Abstract：As the penetration rate of household distributed PV in China's low-voltage distribution network

continues to increase，the power flow of the distribution network has changed，leading to more serious problems

such as node voltage overruns and three-phase imbalance，which poses a serious threat to the safe and stable

operation of the distribution network. For situations where the distribution network topology and line parameters are unknown，the traditional voltage control strategy based on power flow calculation is no longer applicable，a datadriven voltage coordination control strategy was proposed for low-voltage distribution networks with high

household photovoltaics penetration. First，a linear approximation model of the low-voltage distribution network

was established，and the least squares method was applied to fit the relationship between node power and voltage

based on the historical operation data of the low-voltage distribution network. Then，the photovoltaic inverter and

energy storage system were used as regulation measures to minimize the degree of node voltage over-limit，

minimize the three-phase unbalance and minimize the amount of equipment regulation as the objective function. The improved multi-objective particle swarm algorithm was utilized to achieve voltage optimization control. Finally，the effectiveness of the proposed voltage coordination control strategy was verified by simulation comparison and

analysis with other control strategies and methods，taking the 21-node low-voltage station as an example.

      Key words：low voltage distribution network；data-driven；voltage coordination control strategy；voltage over-limit；three-phase unbalance；photovoltaic inverter（PVI）；energy storage system（ESS）