  The growing penetration of distributed energy resources (DERs) in
distribution networks (DNs) raises new operational challenges, particularly in
terms of reliability and voltage regulation. In response to these challenges,
we introduce an innovative DN operation framework with multi-objective
optimization, leveraging community battery energy storage systems (C-BESS). The
proposed framework targets two key operational objectives: first, to minimize
voltage deviation, which is a concern for a distribution network service
provider (DNSP), and second, to maximize the utilization of DERs on the demand
side. Recognizing the conflicting nature of these objectives, we utilize C-BESS
to enhance the system's adaptability to dynamically adjust DN operations. The
multi-objective optimization problem is solved using the non-dominated sorting
genetic algorithm-II (NSGA-II). Case studies using real-world data are
conducted to validate the effectiveness of the proposed framework. The results
show significant improvements in voltage regulation and DER utilization,
demonstrating the potential of C-BESS in enabling more reliable DN operation.
Our findings contribute to the ongoing discourse on the role of C-BESS in DN
operation enhancement and DER integration.
