Power generation right trading can optimize the allocation of resources, energy conservation and emissions reduction, at present, generation rights trade model to achieve energy saving in the main consideration is the amount of coal saving size, for a complete generation right transaction contract, can clearly see the unit coal consumption amount the contract economy, have certain effect in reducing emissions, the big small but emission reductions not know, so can't quantitative study of generation rights trade on emission reduction effect. In this paper, we established mathematical model in consideration of carbon emissions constraints, social benefit and the network loss factors, and analyze the procedure to solve the model, as the simulated annealing algorithm has good optimization ability, we application the algorithm to the model creatively. Through example analysis and verification, the results show that the model can effectively guide the power enterprise of generation rights trade, from and reflects the quantitative effect of energy saving and emission reduction.
['Huping Yang', 'Jiaxin Peng', 'Huan Chen', 'Zhentao Jiang']
Research of power generation right transaction scheduling model considering carbon emissions constraints blocking