{"title":"Data-driven fault risk warning method for distribution system","authors":"Yuhui Huang, Pu Zhao, Yi Jiang","doi":"10.1109/CICED50259.2021.9556654","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556654","url":null,"abstract":"A data-driven method for fault risk prediction of distribution network is proposed. Firstly, data analysis are carried out to determine the target classification and the correlation feature set of the distribution network failure. The Adaboost-SVM algorithm is presented to forecast the distribution network faults and excavates the relationship between the failure and the influencing factors. The calculation results show that the fault warning method is effective and provide significant reference to the operation practice.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"32 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":"123755568","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}
Dehui Wang, Linglu Luo, Chao Li, Huanhuan Zuo, Bo Wang
{"title":"Accurate Flow Control Strategy based on Virtual Link of Smart Substation Process Layer Network","authors":"Dehui Wang, Linglu Luo, Chao Li, Huanhuan Zuo, Bo Wang","doi":"10.1109/CICED50259.2021.9556760","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556760","url":null,"abstract":"In current field application of the smart substation, the normal flow is affected by the extensive flow control method of the process layer network. In this paper, the characteristics of process-layer network traffic and the importance of flow control are analyzed. An accurate process layer network flow control strategy is proposed based on virtual link. Virtual link information is extracted based on the SCD file, and the theoretical flow information is derived for each port of the process layer switch. As a result, the virtual link flow control strategy can be designed for each port. The proposed accurate flow control method is implemented via the switch access list control by configuration. Experiments are designed to confirm that this method is simple and feasible.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"13 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":"122186297","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":"Adequacy Analysis of New Energy Access Power System Based on Monte Carlo Simulation(CICED 2020)","authors":"Tianfeng Xu, Bo Liu, Qianmao Zhang, Peng Xi, Tiantong Zhu, Yading Chen","doi":"10.1109/CICED50259.2021.9556755","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556755","url":null,"abstract":"In this paper, the stochastic model of wind power generation is considered. Under all possible load conditions, the ability of power system to meet the demand of system load power supply, i.e. the adequacy of power system, is studied. Through Monte Carlo simulation method, the adequacy of power system in a given area is calculated and analyzed, and the reliability indexes such as load loss probability are studied. In order to further Considering the adequacy of various energy systems provides a reference value.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"106 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":"131517066","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":"Research on influence factors and evaluation model of distribution network green index based on urban energy Internet","authors":"Lingyu Guo, Yang Du, Xingang Yang, Lei Su","doi":"10.1109/CICED50259.2021.9556826","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556826","url":null,"abstract":"With the development of urban energy Internet, the power, network, load and storage in the distribution network are becoming more and more complex. How to establish the distribution network green index evaluation system under the background of green development, energy revolution and energy Internet is a more complex issue. This paper firstly expounds the significance of establishing the distribution network green index based on urban energy Internet. Then it summarizes and analyzes the key influence factors of the distribution network green index. After that, this paper establishes the evaluation model by combining the interpretative structure model and Analytic Hierarchy Process (AHP). Finally, it takes West-Hongqiao energy Internet demonstration area in Shanghai as an example to give a comprehensive distribution network green index evaluation.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"1 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":"130418582","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}
C. Haiqing, Guo Qi, H. Zhida, Liu Shiping, W. Wencong, Yu Jiang, H. Libin, Shi Zebing, Liu Shuyong
{"title":"Optimized functional design and simulation study of the fault line selection devices for non-solidly earthed network based on RTDS","authors":"C. Haiqing, Guo Qi, H. Zhida, Liu Shiping, W. Wencong, Yu Jiang, H. Libin, Shi Zebing, Liu Shuyong","doi":"10.1109/CICED50259.2021.9556666","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556666","url":null,"abstract":"The action accuracy of the fault line selection device is of great significance for ensuring the safe operation of the power system and personal safety. In view of the current imperfect function and the low accuracy of the small current grounding line selection device, the function of line selection of the device is further optimally designed and studied, and the post-acceleration and wheel-cutting functions are put forward and realized. The RTDS simulation model of non-solidly earthed network is established and connected with the actual grounding line selection device to form a closed-loop real-time simulation testing system. By setting up various test items, different types of ground fault test of non-solidly earthed net-work are carried out. The results of simulation show the accuracy of the line selection function, which provides important technical guidance for the implementation of the fault line selection device.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"1 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":"123090856","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":"Optimal Dispatch of Active Distribution Network for Solar Power Accommodation Based on Conditional Value at Risk","authors":"Xiuwen Cai, Maoxin Chen, Keyao Lin, Jiawei Lyu, Shenxi Zhang, Haozhong Cheng","doi":"10.1109/CICED50259.2021.9556822","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556822","url":null,"abstract":"Nowadays, with the worldwide attention on renewable energy, the grid-connected photovoltaic (PV) equipment is playing a significant role in the active distribution network (ADN). This paper proposes a novel day-ahead optimal dispatch model for ADN based on the conditional value at risk (CVaR) to promote solar power accommodation. Firstly, the uncertainties of PV output and load are modeled by the generated typical scenarios based on historic data and K-means clustering and can be embedded in the discretized and linearized CVaR model. Then, the optimal dispatch model aimed to maximize solar power accommodation is established. Active management (AM) includes the on-load tap changer, capacitor bank, battery energy storage, and load curtailment. Constraints mainly involve power flow, nodal voltage, branch power load, and the limits of AM. The problem is finally transferred into a mixed-integer second-order cone programming one, which can be solved by the commercial solver Gurobi directly based on the branch-and-bound method. Case studies based on a modified IEEE 33-bus system illustrate the feasibility and validity of the proposed method.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"28 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":"115001450","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":"The compatibility between environmental-friendly insulation gas C4F7N with alumina and zinc oxide: A comparative study","authors":"Yunkun Deng, Ziyue Zhang, Jiayu Xiong, Ke Wang, Jisheng Huang, Yingping Chen","doi":"10.1109/CICED50259.2021.9556796","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556796","url":null,"abstract":"C4F7N has showed much importance as one of the most promising environmentally friendly gases to submit SF6 in power industry, due to its good dielectric strength and environmental characteristics. Zinc and aluminum are both frequently-used metal material in GIS as construction and coating. Since the presence of water and oxygen, which is hard to avoid during manufacture and operation, the metal may be oxidized. Meanwhile, Aluminum oxide has been widely used as insulation materials, of which the stability when exposed in C4F7N is very important for the long-term stable operation of electrical equipment. Therefore, the compatibility between insulation gas C4F7N with alumina and zinc oxide need to be carefully verified for the engineering application of the novel gas. In this article, the compatibility was studied by both thermal compatibility experiments and density functional theory calculation. The thermal ageing test were performed, and the scanning electron microscope (SEM) and X-ray photoelectron spectroscopy (XPS) analysis were used on the solid powders. In the meantime, the adsorption energy, total charge transfer, density of states and electron density difference of the gas molecular on solid surface were calculated to evaluate their interactions. The results demonstrate that C4F7N shows certain compatibility with the two metal oxide.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"2 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":"130344024","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}
Linghui Yang, Yingping Chen, Jisheng Huang, Ya Wang, Xuesheng Dong, Dongxian Tan
{"title":"Study on resistance to tracking of epoxy resin micron composites","authors":"Linghui Yang, Yingping Chen, Jisheng Huang, Ya Wang, Xuesheng Dong, Dongxian Tan","doi":"10.1109/CICED50259.2021.9556764","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556764","url":null,"abstract":"In order to study the effect of micron silica on the surface resistance of epoxy insulating materials and improve the resistance of epoxy resin micron composites, three kinds of epoxy resin composites doped with different micron silica particles were prepared. By using the ASTM D2132-62T test method, the resistance of epoxy micron composites was evaluated by recording the time of electrical mark failure. The hydrophobicity of the sample was studied by static contact angle measurement, and the electrical and mechanical properties of the sample were tested. The results show that with the increase of the doping content of micron silica particles, the resistance to electrical marks and hydrophobicity of the samples become better, The dielectric constant of the sample decreases first and then increases, the dielectric loss is constant, the volume resistance decreases first and then increases, but the dielectric strength increases first and then decreases, and the difference of electrical properties of different samples is small. both the bending strength and the tensile strength are slightly increased, and the impact strength decreases first and then increases. the comprehensive test of the electrical and mechanical properties of the specimen increases the bending strength and tensile strength of the specimen, appropriately reduces the dielectric constant and volume resistivity, and increases the dielectric strength, which can make the resistance of epoxy micron composites better.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"55 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":"130313675","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":"Research and Application of Lean Management of Distribution Network Defects Based on Mobile Application Technology","authors":"Zhisheng Zhang, Youjian Huang","doi":"10.1109/CICED50259.2021.9556832","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556832","url":null,"abstract":"With the development of economy and the development of technology, people's living standards have gradually improved. Faced with the increasingly tense power supply problems, it is necessary for relevant departments in China to take reasonable and effective measures to promote the safety and stability of power supply for thousands of households and maintain the safety of substations. Operation, equipment defect management is a key link in power production management, which directly affects the safety and reliability of the entire power grid. The safety of equipment operation directly affects the electricity safety of the entire substation, and even plays a key role in the development of the entire industry.In order to improve on-site work efficiency and allow information systems to serve on-site operations, there is an urgent need to develop a management function that meets the needs of distribution network defects, effectively supports production management personnel at all levels to assist in decision-making, promote management to a standardized and efficient transition, reduce the workload of grassroots personnel, and maximize Improve team work efficiency and standardization.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"46 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":"132641239","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}
Xiao Chen, Yufeng Wu, Qingyang Liao, Yun Rao, Yao Song, Dong Liu
{"title":"An Improved Twin Support Vector Regression Machine Based on Adjusted Cosine Similarity for Load Prediction","authors":"Xiao Chen, Yufeng Wu, Qingyang Liao, Yun Rao, Yao Song, Dong Liu","doi":"10.1109/CICED50259.2021.9556774","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556774","url":null,"abstract":"Due to the rapid increase of power data resources on the consumer side, using of large-scale data to achieve fast and high-precision load prediction has become an urgent problem. This paper proposes an improved twin support vector regression machine for load forecasting based on adjusted cosine similarity. The data sparsity of the improved twin support vector regression machine is better than the twin support vector regression machine which is the novel machine learning method. The training speed of the improved twin support vector regression machine is faster than the support vector regression machine which is the classic machine learning method. After verification of the actual grid data, this method has good prediction accuracy and prediction speed compared with the twin support vector regression machine and the support vector regression machine.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"34 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":"133335904","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}