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Power distribution network elasticity evaluation method under typhoon disaster

A technology for distribution network and typhoon, applied in data processing applications, instruments, design optimization/simulation, etc., to solve problems such as power outages and economic losses

Pending Publication Date: 2022-03-01
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
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  • Description
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AI Technical Summary

Problems solved by technology

[0002] The impact of extreme weather on key power infrastructure has received more and more attention. For example, the snow disaster in China in 2008 and Hurricane Sandy in the United States in 2012 caused the collapse or disconnection of power line towers, causing widespread power outages and causing huge damage. Economic losses

Method used

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  • Power distribution network elasticity evaluation method under typhoon disaster
  • Power distribution network elasticity evaluation method under typhoon disaster
  • Power distribution network elasticity evaluation method under typhoon disaster

Examples

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Embodiment

[0056] Example: such as figure 1 As shown, the present invention discloses a method for evaluating distribution network elasticity under a typhoon disaster; including the following steps:

[0057] S1. Consider the typhoon generation scenario, and establish a typhoon probabilistic model according to the typhoon historical data; specifically, S1 includes the following steps:

[0058] S101, first select four elements for generating a typhoon: the landing site of the typhoon, the air pressure difference at the center of the typhoon, the movement direction of the typhoon, and the movement speed of the typhoon;

[0059] S102. Establish a probabilistic typhoon model according to the probability density function distribution of the four typhoon generation elements.

[0060] According to the probability density function distribution of the four elements of typhoon generation, the typhoon model is established as follows:

[0061] ΔP(t)=ΔP(0)-0.02×[1+sin(α-β)]×t

[0062]Among them, α ...

specific example

[0095] In order to verify the effectiveness of the resilience assessment framework, the improved IEEE 33 distribution network system is used in this example for verification. Wiring diagram as Figure 4 shown. Among them, some access points of wind power, photovoltaic and energy storage are shown in Table 1. The nominal voltage of the test system is 12.66kV, and the total load is 3.80MW, 2.69MVAR. The ESS charge and discharge efficiencies are 0.95, respectively, and the rated discharge time is 6h. Assume the initial SOC of the ESS is 80% of the rated capacity. It is assumed that healthy parts of the network form the largest possible microgrid and operate protection devices accordingly. The reactive power limit of CDG and ESS is assumed to be 70% of the rated capacity, and the operating costs related to PV and ESS are ignored.

[0096] Table 1. Distributed power supply wiring information

[0097]

[0098] Such as Figure 5 As shown, according to the four elements that ...

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Abstract

The invention discloses a power distribution network elasticity evaluation method under typhoon disasters, and the method comprises the following steps: S1, considering a typhoon generation scene, and building a typhoon model according to the typhoon historical data; s2, considering time-space factors of typhoon, and establishing a vulnerability model of the typhoon to lines and towers of the power distribution network unit; s3, performing island division on the distribution network by adopting a breadth-first search algorithm, calculating a load loss amount of an island microgrid, and quantitatively performing elastic evaluation on the distribution network according to an elastic index; and S4, establishing an elastic index which comprehensively considers the typhoon occurrence probability and the load loss capacity of each partition, and quantitatively performing elastic evaluation on the power distribution network. According to the method provided by the scheme, the influence of each factor on the elastic evaluation of the distribution network can be accurately considered, and a quantitative reference basis is provided for later planning and scheduling of a power system.

Description

technical field [0001] The invention relates to the field of distribution network elasticity evaluation, in particular to a distribution network elasticity evaluation method under a typhoon disaster. Background technique [0002] The impact of extreme weather on key power infrastructure has received more and more attention. For example, the snow disaster in China in 2008 and Hurricane Sandy in the United States in 2012 caused the collapse or disconnection of power line towers, causing widespread power outages and causing huge damage. Economic losses. Under extreme weather conditions, multiple faults often occur in the distribution network. At this time, only considering the N-1 safety criterion of the distribution network is not enough to ensure the safe operation of the distribution network, and the flexibility of the distribution network must also be considered. Resilience is defined as the ability of the power grid to cope with small probability, extreme events and quick...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q50/06G06F111/08
CPCG06F30/20G06Q50/06G06F2111/08
Inventor 吴振杰黄天恩莫雅俊李祥王源涛唐剑周志全牛涛张洁薛霖徐双蝶李凡李成达张超王艳廖培夏衍董航周依希孙思聪许鹏陈嘉宁苏熀兴祝文澜向新宇
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
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