Aiming at the increasingly urgent power supply demand of users and the power quality problem caused by the randomness and volatility of photovoltaic output and load power consumption，a bi-level optimization model of photovoltaic-storage microgrid considering power supply demand is established, and the power quality of the planned microgrid is evaluated. The model takes the minimum standard deviation of equivalent net load and abandonment photovoltaic rate as the upper optimization objective, and the minimum active power loss of microgrid as the lower optimization objective. The energy storage is used to meet the power demand of the guaranteed power supply load as an additional constraint condition, and the genetic algorithm is used to solve the model. Then, the source side, load side and grid side indexes are designed, using the combination weighting method to determine the weight of each evaluation index to achieve the comprehensive evaluation of microgrid power quality. Finally, the effectiveness of the proposed model is verified by the improved IEEE-33 system. The results show that the power quality of microgrid can be improved after considering the power supply demand, and within a certain range, the larger the power supply load, the better the power quality and user satisfaction of the microgrid.