Glocal Control of Load Frequency for Electrical Power Networks with Multiple Shared Model Sets

Abstract

Load frequency control of electrical power networks to balance the demand and supply based on automatic generation control (AGC) has been widely studied for years. As the power networks become more complex, we face the essential issue: How to design the load frequency control systematically to assure the stability of the overall system while optimizing the global/local control performances? To this end, in this paper, we propose a framework for glocal (global/local) control of load frequency. The command to each local governor includes two signals: the local signal through the corresponding area-control error (ACE) in the lower-layer, and the global signal distributed from the upper-layer by controlling the average frequency aggregation. We will clarify the role-sharing of the upper and lower layers via two model sets which are shared in both control layers. Finally, we demonstrate the trade-off between upper and lower performances through the volumes of model sets, and verify the effectiveness of the proposed method by simulations.