Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization

This study contributes to establish the dynamic reconfiguration integrated optimization model of active distribution network (ADN) and proposes a novel solving approach based on multi-objective sparrow search algorithm. Distributed generation time-varying load have an important impact promoting sustainable development reducing energy loss. Therefore, this aims investigate ADN problem in consideration distributed improve power quality, economic benefits. First, algorithm is proposed aiming at multi-objective, multi-constraint, non-linear high-dimensional problem, superiority verified. Second, mathematical constructed. Finally, multi-scenario test conducted classic system verify effectiveness method, compromise solution determined through technique for order preference by similarity ideal (TOPSIS). The result shows that method effectively reduces loss node voltage deviation 75.76% 70.06%. Accordingly, significance improving operational stability ADN, increasing penetration rate renewable production.