Aiming at the optimal configuration problem of a large number of distributed generators connected to distribution network under the background of Energy Internet

starting from economy

an optimization model for the location and capacity of distributed power generation is established with the goal of minimizing the sum of investment cost

operation and maintenance cost

network loss cost and power purchase cost. The power flow of distribution network is calculated by using forward and backward method

and an adaptive genetic algorithm is adapted to solve the proposed model. Combining with the analysis of IEEE 33 node structure example

the results show that the proposed model can effectively reduce the network loss and improve the voltage quality while ensuring the economy.