The study

at present

on incremental distribution network mainly focuses more on the planning and pricing strategy of the power supply area

while the study on increasing the profit of operation company of incremental distribution grid by way of optimal dispatch is less. In view of this problem

the present dynamic economic dispatch model including P2 G incremental distribution grid is set up with considering such mutual coordination of important adjustment and control measures as P2 G

response of the demand side and energy storage etc

the genetic algorithm based on two layer iterative optimization is proposed

in which the upper layer considers the adjustment cost of discrete equipment for decoupling optimization

white the lower layer performs unified multi-period optimization for the control variables for which the time sequence decoupling cannot be achieved. The improvement of IEEE 33 node is taken as an example

the influence of multiple adjustment and control means on the comprehensive profit of incremental distribution grid is analyzed and discussed

the importance of considering the response of P2 G and the demand side for improving the comprehensive profit of incremental distribution grid is verified and

at the same time

both highefficiencyandcorrectnessoftheproposedalgorithmisproved.