湖南工业大学学报2026，Vol.40Issue(3)：24-32,9.DOI:10.20271/j.cnki.1673-9833.2026.3004
基于改进人工蜂鸟算法的主动配电网无功优化
Study on Reactive Power Optimization in Active Distribution Networks Based on an Improved Artificial Hummingbird Algorithm
摘要
Abstract
In view of the significant challenges for active distribution networks when addressing the instability of distributed power output and coordinating diverse reactive power compensation devices within the network as numerous distributed power sources are integrated into the grid,a novel voltage stability index has thus been introduced on the basis of the branch decomposition and saddle point voltage difference in the PV curve so as to address the issues of excessive voltage deviation and high network losses in the current distribution network.By improving the artificial hummingbird algorithm to solve the above-mentioned model,in order to enhance the performance of the algorithm,Tent chaotic mapping method is introduced to realize a more uniform population distribution,with mutation operation introduced to avoid the algorithm from getting trapped in local optima.With a simulation validation conducted in the IEEE-33 system,the results demonstrate that compared to traditional algorithms,an optimization of the model with the improved artificial hummingbird algorithm significantly reduces voltage deviation and active power losses,thereby ensuring stable operation of the power grid.关键词
主动配电网/改进人工蜂鸟算法/无功优化/Tent混沌Key words
active distribution network/improved artificial hummingbird algorithm/reactive power optimization/Tent chaos分类
信息技术与安全科学引用本文复制引用
陈泽文,宁志毫,曾进辉,周武定..基于改进人工蜂鸟算法的主动配电网无功优化[J].湖南工业大学学报,2026,40(3):24-32,9.基金项目
国家自然科学基金资助面上项目(52377185) （52377185）
