水光互补能源基地的多时间尺度优化调度

Multi-time Scale Optimization Scheduling of Hydro-Photovoltaic Complementary Energy Base

针对以往水光互补中长期优化调度中未考虑光伏逐时出力的波动性而导致弃光现象严重的问题,建立了以年、月、日为调度周期,逐步递进的水光互补优化模型。该模型采用基于POA的模拟优化算法,建立多时间尺度下的系统发电效益目标,引入光电消纳度量方法,最终确定梯级水电调度方式。以澜沧江西藏段水光互补基地为例,引用3种具有代表意义的典型水文年进行实例分析。结果表明,本调度方式在保障水电效益的基础上,有效提高了平水、偏枯典型年中的光电消纳率,实现了水光系统发电总效益的提升。

Aiming at the serious problem of photovoltaic curtailment caused by not considering the fluctuation of photovoltaic hourly output in the past long-term optimization scheduling of hydro-photovoltaic complementary,an optimization model of hydro-photovoltaic complementary with yearly,monthly and daily scheduling cycles is established.In this model,the POA-based simulation optimization algorithm is used to establish the multi-time scale power generation benefit target,and the photoelectric absorption measurement method is introduced to determine the cascade hydropower dispatching mode.Taking the hydro-photovoltaic complementary base in the Tibet section of Lancang River as an example,three typical hydrological years with representative significance are cited for example analysis.The results show that,on the basis of guaranteeing the hydropower benefit,this dispatching method can effectively improve the photoelectric absorption rate in the typical year of flat water and dry water,and realize the improvement of the total power generation benefit of the hydro-photovoltaic system.