Xiaopeng Li, Shilin Feng, Xiangxi Duan, Runtao Zhang, Kai Liao, Siyu Xiong, L. Fu
{"title":"Dynamic Estimation Algorithm for Modulation Frequency under Off-nominal Frequency and Oscillations","authors":"Xiaopeng Li, Shilin Feng, Xiangxi Duan, Runtao Zhang, Kai Liao, Siyu Xiong, L. Fu","doi":"10.1109/EI250167.2020.9346696","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346696","url":null,"abstract":"Due to the wide use of power electronic devices in power systems, low-frequency oscillations and disturbances lead to a rapid decline in the accuracy of phasor measurement units (PMUs). As a result, it takes obstacles to identify and suppress oscillations effectively. In this paper, a Taylor series-based dynamic phasor measurement model is proposed for estimating the modulation frequency directly. Firstly, Taylor series is employed to characterize the supplied signal. Secondly, the least square method (LSM) is applied to estimate the various parameters of the signal, especially to estimate the modulation frequencies. Finally, the simulation results are presented to verify the advantages of the proposed algorithm in providing accurate measurement results under the conditions with off-nominal frequency and oscillations.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126116531","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":"Intelligent Line Losses Management System For Secondary Power Distribution Network Based On SSM Framework","authors":"Wei Hu, Qiuting Guo, Yajun Liu, Yue Liu, Xu Huang, Weiheng Wang","doi":"10.1109/EI250167.2020.9346786","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346786","url":null,"abstract":"Due to the rapid development of electricity consumption and market, more and more related devices need to be used for the increasing users, the scale and structure of the secondary power distribution network have therefore become increasingly great and complex, lead to the result that line losses become higher line losses In order to better manage secondary power distribution network and reduce line losses, the paper proposed a new intelligent line losses management system for secondary power distribution network line losses. The system is built based on SSM framework and uses front-end and backend separation method. SSM framework is the integration of Spring, Spring MVC and Mybatis and thus has combined advantages of the three frameworks. The front-end is based on Bootstrap framework, and back-end is based on and SSM framework. In the system, data processing module, theoretical line losses calculation module and line losses evaluation module are built to calculate line losses and create the standards of line losses evaluation, while line losses management module is used for visualizing and monitoring the line losses situation which can be the reference of governance, planning and development of distribution network line losses problems. Finally, the system can help us make significant contribution to improving the benefits of power utilities, reducing energy waste, solving the environment pollution problem, and thus building an energy-saving and environmentally-friendly future.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123534430","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":"Two-Stage Stochastic Dynamic Unit Commitment and Its Analytical Solution With Large Scale Wind Power Integration","authors":"Tao Zhu, Zhenyi Wang, Chuan Zhao, Shuwei Xu","doi":"10.1109/EI250167.2020.9346931","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346931","url":null,"abstract":"Large-scale wind power integration brings great challenges to the secure and economic operation of power system. To cope with the uncertainty of wind power, this paper proposes a two-stage chance-constrained stochastic unit commitment model in which the wind power forecast error is described by a multi-dimensional Gaussian mixture model (GMM). The multi-dimensional GMM can accurately capture the characteristics of “multi-peak”, “asymmetric” and “multidimensional correlation In addition, a tractability transformation method is proposed and the chance constraints that cannot be directly handled are replaced by deterministic linear constraints approximatively. Therefore, the original problem can be solved efficiently with enough accuracy. The model proposed in this paper can effectively coordinates the master-problem of unit commitment and the sub-problem of generation-reserve dispatch. The optimal solution is an executable schedule, which avoids further modification and guarantees the optimality of generation cost. Compared with the two-stage robust unit commitment, the conservatism of its results is improved. Numerical tests on IEEE-118 system demonstrates the effectiveness of the proposed method.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125500818","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 Synchronous Iterative Method of Power Flow in Inter-Connected Power Grids Considering Privacy Preservation: A CPS Perspective","authors":"Nianfeng Tian, Qinglai Guo, Hongbin Sun, Jianye Huang","doi":"10.1109/EI250167.2020.9347366","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347366","url":null,"abstract":"The increasing development of smart grid facilitates that modern power grids inter-connect with each other and form a large power system, making it possible and advantageous to conduct coordinated power flow among several grids. The communication burden and privacy issue are the prominent challenges in the application of synchronous iteration power flow method. In this paper, a synchronous iterative method of power flow in inter-connected power grid considering privacy preservation is proposed. By establishing the masked model of power flow for each sub-grid, the synchronous iteration is conducted by gathering the masked model of sub-grids in the coordination center and solving the masked correction equation in a concentration manner at each step. Generally, the proposed method can concentrate the major calculation of power flow on the coordination center, reduce the communication burden and guarantee the privacy preservation of sub-grids. A case study on IEEE 118-bus test system demonstrate the feasibility and effectiveness of the proposed methodology.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126639454","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}
Hongjun Gao, You-bo Liu, Zhenyu Liu, Song Xu, Renjun Wang, Enmin Xiang, Jie Yang, M. Qi, Yinbo Zhao, Hongjin Pan, Wang Ma
{"title":"Optimal Planning of Distribution Network Based on K-means Clustering","authors":"Hongjun Gao, You-bo Liu, Zhenyu Liu, Song Xu, Renjun Wang, Enmin Xiang, Jie Yang, M. Qi, Yinbo Zhao, Hongjin Pan, Wang Ma","doi":"10.1109/EI250167.2020.9347346","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347346","url":null,"abstract":"The reform of electricity marketization has bred multiple market agents. In order to maximize the total social benefits on the premise of ensuring the security of the system and taking into account the interests of multiple market agents, a bi-level optimal allocation model of distribution network with multiple agents participating is proposed. The upper level model considers the economic benefits of energy and service providers, which are mainly distributed power investors, energy storage operators and distribution companies. The lower level model considers end-user side economy and actively responds to demand management to ensure the highest user satisfaction. The K-means multi scenario analysis method is used to describe the time series characteristics of wind power, photovoltaic power and load. The particle swarm optimization (PSO) algorithm is used to solve the bi-level model, and IEEE33 node system is used to verify that the model can effectively consider the interests of multiple agents while ensuring the security of the system.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114906703","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":"Failure Analysis of Overhead Conductors Damaged by Preformed Helical Stockbridge Damper","authors":"Limin Shi, Qing Yin, Jianli Zhao, Jiankun Zhao, Yongping Zheng, Yisheng Zhang","doi":"10.1109/ei250167.2020.9346701","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9346701","url":null,"abstract":"A certain 220kV transmission line is arranged in the north-south direction, and the preformed helical dampers are adopted to prevent aeolian vibration of conductors. During the inspection of hidden defects of the transmission line at the beginning of 2016, it was found that a large number of conductors were worn by preformed helical clamps of the dampers, which seriously affected the safe and stable operation of the transmission line. In this paper, the failure causes of conductor wire are analyzed from several aspects including anti-vibration mechanism, damper structure, meteorological conditions along the line and anti-vibration measures. In addition, corresponding improvement measures and suggestions are put forward.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"31 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116064527","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}
Siwei Liu, Shangrun Yao, Hongji Yang, Ming Zhou, Changyu Deng, Xiao Wang
{"title":"Operation Optimization of Concentrating Solar Power-Wind-Photovoltaic Combined Power Generation System","authors":"Siwei Liu, Shangrun Yao, Hongji Yang, Ming Zhou, Changyu Deng, Xiao Wang","doi":"10.1109/ei250167.2020.9346613","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9346613","url":null,"abstract":"As a novel utilization of solar energy, Concentrating Solar Power(CSP) can maintain the system inertia and stable output through the conversion of solar, heat storage and electricity generation, which can alleviate the development bottleneck of high energy curtailment rate that the current renewable energy base faced with. In this context, the combined generation of CSP-wind-photovoltaic will become an important development direction. In this paper, the electric heater is introduced into the CSP plant to realize the reuse of energy curtailment of wind and photovoltaic. On this basis, the operation optimization model of the CSP-wind-photovoltaic combined power generation system considering the energy curtailment and the life of the CSP plant is established. Next, the model is linearized as a mixed integer linear programming problem. Then, case study demonstrates the effectiveness of the proposed model. Results show that the operation mode of the CSP plant varies during a day and the electric heater is of great significance in reducing the energy curtailment.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"534 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116234019","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 of Insulator Fault Identification Method Based on Atlas Intelligent Computing Platform","authors":"Hantao Tao, Peiyao Yan, Bingjie Bai, Bo Zhang, Yuhe Fang, Yuangen Xu","doi":"10.1109/EI250167.2020.9347007","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9347007","url":null,"abstract":"Transmission line monitoring plays a crucial role in the safe operation of the power grid. The application of image recognition technology based on artificial intelligence algorithms can improve the efficiency of fault identification and reduce the labor cost. Object detection is to detect the object of interest in the given picture and is an effective method to recognize the fault location. This paper proposed an insulator fault identification method based on the Atlas intelligent computing platform aiming at the characteristics of small insulator fault data set. This method adopts the SSD300 model for training and inference and analysis is carried out based on the Atlas intelligent computing platform. The experiment results show that the SSD300 model can be ported well to the Atlas intelligent computing platform without reducing the recognition accuracy. At the same time, the model size is decreased.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410117","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 Comprehensive Evaluation for New Energy Big Data Service Project based on Prospect Theory and TOPSIS","authors":"Renjie Chen, Xiaotao Peng, Huaqu Li, Shouwen Liu, Jun Yang, Xuzhu Dong","doi":"10.1109/EI250167.2020.9346738","DOIUrl":"https://doi.org/10.1109/EI250167.2020.9346738","url":null,"abstract":"This paper from considering the purpose and demand of new energy big data service, the comprehensive evaluation index system for comprehensively evaluating the operational efficiency of new energy big data service is constructed from four aspects of economy, technology, environmental benefits and social services. In the same time, the comprehensive empowerment method based on improved hierarchical analysis and entropy is also studied using the principle of minimum discriminatory information. Secondly, to address the shortcoming that the subjective risk tendency of decision makers probably takes impact on the results of the index-based comprehensive evaluation of decision-making, this paper introduces the prospect theory. Considering the limited rationality of investors and risk assessment, the prospect theory and TOPSIS method are combined to further propose the method which uses the results of the comprehensive efficiency assessment of new energy big data service projects to rank the optimal scenarios. Finally, the effectiveness of both the comprehensive benefit evaluation index system and evaluation method is verified by simulation.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"44 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116457622","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":"[EI2 2020 Front cover]","authors":"","doi":"10.1109/ei250167.2020.9346719","DOIUrl":"https://doi.org/10.1109/ei250167.2020.9346719","url":null,"abstract":"","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116461958","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}