114955052","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}
Dong Shidanjie, Zhao Yongsheng, Jianglu Yan, Yang Chao
{"title":"Research on Fault Early Warning Technology of Key Operation Nodes in Power Communication Network","authors":"Dong Shidanjie, Zhao Yongsheng, Jianglu Yan, Yang Chao","doi":"10.1109/ICEI52466.2021.00043","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00043","url":null,"abstract":"In the process of power grid operation and maintenance, the current fault early warning technology has the problem of single access channel, which leads to more misjudgments. This paper designs a research on fault early warning technology of key nodes in power communication network operation. Using stratified sampling method, combined with data mining technology to detect abnormal network operation data, switching communication network access channels, developing link control procedures, using three-scale analytic hierarchy process to identify key nodes, sending information symbols and check symbols at the same time, eliminating the problem of information dispersion, setting fault early warning mode. Experimental results: the design of fault early warning technology, and the other two kinds of early warning technology, the average number of misjudgment is 8.06, 9.8, 10.06, which proves that the design of fault early warning technology has higher use value.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132508572","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}
Dong Shidanjie, Jianglu Yan, L. Yongqing, Yang Chao
{"title":"Fault Prediction Technology of Power Communication Field based on Fuzzy Petri Net","authors":"Dong Shidanjie, Jianglu Yan, L. Yongqing, Yang Chao","doi":"10.1109/ICEI52466.2021.00042","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00042","url":null,"abstract":"In the field of power communication, the current fault prediction technology has the problem of imperfect prediction model, which leads to short prediction distance. This paper designs a field fault prediction technology of power communication based on Fuzzy Petri net. The fault influence degree is measured, the tolerance mechanism is established, the layer by layer propagation mode is obtained, the fault feature types are divided, the prediction model is constructed based on Fuzzy Petri net, and the resource of database is formed. Combined with the fuzzy set theory, the fault prediction process is designed by using subsection exchange ant colony algorithm. The experimental results show that the average distance between the other two prediction technologies and the designed fault prediction technology is 83.662km, 83.339km and 95.864km, respectively, which proves that the fault prediction technology combined with fuzzy Petri net is more suitable for power communication tasks.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117205583","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}
{"title":"A Design of Electricity Trading System Based on Blockchain Technology","authors":"Yixin Jiang, Peiming Xu, Xiaoyun Kuang, Baorong Zhou, Pingping Xie, Yunan Zhang","doi":"10.1109/ICEI52466.2021.00036","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00036","url":null,"abstract":"The traditional power trading system is mainly based on a centralized architecture, and there are many problems such as many participants, insufficient data security, and data islands, which limit the willingness of trading entities to enter the market. Blockchain technology has the characteristics of openness, transparency, traceability, non-tampering, weak centralization, etc., which to a certain extent helps to solve the problems existing in traditional power trading systems. This paper proposes an architecture design of a power trading system based on blockchain technology, analyzes the block link access mode, and provides a new idea different from the traditional mode of distributed storage, hybrid deployment and flexible access. Problems such as data islands and insufficient security in power transaction scenarios have improved the flexibility of data access.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131415008","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}
Hu Xiaoyan, Li Bingjie, Shi Jing, Li Hua, Liu Guojing
{"title":"A Novel Forecasting Method for Short-term Load based on TCN-GRU Model","authors":"Hu Xiaoyan, Li Bingjie, Shi Jing, Li Hua, Liu Guojing","doi":"10.1109/ICEI52466.2021.00020","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00020","url":null,"abstract":"In order to improve the accuracy of short-term electric load forecasting and provide stronger assurance for the stable operation of the electric power system, a short-term load forecasting method, TCN-GRU, which combines time convolutional network (TCN) and gated recurrent unit (GRU) is proposed in this paper. This method comprehensively considers the timing characteristics and non-timing characteristics of the data. The short-term electric load prediction is realized by the TCN model to realize the further feature extraction of the time series features and the nonlinear fitting ability of the GRU model. Based on the electric load data of an industry in Nanjing, Jiangsu Province, the load forecasting ability of the TCN-GRU model is verified. Experiments show that the proposed method has a great advantage over the other deep learning methods.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227589","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}
{"title":"Fuzzy Test Guidance Technology for Power Internet of Things Firmware Vulnerability Detection","authors":"Bo Zhang, Zesheng Xi, Kunlun Gao","doi":"10.1109/ICEI52466.2021.00033","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00033","url":null,"abstract":"The power Internet of Things has become an important part of the energy Internet, and firmware is its enabling software. The existence of firmware vulnerability is one of the fundamental reasons for smart grid to face network attacks, so detecting firmware vulnerability is the key to smart grid security. Fuzzy testing is one of the hotspots of cyberspace security research, but for firmware vulnerability detection, there are still some problems in current fuzzy testing technology, such as poor compatibility of heterogeneous firmware program simulation, firmware state space explosion and blind testing, which lead to poor efficiency and effectiveness of vulnerability detection. In order to solve the above problems, this paper proposes the technology of static instruction translation and program reconfiguration for heterogeneous firmware programs, and reconstructs heterogeneous firmware programs into cross platform executable programs through intermediate language translation. At the same time, a fuzzy test method based on static targeting model and dynamic symbol execution is proposed to further improve the guidance, intelligence, accuracy and automation of firmware vulnerability fuzzy test technology.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125476333","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}
Jing Ma, Yonggang Xu, Zengming Liu, Huinan Wang, XueLu Cui
{"title":"Research of Terminal Access and Monitoring of Energy Internet","authors":"Jing Ma, Yonggang Xu, Zengming Liu, Huinan Wang, XueLu Cui","doi":"10.1109/ICEI52466.2021.00025","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00025","url":null,"abstract":"With the development of the Energy Internet, type and quantity of terminal access as well as range and depth of data interaction have increased significantly. A large number of uncontrolled terminal access and interaction requirements, have brought challenges to network security access and monitoring. The traditional border-based protection model is difficult to meet the security requirements of this complex access scenario. This paper analyzes the problems of terminal access under the background of the energy Internet. Drawing lessons from the zero-trust security model, the energy Internet terminal access and monitoring model is proposed. This model supports the flexible access of diversified terminal equipment, realizes terminal and lean protection, and strengthens the security management and control of the energy Internet in the terminal access link.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123176","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}
Siyang Deng, Zhu Liu, Lvchao Huang, Yonggui Wang, Kaiming Chen
{"title":"Resampled data splicing method based on continuous single-cycle used in power quality analysis","authors":"Siyang Deng, Zhu Liu, Lvchao Huang, Yonggui Wang, Kaiming Chen","doi":"10.1109/ICEI52466.2021.00015","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00015","url":null,"abstract":"When analyzing the spectrum of sampling data received from analog-to-digital converter, it usually could not satisfy the constraint that the length of the signal should be an integer power of 2 for FFT calculation. The common approach is to increase the sampling time or to fill the zeros after the signal, but these methods would cause the spectrum leakage or increase the time consuming for analysis. Therefore, this paper proposes an improved power quality data processing algorithm based on signal interpolation resample for continuous single cycle, and compares it with the common methods. The simulation results show that the improved algorithm can accurately capture the real frequency characteristics of the signal without increasing the signal sampling load or the amount of calculation.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121586476","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}
Chuangxin Fang, Zhiping Hu, C. Xia, Linjun Shi, Feng Wu, Yang Li
{"title":"Configuration of storage battery cooperating with pumped-storage units for wind and photovoltaic power fluctuation smoothing","authors":"Chuangxin Fang, Zhiping Hu, C. Xia, Linjun Shi, Feng Wu, Yang Li","doi":"10.1109/ICEI52466.2021.00007","DOIUrl":"https://doi.org/10.1109/ICEI52466.2021.00007","url":null,"abstract":"Aiming at the configuration problem of storage battery cooperating with pumped-storage units to smooth the fluctuation of new energy power, a bi-level configuration method of storage battery is proposed. This method first decomposes the combined output power of wind and solar through ensemble empirical mode decomposition (EEMD), and determines the number of components to be smoothed according to the different operating conditions of the pumped-storage units. The upper planning model aims to minimize the total cost of energy storage, and the lower operating model aims to minimize the deviation from the output index. Aiming at the solution of the two-layer model, the improved particle swarm optimization (IPSO) algorithm is used to solve the model. The calculation example analysis shows that the proposed configuration method effectively smooths the fluctuations of the wind and solar combined system, and there is also a good coordination between the storage battery and pumped-storage units. Finally, the model considers the economics of investment and the effect of smoothing fluctuations at the same time.","PeriodicalId":113203,"journal":{"name":"2021 IEEE International Conference on Energy Internet (ICEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130593749","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}