考虑碳交易和需求响应的工业园区优化运行方法OA

Existing regulation methods for industrial parks seldom balance the multi-objective synergies among carbon emissions,economic benefits,and power grid balance.Therefore,an optimized scheduling method for industrial parks that considers carbon trading and demand response is proposed.Firstly,an improved stepped carbon trading mechanism is constructed based on the carbon trading price mechanism in the actual electricity market to incentivize low-carbon operation of resources.Secondly,in response to the massive and heterogeneous na-ture of flexible resources within the park,a mathematical model of adjustable resource response is established to depict resource response behavior and cost characteristics.Furthermore,an optimized operation model for industrial parks is constructed,with economic benefits and carbon emissions as the optimization objectives,to perform multi-resource collaborative scheduling and fully leverage resource complemen-tarity.Finally,a multi-objective particle swarm optimization(MOPSO)algorithm and a comprehensive membership degree method are ad-opted to seek multi-objective solutions.The case study results demonstrate the significant value of the proposed method in industrial parks.