TY - GEN
T1 - Intelligent power grid load scheduling method based on multi-Agent game
AU - Zhang, Xiaoming
AU - Zhou, Desheng
AU - Zhang, Haoran
AU - Cao, Wenbin
AU - Wang, Mingkai
AU - Wang, Chao
AU - Li, Hongtao
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/12/16
Y1 - 2022/12/16
N2 - Considering that user demand will affect the effect of multi-Time scale intelligent load scheduling in distribution network to some extent, an intelligent load scheduling method based on multi-Agent game is proposed. Due to the fluctuation of power load in the operation process of the distribution network, this paper analyzes the multi-Time scale source load change scenario of the distribution network, alleviates the operation pressure of the distribution network through the short time interaction, analyzes the source load characteristics of the distribution network, and establishes the intelligent optimization objective function of the source load of the distribution network aiming at the lowest operating cost based on the multi-Agent game under the premise of considering the variation of the difference value. According to the day-Ahead scheduling model, the intra-day 2h scheduling model and the intra-day 15min scheduling model of the distribution network, the multi-Time-scale source load scheduling model of the distribution network is constructed, and the multi-Time-scale source load scheduling of the distribution network is realized. The experimental results show that the proposed method has better scheduling effect under different strategies and scenarios, and is suitable for widespread use.
AB - Considering that user demand will affect the effect of multi-Time scale intelligent load scheduling in distribution network to some extent, an intelligent load scheduling method based on multi-Agent game is proposed. Due to the fluctuation of power load in the operation process of the distribution network, this paper analyzes the multi-Time scale source load change scenario of the distribution network, alleviates the operation pressure of the distribution network through the short time interaction, analyzes the source load characteristics of the distribution network, and establishes the intelligent optimization objective function of the source load of the distribution network aiming at the lowest operating cost based on the multi-Agent game under the premise of considering the variation of the difference value. According to the day-Ahead scheduling model, the intra-day 2h scheduling model and the intra-day 15min scheduling model of the distribution network, the multi-Time-scale source load scheduling model of the distribution network is constructed, and the multi-Time-scale source load scheduling of the distribution network is realized. The experimental results show that the proposed method has better scheduling effect under different strategies and scenarios, and is suitable for widespread use.
KW - Distribution network
KW - Intelligent scheduling
KW - Multi-Agent game
KW - Multiple time scales
KW - Objective function
KW - Source load characteristics
UR - https://www.scopus.com/pages/publications/85157998588
U2 - 10.1145/3584376.3584579
DO - 10.1145/3584376.3584579
M3 - 会议稿件
AN - SCOPUS:85157998588
T3 - ACM International Conference Proceeding Series
SP - 1146
EP - 1153
BT - Proceedings of 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
PB - Association for Computing Machinery
T2 - 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
Y2 - 16 December 2022 through 18 December 2022
ER -