In order to improve the distributed photovoltaic carrying capacity of the distribution network

a distributed photovoltaic carrying capacity improvement method considering a variety of regulation and control methods is proposed. Firstly

considering the reactive power control of the inverter on the power supply side

the additional reactive power compensation on the distribution network side and the network reconstruction

a multi-objective optimization planning model with the largest photovoltaic access capacity and the best economy in the distribution network is established. Secondly

aiming at the uncertainty of PV-load in the distribution network

a typical joint timing scenario considering the correlation between PV-load timing is constructed. Finally

the NSGA-II multi-objective optimization algorithm is used to solve the model

and the optimization results are obtained. The simulation results show that the combination of three control methods

namely inverter reactive power control

additional reactive power compensation and network reconstruction

can effectively improve the distributed photovoltaic carrying capacity of the distribution network under the premise of taking into account the economy.