Abstract: The increasing penetration rate of distributed PV leads to the degradation in voltage quality and operation economy due to the uncertainty in its output, seriously restricting the further consumption of distributed PV. To address this issue, this paper proposes a joint optimization method for distributed PV capacity, controllable PV location, inverter capacity, and control parameters considering cost constraints. First, an asymmetric parameter control model is built based on the changes in operating scenarios and the reactive power regulation capability of photovoltaic inverters. Subsequently, constrained by control construction and operation costs, a two-layer optimization model is established to coordinate distributed PV grid-connected capacity, inverter coordination capability, as well as the coordination of the control parameters. And a two-stage solution process of optimization scheme formation and probabilistic constraint index scheme calibration is proposed considering the impact of short-term fluctuation uncertainty of photovoltaic and load. Finally, the model is verified by the IEEE33 node arithmetic example. In addition, the effects of asymmetric parameters, controllability of the inverter, cost constraints on the PV admittance capacity and source-load uncertainty on the voltage control are investigated, which offer valuable references for non-developed regions seeking to enhance their PV grid-connected capacity.