Research On Calculation Method Of Renewable Energy Certificate Price

In order to solve the problem of the serious phenomenon of "abandoning wind and light" in many regions in China and the financing gap of renewable energy generation subsidy funds,and optimize power supply structure and promote renewable energy generation,the National Energy Administration has issued a series of policies and regulations on renewable energy certificates(REC)and renewable portfolio standard(RPS).In the context of the above policy,market entities will use the purchase of REC as one of the supplementary means to complete the responsibility for renewable energy consumption.Therefore,for the long-term trend that "market electricity price + REC income" as the main business model of renewable energy generation enterprises,the calculation method of REC price coupled with the electricity market has become an important part of the market entities’ responsibility cost estimate and profit and loss risk assessment.Based on the above background,this paper studies the “REC-electric energy market coupling” calculation method of REC price.First,it defines the development path plan for electricity price mechanism and subsidy mechanism of renewable energy sources(RES),and REC transaction implementation plan in China.Second,it applies the full life cycle cost(LCC)measurement theory to calculate the LCC of onshore and offshore wind power plants and photovoltaic power plants.Based on the optimized clearing model of the spot electric energy market and in order to meet the internal income of renewable energy power generation enterprises,a “REC-electric energy market coupling” optimization model is established.Combined with the seasonal output characteristics of RES,the simulation and calculation method of seasonal curve of REC price is proposed.Finally,based on the positive externality of the RES’s monetary value and using opportunity cost method,another REC price measurement model coupled with the electricity market is built.These two kinds of REC price measurement models are applied to a provincial power grid and the results of these two methods are analyzed and compared.