Power distribution network disaster early warning grading method integrating multiple types of index thresholds
A grading method and distribution network technology, applied in alarms, data processing applications, instruments, etc., can solve the problems of complex early warning indicators of distribution network and difficulty in accurately assessing distribution network risks
Pending Publication Date: 2022-05-06
WENZHOU ELECTRIC POWER BUREAU +2
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In order to realize the fine-grained early warning of distribution network for different scales of catastrophe damage, it is necessary to comprehensively consider the actual needs of distribution network and multiple types of indicators to carry out disaster early warning classification, and at the same time, it can overcome the complexity of early warning indicators of distribution network and the difficulty of accurately assessing the risk of distribution network Difficulties
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[0073] Example: such as figure 1 As shown, a distribution network disaster early warning classification method that integrates multiple index thresholds includes the following steps:
[0074] Step 1: According to the actual demand of the distribution network and the multi-dimensional and multi-level distribution network elasticity evaluation system, select the basic early warning index combination suitable for distribution network disaster early warning; the basic early warning index combination includes load indicators and grid indicators , elastic resource indicators, fault maintenance indicators, and meteorological indicators; according to the different types of indicators, use corresponding methods to standardize them.
[0075] Specifically, as shown in Table 1, according to the actual needs of the distribution network and the feasibility of indicators in real-time early warning, the five types of elastic indicators shown in Table 1 are used as the basic indicators for ear...
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The invention discloses a power distribution network disaster early warning grading method integrating multiple types of index thresholds. The method comprises the following steps of 1, selecting a basic early warning index combination; 2, carrying out per-unit processing on the basic early warning index combination; 3, determining the weight of the basic early warning index of the elastic power distribution network by using an entropy weight method; 4, calculating the correlation degree of the historical data samples according to grey correlation analysis, and sorting the basic early warning indexes according to the correlation degree; step 5, verifying and judging whether the early warning index does not have the situation of false early warning or early warning rejection, and if the situation of false early warning or early warning rejection occurs and verification is unreasonable, returning to the step 1 again to select the basic early warning index; and step 6, grading disaster events corresponding to the samples according to whether the correlation degree of the early warning indexes exceeds an early warning index correlation degree threshold value or not. The method is based on an entropy weight method and grey correlation analysis, and overcomes the difficulty that early warning indexes are complex and numerous, and system risks are difficult to assess accurately.
Description
technical field [0001] The invention relates to the technical field of electric disaster prevention and control, in particular to a distribution network disaster early warning and classification method that integrates multiple index thresholds. Background technique [0002] The distribution network is an important infrastructure to protect people's livelihood. It is necessary to improve the emergency response capacity of the distribution network to deal with extreme events and realize the rapid restoration of power supply after the impact of severe natural disasters, so as to ensure the normal operation of residents' basic life and key infrastructure, and maximize the Reduce social and economic losses caused by blackouts. [0003] At present, in terms of risk prediction and early warning, resistance means, recovery ability and decision support, etc., it is basically in a relatively passive state, lacking effective disaster prevention means and response measures. In order to...
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IPC IPC(8): G06Q10/06G06Q50/06G08B21/10
CPCG06Q10/0635G06Q10/06393G06Q50/06G08B21/10
Inventor 张彩友赵寿生汤耀景曹小伟林雅龚列谦吴旭光郭子黎马驹王坤烨李勇周震宇董学平黄朝董吴红轩郑源
Owner WENZHOU ELECTRIC POWER BUREAU