Coordinated AGC Algorithm for Distributed Multi-region Multi-energy Micro-network Group [分布式多区域多能微网群协同AGC算法]

作者：Xi L.^*; Zhou L.-P.

来源：Acta Automatica Sinica, 2020, 46(9): 1818-1830.

DOI：10.16383/j.aas.c200105

• Automatic generation control (AGC)
• Comprehensive energy
• Double Q-learning
• Multi-energy microgrid
• Reinforcement learning

Comprehensive energy multi-region coordination is the development trend of the power grid, and the core question is what method to use for multi-region coordination. Based on the integration of the qualification trace and dual Q-learning in Q (σ), this paper proposes a multi-agent collaborative control algorithm for multi-region and multi-energy micro-grid group, named DQ (σ, λ), to avoid high exploration value of traditional reinforcement learning actions. At the same time of evaluation, the distributed multi-region collaboration is obtained. Simulations of the improved IEEE two area load frequency control model and the three area multi-energy microgrid group automatic generation control (AGC) model show that the proposed algorithm has fast convergence and better dynamic performance than traditional methods, and can achieve distributed Synergy of regional multi-energy microgrid groups.

• 单位
  三峡大学