Control strategy is a crucial technology for solving the mismatch between supply and demand in photovoltaic (PV) systems. Model predictive control (MPC) has high accuracy but high system complexity and cost, thus limiting its application. Control strategy is a crucial technology for solving the mismatch between supply and demand in photovoltaic (PV) systems. Model predictive control (MPC) has high accuracy but high system complexity and cost, thus limiting its application. This study proposes a busbar-voltage-based control strategy and applies it to a farmhouse equipped with a PV sy. PV systemBusbar voltage-based control strategyExperimentEnergy flexibilityP Power of the PV system (W)I Current of the PV system (A)K Distance from the maximum power point and the adjustment directionkd Droop coefficientUdcref Rated output voltage of the bus (W)Photovoltaic (PV) power is a clean, renewable energy source. Increasing the proportion of PV power effectively decarbonizes building energy utilization [2,3]. For rural buildings, in particular, adopting PV systems can help the countryside move away from dependence on fossil energy and thus achieve carbon neutrality [4,5]. However, PV power is heavily dependent on weather conditions and is highly volatile throughout the day [6,7]. This leads to a severe mismatch between the PV power and load of the building, limiting the application of PV systems in building energy services [8,9].Owing to the high volatility of PV power, control strategies play a key role in ensuring the stable operation of PV systems. Control strategies for PV sy. Owing to the decentralized nature of rural buildings, the utilization of communication systems increases the cost of the control strategy. Moreover, the limited economic status of farmers hinders the promotion of high-cost MPC solutions in rural areas. Therefore, rural PV systems require adaptive RBC control methods, which do not require communicat.