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计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法

郭明鑫 李少岩 顾雪平

电力系统保护与控制2024,Vol.52Issue(3):62-73,12.
电力系统保护与控制2024,Vol.52Issue(3):62-73,12.DOI:10.19783/j.cnki.pspc.230719

计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法

Differentiated reinforcement planning method for a distribution network considering simulation of the whole process of typhoon disasters

郭明鑫 1李少岩 1顾雪平1

作者信息

  • 1. 华北电力大学电气与电子工程学院,河北 保定 071003
  • 折叠

摘要

Abstract

Typhoons can have a serious impact on a distribution network,so it is very important to formulate the windproof reinforcement planning scheme of overhead lines.To improve the resilience to natural disasters,a method for improving distribution network planning based on the whole process simulation of typhoon disasters is proposed.By simulating the real-time wind condition of the whole process from typhoon landing to typhoon extinction,differentiated reinforcement is implemented for each line.First,the Dirichlet process mixture model(DPMM)clustering algorithm is used to extract typical typhoon landing scenarios,and the storm track model and Batts wind field model are combined to simulate the typhoon moving path and wind field,and the real-time fault probability of distribution network lines is calculated.Secondly,combined with the typhoon simulation results and the differential overhead line failure rate in different wind speed standards,a double-layer stochastic programming model is established with the objective of minimizing the annual investment cost of multi-level line reinforcement,the cost of loss of load during typhoon transit,the loss of power outage and maintenance cost.It is analyzed using Benders decomposition algorithm.Finally,taking the improved IEEE33 node system as an example,the effectiveness of the proposed method is verified.

关键词

极端天气/灾害模拟/配电网/韧性提升/差异化加固

Key words

extreme weather/disaster simulation/distribution network/resilience enhancement/differentiated reinforcement

引用本文复制引用

郭明鑫,李少岩,顾雪平..计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法[J].电力系统保护与控制,2024,52(3):62-73,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52107092). 国家自然科学基金项目资助(52107092) (No.52107092)

河北省自然科学基金项目资助(E2019502195)和中央高校基本科研业务费专项基金项目资助(2021MS063) (E2019502195)

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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