TY  - EJOU
AU  - Liang, Xiaowen 
AU  - Sun, Xiaomin 
AU  - Kuang, Zilun 
AU  - Wu, Hongyao 
AU  - Liu, Chunfang 
AU  - Wu, Zhidan 
AU  - Zhao, Weixin 
AU  - Wang, Xiaojing 

TI  - Agent-Based Distributed Economic Dispatch for Multi-Microgrid Networks
T2  - Energy Engineering

PY  - 
VL  - 
IS  - 
SN  - 1546-0118

AB  - For the economic dispatch problem of distributed microgrid clusters, traditional centralized methods heavily rely on continuous and reliable remote communication. However, in practical systems, communication links may face interruption risks due to natural disasters or human factors, leading to data loss and power imbalance. To enhance system robustness, this paper proposes an agent-based decentralized economic dispatch mechanism. This mechanism employs autonomous agents deployed in each sub-region to locally aggregate distributed energy resources and achieves collaborative optimization through peer-to-peer communication. A dual-layer consensus algorithm is adopted to coordinate power allocation, local agents use the method of proportional distribution to approach the optimal solution, avoiding a large amount of data interaction, and a real-time communication detection module is integrated to dynamically adjust consensus parameters in the event of data loss, thereby maintaining optimization performance even under prolonged communication interruptions. Simulation tests based on a modified IEEE 39-bus system demonstrate that, in scenarios with communication impairments, the proposed mechanism can effectively maintain system voltage and frequency stability while minimizing generation costs. Compared with centralized dispatch approaches, the proposed method reduces dependence on communication infrastructure and provides a more resilient scheduling solution for microgrid clusters susceptible to communication failures.
KW  - Microgrid group; agent-based optimization; decentralized dispatch; communication outage

DO  - 10.32604/ee.2026.080116