考虑平滑效应的多源优化调度模型研究

The Multi-source Optimal Scheduling Model Considering the Smoothing Effect

充分利用风光出力的平滑效应,可以降低可再生能源的总体波动性,有助于缓解风光并网对系统的冲击,提升系统运行经济性。针对基于平滑效应的电力系统多源调度问题,文章首先研究了基于风光出力波动的自适应天气辨识方法,实现了不同天气的自适应辨识;之后,以标准差及电源额定功率对平滑效应进行量化,以平滑效应最优、发电成本最低为双层目标函数,建立了不同天气类型下多源互补双层优化调度模型。通过仿真算例表明,优化调度模型不仅降低了可再生能源的波动性,且减少系统备用成本和发电成本,可以实现系统经济效益的提升。

Making full use of the smooth effect of renewable energy output can reduce the volatility of renewable energy.It reduces the impact of renewable energy access to the grid and improves the economic efficiency of the system.For the multi-source scheduling problem of power system based on the smoothing effect,this paper first studies the adaptive weather identification method based on the fluctuation of wind and power output,and realizes the adaptive identification of different weather.After that,the smoothing effect is quantified by the standard deviation and the power nominal power.With the smoothest effect and the lowest cost of power generation as the double-layer objective function,a multi-source complementary bi-level optimal scheduling model for different weather types is established.The simulation example shows that the optimized scheduling model proposed in this paper not only reduces the volatility of renewable energy,but also reduces the system standby cost and power generation cost,and improves the system economic efficiency.