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Power distribution network toughness improvement strategy based on environmental data prediction

An environmental data, distribution network technology, applied in the direction of constraint-based CAD, prediction, data processing applications, etc., can solve problems such as resilience recovery strategy, evaluation, lack of fault scenario optimization and screening process of unfavorable distribution network, and achieve improvement. The effect of distribution network resilience, improving forecast level, and improving early warning capability

Pending Publication Date: 2022-01-21
FUSHUN POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +1
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  • Application Information

AI Technical Summary

Problems solved by technology

But in general, these works are still in the initial stage of exploration, and the research lacks a complete optimization and screening process of fault scenarios, which is not conducive to the evaluation of distribution network resilience recovery strategies

Method used

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  • Power distribution network toughness improvement strategy based on environmental data prediction
  • Power distribution network toughness improvement strategy based on environmental data prediction
  • Power distribution network toughness improvement strategy based on environmental data prediction

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Embodiment 1

[0026] The present invention is a distribution network toughness improvement strategy based on environmental data prediction, including the following steps:

[0027] Step 1: Perception of multi-source environmental data elements, dynamic extraction and knowledge mapping technology of knowledge elements for distribution network fault recovery based on heterogeneous data such as distribution network operation data and fault evolution. Prediction of comprehensive environmental data on the internal and external operating conditions of the distribution network can more accurately analyze and predict the vulnerable links of the distribution network, thereby significantly improving the early warning ability of disaster risks:

[0028] Step (1) The environmental data prediction is divided into network topology, power grid power supply equipment and network defense resources, etc., which is closely related to the improvement of distribution network resilience.

[0029] Among them, the ...

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Abstract

The invention relates to a power distribution network toughness improvement strategy based on environmental data prediction. Comprehensive environment data prediction analysis is carried out on the operation condition of a power distribution network and vulnerable links of the power distribution network are predicted, so that the early warning capability of disaster risks is improved; a power distribution network vulnerability prediction model based on environmental data pre-judgment is established, and the fault rate prediction level is improved; a power distribution network fault bearing capacity evaluation method based on environmental data is provided, and a power distribution network fault bearing capacity evaluation method is provided; the influence of ice disaster on the toughness of a power distribution network is reflected by using the change of system performance, and a power distribution network toughness evaluation model is established; the invention aims at implementing planning and scheduling measures for improving the toughness of a power distribution network in a catastrophe defense stage and a post-disaster recovery stage, and further provides a power distribution network toughness improvement strategy under environmental data pre-judgment. According to the invention, the toughness of a power distribution network is comprehensively improved in a disaster process and a post-disaster process through coordination and cooperation of active defense before a fault occurs and fault recovery after disaster.

Description

technical field [0001] The invention belongs to the technical field of operation control of electric power systems, and in particular relates to a distribution network toughness improvement strategy based on environmental data prediction. Background technique [0002] As a key link that directly serves users, the normal operation of the distribution network under extreme weather conditions is of great significance to protecting people's production and life, resisting disasters, and promoting social development. The disaster response capability of the distribution network has thus been widely recognized. s concern. On this basis, the distribution network introduces the concept of resilience to evaluate the ability of the distribution network to reduce the loss caused by faults and restore the normal power supply state as soon as possible under extreme weather conditions. In order to avoid the occurrence of large-scale power outages caused by extreme weather disasters, it is ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F30/20G06F111/04G06F111/08G06F113/04G06F119/06
CPCG06Q10/04G06Q50/06G06F30/20G06F2111/04G06F2111/08G06F2113/04G06F2119/06
Inventor 付东张海靳双源刘正祎丁以心张瑶瑶李默涵李智王万甲郑秀春金银龙路天峰张祥贾俊海王震吕红毓王智宇路学文肖隆君刘书剑吴厚义
Owner FUSHUN POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY
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