Harnessing photovoltaic (PV) power is essential to meet climate goals. Yet, increasing the capacity of residential PV installation raises new challenges. Mismatch of power consumption and intermittent generation can heavily increase the burdens of the electricity grid under high PV penetration. The present study quantifies the effects of PV penetration and different levels of demand aggregation of residential load profiles on load matching indicators and power metrics. The examined set of residential load profiles contains 316 measured consumption profiles, while generation profiles are simulated profiles using a probability function regarding PV orientations and sized to meet the net zero energy building sizing per prosumer in the community. Results indicate that for most of the metrics, community size has a moderate or minor effect, and the PV penetration of the community is dominant. In an ideal network under PV penetration of 0.4 the community’s self production is optimal, as well as the increase of peek feedbacks (above the original peak demand of the community) is minimized.