用于风功率平抑的SOEC系统功率控制策略  

Power Control Strategy of the SOEC System for Smoothing Wind Power Fluctuations

作　　者：武鑫[1] 冯歌 熊星宇 WU Xin;FENG Ge;XIONG Xingyu(School of Energy Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学能源动力与机械工程学院,北京102206

出　　处：《动力工程学报》2023年第12期1626-1633,1674,共9页Journal of Chinese Society of Power Engineering

基　　金：国家重点研发计划资助项目(2017YFB0601900);中央高校基本科研业务费资助项目(2019MS018);国网宁夏电力有限公司科技项目资助项目(SGNXDK00WLJS2200088)。

摘　　要：为了平抑风电场输出功率波动,考虑到固体氧化物电解池(SOEC)电解水制氢的高效率特性,基于实际数据构建千瓦级SOEC电堆模型并验证了模型精度。针对SOEC系统的非线性和时滞特性,提出一种基于模型预测的功率控制策略,用于平抑风电场输出功率波动。根据某15 MW风电场运行数据,采用集合经验模态分解方法,提出一种风电场输出功率分解方法,获得SOEC系统的充电功率指令并进行仿真验证。结果表明:基于模型预测的SOEC系统功率控制效果很好,可以实现充电功率指令的跟随变化,且平均绝对百分比误差为1.674%,平抑风功率波动效果的准确性较高。In order to smooth the fluctuation of wind farm output power,considering the high-efficiency characteristics of solid oxide electrolytic cells(SOEC)for hydrogen production through water electrolysis,a kilowatt-scale SOEC stack model was constructed based on the actual data and its accuracy was verified.To address the non-linearity and time-lag characteristics of the SOEC system,a power control strategy based on model prediction was proposed to mitigate the power fluctuations in wind farms.Based on the operational data of a 15 MW wind farm,a wind farm output power decomposition method was proposed using the ensemble empirical mode decomposition method,so as to obtain charging power instructions of the SOEC system and conduct simulation verification on it.Results show that the power control effect of the SOEC system based on model prediction is very effective,which can realize the following change of charging power command,and the mean absolute percentage error is 1.674%,indicating that it has a high accuracy in suppressing wind power fluctuations.

关 键 词：风力发电 固体氧化物电解池 模型预测控制策略 风电场输出功率 

分 类 号：TK89[动力工程及工程热物理—流体机械及工程]