Abstract
With the in-depth development of decarbonization in the power system, renewables will gradually occupy a dominant position in the electricity spot market. The significant impact of renewable energy market power on the electricity market under high renewable penetration has emerged as a critical concern, particularly in countries with high market concentration like China. This paper explores how the market power and the market concentration of renewables impact the operation and pricing of the electricity market at elevated renewable penetration. The game-theoretic interactions between strategic bidding behaviors and electricity markets under different market concentration levels are modeled through a bi-level optimization framework. A novel algorithm based on multi-agent reinforcement learning is put forward to efficiently solve the model with multiple generation companies in a provincial power system. The proposed model and algorithm are applied to the West Inner Mongolia of China. The results show that strategic bidding by renewables under high market concentration induces severe curtailment and high prices through physical and financial withholding. Although reduced concentration drives rapid price declines, converged levels remain substantially higher than those in marginal cost bidding scenarios, demonstrating that strategic bidding effectively mitigates the price suppression effect caused by renewable energy expansion.
| Original language | English |
|---|---|
| Article number | 111277 |
| Number of pages | 16 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 172 |
| Early online date | 30 Oct 2025 |
| DOIs | |
| Publication status | Published - Nov 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- electricity market
- market power
- high renewable penetration
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