中文摘要：

针对混合储能系统中能量型和功率型储能的不同特点,建立了符合实际需求的微网经济优化模型。根据不同时间尺度提出了日前调度策略和实时调度策略。考虑到日前调度预测精度差的弊端,应用机会约束规划,以一定置信水平下满足备用需求作为可靠性约束,将最小运行成本作为优化目标,利用分时电价差异,优化协调各微源和储能系统出力。针对微网内风机、光伏和负荷等不确定性因素带来的功率波动,实时调度中应用1阶低通滤波算法平滑波动功率,并通过滑动平均滤波方法对滤波后的波动功率在混合储能中进行合理分配,使蓄电池储能承担更多低频功率波动,超级电容器承担高频波动。实时调度按照日前计划进行,实时监测各单元运行状态,并及时修正功率波动累积引起的日前计划偏差。

英文摘要：

According to different features of energy-based energy storage and power-based energy storage in hybrid energy storage system an economic optimization model of microgrid,which corresponds with actual demand,is established.Based on different time scales the day-ahead and real-time scheduling strategies are proposed.Considering poor prediction accuracy of day-ahead scheduling,using chance constrained programming and taking satisfying the demand on reserve under a certain confidence level as reliability constraint and taking the minimum operation cost as the optimization objective and utilizing the difference of TOU price the optimal coordination of the output of micro energy sources and energy storage systems are performed.In allusion to power fluctuation brought about by such uncertain factors as wind turbine,photovoltaic generation and load,in real-time scheduling the first-order low-pass filtering algorithm is applied to smooth the power fluctuation,and the moving average filtering method is utilized to reasonably allocate the post-filtering fluctuating power among hybrid energy storage systems to make the battery energy storage system taking on more low-frequency power fluctuation and the supercapacitor taking on high-frequency power fluctuation.The real-time scheduling iscarried out according to day-ahead plan to monitor operating states of all units in real time and to modify the deviation of day-ahead plan caused by the cumulation of power fluctuation in time.