Distributed Finite-Time Optimal Resource Management for Microgrids Based on Multi-Agent Framework

作者：Zhao Tianqiao; Ding Zhengtao

来源：IEEE Transactions on Industrial Electronics, 2018, 65(8): 6571-6580.

DOI：10.1109/TIE.2017.2721923

• Consensus algorithm
• distributed optimization
• finite-time stability
• microgrid
• multi-agent system (MAS)
• optimal resource management

This paper investigates the optimal resource management in a microgrid under various operating conditions. A two-level optimization system is proposed for the distributed optimal resource management based on a multi-agent system framework. The proposed strategy generates a reference of the optimal power output at the top level through local communication. This strategy only requires the information among neighboring participants without a central control coordination, and simultaneously accomplishes resource optimization in a finite time while maintaining the supply-demand balance. The bottom-level control is responsible for the reference tracking of each corresponding participant in a microgrid. The convergent rate of the proposed algorithm is compared with other consensus-based algorithms through simulation studies. Simulation results in the IEEE 14-bus system and an actual islanded system are also presented to demonstrate the overall effectiveness of the proposed strategy.

• 出版日期2018-8