Abstract
Wind power has become the main power generation method in China’s clean energy power generation because of its clean and high efficiency, as well as its high power utilization rate. The research on its pricing mechanism has also become the main research focus of the wind power industry. However, wind power pricing is still at the stage of price benchmarking and no market mechanism has been introduced in China. There are still much research on the pricing mechanism of wind power for us to study. In this paper, the Kernel method is used to distribute wind power income. On the basis of the distribution result, considering the contract execution risk of wind power, cooperative game theory and the Shapley value method are used to redistribute the revenue of wind power connected to power grid. Based on the characteristics of alliance members, ANP (Analytic Network Process) was used to modify the apportioned benefits to obtain the benefit distribution method that was more in line with the interest demands of members, and an example was analyzed. The wind power pricing model based on the cooperative game established in this paper can guarantee the smooth operation of the alliance, reach the pareto optimum, and improve the activity of the wind power market. It will effectively shorten the negotiation time, and reduce the transaction cost and the uncertainty of the wind power transaction.
Highlights
Energy is the economic lifeline of a country, and an important strategic resource.In recent years, with the continuous increase of government policy support, the wind energy industry has shown rapid development
The wind power pricing model based on the cooperative game established in this paper can guarantee the smooth operation of the alliance, reach the pareto optimum, and improve the activity of the wind power market
Based on the wind power load demand, this paper introduces the idea of a cooperative game, where the buyers and sellers negotiate and formulate the contract electricity price according to their respective contributions and inputs, and establish the wind power pricing mechanism and profit distribution model under a cooperative trading mode
Summary
Energy is the economic lifeline of a country, and an important strategic resource. The fund comes mainly from additional revenue from renewable electricity tariffs levied on electricity users Under this model, renewable energy power generation companies have long capital recovery cycles and large capital pressures. Based on the risk assessment results of bilateral trading participants and their trading objects, the Shapley value method is used to allocate the cooperative benefits, which effectively urges traders, especially those with large demand, to make reasonable offers, and improves trading efficiency. It can put forward a more realistic pricing model, and help the development of wind power in China
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
