Assessing the Impact of Phase-Aware Load Modeling on Self-Consumption
Residential rooftop photovoltaic (PV) systems are widely deployed in low-voltage networks, where maximizing self-consumption is essential. However, most studies assume balanced three-phase loads, neglecting the inherently single-phase nature of residential appliances. This paper evaluates the impact of phase-aware load modeling on self-consumption in a residential PV system by comparing aggregated and phase-aware representations under normal operation and load-shifting. The load-shifting problem is formulated as a mixed-integer linear programming (MILP) model. Results show that aggregated models systematically overestimate both baseline self-consumption and the benefits of load-shifting. Phase-aware modeling provides more realistic and physically feasible results, although with smaller achievable improvements. These findings highlight the importance of incorporating phase-level modeling for accurate assessment and optimization of residential PV systems.