A Monte Carlo tree search-based method for decision making of generator serial restoration sequence

Reasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequence based on Monte Carlo tree search algorithm. First, the generator serial restorati...

Full description

Bibliographic Details
Main Authors: Wenwen Xu, Shuting Chen, Guangxin Han, Nan Yu, Han Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1007914/full
_version_ 1797955502503624704
author Wenwen Xu
Shuting Chen
Guangxin Han
Nan Yu
Han Xu
author_facet Wenwen Xu
Shuting Chen
Guangxin Han
Nan Yu
Han Xu
author_sort Wenwen Xu
collection DOAJ
description Reasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequence based on Monte Carlo tree search algorithm. First, the generator serial restoration sequence mechanism during the restoration process is analyzed. Considering the maximization of the total power generation capacity as the objective function, this paper also consider generator’s hot start. Second, the Monte Carlo tree search algorithm (MCTS) is applied to decide the generator serial restoration sequence. In the simulation stage of MCTS, the Dijkstra’s algorithm is utilized to determine the shortest path between the selected generator and the recovered power system. Finally, the IEEE 39 bus system and Hebei power grid system are used to validate the proposed algorithm. Simulation results show that the proposed method is efficiency and it can provide an reasonable generator serial restoration sequence to maximizing power generation during the restoration process.
first_indexed 2024-04-10T23:34:08Z
format Article
id doaj.art-950e8b68f12b47be8940f5bf78321bf1
institution Directory Open Access Journal
issn 2296-598X
language English
last_indexed 2024-04-10T23:34:08Z
publishDate 2023-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Energy Research
spelling doaj.art-950e8b68f12b47be8940f5bf78321bf12023-01-12T04:15:07ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10079141007914A Monte Carlo tree search-based method for decision making of generator serial restoration sequenceWenwen XuShuting ChenGuangxin HanNan YuHan XuReasonable generator serial restoration sequence is a key issue to the system restoration following blackouts. This paper proposed an optimization method for the decision making of generator serial restoration sequence based on Monte Carlo tree search algorithm. First, the generator serial restoration sequence mechanism during the restoration process is analyzed. Considering the maximization of the total power generation capacity as the objective function, this paper also consider generator’s hot start. Second, the Monte Carlo tree search algorithm (MCTS) is applied to decide the generator serial restoration sequence. In the simulation stage of MCTS, the Dijkstra’s algorithm is utilized to determine the shortest path between the selected generator and the recovered power system. Finally, the IEEE 39 bus system and Hebei power grid system are used to validate the proposed algorithm. Simulation results show that the proposed method is efficiency and it can provide an reasonable generator serial restoration sequence to maximizing power generation during the restoration process.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1007914/fullgenerator restoration sequencerestoration pathserial restorationhot startMonte Carlo tree searchDijkstra algorithm
spellingShingle Wenwen Xu
Shuting Chen
Guangxin Han
Nan Yu
Han Xu
A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
Frontiers in Energy Research
generator restoration sequence
restoration path
serial restoration
hot start
Monte Carlo tree search
Dijkstra algorithm
title A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
title_full A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
title_fullStr A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
title_full_unstemmed A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
title_short A Monte Carlo tree search-based method for decision making of generator serial restoration sequence
title_sort monte carlo tree search based method for decision making of generator serial restoration sequence
topic generator restoration sequence
restoration path
serial restoration
hot start
Monte Carlo tree search
Dijkstra algorithm
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.1007914/full
work_keys_str_mv AT wenwenxu amontecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT shutingchen amontecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT guangxinhan amontecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT nanyu amontecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT hanxu amontecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT wenwenxu montecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT shutingchen montecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT guangxinhan montecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT nanyu montecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence
AT hanxu montecarlotreesearchbasedmethodfordecisionmakingofgeneratorserialrestorationsequence