Optimization scheduling of distribution networks considering carbon emission flow and staged carbon trading
Under the context of"dual carbon,"an optimization scheduling model considering carbon emission flow and staged carbon trading mechanism is proposed in this paper to promote the low-carbon economic operation of distribution networks.Firstly,the participation of distribution networks in the carbon trading market is taken into account,and the theory of carbon emission flow is introduced to determine the carbon emission status of each node within the distribu-tion network.Subsequently,the stochastic states of electric vehicles are determined using the Monte Carlo algorithm,and the carbon quota of power generation equipment is obtained based on the entropy weight method.Simultaneously,a carbon quota model for electric vehicles is constructed,and a staged carbon trading mechanism is applied to model electric vehicles,photovoltaic units,wind power generation,and thermal power units.Finally,the system is optimized using an improved particle swarm optimization algorithm,with the objectives of minimizing the system operating cost and maximizing the system carbon income.The proposed model is verified through case studies conducted on an im-proved IEEE-33 node distribution network system,where four operating scenarios are set.The research results demon-strate that the proposed model reduces carbon emissions by 539.43 tons,and the amount of wind and light discarded is reduced by 555.27 kW·h,which also makes the system's carbon revenue increase by 79.627 9 yuan.
万方数据
维普
