考虑多区间划分不确定性的氢电耦合系统鲁棒优化调度

Robust Optimal Scheduling of Hydrogen-electricity Coupling System Considering Uncertainty of Multi-interval Division

因风电的发电特性常存在波动性和随机性强等缺点,规模化的风电应用仍受到较大限制。氢能和风电等可再生能源的耦合利用不但可以平抑可再生能源波动,而且可以提高风电消纳水平。为此,提出一种基于多区间划分不确定性的氢电耦合系统日前优化调度模型。首先,建立了以风电制氢为核心的系统模型;其次根据风电预测误差概率分布建立不确定集,并对不确定集进行多区间划分,从而建立两阶段鲁棒优化调度模型;然后通过列和约束算法将目标函数分解成主问题和子问题进行迭代求解;最后,通过算例仿真验证了所提方法的优势。

Due to the strong volatility and randomness of wind power generation characteristics,large-scale wind power applications are still greatly limited.The coupled utilization of renewable energy such as hydrogen energy and wind power can not only stabilize the fluctuation of renewable energy,but also improve the level of wind power consumption.To this end,a day-ahead optimal scheduling model for hydrogen-electric coupling system based on multi-interval partition uncertainty was proposed.Firstly,a system model with wind power hydrogen production as the core system model was established;secondly,the uncertainty set was established according to the probability distribution of wind power prediction error,and the uncertainty set was divided into multiple intervals,so as to construct a two-stage robust optimal scheduling model;then the objective function was divided into the main problem and sub problems by column and constraint algorithm for iterative solution;finally,the advantages of the method proposed were verified by numerical example simulation.