In order to improve the power quality and electricity consumption reliability while reducing the cost of electricity, this paper proposes a coordinated optimization of source-storage-load model and an improved strength Pareto evolutionary algorithm. First of all, the users’ energy storage system model is established, and the loads are classified according to whether they participate in demand response or not and how they participate in. Secondly, under the mechanism of time-of-use price and demand response, a multi-objective source-storage-load coordinated optimization model is established with the objectives of reducing the cost of electricity, modifying voltage offset and shortening the outage time at fault. In the established model, the con-straints of power balance, the state of charge of energy storage system and the allowed range of flexible load are considered comprehensively. Then, an optimization solving strategy is proposed based on improved strength Pareto evolutionary algorithm and the multi-objective fuzzy comprehensive evaluation decision method. Finally, the effectiveness of the proposed model is verified by a low-voltage network simulation example.