基于多状态模型的风电参与提供备用容量机组组合优化

Multi-state Model Based Unit Commitment Optimization with Wind Power Providing Reserve Capacity

高渗透率的风电使发电侧对柔性调度的需求不断增加,为满足日益增长的系统备用容量需求,提出风电参与提供备用容量。首先,根据风电功率的预测概率分布,以及不同时刻、不同风电场之间的相关性,建立了不同风电场的多状态模型;其次,基于所提出的多状态模型,对风电向上、向下备用容量进行了定量分析;然后,将风电可调备用容量应用于随机日前机组组合模型中,通过平衡发电经济性和风电调度裕度来确定最优备用容量计划。在所提日前机组组合模型中,计及日前预测风电功率和可能的实时变化,仿真分析验证了该方法的有效性。

The high penetration of wind power has contributed to the increasing demand for flexible dispatching on the generation side.To meet the increasing demand for system reserve capacity,wind power is proposed to provide reserve capacity.First,according to the predictive probability distribution of wind power and the correlation between different time points and different wind farms,the multi-state models of different wind farms are established.Second,the upward and downward reserve capacity of wind power is analyzed quantitatively based on the proposed multi-state model.Afterwards,the adjustable reserve capacity of wind power is utilized in a stochastic day-ahead unit commitment model to determine the optimal reserve schedule by balancing the generation economy and wind power dispatching margin.In the proposed day-ahead unit commitment model,the predicted wind power and possible real-time variations are taken into account.The effectiveness of this method is verified by simulation analysis.