Research on Day-Ahead Market Clearing Model with Renewable Energy Participation
The installed capacity of renewable energy generation has become a significant component of China's power system and continues to grow.Effective market mechanisms can enhance the capacity for absorbing renew-able energy,further increasing its utilization and reducing curtailment rates for wind and solar power.This study investigates the day-ahead market clearing model under a time-based bidding scheme with renewable energy par-ticipation.By applying Q-learning algorithms to solve the day-ahead market clearing model,the study derives op-timal solutions that demonstrate potential improvements in power plant revenues and reductions in generation and emission costs.
day-ahead market clearing modelrenewable energy generationbidding model
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