在并网型光储微电网中为了充分发挥储能“峰谷套利”的作用降低微网运行成本，并减少光伏和负荷的功率波动对套利效果的影响，提出了一种基于分时电价以储能为主要调度控制对象的光储微电网源网荷储双时间尺度协调运行策略。在日前优化调度模型中，考虑储能充放电频次和深度造成的储能系统损耗成本，以微电网运行成本最低为目标建立目标函数以确定不同光伏出力和负荷情况下储能最优充放电时段和充放电量。在日内实时控制模型中，根据分时电价机制结合储能日前调度计划和充放电约束将各种光伏出力和负荷情况划分成不同的运行场景，并给出各运行场景下储能充放电功率计算公式以控制储能实时出力并调整日前出力计划，降低光伏和负荷的功率波动对套利效果的影响。通过仿真算例对所提控制策略进行验证，结果表明：所提策略很好地发挥了储能“峰谷套利”的作用，提高了微电网运行经济性，同时降低了光伏和负荷功率波动的影响。

In order to give full play to the role of energy storage "peak valley arbitrage" in the grid-connected photovoltaic storage microgrid to reduce the operation cost of microgrid, and to reduce the effect of photovoltaic and load power fluctuations on the arbitrage effect, a dual-time scales coordinated operation strategy of photovoltaic storage microgrid source-grid-load-storage is proposed based on time-of-use electric price and with energy storage as the main scheduling control object. In the day-ahead optimal scheduling model, the energy storage system loss costs caused by the frequency and depth of energy storage charging and discharging are considered. The objective function is established with the tareget to minimiz the operation cost of microgrid, and optimize charging and discharging period and amount of energy storage under different photovoltaic outputs and load conditions. In the intraday real-time control model, various photovoltaic outputs and load conditions are divided into different operation scenarios according to the time-of-use electric price mechanism, the energy storage day-ahead scheduling plan and charging and discharging constraints. The calculation formulas of energy storage charging and discharging power in various operation scenarios are given to control the energy storage real-time output, adjust day-ahead output plan and reduce effects of photovoltaic and load power fluctuations on the arbitrage. The proposed control strategy is verified by simulation examples. The results show that the proposed strategy plays a good role of "peak-valley arbitrage" of energy storage, and the operation economy of microgrid is improved. At the same time, the influences of photovoltaic and load power fluctuation are reduced.