Smart Grid

Journal Information
ISSN / EISSN : 2161-8763 / 2161-8771
Current Publisher: Hans Publishers (10.12677)
Total articles ≅ 395
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潼王 雨
Published: 1 January 2020
Smart Grid, Volume 10, pp 29-37; doi:10.12677/sg.2020.102004

Abstract:
随着城市规模不断扩大,配电网电缆化占比越来越高,电缆故障发生率也随之提高。由于单相接地故障形式多样,受过渡电阻、中性点接地方式、电流互感器不平衡等因素影响较大,故障检测与排查难度较大,电缆沟爆炸等事故多发,严重影响了供电的可靠性。因此,有必要对配电网电缆接地故障保护方法进行研究与改进。本文对中性点不接地、消弧线圈接地、小电阻接地配电网电缆单相接地故障零序电流分布特征进行了分析,在此基础上,计及过渡电阻的影响和电流互感器误差影响,提出了一种基于双电流互感器的电缆故障差动保护方法。通过在电缆馈线两端分别安装两组不同量程的电流互感器,一定程度上减小了电流互感器误差,提高了差动保护的灵敏度。仿真结果表明,相比于传统单一互感器,基于双电流互感器的电缆故障差动保护具有更高的抗过渡电阻能力和灵敏度。 As the urban construction process accelerates, the proportion of cable distribution in distribution networks is increasing, and the incidence of cable failures is also increasing. Due to the various forms of single-phase grounding faults, fault protection is greatly affected by factors such as transi-tion resistance, neutral grounding mode and current transformer imbalance. Fault troubleshooting is difficult, and cable trench explosions and other accidents occur frequently, which seriously af-fects the reliability of power supply. Therefore, it is necessary to study and improve the grounding fault protection method for distribution network. In this paper, the zero-sequence current distri-bution characteristics of single-phase grounding faults are analyzed in distribution network with neutral point ungrounded, arc-suppression coil grounded and small-resistance grounded. On this basis, considering the influence of transition resistance and the current transformer error, a cable fault differential current protection method based on dual current transformer is proposed. By in-stalling two sets of current transformers with different ranges at the two ends of the cable, the cur-rent transformer error is reduced to some extent, and the sensitivity of the differential protection is improved. The simulation results show that compared with the traditional single transformer, the cable fault differential current protection based on dual current transformer has higher re-sistance to transition resistance and sensitivity.
亮瞿 恒
Published: 1 January 2020
Smart Grid, Volume 10, pp 46-53; doi:10.12677/sg.2020.102006

Abstract:
本文对知识图谱关键技术进行研究,提出一种多数据源融合的电力物资供应商评价知识图谱构建流程。采用自顶向下知识图谱进行本体构建,再进行知识抽取、知识表示、知识融合,最后进行知识存储。实现对不同信息系统内的供应商评价知识图谱,方便查询和可视化展示。实现从多个维度对供应商评价数据进行汇总,得到综合评价,为对供应商制定精准监造策略提供了坚实的数据依据。 In this paper, the key technology of knowledge graph is studied, and a process of building knowledge graph of power material supplier evaluation based on multi data source fusion is pro-posed. The top-down knowledge graph is used for ontology construction, knowledge extraction, knowledge representation, knowledge fusion, and finally knowledge storage to realize the knowledge graph of supplier evaluation in different information systems, which is convenient for query and visual display. It can summarize the supplier evaluation data from multiple dimensions and get comprehensive evaluation, which provides a solid data basis for the formulation of precise manufacturing supervision strategy for suppliers.
荣曾 华
Published: 1 January 2020
Smart Grid, Volume 10, pp 38-45; doi:10.12677/sg.2020.102005

Abstract:
输电线路绝缘子积污过程中因受到电场类型、外界环境及其结构特征的影响,绝缘子表面的绝缘性能不断下降并对电网的安全稳定运行造成潜在的风险。为研究输电线路污秽绝缘子放电特征,本文通过搭建输电线路污秽绝缘子放电试验平台,制作了典型污秽条件下的模拟污秽绝缘子试品,并在此基础上通过大量模拟试验研究了污秽绝缘子的放电过程。通过采用紫外成像、高速摄像机、以及高频电流监测终端获得了污秽绝缘子在不同阶段典型放电数据,并通过结果分析得到污秽绝缘子在各个发展阶段的放电呈现显著区别。研究得到不同阶段输电线路放电过程的特征参数,为电力运维人员采用联合手段监测输电线路绝缘子状态及其构建污秽放电数据库提供了参考。 Due to the influence of the type of electric field, the external environment and its structural char-acteristics on the pollution process of transmission line insulators, the insulation performance of insulator surfaces has been declining and it has caused potential risks for the safe and stable oper-ation of power grid. In order to study the discharge characteristics of polluted insulator in trans-mission line, the discharge test platform for contaminated insulator in transmission line is set up in this paper, and the simulated polluted insulator under typical polluted conditions is made. On this basis, the discharge process of contaminated insulator is studied through a large number of simu-lated tests. The typical discharge data of polluted insulator in different stages are obtained by using UV imaging, high-speed camera and high-frequency current monitoring terminal. The results show that the discharge of polluted insulator in different stages is significantly different. The character-istic parameters of different stages of transmission line discharge process are obtained, which pro-vides a reference for the power operation and maintenance personnel to monitor the state of transmission line insulators by joint means and build the contaminated discharge database of transmission line insulator.
峰张 雪
Published: 1 January 2020
Smart Grid, Volume 10, pp 148-156; doi:10.12677/sg.2020.104016

The publisher has not yet granted permission to display this abstract.
礼邢 占
Published: 1 January 2020
Smart Grid, Volume 10, pp 204-210; doi:10.12677/sg.2020.104023

Abstract:
配电网中过电压故障因其对电力设备和系统具有较大破坏性而需要及时响应和处理,当电力系统实现泛在物联时,过电压类故障可不必进入泛在电力物联网云平台进行数据采集和集成,而是可以先采用本地化控制、分布式处理的方式进行边缘计算,数据传输与通信是实现边缘计算的重要基础。面向泛在电力物联网,提出了5G通信技术在过电压类故障边缘计算中的应用框架,构建了基于边缘计算分层协治的配电网故障识别与响应模型,设想了5G通信应用场景。 The over-voltage fault in the distribution network needs to respond and deal with in time because of its great destructiveness to the power equipment and system. When the power system realizes ubiquitous IOT, the over-voltage fault cannot enter the ubiquitous power IOT cloud platform for data collection and integration, but can first use localized control and distributed processing for edge calculation, data transmission and communication. It is an important foundation of edge computing. For ubiquitous power Internet of things, the application framework of 5G communication technology in over-voltage fault edge calculation is proposed, the fault identification and response model of distribution network based on edge calculation and hierarchical co governance is constructed, and 5G communication application scenario is envisaged.
胡 拂
Published: 1 January 2020
Smart Grid, Volume 10, pp 101-107; doi:10.12677/sg.2020.103011

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易 斌
Published: 1 January 2020
Smart Grid, Volume 10, pp 121-130; doi:10.12677/sg.2020.103013

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王 昊
Published: 1 January 2020
Smart Grid, Volume 10, pp 90-100; doi:10.12677/sg.2020.103010

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强靳 海
Published: 1 January 2020
Smart Grid, Volume 10, pp 240-248; doi:10.12677/sg.2020.105027

The publisher has not yet granted permission to display this abstract.
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