城区变电站周边商民用建筑物的安全分析和评估
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摘要
随着中国社会经济的发展,不断出现变电站位于城区和市区的情况。为了更好的评估城区变电站周边商民用建筑物的安全性,文章分析了城区变电站对周边商民用建筑物和设备设施的影响,研究了城区变电站故障电流对周边商民用接地系统的耦合干扰。建立了城区变电站故障电流耦合干扰分析模型,基于接地导体GPR(地电位升)这个重要指标,提出了耦合干扰系数概念。定量分析探讨了影响耦合干扰系数的主要参数、因素及其变化规律,给出了城区变电站和商民用建筑物接地系统安全评估和分析的建议流程。最后基于BP神经网络建立了耦合干扰系数计算模型,从而设计者可以基于现场实际情况快速得到商民用建筑物受到的耦合干扰具体数值。研究成果为城区变电站周边商民用建筑物的安全防护和评估提供了理论依据和工程指导。
With the development of China's social economy, there are more substations located in urban areas. In order to better evaluate the safety of commercial and civil buildings around the urban substation, this paper analyzes the influence of the urban substation on the surrounding commercial and civil buildings and equipment facilities, and studies the coupling interference of the fault current of the urban substation on the surrounding commercial and civil grounding system. The fault current coupling interference analysis model of urban substation is established and based on the important index of ground conductor GPR(ground potential rise), the concept of coupling interference coefficient is proposed. This paper discusses the main parameters, factors and their changing rules that affect the coupling interference coefficient quantitatively, and gives the recommended flow of safety assessment and analysis for the urban substation and the commercial and civil building grounding system. Finally, a coupling interference level calculation model is established based on BP neural network, so that the coupling interference level can be quickly obtained based on the actual situation in the field. The research results provide theoretical basis and engineering guidance for the design of the grounding system in the urban substation and the safety protection of the commercial and civil buildings surrounding the substation.
With the development of China's social economy, there are more substations located in urban areas. In order to better evaluate the safety of commercial and civil buildings around the urban substation, this paper analyzes the influence of the urban substation on the surrounding commercial and civil buildings and equipment facilities, and studies the coupling interference of the fault current of the urban substation on the surrounding commercial and civil grounding system. The fault current coupling interference analysis model of urban substation is established and based on the important index of ground conductor GPR(ground potential rise), the concept of coupling interference coefficient is proposed. This paper discusses the main parameters, factors and their changing rules that affect the coupling interference coefficient quantitatively, and gives the recommended flow of safety assessment and analysis for the urban substation and the commercial and civil building grounding system. Finally, a coupling interference level calculation model is established based on BP neural network, so that the coupling interference level can be quickly obtained based on the actual situation in the field. The research results provide theoretical basis and engineering guidance for the design of the grounding system in the urban substation and the safety protection of the commercial and civil buildings surrounding the substation.
引文
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[17]付龙海,吴广宁,王颢,等.青藏铁路望楚段变电站土壤结构参数的确定[J].高电压技术,2006,32(2):84-86.
[2]李谦.发电厂和变电站接地网安全性状态评估[M].北京:中国电力出版社,2013.
[3]何金良.电力系统接地技术[M].北京:科学出版社,2007.
[4]IEEE Std80-2013.IEEE Guide for Safety in AC Substation Grounding[S].
[5]吴广宁,付龙海,王颢,等.基于改进遗传算法的接地网优化设计 [J].西南交通大学学报,2007,42(2):169-174.
[6]周亮,徐俊,刘垚,等.市内变电站接地系统的设计和分析[J].电网与清洁能源,2016,32(12):28-33.
[7]付龙海.水平双层土壤对接地网电气特性的影响 [J].电气应用,2008,27(14):42-44,47.
[8]李增,吴广宁,付龙海,等.双层结构土壤模型中变电站地网接地电阻的简化计算[J].高电压技术,2008,34(1):45-48.
[9]李谦,肖磊石,饶章权.广东电网变电站接地网安全性状态评估及应用[J].南方电网技术,2013,7(5):21-26.
[10]郭在华,邢天放,吴广宁,等.冰冻土壤中垂直接地极的接地电阻变化规律[J].高电压技术,2014,40(3):698-706.
[11] Dawalibi F P,Donoso F.Integrated analysis software for grounding,EMF and EMI[J].IEEE Computer Applications in Power,1993,6(2):19-24.
[12]付龙海.变电站接地网辅助设计工具功能的讨论及研制[J].电气应用,2011,30(7):81-83.
[13]牛晓民.电力系统接地分析软件CDEGS简介[J].华北电力技术,2004(12):29-31.
[14]李谦,肖磊石,饶章权.数值仿真在变电站接地网安全性状态评价中的应用[J].高压电器,2013,49(10):133-140.
[15]陈明.MATLAB神经网络原理与实例精解[M].北京:清华大学出版社,2013.
[16]吴岸城.神经网络与深度学习[M].北京:电子工业出版社,2016.
[17]付龙海,吴广宁,王颢,等.青藏铁路望楚段变电站土壤结构参数的确定[J].高电压技术,2006,32(2):84-86.