Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

8 Scopus Citations
View graph of relations

Author(s)

  • Qingming Li
  • Xi Zhang
  • Jianbo Guo
  • Xiwen Shan
  • Zuowei Wang
  • Zhen Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)1402-1406
Journal / PublicationIEEE Transactions on Circuits and Systems II: Express Briefs
Volume69
Issue number3
Online published30 Nov 2021
Publication statusPublished - Mar 2022

Abstract

Power grids are vulnerable to extreme events that may cause the failure of multiple components and lead to severe power outages. It is of practical importance to design effective restoration strategies to enhance the power grid resilience. In this brief, we consider different time scales of various restoration methods and propose an integrated strategy to maximize the total amount of electricity supplied to the loads in the recovery process. The strategy properly combines the slow restoration method of component repair and the fast restoration method of optimal power dispatch. The Q-learning algorithm is used to generate the sequential order of repairing damaged components and update the network topology. Linear optimization is used to obtain the largest amount of power supply on given network topology. Simulation results show that our proposed method can coordinate the available resources and manpower to effectively restore the power grid after extreme events.

Research Area(s)

  • Maintenance engineering, Optimal power dispatch, Power grid resilience, Power grids, Power supplies, Power system protection, Power system reliability, Q-Learning, Reinforcement learning, Resilience, Sequential component repair

Citation Format(s)

Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience. / Li, Qingming; Zhang, Xi; Guo, Jianbo; Shan, Xiwen; Wang, Zuowei; Li, Zhen; Tse, Chi K.

In: IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 69, No. 3, 03.2022, p. 1402-1406.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review