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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1007914/full |
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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 |
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