摘要
针对风电并网功率波动和火电机组调峰压力大等问题,提出一种基于多应用场景的风-火-氢-储耦合系统协同优化控制方法。采用变分模态分解算法对风电功率进行分解,根据双时间尺度并网波动率限制和加权灰色关联度平抑风电并网功率波动,利用碱性电解槽消纳富裕电能协助火电机组深度调峰,将产生的氢能用于平滑风电功率波动场景。通过双重模糊控制在优化电化学储能荷电状态的同时提升火电机组的深度调峰能力,对比分析不同应用场景下风-火-氢-电耦合系统的经济性。通过中国某风电和火电机组的实际运行数据仿真实例验证了该文方法的有效性。
To address the issues of grid-connected wind power fluctuations and the high pressure of peak shaving on thermal power units,this paper introduces a collaborative and optimal strategy for wind-thermal-hydrogen-storage coupling systems based on multiple application scenarios.The variational mode decomposition algorithm is applied to decompose the wind power,and the grid-connected wind power is smoothed according to the dual time-scale grid volatility limits and weighted grey relation analysis.The alkaline electrolyzers consume surplus power to assist the deep peak shaving of thermal power units,and the hydrogen generated is used for smoothing wind power fluctuations scenario.Dual fuzzy control is employed to optimize the state of charge of electrochemical energy storage and to enhance the deep peak shaving ability of thermal power units.Moreover,the economics of the wind-thermal-hydrogenstorage coupling system under different application scenarios are compared.The effectiveness of this method is verified through simulation analysis of the actual operating data at wind and thermal power units in China.
作者
韩晓娟
郭思琪
吕志恒
Han Xiaojuan;Guo Siqi;Lyu Zhiheng(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2024年第11期718-726,共9页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(52277216)。
关键词
制氢
能量管理
模糊控制
多应用场景
深度调峰
hydrogen production
energy management
fuzzy control
multiple application scenarios
deep peak shaving
