风-光-火-蓄联合系统两阶段优化调度

由于间歇性能源出力具有不确定性，该文利用抽水蓄能容量大、响应速度快的优势，建立风-光-火-蓄两阶段动态调度模型。长时间尺度以总成本最低为目标，综合考量系统运行成本、SO₂、NO_X、PM排放量、弃风弃光量惩罚，来优化可控电源出力。短时间尺度以长时间尺度为基准，基于模型预测控制原理滚动求解出力增量，使抽蓄机组有功出力偏差最小，以增强调度的平滑性。最后根据东北某地区抽蓄机组实际数据及改进的IEEE-30节点系统仿真验证了该文所提模型的有效性，以此来降低系统的污染物排放水平，提升系统对风电、光伏的消纳能力。

TWO-STAGE OPTIMAL DISPATCHING OF WIND POWER-PHOTOVOLTAIC-THERMAL POWER-PUMPED STORAGE COMBINED SYSTEM

Grid-connection of wind power and photovoltaic is an effective means to reduce pollutant discharge from traditional coal-fired power plants. However, there is uncertainty in its intermittent energy output and the high-proportioned grid-connection results in challenges to the stable operation of electric power systems. In view of this, this paper utilizes the advantages of pumped storage in large capacity and fast response to establish a two-stage dynamic scheduling model of wind power, photovoltaic, thermal power and pumped storage. The long-time scale is aimed at minimizing total cost, so as to optimize controllable power output through considering the cost of system operation, emissions of SO₂, NO_X and PM, and punishment from wind and photovoltaic abandonment in an integrated way. With the long-time scale as the benchmark, the short-time scale is to continuously solve the output increment on the basis of the model predictive control principle and minimize the active output deviation of the pumped storage unit so as to enhance the smoothness of the scheduling. Finally, the actual data of pumped storage units in a region of northeast China and the improved IEEE-30 node system simulation are followed to verify the effectiveness of the model proposed herein, so as to bring down the pollutant-discharge level of the system and raise the capacity of the power system for consumption of wind power and photovoltaics.