POWER SPOT MARKET OPERATION OPTIMIZATION CONSIDERING TIME-SHARING BIDDING GAME OF NEW ENERGY-THERMAL POWER BILATERAL PEAK-LOAD TRADING
In view of the difficulty of taking into account the economic benefits of new energy and peaking units in power spot market,a time-sharing game bidding model of bilateral peaking transaction between new energy and thermal power is proposed.Firstly,the existing power spot market clearing mechanism is improved,and the pre-clearing model of new energy and thermal power units participating in market bidding is established.Secondly,considering the market consumption of new energy in the context of the abandonment of wind and light in pre-clearing,a bilateral time-sharing peak-trimming trading mechanism for new energy and thermal power operators is proposed,and a time-sharing bidding model for bilateral peak-trimming trading based on the master-slave game is constructed,with the upper level aiming at maximizing the new income of new energy operators.The pricing strategy of time-sharing peak-load compensation is determined.The lower level thermal power operators respond to the incentive of compensation price,weigh the new income and the cost of peak-load,and realize the clearing of the lower peak-load output.Finally,three scheduling scenarios are simulated and calculated,and the comparison results show that the proposed model can effectively reflect the peak regulation trading intentions of new energy operators and thermal power operators at different periods,achieve the balance between supply and demand of peak regulation resources in the power spot market,promote the market-oriented consumption of new energy,and compensate the peak regulation costs of thermal power units to ensure the healthy development of peak regulation transactions.
renewable energypower marketsgame theorypeak shavingbidding model
万方数据
维普
