Distributed Learning Control for Economic Power Dispatch: A Privacy Preserved Approach

• Published in: 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) pp. 821 - 826
• Main Authors: Adibi, Mahya, Woude, Jacob van der
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2020
• Subjects: Cost function; distributed reinforcement learning; economic dispatch; Economics; Frequency control; Mathematical model; Power generation; power system privacy; Privacy; Synchronization

We present a privacy-preserving distributed reinforcement learning-based control scheme to address the problem of frequency control and economic dispatch in power generation systems. The proposed control approach requires neither a priori system model knowledge nor the mathematical formulation of th...