Open AccessReactive Power Optimization Based on AVC Time-division Control Strategy
Author(s) -
Xiaomin Wang,
Wang Hb,
J Zhang,
SC Liu,
YF Ma,
Wei Yan
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2158/1/012011
Subject(s) - ac power , division (mathematics) , genetic algorithm , computer science , transformer , mathematical optimization , capacitor , control theory (sociology) , power (physics) , control (management) , voltage , engineering , mathematics , electrical engineering , physics , arithmetic , quantum mechanics , artificial intelligence
In order to avoid frequent actions of transformer taps and capacitor banks caused by reactive power optimization, this paper proposes a reactive power optimization based on AVC time division control strategy. The time division control strategy is used to segment the load curve of the next day, and the reactive power optimization process of each period is calculated by genetic algorithm. The strategy and algorithm are applied to the reactive power and voltage optimization of IEEE 30 bus system. The simulation results show that the method can realize reactive power optimization more efficiently.