基于最优时段划分的区域电网多时间尺度优化调度

A Multi-time Scale Optimization Dispatching of Regional Power Grid Based on Optimal Time Period Division

源荷联合多时间尺度优化调度对提高区域电网新能源消纳率具有重要意义,但频繁调节损害设备使用寿命。基于此,首先构建区域电网源荷多时间尺度优化调度模型,包括日前和日内2个阶段,日前以发电机为调节手段,目标为系统总运行成本最小;日内以电解铝负荷和火电机组为调节手段,目标为日前-日内系统运行成本最小;其次根据新能源出力波动频率的快慢,基于Fisher时段划分方法对多时间尺度优化模型的时间尺度的长短进行分割,然后以系统运行成本最小为目标,求解源荷最优调控指令。最后以某一实际电网为算例进行仿真验证,结果表明所提模型能够有效降低系统运行成本,减少设备调节次数,保证电网安全经济运行。

Multi-time scale optimization dispatching of the source and load is of great significance for improving the consumption rate of new energy in regional power grid,but frequent adjustments can damage the service life of equipment.Firstly,a source and load multi-time scale optimization dispatching model for regional power grid is constructed,which includes day-ahead and intra-day stages.In the day-ahead stage,generators are taken as the adjustment means,with the goal of minimizing the total operation cost of power system.In the intra-day stage,electrolytic aluminum load and thermal power units are taken as adjustment methods,with the goal of minimizing the operation cost of power system.Secondly,based on the fluctuation frequency of new energy output,the Fisher period division method is used to divide the time scale length of the multi-time scale optimization model.Then,with the goal of minimizing power system operation cost,the optimal control command for source and load is solved.Finally,a simulation verification is carried out by using an actual power grid as an example.The results show that the proposed model can effectively reduce not only the operation cost of the power system,but also the number of equipment adjustments,which ensures the secure and economic operation of the power grid.