The output power fluctuation of photovoltaic(PV)power stations affects the source-load power balance during grid integration

resulting in significant grid losses and voltage deviations. This paper proposes a distribution network loss reduction optimization method that considers source-load-storage coordinated power balance and voltage stability.With sourceload-storage coordinated loss reduction optimization control as the overall objective

the mapping objectives for minimizing power loss and total voltage deviation are respectively derived based on the response characteristics of each unit in the source-load-storage system. Through coordinated control

joint optimization of loss reduction and voltage stabilization is achieved.To improve solution accuracy

convergence speed

and stability

the genetic programming-grey wolf optimizer(GPGWO)algorithm is introduced to iteratively optimize the multi-objective mapping function.Simulation results show that the proposed method achieves significant optimization effects.After optimization

the system net load peak-to-valley difference and maximum node voltage deviation rate are both reduced

and the maximum total active power loss of the system after optimization control is reduced to one-third of its pre-optimization value

effectively reducing system losses. In addition

under various typical weather scenarios such as sunny

cloudy

and rainy weather conditions

the method maintains stable loss reduction performance.