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基于动态博弈理论的网源协同台风防御策略研究

Kai Su Liping Jiang Jizhen Liu

全球能源互联网(英文)2021,Vol.4Issue(3):285-294,10.
全球能源互联网(英文)2021,Vol.4Issue(3):285-294,10.DOI:10.14171/j.2096-5117.gei.2021.03.006

基于动态博弈理论的网源协同台风防御策略研究

Power source-power grid coordinated typhoon defense strategy based on multiagent dynamic game theory

Kai Su 1Liping Jiang 2Jizhen Liu3

作者信息

  • 1. Global Energy Interconnection Group Co.Ltd.,Ethiopia Branch,1000,Addis Ababa,Ethiopia
  • 2. State Grid Energy Research Institute Co.Ltd.,Beijing,102209,P.R.China
  • 3. North China Electric Power University,Beijing,102206,P.R.China
  • 折叠

摘要

Abstract

A power source-power grid coordinated typhoon defense strategy is proposed in this study to minimize the cost of power grid anti-typhoon reinforcement measures and improve defense efficiency.It is based on multiagent dynamic game theory.This strategy regards a typhoon as a rational gamer that always causes the greatest damage.Together with the grid planner and black start unit(BSU)planner,it forms a multiagent defense-attack-defense dynamic game model naturally.The model is adopted to determine the optimal reinforcements for the transmission lines,black start power capacity,and location.Typhoon Hato,which struck a partial coastal area in Guangdong province in China in 2017,was adopted to formulate a step-by-step model of a typhoon attacking coastal area power systems.The results were substituted into the multiagent defense-attack-defense dynamic game model to obtain the optimal transmission line reinforcement positions,as well as optimal BSU capacity and geographic positions.An effective typhoon defense strategy and minimum load shedding were achieved,demonstrating the feasibility and correctness of the proposed strategy.The related theories and methods of this study have positive significance for the prevention of uncertain large-scale natural disasters.

关键词

多个体规划/动态博弈/台风/停电防御

Key words

Multiagent planning/Dynamic game/Typhoon/Blackout defense

引用本文复制引用

Kai Su,Liping Jiang,Jizhen Liu..基于动态博弈理论的网源协同台风防御策略研究[J].全球能源互联网(英文),2021,4(3):285-294,10.

基金项目

This work was supported by the National Natural Science Foundation of China (No.U1766204). (No.U1766204)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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