{"title":"A Real Time Monitoring Method for Single-line Break Fault Based on Dual-terminal Information of Distribution Network With Fault Tolerant","authors":"Zhining Lv, Baifeng Ning, Weifeng Luo, Wei Liu, Wei Deng, Ziheng Hu, Zhanlei Liu, Kun Yu, Xiangjun Zeng","doi":"10.1109/EI247390.2019.9061920","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061920","url":null,"abstract":"Due to the complex structure and the changeable operation mode, the distribution network frequently suffers from various types of damage (such as line break faults). Among them, the single-line break fault feature is not obvious, and the conventional detection method is difficult to monitor effectively and low reliability. In order to solve this problem, a real time monitoring method for single-line break fault based on dual-terminal information of distribution network is proposed in this paper. By monitoring the relevant voltage and current signals on the power supply side and the load side in real time, and extracting the single-line break fault feature information, a real-time monitoring of single-line break fault is realized. It can greatly improve the recognition accuracy of single-line break fault. The simulation analysis was carried out in PSCAD/EMTDC, and the analysis results show that the method is not affected by the distribution line parameters and the mode of operation, and common faults can be accurately identified and distinguished. The identification process is accurate and fast, meets the real-time monitoring requirements for distribution network single-line break fault, and has certain value for engineering applications.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125264708","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}
Chang Liu, Fengyi Du, Jin Wang, Liang Zhou, Jiangpei Xu
{"title":"Intelligent Substation Communication Traffic Prediction Based on QAPSO-RBF Neural Network","authors":"Chang Liu, Fengyi Du, Jin Wang, Liang Zhou, Jiangpei Xu","doi":"10.1109/EI247390.2019.9062168","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062168","url":null,"abstract":"This paper proposes an early warning mechanism of network traffic based on quantum adaptive particle swarm optimization-radial basis function (QAPSO-RBF) neural network. The QAPSO-RBF neural network prediction model predicts the range of traffic threshold in order to detect abnormal traffic firstly. Then an intelligent substation operating state evaluation model is proposed. By analyzing the real-time traffic, a stable state of the current intelligent substation communication network is obtained. The early warning mechanism of intelligent substation abnormal traffic can effectively detect abnormal traffic and warn in the intelligent substation communication network. The experimental results show the effectiveness of the warning mechanism in intelligent substation traffic and high accuracy of the QAPSO-RBF model.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125496582","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":"Study on Frequency Dynamic of Power System Based on Continuum Model","authors":"Qianyong Lv, Xiaohong Ma, Siguo Zhu, Xun Zhang, Huan Huang, X. Mao","doi":"10.1109/EI247390.2019.9061899","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061899","url":null,"abstract":"Aiming at the complexity in the parameter distribution in continuum modeling of the power system, a new approach of distributing parameters of generator based on shortest route was proposed. The traditional discrete system was computed through the swing equation at first, and the routes from generator in disturbance to other generators were computed through the proposed method in the paper. Then, the shortest route was chosen to distribute the inertia parameter on average, and the distributed parameter of every shortest route was distributed by Gaussian smooth method. The accurate parameter distribution formula was given in the paper. And the standard data set of 10 generators and 39 nodes system of New England was computed through the proposed method. The results indicated that there are huge amount of routes form the disturbing source to other generators, which increased the difficulty of parameter distribution. The 9 shortest routes were chosen to distribute the parameter, which greatly reduced the difficulty of parameter distribution and made the analysis of power system more accurate.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568962","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":"Droop Based Power Programmable Algorithm in DC Microgrids","authors":"Jiahua Ni, J. Xiang","doi":"10.1109/EI247390.2019.9062212","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062212","url":null,"abstract":"This paper studies a droop based control algorithm for DC microgrids which aims at tracking the power and stabling the bus voltage. The proposed algorithm consists of three different timescale control levels, that is, the primary control applies the traditional droop control to achieve the power share, the secondary control compensates the voltage deviation caused by droop control and the tertiary control adopts the PI controller to track the reference power. The proposed strategy implements the programmability of DG output power, which is compatible with various upper layer power scheduling algorithms, but also the sharing of power fluctuation due to contingencies and/or load variations. Simulation studies on several cases demonstrate its effectiveness.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126827825","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}
A. R. Sayed, Cheng Wang, T. Bi, M. Abdelbaky, Arsalan Masood
{"title":"Optimal Power-Gas Flow of Integrated Electricity and Natural Gas System: A Sequential MISOCP Approach","authors":"A. R. Sayed, Cheng Wang, T. Bi, M. Abdelbaky, Arsalan Masood","doi":"10.1109/EI247390.2019.9062250","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062250","url":null,"abstract":"Due to their environmental and economic benefits, interdependencies between power and gas systems have been enhanced. However, they provide new challenges in the optimal power-gas flow (OPGF) problem, especially at distribution-level. This paper proposes a sequential mixed-integer second-order cone programming (S-MISOCP) algorithm to define the OPGF for integrated electricity and gas system. The nonconvex power flow and gas flow equations are decomposed as difference-of-convex functions which are reformulated as MISOCP constraints. Starting with an initial point, a sequence of penalized MISOCP problems are solved to find a feasible OPGF close to, if not equal to, the optimal one. The feasibility and quick convergence are guaranteed by designing an adaptive penalty growth rate and suggesting a high-quality initial point, respectively. Moreover, bidirectional gas flow inside pipelines is considered to incorporate meshed gas networks. Numerical simulations have been conducted to validate the algorithm performance.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116083438","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 Melting and De-icing Methods of Lines in Distribution Network","authors":"Yuan Zhu, Yanjun Tan, Qingjun Huang, Fuyong Huang, Siguo Zhu, Xinguo Mao","doi":"10.1109/EI247390.2019.9062235","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062235","url":null,"abstract":"Distribution network lines are numerous and widely distributed. Large numbers of them are distributed in the harsh micro-topography and micro-climate areas, which are prone to suffer from freezing rain and snow, then lead to the dumping of tower and the breaking of line. Ice melting and deicing are effective methods to deal with ice disaster in distribution networks. Combined with years of experience in anti-ice in Hunan, this paper systematically introduces the anti-ice methods of distribution network lines. These methods include electric current ice-melting by AC or DC and manual de-icing. According to the characteristics of distribution network, a set of comprehensive ice-melting system and ice-melting principle are put forward. The system and principle can effectively guide the anti-ice work of distribution network lines. The melting and deicing methods and systems are applied well in Xiaoshajiang area of Hunan province and have obvious effect.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457828","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":"Damping Analysis and Parameter Adjustment of Hydraulic Turbine Governor under Ultra-low Frequency Oscillation","authors":"Liang Cheng, Weiyuan Wang, Guang Xu, F. Dou, Xuelian Wu, Jinmin Cheng","doi":"10.1109/EI247390.2019.9062123","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9062123","url":null,"abstract":"This paper analyzes the damping effect of hydraulic turbine governor on ultra-low frequency oscillation (ULFO) based on damping torque analysis, comparing the damping of different operating modes of the governor. The ULFO of a hybrid power system is proposed, which consists of hydraulic and steam turbine. The eigenvalue analysis of state space matrix is used to deeply analyze the damping effect of key parameters of hydraulic turbine governing system on ULFO. The adjustment method of hydraulic turbine governor parameters considering both ULFO suppression and system transient frequency safety is proposed. The effectiveness of this method is verified based on a real power grid of China.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122566133","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}
Qiang Huang, Zhenglong Jiang, Jie Deng, Jiabin Zou
{"title":"Simulation Study on Lightning Protection of New 500 kV Lightning-proof Line Insulator","authors":"Qiang Huang, Zhenglong Jiang, Jie Deng, Jiabin Zou","doi":"10.1109/EI247390.2019.9061707","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061707","url":null,"abstract":"Line arrester is an important lightning protection method for 500kV extra-high voltage (EHV) transmission lines. The current Zinc Oxide Arresters have shortcomings in performance, installation, in this paper, lightning-proof insulators with excellent lightning protection characteristics are adopted. The ATP-EMTP simulation is used to analyze the transmission line when it was subjected to the most serious conditions of counter-attack and lightning shielding failure, including energy releasing condition of the lightning-proof insulator, and the maximum withstanding lightning current after the lightning-proof insulator replaces the ordinary insulator. The simulation results show that the lightning protection insulator circuit can avoid the grounding fault of the transmission line, especially in the terrain where the grounding resistance is difficult to reduce; In the case of 800A 2ms square wave flow capacity is 1237kJ, the influence of lightning counterattack on the operation of the lightning protection type insulator is negligible with respect to the lightning shielding failure current and the maximum tolerated lightning shielding failure current amplitude of the 500kV line is −84kA ,which meets line lightning protection requirements.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832545","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":"Prediction of Probability Density of Electric Vehicle Load Based on Deep Learning QRDCC Model","authors":"Shurong Peng, Guodong Zheng, Jiabin Zou","doi":"10.1109/EI247390.2019.9061701","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061701","url":null,"abstract":"The large-scale access of electric vehicle charging load to the grid will bring some difficulties to the operation and scheduling of the grid. In this paper, a prediction model of electric vehicle load probability density prediction based on the quantile regression dilated causal convolution (QRDCC) is proposed. First, the weight sharing method is used to reduce the number of convolutional neural network parameters. Because the historical data of electric vehicles has strong self-correlation characteristics, the stacking convolutional layer structure is chose to learn the relationship. Then the fundamental of QRDCC is introduced, and the Adam random gradient is used to optimizing the parameters of the model. Combined with Gaussian kernel density estimation, the conditional density prediction of the final electric vehicle load is obtained. The experimental results show that the QRDCC prediction model not only outperforms the quasi-recurrent neural networks (QRNN) in the interval prediction of the load, but also has a high fitting effect on the real data in the point prediction of the median regression, which verifies the practicability and reliability of the QRDCC prediction model.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587387","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}
Ting Li, Wei Zhang, Ning Chen, Minhui Qian, Ying Xu
{"title":"Blockchain Technology Based Decentralized Energy Trading for Multiple-Microgrid Systems","authors":"Ting Li, Wei Zhang, Ning Chen, Minhui Qian, Ying Xu","doi":"10.1109/EI247390.2019.9061928","DOIUrl":"https://doi.org/10.1109/EI247390.2019.9061928","url":null,"abstract":"With the emerging technology for distributed generation and urge of improving quality of service of power supply for energy users, more and more Microgrids (MGs) are integrated into the distributed networks to serve the energy users. These Microgrids are gradually formulating a Multi-Microgrid System (MMGS, Multi-Microgrid System), which will play an important role for the future energy supply. Building a centralized control center not only increases the expense of investment, but also brings the issues of maintaining fairness among energy users. To address these problems, this paper proposes a peer-to-peer method for energy trading of MMGS, based on the idea of decentralized trading. An auction-based trading mechanism suitable for peer-to-peer energy trading is proposed first. For this mechanism, the MGs firstly declare their energy buying bids or selling quotations. Then, the market-clearing price is determined by using a unified weight clearing algorithm in a decentralized manner. By applying the edge technology of Blockchain, the implementation of the proposed peer-to-peer energy trading method, including the architecture, procedures, security check, etc., is also discussed. The proposed Blockchain-based energy trading platform can realize the decentralized and autonomous energy trading of MGs within an MMGS. A case study with an MMGS with 10 MG units is provided to demonstrate the effectiveness of the proposed approach.","PeriodicalId":321655,"journal":{"name":"2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114588579","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}