  In PV-rich power distribution systems, over-voltage issues are often
addressed by curtailing excess generation from PV plants (in addition to
reactive power control), raising fairness concerns. Existing fairness-aware
control schemes tackle this problem by incorporating fairness objectives into
the cost function. However, such schemes result in increased overall
curtailments. This paper proposes a solution through daily topology
reconfiguration, ensuring that different PV plants face varying grid conditions
each day, leading to different curtailment levels and enhancing fairness. We
illustrate that implementing this approach enhances overall fairness without
significantly increasing overall curtailments. The optimization problem
involves two stages. The day-ahead stage optimizes the network topology using
day-ahead forecasts of PV generation and demand, minimizing net curtailment and
accounting for fairness based on curtailments from prior days. The real-time
stage implements the optimized topology and computes active and reactive power
setpoints for the PV plants. Day-ahead grid constraints are modeled using
LinDistFlow, and real-time control employs a linearized model with a
first-order Taylor approximation. The proposed scheme is numerically validated
on several benchmark test cases. Results are compared using the Jain Fairness
Index, considering fairness and reconfiguration scenarios.
