Data-driven load frequency control for stochastic power systems : a deep reinforcement learning method with continuous action search

• Main Authors: Yan, Ziming, Xu, Yan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Continuous Action Search; Deep Reinforcement Learning
• Online Access: https://hdl.handle.net/10356/141500
• Institution: Nanyang Technological University

This letter proposes a data-driven, model-free method for load frequency control (LFC) against renewable energy uncertainties based on deep reinforcement learning (DRL) in continuous action domain. The proposed method can nonlinearly derive control strategies to minimize frequency deviation with fas...