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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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

Received: 30 June 2022

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TM727.2

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	Articles by authors
	Yao Fuxing¹
	Miao Shihong¹
	Tu Qingyu¹
	Sun Qian²
	Li Fengjun²

Cite this article:

Yao Fuxing¹,Miao Shihong¹,Tu Qingyu¹等. Risk Warning and Optimization Processing for Tree-Line Contradiction in Rural Distribution Network Considering Severe Convective Weather[J]. Transactions of China Electrotechnical Society, 2023, 38(22): 6188-6203.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.221267 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I22/6188

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