多时间尺度耦合下自备电厂与风电发电权交易方法OA

[Objective]To address the issues of insufficient wind power integration and the high energy consumption and pollution associated with coal-fired captive power plants,conducting generation rights trading between wind power and captive power plants represents a feasible solution.Although extensive research exists on generation rights trading involving wind power and captive power plants,studies on decision-making behavior that involves refined modeling of uncertainties across multiple time scales remain limited.To bridge this gap,this paper proposes a generation rights trading method for wind farms and captive power plants based on multi-time-scale coupling.[Methods]First,the costs and benefits of each market entity before and after participating in generation rights trading are analyzed to calculate the profit margin of such trading.Second,based on multi-time-scale wind curtailment forecasts,the Copula function is used to compute the conditional probability density distribution model of actual wind curtailment.This enables an analysis of the decision-making behavior of wind farms under multi-time-scale conditions and facilitates the implementation of generation rights trading.Finally,operational data from a provincial power system are used in a case study to validate the rationality of the proposed method.[Results]Compared with the traditional generation rights trading model,the multi-time-scale coupled generation rights trading model increases wind power integration by 3.7%and improves economic benefits by 3.3%.[Conclusions]The proposed multi-time-scale coupling model promotes wind power integration more effectively than traditional generation rights trading,while further exploring potential profit margins and maximizing the overall social benefits of generation rights trading.