Attack-and-Defend Game Simulation Considering Strategic Bidding and Market Power Regulation

Yang Xiaolei,Wu Yifeng,Jin Lixiang, Lu Chunliang

2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)（2022）

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摘要

Generators’ strategic bidding behaviors in deregulated electricity markets have been generally studied. However, market operators' abilities to identify and manage market power is gradually improved. This paper proposed a simulation framework around market power simulation, identification. The dynamic balance of market power identifications and strategic bidding behaviors has been studied through simulations.

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关键词

electricity market,market power regulation,deep reinforcement learning,attack-and-defend game

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