Research On Generation Rights Trade Model Based On Energy Conservation And Emission Reduction

With the increasing development of the power industry,continuous consumption of fossil fuels such as coal and global greenhouse effect and the increasingly serious environmental problems,how to solve the contradiction between power demand and environmental pollution,resource consumption is important in maintaining social development at the same time.At present,domestic and foreign scholars and researchers in the study of energy-saving power generation rights trade,consumption as the main objective of the study was to consider it will usually occur on both sides of the generation right transaction unit itself consumption balance and complete the transaction after the unit comprehensive coal consumption,but for how the system loss and comprehensive benefits such as the transaction index into the generation right transaction and not too many in-depth study.Based on these backgrounds,this paper firstly introduces the definition and types of generation rights transaction in detail,and expounds the significance of the generation right trade market.Secondly,the traditional single objective model for generation rights trade are analyzed,find the point to be improved in the model,such as the maximum energy saving as a trading goal but ignore the adverse effects of the power system network loss increment brought by using these research results put forward some methods and ideas for improvement,the formation of matchmaking trading model improved.Finally,the ant colony algorithm is introduced briefly,and the generation rights comprehensive transaction model is established,and the model is optimized and improved.As in the study of other generation rights trade model,the use of intelligent algorithm is a feasible solution to the development trend of generation rights trade model,so the ant colony algorithm is applied to solve the process of generation rights trade,can make the optimization process of generation right transaction model of multi objective function is more intuitive,and ultimately find excellent results are compared with the target.In this paper,considering the carbon emissions,incremental loss as constraints on the optimal energy and total social benefit as the objective function,according to the actual situation of China power market of generation right transaction was studied,established a multi-objective model for generation rights trade incremental loss and energy-saving emission reduction comprehensive considering the.Finally,with the help of IEEE-14 standard system,the simulation analysis and Experimental Research on the model are carried out.The results show that the power generation trade model with the optimal energy saving combined with the carbon emission and the network loss increment can better realize the energy saving and emission reduction and optimize the allocation of resources.