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.
In order to effectively reduce line loss, this paper analyzes the impact of AVC reactive power optimization in high proportion new energy areas on line loss under typical mode, and calculates the impact of new energy output on line loss when net load changes, and summarizes the law of AVC reactive power optimization in high proportion new energy areas and the impact of new energy output changes on power grid line loss. The research results show that the line loss rate of the main grid and the line loss rate of each partial voltage tend to decrease in the three modes of new energy generation, small generation and zero generation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.