2021 China International Conference on Electricity Distribution (CICED)最新文献_第5页

Research on AHP-based Multi-factor Medium Voltage Distribution Network Line Risk Quantitative Assessment Method 基于层次分析法的多因素中压配电网线路风险定量评估方法研究

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556691

D. Nie, Litao Fan, Ke Wang, Youle Song, Yi Gao, Gang Miao

{"title":"Research on AHP-based Multi-factor Medium Voltage Distribution Network Line Risk Quantitative Assessment Method","authors":"D. Nie, Litao Fan, Ke Wang, Youle Song, Yi Gao, Gang Miao","doi":"10.1109/CICED50259.2021.9556691","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556691","url":null,"abstract":"In order to improve the risk management and control methods of distribution network and safe and reliable operation, according to the influencing factors of distribution network re-tripping and the harm degree of power outages, firstly, the machine learning algorithm is used to predict the possibility of distribution network tripping, and then combined with the analytic hierarchy process to determine the distribution The weight of each influencing factor of the network risk is calculated to obtain the probability of re-tripping of the distribution network under the combined effect of different influencing factors. Then, by calculating the value of the power outage hazard on different lines, the risk of re-tripping of the distribution network is quantified using the definition of risk quantification. Finally, the feasibility of the method to quantify the risk of line operation is verified by using high-frequency re-hopping lines in a certain area. The example verification results show that: using this method can effectively evaluate distribution network line risks and can provide decision support for distribution network risk management and control.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"47 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":"124112091","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}

引用次数: 4

Discussion on the evaluation method of current unbalance compensation effect of three-phase unbalanced load adjusting device in distribution network 配电网三相不平衡负荷调节装置电流不平衡补偿效果评价方法探讨

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556702

Du Yan, Chen Jiangbo, Li Hui, Yin Jing, Shao Minfeng, Guo Huihao

{"title":"Discussion on the evaluation method of current unbalance compensation effect of three-phase unbalanced load adjusting device in distribution network","authors":"Du Yan, Chen Jiangbo, Li Hui, Yin Jing, Shao Minfeng, Guo Huihao","doi":"10.1109/CICED50259.2021.9556702","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556702","url":null,"abstract":"Three-phase load imbalance in low-voltage distribution network is inevitable and exists for a long time. And a lot of devices are developed to solve the problems. However, in the current national standards and trade standards, there are only clear provisions on three-phase voltage imbalance, the provisions and test methods of three-phase current imbalance are relatively vague, and the compensation effect of the above devices cannot be effectively judged. From the perspective above, this paper establishes a 400V true low-voltage distribution network test platform, analyzes and determines the key parameters influencing the unbalanced current compensation ability in three-phase unbalanced load compensation device, and through reasonable settings for three-phase unbalanced working conditions, making the performance test verification of the current unbalance compensation effect of the products of several different manufacturers. The results show that the method can effectively evaluate the current imbalance compensation effect of the three-phase unbalanced load adjusting device, and is of guiding significance for standard revision and similar testing.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"77 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":"125265126","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}

引用次数: 2

Comprehensive evaluation of power quality based on improved TOPSIS-RSR method 基于改进TOPSIS-RSR方法的电能质量综合评价

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556735

Yuting Qiu, Zhufu Shen, Zhengda Shao, Jidong Shi, Lei Xie, Jun Wu

{"title":"Comprehensive evaluation of power quality based on improved TOPSIS-RSR method","authors":"Yuting Qiu, Zhufu Shen, Zhengda Shao, Jidong Shi, Lei Xie, Jun Wu","doi":"10.1109/CICED50259.2021.9556735","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556735","url":null,"abstract":"To solve the complexity of the existing power quality evaluation model as well as the randomness and fuzziness in the grading evaluation of power quality, a comprehensive evaluation method of power quality based on the improved TOPSIS⁃RSR method is proposed. Entropy method is used to calculate the weight of the power quality index, and the TOPSIS (technique for order preference by similarity to an ideal solution) method is used for comprehensive evaluation of power quality. The concept of relative similarity distance is raised to deal with the problem existing in traditional TOPSIS method, that is, in some cases the evaluated objects cannot be compared with each other effectively. Combination of the relative similarity distance with RSR (rank sum ratio) is adopted to further analyze the evaluation results for expansion. The evaluated objects are graded according to the normal equivalent deviation. Example verification of the power quality data from five observation points in a 380 V observation station is carried out, and the results are compared with those of other methods. It is shown that the improved TOPSIS method combined with RSR method can make reasonable evaluation and grading for power quality of evaluated objects with high accuracy and expansibility.","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":"124643112","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}

引用次数: 3

Stochastic power fluctuations analysis on relationship between the tie-line of interconnected power systems and bus power injection 互联电力系统配线与母线功率注入关系的随机功率波动分析

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556671

Xiaobo Liu, Minyi Jiang, Qiu Wang, Fei Wang, Xuesong Jiang

引用次数: 0

Recurrent Faults Identification in Medium Voltage Distribution System for Fault Early Warning 面向故障预警的中压配电系统经常性故障识别

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556810

Tian Chu, Z. Pu, Wenhai Zhang, Lin Chen, Xianyong Xiao

{"title":"Recurrent Faults Identification in Medium Voltage Distribution System for Fault Early Warning","authors":"Tian Chu, Z. Pu, Wenhai Zhang, Lin Chen, Xianyong Xiao","doi":"10.1109/CICED50259.2021.9556810","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556810","url":null,"abstract":"The subject addressed in this paper is identifying the recurrent faults from the recorded disturbance waveforms. The electrical equipment may experience self-clearing and instantaneous fault before the permanent faults occur, gradually reducing the insulation performance of the equipment. These faults are called incipient fault, which cannot be detected by the overcurrent relay for its low magnitude or short duration, but can occur many times before the permanent fault. At present, scholars have conducted related research of incipient faults. However, the causes of incipient fault may be different, it is difficult to apply these research methods to distribution fault early warning. Meanwhile, some incipient faults imply the high correlation and the same underlying causes. Such faults refer to recurrent faults . Therefore, recurrent faults identification should be finished before analyzing their cumulative effect on the permanent fault. Identification of these recurrent faults will facilitate distribution fault early warning and contributing to improving power supply reliability.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"3 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":"122316324","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}

引用次数: 0

Active Distribution Network Reconfiguration Based on Prim Algorithm and Chaos Particle Swarm Optimization 基于Prim算法和混沌粒子群优化的配电网主动重构

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556798

Wang Zhengyu, Xu Haixiang, Cui Yang, Wang Jingran, Wu Linlin

引用次数: 0

Influence of power-to-heat installations on wind power consumption in regional energy system 区域能源系统中热电联产装置对风电消耗的影响

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556770

B. Liu, Li Liu, Tianhe Sun

{"title":"Influence of power-to-heat installations on wind power consumption in regional energy system","authors":"B. Liu, Li Liu, Tianhe Sun","doi":"10.1109/CICED50259.2021.9556770","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556770","url":null,"abstract":"The regional energy system uses the coupling of multiple energy systems to replace the independent operation of the traditional single energy system, effectively reducing primary energy consumption and carbon emissions.However, with the increase of wind turbines, the problem of wind abandoning becomes increasingly prominent.How to improve the consumption of surplus wind power on the basis of the existing flexible device is an urgent problem to be solved in the current regional energy system.Therefore, this paper studies the influence of the capacity configuration of the power-to-heat installations on the absorption of wind abandoning in the electric-thermal system.First of all, based on the investment cost of heat pump and electric boiler, operation and maintenance cost, and the minimum total cost of discounted coal consumption cost of the system, the optimization model of cogeneration regional energy system with power-to-heat installations was established.Finally, a simulation analysis of the capacity configuration of the power-to-heat installations is carried out through the Energy Plan platform based on data such as the electric heating demand of a certain place, and a case study is carried out with a period of one year.The results show that after the proper capacity configuration of the power-to-heat installations, the system can be changed to determine the power by heat, and the flexibility of the system can be improved. In addition to meeting the electric heating demand, the total investment and operation costs are reduced to improve the consumption level of wind power.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"10 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":"125697348","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}

引用次数: 0

Dielectric Properties of HFC-134a mixtures with CO2 as a possible SF6-substitute gas HFC-134a混合物与CO2作为sf6替代气体的介电性能

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556684

Yunkun Deng, Zengyao Tian, Hu Zhao

引用次数: 0

Probability prediction method of branch crossing risk based on gaussian mixture model 基于高斯混合模型的分支交叉风险概率预测方法

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556686

Shaofang Wang, Li Li, Miao Wang, Zhihong Li, Yin Zhang, Bo Sun

{"title":"Probability prediction method of branch crossing risk based on gaussian mixture model","authors":"Shaofang Wang, Li Li, Miao Wang, Zhihong Li, Yin Zhang, Bo Sun","doi":"10.1109/CICED50259.2021.9556686","DOIUrl":"https://doi.org/10.1109/CICED50259.2021.9556686","url":null,"abstract":"In this paper, a probability prediction method based on gaussian mixture model is proposed to predict the risk of branch exceeding the limit. Firstly, according to the minimum and maximum value of active power, each aggregate load in the regional power grid is divided into several sections, i.e. several states of aggregate load. Based on the high-order Markov chain technology, the probability distribution of the state vector of active power at the next time of aggregate load in the regional power grid is given. On this basis, the Gaussian mixture model of each aggregate load is established, and each state of active power of each aggregate load is regarded as a probability distribution in the Gaussian mixture model, thus the gaussian mixture model of active power of each aggregate load is established. Based on the road matrix, the probability distribution function of the active power of each branch of the regional power grid is given, and then the probability distribution function of the active power of the branch at the next time is obtained, which provides the probability information for judging the next time limit of the branch. The effectiveness of the proposed method is verified by an example.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"62 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":"133583171","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}

引用次数: 0

Analysis of short circuit current of transformers in both mechanical and thermal ways 从机械和热两方面分析变压器短路电流

2021 China International Conference on Electricity Distribution (CICED) Pub Date : 2021-04-07 DOI: 10.1109/CICED50259.2021.9556769

Ma Hao, Wang Wei, Xi Xiaoguang, Liu Guangzhen, Liu Liqing, Y. Chuang, Feng Junji

引用次数: 0