| In order to further improve the consumption capacity of renewable energy,break the inter-provincial trade barriers and solve the renewable energy subsidy funding gap and other issues,the National Development and Reform Commission and the National Energy Administration jointly introduced the renewable energy consumption guarantee mechanism in May 2019,which made mandatory provisions on the proportion of renewable energy in China’s electricity consumption.Power retailers and large consumers as the subject to bear the responsibility of consumption,not only need to consider meeting its own energy demand,but also to achieve the lowest weight indicator of renewable energy consumption responsibility.In order to deepen the study of the key points involving the subject in the renewable energy consumption guarantee mechanism and guide the market-based purchase behavior of the subject,this paper adopts the method of combining policy requirements and response plans,theoretical basis and calculation example verification to carry out the research on the electricity purchase decision taking into account the absorption responsibility and risk management.This paper firstly sorts out the process of the introduction of the renewable energy consumption guarantee mechanism by stages,investigates the implementation plans of the renewable energy consumption guarantee mechanism of different provincial administrative regions,and introduces three kinds of allocation plan,aiming at the unreasonable decomposition of responsibility indicators within the province in some provincial implementation plans.Based on the policy requirements of the renewable energy consumption guarantee mechanism and the current situation of China’s electricity supply and demand double-track system,this paper studies the electricity purchase problem of market entities from non-market and market-oriented aspects.In the aspect of non-marketization,two methods of renewable energy power distribution by power grid enterprises are proposed in this paper.In the aspect of marketization,this thesis analyzes the electricity purchasing path of market subjects and clarifies the trading rules in each market and the allocation method of renewable energy consumption.Then two risk measurement tools,conditional value at risk theory and entropy theory,are introduced to manage the power purchase decision risk from two aspects of risk loss size and loss uncertainty.On the basis of the above,the power purchase decision model is constructed in which market subjects participates in the non-water renewable energy forward transaction,other energy forward transaction,electricity spot transaction,excessive consumption transaction and green certificate transaction.This model takes the expected minimum power purchase cost as the goal,and conditional value at risk and entropy as risk constraints.Finally,this paper uses Latin hypercube sampling to generate electricity price scenarios.In order to solve the constructed model and improve the optimization accuracy,this paper improves the chaotic particle swarm algorithm to a certain extent,and uses normalization to deal with the equality constraints in the model.Through simulation examples,it analyzes the impact of risk loss,uncertainty of power purchase decision,and market supply and demand situation of excessive consumption trading market on power purchase decision to provides reference for market participants to participate in electricity transaction. |