| Autor: |
Jingdong Xie, Bowen Guan, Yin Yao, Ruizhen Li, Quan Shi |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Frontiers in Energy Research, Vol 11 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2296-598X |
| DOI: |
10.3389/fenrg.2023.1270681 |
| Popis: |
The construction of China’s power spot market is still in its early stage, with a high concentration on generation-side resources and frequent market power. It is urgent to establish risk prevention mechanisms for the generation of market power. First, the paper establishes a basic framework of the stochastic evolutionary game theory and then builds a “stochastic evolutionary game market-clearing” model for the market regulator and risk units. Second, the work provides a library of multi-dimensional monitoring and evaluation indicators for the regulator and creates a quantitative risk prevention strategy for the power spot market in China. Finally, an evolutionary dynamic analysis is conducted on players’ strategic evolution space and changes in market risks. Based on a simulation of actual data from an electricity market in China, it turns out that the generation-side market power risk prevention mechanism can lower market transaction and operational risks in a variety of power supply–demand scenarios. The study theoretically supports the development of market power risk prevention and provides more realistic insights into China’s power spot market as well. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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