Abstract: With the large-scale integration of distributed renewable energy sources (RES), the power system faces challenges such as power flow fluctuations and voltage violation caused by wind power and photovoltaic (PV) systems. To coordinate the controllable resources and optimize the operation of the system, a distributed reactive power optimal dispatch strategy is proposed considering flexible resources on the load side. Mathematical models for three typical load-side flexible resources are established to simulate their reactive power regulation capabilities. A multi-objective reactive power optimization model that accounts for the load side resources is proposed to minimize both the power losses and voltage deviations. Subsequently, the distribution network (DN) is segmented, and the model is reconstructed into a distributed optimization model. A distributed solution method based on the Residual balancing based adaptive alternating direction method of multipliers (RBA-ADMM) algorithm is developed to address the proposed model. This method is capable of adaptively adjusting penalty parameters, thereby improving the convergence and computational speed of distributed algorithms. Case studies based on a modified IEEE 33-bus distribution system demonstrate the effectiveness of the proposed strategy in mitigating power losses and voltage deviations. Additionally, numerical results also validate the superior computational efficiency of the RBA-ADMM based distributed solution method.