随着分布式能源、柔性负荷和储能装置等资源的不断扩增，配电网逐渐转变成主动参与电网运行的调节与控制的主动配电网。针对储能装置、柔性负荷的利用效率较低等问题，提出一种荷源储协同的优化调度方法。首先，建立一个多时间尺度的主动配电网调度模型，然后以配电网电能质量最佳和最小运行成本为目标函数，以储能约束、网络平衡约束以及柔性负荷约束等作为约束条件。最后通过IEEE-33系统构建主动配电网，建立日前-日内的多时间尺度调度策略，利用随机权重粒子群算法求解多目标优化问题。验证了所提方法的可行性。

As distributed energy resources, flexible loads, and energy storage devices continue to grow, the distribution grid is gradually transforming into an active distribution network that actively participates in grid operation, regulation, and control. To address the inefficiency in utilizing energy storage devices and flexible loads, a coordinated optimization scheduling method for source, load and storage was proposed. Firstly, a multi-timescale scheduling model for active distribution networks was established. The objective functions were set to optimize the power quality and minimize the operating cost of the distribution grid, while considering constraints such as energy storage, network balance, and flexible load utilization. Finally, an active distribution network was constructed using the IEEE-33 system, and a multi-timescale scheduling strategy for day-ahead and intra-day operations was developed. A stochastic weighted particle swarm optimization algorithm was employed to solve the multi-objective optimization problem. The feasibility of the proposed method was validated.