考虑强对流天气的乡镇配电网树线矛盾风险预警及优化处理

doi:10.19595/j.cnki.1000-6753.tces.221267

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摘要

电力线路周围树木生长与线路安全运行之间的矛盾（即树线矛盾）是影响乡镇配电网供电可靠性的重要因素。针对强对流天气来临之前乡镇配电网树线矛盾风险预警及清障处理需求,提出了一套“分区预警-总体权衡-优化处理”机制。首先,考虑强对流天气的地域关联特性,基于支持向量机建立了乡镇配电网各区域强对流天气-树线矛盾映射模型,实现树障接地风险的分区预警;然后,基于风险预警结果,以总体经济投入和停电损失最小为目标,建立了考虑强对流天气影响的乡镇配电网树线矛盾双层优化处理模型,决策各矛盾易发点的清障计划;最后,采用某乡镇强对流气象监测数据、树障接地故障记录以及改进的IEEE 33节点系统、123节点系统进行了算例分析。结果表明,所提模型能够有效挖掘强对流天气与树线矛盾间的映射关系,并给出经济性最优的事前清障计划,实现乡镇配电网树障接地风险的分区预警及优化处理。

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关键词 ：强对流天气, 乡镇配电网, 树线矛盾, 风险预警, 优化处理

Abstract：

The transmission lines of rural distribution networks often traverse areas with high vegetation coverage. During severe convective weather, the air between the line and surrounding trees is highly susceptible to breakdown and trigger grounding faults. Therefore it is necessary to carry out early warning and clearance treatment of tree-line contradiction risks before the arrival of severe convective weather to improve the power supply reliability of the rural distribution networks. However, most of the existing studies on tree-barrier monitoring and risk early warning have been modeled in terms of the growth characteristics of the trees themselves, without considering the influence of meteorological factors. On the other hand, since time is tight before the arrival of severe convective weather and the rural power companies have limited clearance resources, the pre-clearance process also requires planned power outage, the failure probability of each tree-line contradiction prone point should be taken into account, and the cost of clearance and loss of power outage should be weighed to make a proper decision on whether to take pre-clearance measures. Aiming at these, a set of " zonal early warning, overall trade-off, optimal processing" mechanism was proposed for the tree-line contradiction of rural distribution networks before the arrival of severe convective weather.
Firstly, considering the geographical correlation characteristic of severe convective weather, taking the meteorological monitoring information of the whole rural distribution network as the data to be classified, and using whether tree-barrier grounding fault occurs as the label, a mapping model of severe convective weather and tree-line contradiction in each region of the rural distribution network was established based on Support Vector Machine, so as to realize the zonal early warning of tree-barrier grounding risks; Secondly, based on the risk warning results, taking into account the constraints of clearance resources and the working time constraints of clearance teams, a two-layer optimization processing model of tree-line contradiction in rural distribution network considering the impact of severe convective weather was established with the objective of minimizing the overall economic investment and outage loss, and the clearance plan of each contradiction prone point was decided. Finally, the proposed model and method were validated by combining severe convective weather data and tree-barrier grounding fault records in a region of China, as well as the improved IEEE 33-node system and 123-node system for simulation analysis.
The following conclusions can be drawn from the simulation analysis: 1) The severe convective weather has a certain spatial correlation characteristic, and in the modeling process of tree-barrier grounding risks early warning, the exact description of this characteristic from the perspective of small-scale meteorological monitoring system can help to improve the accuracy of the model output. 2) The proposed risk early warning model in rural distribution network can effectively explore the mapping relationship between severe convective weather and tree-line contradiction, and realize the zonal early warning of tree-barrier grounding faults. 3) The proposed optimal processing model for tree-line contradiction in rural distribution network can properly balance the cost of troubleshooting and the outage loss at each contradiction prone point, and give an economically optimal pre-clearance plan, which is not affected by the change of system topology.

Key words： Severe convective weather rural distribution network tree-line contradiction risk warning optimization processing

收稿日期: 2022-06-30

PACS:

TM727.2

基金资助:

国网河南省电力公司科技项目资助（SGHADK00PJJS2100232）

通讯作者: 苗世洪男,1963年生,博士,教授,博士生导师,研究方向为配电网及微电网新技术、电网智能调度与自动化技术等。E-mail：shmiao@hust.edu.cn

作者简介: 姚福星男,1998年生,博士研究生,研究方向为配电网优化运行、储能优化规划及运行等。E-mail：yaofuxing@hust.edu.cn

引用本文:

姚福星, 苗世洪, 涂青宇, 孙芊, 李丰君. 考虑强对流天气的乡镇配电网树线矛盾风险预警及优化处理[J]. 电工技术学报, 0, (): 20235404-20235404. Yao Fuxing, Miao Shihong, Tu Qingyu, Sun Qian, Li Fengjun. Risk Warning and Optimization Processing for Tree-Line Contradiction in Rural Distribution Network Considering Severe Convective Weather. Transactions of China Electrotechnical Society, 0, (): 20235404-20235404.

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