Electric vehicle (EV) charging synchronization causes voltage violations in low-voltage (LV) distribution grids. To resolve these operational limits, this paper proposes a communication-free, decentralized adaptive voltage-power (V-P) charging strategy that combines grid stability, spatial fairness, and end-user economic optimization. We validate the proposed architecture through Monte Carlo simulations on the IEEE LV test feeder, integrating empirical residential EV charging data from France to capture stochastic real-world demand. We benchmark the algorithm against uncontrolled demand, traditional voltage droop, and price-optimized charging. Results demonstrate that the adaptive V-P controller matches the EN50160 compliance of traditional droop control (0.0% of simulation runs resulting in voltage violations) while significantly improving spatial equity across the feeder. Economically, the strategy achieves the same average charging price (0.11 €/kWh) as price-optimized scheduling, outperforming both droop and uncontrolled baselines.

Ultimately, the proposed controller increases the hosting capacity of the LV network while ensuring equitable curtailment distribution and minimizing end-user charging costs.