Abstract
The Renewable Portfolio Standard (RPS) as a policy tool to promote renewable energy development has gone through more than ten years in China. In order to research the strategic interaction between governments and power generation enterprises under the background of energy system transformation and upgrading, a learning mechanism was introduced based on the dynamic reward and punishment mechanism, and an evolutionary game model between the government and power generation enterprises was established. The results showed that the evolutionary stability strategy depended on the dynamic reward and punishment mechanism, which is conducive to the gradual stability of the system. The existence of learning mechanism not only reduced the cost of wind power, but also reduced the probability of government supervision.
Highlights
With the rapid development of the economy and society, competition among countries for fossil energy such as coal, oil and natural gas has intensified
The power structure based on thermal power in China is continuously optimized, it still differs from the power structure of developed countries
The enterprises are a stakeholder and the optimization and upgrading of the power structure means increasing the proportion of renewable energy power generation
Summary
With the rapid development of the economy and society, competition among countries for fossil energy such as coal, oil and natural gas has intensified. The Fixed Feed-in Tariff (FIT) and Renewable Portfolio Standard (RPS) are the two most important incentives for renewable energy in the market In recent years, they have achieved significant results in the field of renewable energy power generation in China. The extensive application of evolutionary game theory provides new ideas for the transformation and upgrading of energy systems This analysis method based on the bounded rationality of individuals and considering the mutual imitation and learning of groups in the process of strategy selection is more representative [4,5,6].In addition, the cost advantages obtained by enterprises through technological progress and experience accumulation in the daily production process cannot be ignored [7]. The inclusion of this learning mechanism into the measurement category of the model is helpful to improve the practical significance of the model
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