风电并网条件下的梯级水电站长期优化调度

Long-term optimal dispatching of cascade hydropower stations under large-scale wind power grid integration

随着新能源的快速发展,大规模风电并网条件下电网需要更多的调节能力,梯级水电站利用其灵活的调节能力可以与大规模风电联合运行。本文研究了风电的日内反调峰特性对梯级水电站发电的影响,并得到梯级水电站的日发电量上下限。然后,通过这个日发电量约束搭建梯级水电站长期调度与短期调度的桥梁,以达到在长期优化调度中考虑风电的短期反调峰特性的目的。以我国西南地区澜沧江下游2座梯级水电站与周边风电为实例进行研究,结果表明,与风电站联合调度后,梯级水电站的长期调度方式需要改变,尤其是汛前枯期的库水位决策与汛后蓄水决策。所提出模型为破解大规模风电并网问题提供新的技术途径。

With new energies developing rapidly,power grids need more regulation capacity under the condition of large-scale wind power grid integration;more cascade hydropower stations start joint operation with large-scale wind power,putting their flexible regulation capacity into use.This paper examines the influence of wind power’s reverse-peak shaving on the generation of such stations,and obtains the upper and lower bounds of their daily generation.Then,we construct a bridge between longterm and short-term dispatching by using these bounds and constraints,considering the short-term shaving characteristics in long-term optimal dispatching.The method is tested in a case study of the cascade hydropower stations in the downstream of Lancang River and the wind power nearby in southwest China.The results show these stations’long-term dispatching modes need to be adjusted after joint operation with wind power,especially their water storage decisions for the periods before and after flood season,verifying our new approach for large-scale wind power grid integration.