Research On Optimal Production And Transaction Decisions Of Power Generation Companies Under The Constraints Of Carbon Emissions And Green Power

With the continuous expansion of China’s economic scale,energy demand is increasing,but the constraints of resources and environment on energy development are strengthening.The situation of global warming is becoming more and more serious.As a responsible country,China actively undertakes the task of emission reduction.The power industry is the main industry of energy transformation,and also the key field of energy conservation and emission reduction.In the face of the national total carbon quota setting and the implementation of mandatory renewable energy quota,power generation enterprises have a variety of ways to reduce carbon emissions to meet the requirements of renewable energy quota.How to choose to ensure the optimal profit of power generation enterprises is an important problem for enterprises to achieve long-term development.Therefore,this paper studies the optimal production and trading decision-making of power generation enterprises under the constraints of carbon emission reduction and green power.Firstly,the theories and current situation of carbon emission trading,power generation trading and green certificate trading mechanism are sorted out,and the impacts of carbon emission reduction technology investment,power generation trading,carbon emission trading and green certificate trading on production and trading decision-making of power generation enterprises are analyzed,as well as the objectives,constraints and decision-making contents of production and trading decision-making system of power generation enterprises.Secondly,aiming at maximizing the profit of power generation enterprises,considering the constraints of unit output,generation right trading,carbon emission and renewable energy power,an operation research model of production and trading decision-making of power generation enterprises under the constraints of carbon emission reduction and green power is constructed.According to the characteristics of the model,the genetic algorithm and Lévy flight improved genetic algorithm are designed to solve the problem,and the specific solving steps are given.Finally,a specific example is brought into the model for analysis and the results show that the model can obtain the optimal production and trading decisions of power generation enterprises,and can provide guidance for power generation enterprises in the planning period in terms of generation capacity,carbon emission trading volume,carbon emission reduction technology investment,and the number of new renewable energy units.The improved genetic algorithm of Lévy flight improves the speed and convergence of the algorithm.Through the sensitivity analysis,it is concluded that the rise of carbon emission right price is conducive to the carbon emission reduction technology investment of enterprises,increase the profits of enterprises,and improve the emission reduction enthusiasm of power generation enterprises.The increase of carbon emission reduction cost coefficient will make power generation enterprises meet the carbon emission constraints by selling power generation rights,reduce the carbon emission reduction technology investment and reduce the profit.The reduction of total investment funds is not conducive to the expansion of renewable energy units in power generation enterprises.At this time,power generation enterprises buy green certificates at a high price to meet the requirements of renewable energy quota,and their profits are reduced.According to the analysis results,the paper provides relevant suggestions for the production and trading decision-making of power generation enterprises and the policy formulation of relevant national departments.