A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution

• Published in: IEEE transaction on neural networks and learning systems Vol. 30; no. 9; pp. 2684 - 2695
• Main Authors: Ni, Zhen, Paul, Shuva
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Electric power; Electric power grids; Electricity distribution; Game theory; Games; Learning; Machine learning; Markov decision process and vulnerability analysis; Multistage; multistage game; Power system dynamics; Power transmission lines; Reinforcement; Reinforcement learning; Security; Smart grid; smart grid security; Smart grids; Transmission lines

Existing smart grid security research investigates different attack techniques and cascading failures from the attackers' viewpoints, while the defenders' or the operators' protection strategies are somehow neglected. Game theoretic methods are applied for the attacker-defender games...