Robustness Analysis And Optimization Of Network Structure For Energy Internet

Energy Internet is an energy interconnection and sharing network based on information and communication technology,which can effectively accommodate large-scale distributed clean energy.It is a huge complex network system,and robustness is an important evaluation index of network structure.Therefore,it is very necessary to analyze and optimize the network structure of energy Internet from the perspective of complex network.Firstly,this paper investigates the dual-network coupling characteristics based on complex networks,and then emphatically analyses the traditional robustness index in complex large power grids.It is found that the traditional robustness index only considers the maximum connected component in the network when evaluating the network robustness,while the renewable energy in the energy Internet is large in quantity and widely distributed,and the other connected components except the maximum connected component should be considered.Based on this,a new robustness index is proposed.Through simulation analysis and comparison,it is found that the index is more realistic than the traditional robustness index in judging network robustness.Next,this paper abstracts the system architecture from the perspective of local energy internet.Firstly,the above-mentioned robustness index model about generation nodes is established,and then the conditions that need to be satisfied when the regional robustness is optimal can be obtained.Under these conditions,the revenue of each user in the cell is modeled,and then the simulation is carried out by convex quadratic programming algorithm to obtain the electricity sales when the revenue of the whole system is optimal.At this time,we can get the optimal electricity sales of each user in the cell,which can guide user behavior.