2021 China International Conference on Electricity Distribution (CICED)最新文献

{"title":"Construction of Intelligent Evaluation Model of Power Informatization Monitoring Platform","authors":"Zhongzheng Tong, Yangzi Sun, Jie-sheng Zheng, Jun Lin","doi":"10.1109/CICED50259.2021.9556701","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556701","url":null,"abstract":"The traditional intelligent evaluation model of power informatization monitoring platform has the defect of large evaluation error. Therefore, the intelligent evaluation model of electric power information monitoring platform is researched. The neural network is adopted for processing of the electric power information monitoring platform data to obtain the data characteristics. %ased on the characteristics, the intelligent evaluation network of electric power information monitoring platform is constructed to establish the intelligent evaluation model of electric power information monitoring platform. The constructed intelligent evaluation model of electric power information monitoring platform is adopted for the intelligent evaluation of electric power information monitoring platform. The e[periment shows that the evaluation error of the intelligent evaluation model of established electric power information monitoring platform is 2 less than that of the traditional model, which sufficiently describes that the intelligent evaluation model of established electric power information monitoring platform owns better evaluation performance.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"11 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":"117332436","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 Research for the Verification Mechanism of the Medium and Long-term Electricity Transactions Based on Operation Flow and Data Chain","authors":"N. Zhou","doi":"10.1109/CICED50259.2021.9556716","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556716","url":null,"abstract":"After China started a new round of power system reform, the medium and long-term electricity transaction has been steadily promoted in all provinces and made positive progress. In September 2019, the State Energy Administration of China pointed out that there are still some problems in the construction and operation of the electricity market in its opinion on strengthening the supervision of medium and long-term electricity transaction, such as imperfect trading mechanism, inadequate implementation of trading rules, and irregular trading organization. At present, the research on medium and long-term transaction is mainly focused on transaction strategy, transaction security analysis, deviation handling mechanism, etc. How to ensure the fairness of transaction organization, the validity of transaction data, the accuracy and timeliness of transaction results, which needs further research . so that the market subjects can make clear transactions, and further improve the credibility of the power transaction center in the market subjects. Based on the operation flow and transaction data chain of the medium and long-term electricity transactions, this paper proposes a whole life cycle verification scheme and system of the medium and long-term electricity transactions for Monitoring and verification for the medium and long term transactions with comprehensive consideration of Yunnan electricity market transaction access, transaction declaration, security check and transaction clearing rules.Firstly, it is to establish a monitoring system to control, remind and correct all aspects of the power medium and long-term transaction business process.At the same time, with the help of transaction calendar, it can realize automatic control and real-time process display for each link of transaction organization, effectively reduce transaction organization errors and avoid missing transaction time. Secondly,it is to establish a transaction business data verification mechanism and system,which covers the whole life cycle of the trading process, so as to reduce the data errors of different transaction organization links, remind and correct them,which can ensure the validity and practicability of the transaction data .Thirdly,it is to establish multi-dimensional check relationships of the medium and long-term electricity transaction data chain,which can verify the correctness and rationality of transaction data.For example, declaration of electricity quantity, security correction of electricity quantity, transaction electricity quantity and other transaction information, which can establish a reasonable checking relationship of transaction electricity quantity, The three aspects above shall be coordinated ,which can build a strict verification network for the medium and long-term electricity transactions.Since the operation of Yunnan electric power market, the trading rules have been matured gradually, the trading quantity has increased in a high proportion, the tradi","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"99 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":"116804812","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 Fine-gained Prediction Algorithm Based on the Feature Matching for Electricity Usage Demand Forecast","authors":"Yan Li, Jie Meng, Muxuan Li, Qianyi Zhang, Jin He, Yao Zhang","doi":"10.1109/CICED50259.2021.9556737","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556737","url":null,"abstract":"We study the prediction problem for electricity usage demand, which is crucial for the stable operation of smart grid and the improvement of the users’ experience. Many prediction algorithms for electricity usage demand have been proposed to improve the prediction accuracy of the total electricity consumption in a region. However, most existing methods focus on the long- and medium-term electricity usage demand, and fail to predict the short-term fine-gained electricity usage demand. In this paper, we propose a fine-gained prediction algorithm based on the feature matching for electricity usage demand on smart meters. This paper extracts the electricity usage feature of each user from electricity usage data recorded by the smart meter, and conducts feature matching on the real-time electricity usage data. Finally, the matched features are used to predict electricity consumption. Experiment shows that our model achieves well performance on the fine-gained electricity usage data.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"16 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":"125905663","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 primary frequency regulation of grid integrated concentrating solar power plant","authors":"Minhui Qian, Da-wei Zhao, Liang Zhao, Ling-zhi Zhu, Fubao Wu, N. Chen, W. Qin, Chang Xu","doi":"10.1109/CICED50259.2021.9556725","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556725","url":null,"abstract":"High share of renewable energy will be one of the basic features of power systems in the future around the world. Compared with photovoltaic (PV) and wind power, concentrating solar power (CSP) equipped with heat storage system has similar regulation characteristics with thermal power units, and it can effectively overcome the intermittent and volatility of PV and wind power generation. Meanwhile, the CSP units can strongly support the voltage, frequency and short-circuit capacity of power systems. So, CSP is a very promising power generation technology for the future power system. The CSP unit has better ramp ability than thermal power unit, and can generally reach a speed between 2% and 5% of rated power per minute. Stated thus, the CSP unit has a good potential to participate in the primary frequency regulation of power grid. At present, there are many researches on the performance of each subsystem of the CSP unit in worldwide, and there are also some theoretical researches on the participation of CSP unit in the dispatching operation of power system. However, there is a lack of research reports on CSP plant’s participation in the primary frequency regulation of the power grid, which is an urgently needed feature for the future power systems with high share of renewable energy. In this paper, a model with primary frequency regulation ability of CSP unit is established in DIgSILENT PowerFactory software. A revised two-area four-machine system is used to investigate the CSP unit’s participation in primary frequency regulation of power system. The simulation results show the good frequency regulation performance of CSP unit, which can effectively support the stable operation of power system with high share of renewable energy in the future.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"35 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":"129837579","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":"Power Supply Reliability Evaluation Method for DC Distribution Network with Power Energy Router","authors":"G. Niu, Ming Wu, Yuejin Ji, L. Kou, Hai Zhang","doi":"10.1109/CICED50259.2021.9556697","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556697","url":null,"abstract":"In this paper, a power supply reliability evaluation method for DC distribution network with power energy router is proposed. Firstly, the indexes of power supply reliability evaluation for DC distribution system are introduced. Then, combined with the actual demand of the power supply reliability evaluation calculation, the equivalent simplified model of the power energy router for power supply reliability evaluation is built. In order to analyze the power supply reliability of the system, time-series model of each component in the system is established. State sequences of each element in the system are generated by using sequential Monte Carlo method. The power supply reliability result of the whole system can be obtained based on the FMEA based interruption duration analysis of each load, which takes load priority into consideration. Finally, the effectiveness of the proposed method is verified by MATLAB simulation case study.","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":"127469505","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":"Evaluation of distribution network planning considering scalability and adaptability","authors":"Zhijie Luo, Yutian Liu, Chunyi Wang","doi":"10.1109/CICED50259.2021.9556757","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556757","url":null,"abstract":"With economy development and population increasing, it is significant to restruct and expand distribution network to follow electricity demand. In order to reduce investment costs and increase efficiency, it is necessary to scientifically and reasonably evaluate planning schemes and construct distribution network. In this paper, an evaluation system is established to evaluate comprehensively for distribution network planning. It not only includes reliability and economy, but also scalability and adaptability to adapt future development. Due to high penetration of distributed energy access, it makes a great influence to distribution network. As for uncertainties, it takes advantage of fuzzy membership function to describe working state of wind turbine, photovoltaic and electric vehicle. Based on mean and variance, Monte Carlo method can simulate the data of wind speed, light intensity and electric vehicle. To avoid subjective interference, it objectively evaluate distribution network planning based on topsis with anti-entropy method. In this way, planning schemes are ranked and the best scheme is selected for construction of distribution network. Last, some prospects are made for future development of scalability and adaptability.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"87 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":"127483928","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":"Interconnectivity and interoperability-oriented communication converter for low voltage meter reading","authors":"Ying Sun, Zhipeng Su, Ying Zhao, Qiong Wu, Feiou Yu","doi":"10.1109/CICED50259.2021.9556830","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556830","url":null,"abstract":"With the development of smart grid construction, the domestic power user consumption information collection system is basically complete. In the current low-voltage meter reading system, most of the downlink channels use power line carrier and RS485 for communication. In the construction process over the years, the power line carrier technology has been updated rapidly, resulting in the coexistence of narrowband carrier, broadband carrier, high-speed carrier, and carrier wireless dual-mode technologies. In order to solve the problem of power line carrier interconnection and intercommunication of different technologies in the same station, this paper designs a low-voltage meter reading interconnection and intercommunication converter, which solves the problem of the communication module upgrade of station electric meters. And the converter can also support data collection after load switching across stations. Verified by field application, the device can effectively solve the problem of power line carrier interconnection in different technical systems.","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":"129180315","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":"Analysis of heavy overload transmission section based on association rules and complex networks","authors":"Y. Li, Y. Hou, Li Li, Jin Zhou, Donghua Zhao","doi":"10.1109/CICED50259.2021.9556819","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556819","url":null,"abstract":"This paper aims to use the machine learning algorithm and complex network analysis technology to mine information on heavy overload transmission sections. Through the statistical description of the heavy overload sections of one region in Chinese power grid, the distribution law according to different time characteristic is found. The association rules are used to mine the information between the transmission sections, and the network is established by taking the transmission section as node. The time series of the node state is determined according to whether the section is heavy overload, and the similarity matrix is constructed by using Pearson similarity and partial correlation coefficient respectively. The results of data analysis show that the association rules and the complex network analysis reveal the internal relationship from different aspects between the sections, which provides strong support for grid operation and maintenance. This paper also expands the application of big data analysis algorithms in smart grid.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"8 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":"126095033","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":"Target Registration of Electric Power Installation Based on Hybrid Network Model Under the Application of Intelligent Inspection Application","authors":"Yu Hong, Wei Jie","doi":"10.1109/CICED50259.2021.9556660","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556660","url":null,"abstract":"In the on-line monitoring of power equipment, it is necessary to identify the appearance image of the target, and the image fault recognition must first carry out the accurate matching of the image, so there is an increasingly urgent demand for the application technology of the visual positioning of the target detection equipment. In this paper, a hybrid network model based target seeking algorithm for power equipment is proposed, which combines two research routes: template matching of twin network and image registration based on feature point matching. In the aspect of network depth, the algorithm uses less feature size compression to reduce pooling. In order to ensure that the size of the feature map is the same as that of the original image, the detection resolution can be reduced. Methods the sub neighborhood partition of feature descriptor is improved to simplify the algorithm complexity. In order to avoid over fitting of the model, dropout strategy was used to ignore some neurons randomly during training. At the same time, the exponential descent learning rate curve is used to consider the convergence speed of the model in the early stage and the convergence in the later stage. The experimental results show that the algorithm can achieve the goal-seeking task of power equipment reliably and effectively in the complex and changeable substation detection environment.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"43 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":"123826255","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":"Rapid Determination of Copper Content in Condenser Cooling Water by X-ray Fluorescence Spectrometer","authors":"Z. Hua","doi":"10.1109/CICED50259.2021.9556650","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556650","url":null,"abstract":"In this paper, X-ray fluorescence spectrometer (XRFS) were tried to achieve rapid determination of copper content in condenser cooling water. Three mathematical models based on untransformed and ln-transformed data were discussed to select the final regression equation of new method. Numbers of cooling water samples from 2019 to 2020 were subjected to both AAS and XRFS. An acceptable correlation coefficient with R2=0.8305 was achieved based on the two datasets, which shows reliability and accuracy in rapid determination of copper content in condenser cooling water.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"49 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":"121350452","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}