Multi-objective Distributed Optimization for Zonal Distribution System with Multi-Microgrids
Tao Xu, Lemeng Liang, Zuozheng Liu, Rujing Wang, Lingxu Guo

TL;DR
This paper proposes a distributed optimization method using ADMM with adaptive penalty to manage microgrids in a distribution network, aiming to improve voltage stability and reduce losses while minimizing costs.
Contribution
It introduces a novel distributed optimization approach combining ADMM with adaptive penalty modulation for multi-microgrid systems in distribution networks.
Findings
Effective voltage regulation demonstrated on IEEE 33-bus system.
Reduced network losses through distributed management.
Lower operating costs achieved within microgrids.
Abstract
The issue of voltage variations caused by integration of renewables has been addressed in this paper through distributed management of Microgrids (MGs). The distribution network (DN) takes the network losses and voltage quality as objectives, an alternating direction method of multipliers (ADMM) with adaptive penalty modulation has been proposed to realize distributed optimization with improved convergence. On the basis of satisfying the optimization target on the system level, the individual MG manages the controllable resources inside the MG to minimize the operating cost on the lower level. The feasibility and effectiveness of the proposed method has been demonstrated on a modified IEEE 33-bus system.
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Taxonomy
TopicsMicrogrid Control and Optimization · Optimal Power Flow Distribution · Smart Grid Energy Management
